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Ontario Tech acknowledges the lands and people of the Mississaugas of Scugog Island First Nation.

We are thankful to be welcome on these lands in friendship. The lands we are situated on are covered by the Williams Treaties and are the traditional territory of the Mississaugas, a branch of the greater Anishinaabeg Nation, including Algonquin, Ojibway, Odawa and Pottawatomi. These lands remain home to many Indigenous nations and peoples.

We acknowledge this land out of respect for the Indigenous nations who have cared for Turtle Island, also called North America, from before the arrival of settler peoples until this day. Most importantly, we acknowledge that the history of these lands has been tainted by poor treatment and a lack of friendship with the First Nations who call them home.

This history is something we are all affected by because we are all treaty people in Canada. We all have a shared history to reflect on, and each of us is affected by this history in different ways. Our past defines our present, but if we move forward as friends and allies, then it does not have to define our future.

Learn more about Indigenous Education and Cultural Services

Dr. Carolyn McGregor AM

 

PhD (Comp Sc)

B. App. Sc (Comp Sc, 1st Hons)

SMIEEE, MACM

 
Professor
Canada Research Chair (Alumni) in Health Informatics
Faculty of Business and Information Technology

 

 

Dr. Carolyn McGregor AM

Professor Carolyn McGregor is the Research Excellence Chair in Health Informatics, Chair in Artificial Intelligence for Health and Wellness and a two-time Canada Research Chair in Health Informatics at Ontario Tech University. She is also the co-Director of the Joint Research Centre in Artificial Intelligence for Health and Wellness between Ontario Tech University and the University of Technology, Sydney. Dr McGregor has led pioneering research in Big Data analytics, artificial intelligence, deep learning, internet of things, temporal data mining and cloud computing. As a result, she has received countless awards, the most notable being inducted into the order of Australia. She now progresses this research within the context of critical care medicine, precision public health, mental health, astronaut health and military, tactical officer and firefighter training.

 

 

Research topics

Big Data | Health Informatics | Intelligent Clinical Decision Support Systems | Stream Computing | Temporal Data Mining | Critical Care Health Informatics | Neonatal Health Informatics | Cloud Computing in Healthcare | Patient Journey Modeling | Women in Computing and IT

 

 

Background

Professor Carolyn McGregor AM is the Research Chair in Artificial Intelligence for Health and Wellness and a two-time Canada Research Chair in Health Informatics based at Ontario Tech University. She is the Founding Director of the Joint Research Centre in Artificial Intelligence for Health and Wellness between Ontario Tech University and University of Technology Sydney, Australia. Dr McGregor AM has led pioneering research in Big Data analytics, artificial intelligence, deep learning, internet of things, stream computing, temporal data mining and cloud computing. She now progresses this research within the context of critical care medicine, precision public health, mental health, astronaut health and military and civilian tactical training. She is the inventor and lead on two international award-winning AI driven Big Data analytics platforms for health and wellness, Artemis and Athena.

In 2001, she was the first Australian to be invited to complete a prestigious three month research internship with IBM's TJ Watson Research Center in Yorktown, NY, usually only offered to American researchers.

In 2007, she was awarded a prestigious Canada Research Chair in Health Informatics at the University of Ontario Institute of Technology.

She has been awarded over $14 million in research, consultancy and infrastructure funding and has led multiple large research programs including a multi-million dollar First of A Kind (FOAK) research program with IBM and a $3M project within the FedDev Health Ecosphere Innovation Pipeline project. She has over 180 refereed publications, 3 patent in multiple jurisdictions and has established two startup companies resulting from her research. She has extensive research collaborations in Canada, Australia, UK, USA, Russia and India. She has also been called upon to advise various government working groups in Canada. She has received many awards for her research.

In Canada, she has provided strategic consultative support to Ontario Shores Centre for Mental Health Services and Providence Care in the area of Patient Journey Modelling to support their transition to new electronic health records.

In 2008 she was awarded a multi-million dollar IBM First of a Kind Research (FOAK) Award. In 2009 she received the IBM Infosphere Innovation award for her UOIT based team’s role in project Artemis. In 2010 she was awarded the UOIT Early Career Research Excellence Award. In 2011 she was one of four international innovators featured in the IBM Centennial “Wild Ducks” video, also now available on YouTube.

She was the Inaugural Associate Dean of Research for the Faculty of Business and IT at Ontario Tech University.

In 2012 an Artificial Intelligence in Medicine paper she co-authored with a former PhD student in 2007 was recognised as the 3rd most cited article in that journal in the six years since 2007.

In 2013 her Artemis research project was awarded the Ingenious Award in the Not for Profit category by the Information Technology Association of Canada.

In 2014 she was awarded membership in the Order of Australia for her significant service to science and innovation through health care information systems. In 2015 she was awarded the Advance Global Australian award for Technology Innovation, an award for Australian diaspora. In 2016-17 she served as the Chair of the IEEE Life Sciences Technical Community internationally. In 2017 she was featured in the 150 Stories series commissioned by the Lieutenant Governor of Ontario and the Government of Canada to commemorate the 150th year anniversary of Ontario.

The precommercialisation of her Artemis platform was a flagship project of the $30 Million Health Ecosphere Innovation Pipeline project in Ontario.

In 2018 she was named as a Women Leader in Digital Health by Digital Health Canada.

In 2019 Artemis was selected as one of 5 Pathfinder projects for Ontario by the Vector Institute.

In 2020 she was appointed the Vice President Elect, Member and Student Activities of the IEEE Engineering in Medicine and Biology society. She is now serving as the Vice President, Member and Student Activities in 2021.

 

 

Published Research

  • Journal Articles

    1.    McGregor, C., 2018, “Using Constructive Research to Structure the Path to Transdisciplinary Innovation and Its Application for Precision Health with Big Data Analytics, Technology Innovation Management Review, 8(8): 7–15. http://doi.org/10.22215/timreview/1174

     2.    McGregor, C., Bonnis, B., 2017, “New Approaches for the Integration of Haptic Garments, Big Data Analytics, and Serious Games for Extreme Environments”, IEEE Consumer Electronics Magazine, 6(4) pp 92-96

     3.    Kamaleswaran R., McGregor, C., 2016, “A Review of Visual Representations of Physiologic Data”, JMIR Medical Informatics, 4(4), e31 , doi:10.2196/medinform.5186

    4.    Percival, J., McGregor, C., 2016, “An Evaluation of Understandability of Patient Journey Models in Mental Health”, JMIR Human Factors, JMIR Publications Inc., Toronto, Canada, 3(2), e20

     5.    Khazaei, H., McGregor, C., Eklund, J.M., El-Khatib, K., 2015, “Real-time and Retrospective Health Analytics as a Service”, JMIR Medical Informatics, 3(4), e36

     6.    Khazaei, H., Mench-Bressan, N., McGregor, C., Pugh, J.E., 2015, “Health Informatics for Neonatal Intensive Care Units: an Analytical Modeling Perspective”, IEEE Journal of Translational Engineering in Health and Medicine, 3, pp 1-9

    7.    Kamaleswaran, R., Wehbe, R.R., Pugh, J.E., Nacke, L., McGregor, C., James, A.G., 2015 “Collaborative Multi-Touch Clinical Handover System for the Neonatal Intensive Care Unit”, Electronic Journal of Health Informatics (eJHI), Vol 9(1):e5, 12 pages

     8.    Hayes, G., Khazaei, H., El-Khatib, K., McGregor, C., and Eklund J.M.  Eklund, “Design and Analytical Model of a Platform-as-a-Service Cloud for Healthcare”, Journal of Internet Technology, Jan 2015, 16(1), pp 139-150, http://jit.ndhu.edu.tw/jitcontent2.php?getserial=1153&Vol2=16&No2=1

     9.    Percival, J., McGregor, C., Percival, N., James, A., (2015), “Enabling the integration of clinical event and physiological data for real-time and retrospective analysis”, Information Systems and e-Business Management, 13.4, pp 693-711, DOI 10.1007/s10257-014-0232-9.

     10.  McGregor, 2014, “Riding the Medical Technology Wave to Empower your Career in Medicine”, University of Toronto Medical Journal, 92(1), pp 5-6, http://utmj.org/ojs/index.php/UTMJ/article/view/1641

     11.  McGregor, C., 2013, “Big Data in Neonatal Intensive Care”, IEEE Computer, 46(6): 54-9, 10.1109/MC.2013.157, http://ieeexplore.ieee.org/document/6513228/

     12.  Nizami S, Green JR, McGregor C., (2013), “Implementation of Artifact Detection in Critical Care: A Methodological Review”, IEEE Reviews in Biomedical Engineering, 6:127–42

     13.  McGregor, C., Steadman, A., Percival, J., James, A., 2013, “Modeling Health Informatics Capacity for Neonatal Intensive Care Patient Journeys Supported by Interprofessional Teams”, International Journal of Biomedical Engineering and Technology (IJBET), 11(3), 301-17

    14.  Catley, C., Smith, K., McGregor, C., James, A., & Eklund, J. M. (2011). “A Framework for Multidimensional Real-Time Data Analysis: A Case Study for the Detection of Apnoea of Prematurity”. International Journal of Computational Models and Algorithms in Medicine (IJCMAM), 2(1), 16-37. doi:10.4018/jcmam.2011010102

    15.  Andrew J.E. Seely, Stuart A. Kauffman, Jason H.T. Bates, Peter T. Macklem, Béla Suki, John C. Marshall, Andriy I. Batchinsky, Jose Luis Perez-Velazquez, Adam Seiver, Carolyn McGregor, Geoffrey Maksym, Markad V. Kamath, Thomas Similowski, Timothy G. Buchman, Christophe Letellier, Marcel Filoche, Martin G. Frasch, Christian Straus, Leon Glass, Paul J. Godin, et al. (2011), “Proceedings from the Montebello Round Table Discussion. Second annual conference on Complexity and Variability discusses research that brings innovation to the bedside”, Journal of Critical Care 26 (3) p. 325-327

     16.  Blount, M., Ebling, M., Eklund, J.M., James, A.G., McGregor, C., Percival N., Smith, K., Sow, D., (2010), “Real -Time Analysis for Intensive Care: Development and Deployment of the Artemis Analytic System”, IEEE Engineering in Medicine & Biology Magazine, 29 (2), pp 110-118

     17.  MacDougall, C., McGregor, C., Percival, J., (2010), “The Fusion of Clinical Guidelines with Technology: Trends & Challenges”, Electronic Journal of Health Informatics, 5(2): e14, pp 1-10

     18.  McGregor, C, & Eklund, JM, (2010), “Next generation remote critical care through service-oriented architectures: Challenges and Opportunities”, Journal of Service Oriented Computing and Applications, 4 (1), pp 33-43

     19.  Seely, A. J. E., Macklem, P. T., Béla Suki, Ary Goldberger, Paul Godin, Andriy I. Batchinsky, Andre Longtin, Gwynne Jones, Adam Seiver, Carolyn McGregor, Patrick Norris, Geoffrey Maksym, Douglas Lake, Madalena Damasio Costa, John C. Marshall, John A. Morris, J. Randall Moorman, Ryan C. Arnold, Jose Luis Perez-Velazquez, Vera Nenadovic (2010), “The Wakefield roundtable discussion on complexity and variability at the bedside”, Journal of Critical Care 25 (3) p. 536-537

     20.   McGregor, C., Maeder, A., (2009), “eHealth and Services Computing in Healthcare”, Journal of Theoretical and Applied Electronic Commerce Research, 4(2), i-ii

    21.  Percival J., Catley C., McGregor C., James A., (2009), “A Design for Modelling the Impact of Information and Communication Technologies on Information Flows in Neonatal Intensive Care Units”, special volume of Studies in Computational Intelligence, (Springer) on Intelligent Patient Management, S. McClean et al. (Eds.), Springer-Verlag Berlin Heidelberg 2009, pp147-169

    22.  J. Mikael Eklund and Carolyn McGregor. 2009. Standards for physiological data transmission and archiving for the support of the service of critical care. SIGBED Rev. 6, 2, Article 9 (July 2009), 6 pages. DOI:https://doi.org/10.1145/ 1859823.1859832 presented at The 2nd Joint Workshop On High Confidence Medical Devices, Software, and Systems (HCMDSS) and Medical Device Plug-and-Play (MD PnP) Interoperability, San Francisco

    23.  Stacey, M and McGregor, C., (2007), “Survey Paper: Temporal Abstraction in Intelligent Clinical Data Analysis”, Artificial Intelligence in Medicine, vol. 39, no. 1, pp 1-24, ** See Paper Awards **

    24.  McGregor, C., Kneale, B., & Tracy, M., (2007), “On-Demand Virtual Neonatal Intensive Care Units Supporting Rural, Remote and Urban Healthcare with Bush Babies Broadband”, Journal of Network and Computer Applications, vol. 30, no 4, pp 1309-1323, ISSN 1084-8045, ISI Web of Knowledge Impact Factor 1.071 (2006)

    25.  McGregor, C. (2007), “A Framework for the Design of Web Service Based Clinical Management Systems to support Inter and Intra Organizational Patient Journeys”, International Journal of Healthcare Information Systems and Informatics, vol. 2, no. 2, pp 21-35, ISSN 1555 3396

    26.  Foster, D., McGregor, C., (2006), “Design of an Agent Server for Neonatal Analysis and Trend Detection” International Transactions on Systems Science and Applications, vol. 1, no. 1, pp 27-34, ISSN 1751-1461 (print), 1751-147X (CD-ROM)

    27.  McGregor, C., Schiefer, J., zur Muehlen, M., (2006), “A Shareable Web Service Based IDSS Infrastructure for On-Demand Business Process Management”, International Journal of Business Process Integration and Management (IJBPIM), vol. 1, no. 3, pp 156-174,  ISSN 1741-8763 (print), 1741-8771 (online)

    28.  McGregor C., and Schiefer, J., (2004) “A Web Service based Framework for Analysing and Measuring Business Performance”, Information Systems and e-Business Management Journal, vol. 2, no. 1, pp 89-110, ISSN 1617-9846

  • Medical Journal Abstracts
    1. Qi, Zhou, Christina Catley, Carolyn McGregor, Andrew James, and Cao Yun. "Earlier detection of late onset neonatal sepsis using temporal analysis of continuous physiological data streams in a Chinese neonatal intensive care unit.", Pan-Yangtze River Delta in 2015 Compilation of Papers of Annual Conference of Obstetrics and Perinatal Medicine of Zhejiang Province 2015 年泛长三角围产医学学术年会暨浙江省围产医学学术年会论文汇编 (2015).
    2. Edward Pugh, Anirudh Thommandram, Carolyn McGregor, Mikael Eklund, Andrew James, (2013), “Classifying neonatal spells using real-time temporal analysis of physiological data streams-verification tests”, Journal of Critical Care, 28(6), e40–e41
    3. Bressan, N, James, A., Lecce, L., McGregor, C., (2013), “Cardiorespiratory Physiological Data as an Indicator of Fentanyl Pharmacokinetics and Pharmacodynamics in Critically Ill Newborn Infants: A Case Report” ”, 12th International Conference on Complexity and Acute Illness (ICCAI), Budapest, Hungary, pp16-17
    4. Pugh E, Thommandram A, Ng E, McGregor C, Eklund JM, Narang  I, Belik J, James A, (2013), “Classifying Neonatal Spells Using Real-Time Temporal Analysis of Physiological Data Streams – Algorithm Development.”, Journal of Critical Care, 28 (1) p. e9
    5. Naik, T., Bressan, N., James, A., McGregor, C., (2013), “Design of temporal analysis for a novel premature infant pain profile using Artemis”, Journal of Critical Care, 28 (1) p. e4
    6. Choi, Y., Bressan, N., James, A., Pugh, E., McGregor, C., (2013), “Design of temporal analysis of neonatal vagal spells at different gestational ages using the Artemis' framework”, Journal of Critical Care, 28 (1) p. e4-5
    7. McGregor, C., Catley, C., Padbury, J., James, A., (2013), “Late onset neonatal sepsis detection in newborn infants via multiple physiological streams”, Journal of Critical Care, 28 (1) p. e11-12
    8. Bressan N, McGregor C, Blount M, Ebling M, Sow D, James A., (2012), “Identification of Noxious Events for Newborn Infants with a Neural Network”, Archives of Disease in Childhood. volume 97:A458, supplement 2, abstract number 1618
    9. McGregor, C., (2011), “Methodologies for implementing clinical applications of complexity at the bedside”, Journal of Critical Care 26 (3) p. e18
    10. Sow, D., McGregor C., (2011), “Synergies of the complexity continuum and the stream computing paradigm”, Journal of Critical Care 26 (3) p. e29-e30
    11. McGregor, C., (2010), Methodologies and applications of continuous variability analysis, Journal of Critical Care 25 (3) p. e6 25 (3) p. e6
  • Book Chapters
    1. Cibis, T. and McGregor C., 2021, “The Physiological and Psychological Environment in Humans”, in Engineering and Medicine in Extreme Environments, Springer, in press
    2. McGregor, C., and Cibis, T., 2021, “Frameworks and Platforms for Extreme Environments Adaptation and Resilience Monitoring”, in Engineering and Medicine in Extreme Environments, Springer, in press
    3. Prysyazhnyuk, A., McGregor, C., 2021, “Space as an Extreme Environment”, in Engineering and Medicine in Extreme Environments, Springer, in press
    4. Prysyazhnyuk, A., McGregor, C., 2021, “Space as an Extreme Environment – Technical Considerations”, in Engineering and Medicine in Extreme Environments, Springer, in press
    5. Bonnis, B., McGregor, C., 2021, “Paramilitary and Military Tactical Operations as an Extreme Environment”, in Engineering and Medicine in Extreme Environments, Springer, in press
    6. McGregor, C., Bonnis, B., 2021, “Engineering and Information Technology for Paramilitary and Military Tactical Personnel”, in Engineering and Medicine in Extreme Environments, Springer, in press
    7. Williams-Bell, F, M., McGregor, C., 2021, “Firefighter Personnel and their Activities in Extreme Environments”, in Engineering and Medicine in Extreme Environments, Springer, in press
    8. Novakovic, A., Marshall, A.H., McGregor, C., 2020, “Introducing a Conceptual Framework for Architecting Healthcare 4.0 Systems”, in Transactions on Computational Science & Computational Intelligence (Advances in Computer Vision and Computational Biology), Springer Nature – Book Series, in press
    9. McGregor, C., 2018, “Big Data in Critical Care Using Artemis”, in Signal Processing and Machine Learning for Biomedical Big Data, CRC Press, pp 519-531
    10. Hayes, G.,El-Khatib, K., & McGregor, C. (2014). “Supporting Health Informatics with Platform-as-a-Service Cloud Computing”,  In Advanced Technologies, Embedded and Multimedia for Human-centric Computing (pp. 1149-1158). Springer Netherlands.
    11. Cirelli J,Graydon B, McGregor C, James A. “Analysis of Continuous Oxygen Saturation Data for Accurate Representation of Retinal Exposure to Oxygen in the Preterm Infant”, Courtney K, Shabestari O, Kuo A, editors. Enabling Health and Healthcare Through ICT. Vancouver: IOS Press; 2013. p. 126–31.
    12. Johnson, K., McGregor, C., Percival, J., “Decision Support and Data Analytics”, Fundamentals of HIM 2ndEdition, April, 2013
    13. McGregor, C., (2009), “A Framework for the Design of Web Service Based Clinical Management Systems to Support Inter and Intra Organizational Patient Journeys,   Medical Informatics: Concepts, Methodologies, Tools and Applications,  Hershey, PA: IGI Global, Chapter 2.6.
    14. McGregor, C., (2009), “Mobility in Healthcare for Remote Intensive Care Unit Clinical Management" Medical Informatics: Concepts, Methodologies, Tools and Applications, Hershey, PA: Global, Chapter 3.3
    15. McGregor, C., (2006), “Mobility in Healthcare for Remote Intensive Care Unit Clinical Management”. In B. Unhelkar (Ed.), Handbook of Research in Mobile Business: Technical, Methodological and Social Perspective. Hershey, PA, UWA: IDEA Group Publishing, pp83-95, ISBN 1-59140-817-2
    16. McGregor, C., (2002), “The Impact of Business Performance Monitoring on WfMC Standards”, Workflow Handbook 2002, Future Strategies Inc, Lighthouse Point, FL, pp51-64, ISBN 0-9703509-2-9
  • Conference Papers
    1. Inibhunu, C., McGregor, C., 2021, “Privacy Preserving Framework for Big Data Management in Smart Buildings”, IEEE PERCOM Workshop on Security, Privacy, and Trust in the Internet of Things (SPT-IoT), Kassal, Germany, in press
    2. Inibhunu, C., McGregor, C., 2020, “Edge Computing with Big Data Cloud Architecture: A Case Study in Smart Building”, 2020 IEEE International Conference on Big Data: Workshop on IoT based Big Data Architectures and Applications, virtual, in press
    3. Inibhunu, C., McGregor, C., 2020, “'A Privacy Preserving Framework for Smart Cities Utilising IoT, Smart Buildings and Big Data”, 18thIEEE International Conference on Smart City, Virtual, Dec, in press
    4. Prysyazhnyuk, A., McGregor, C., 2020, “A Wholistic Approach to Assessement of Adaptation And Resilience During Spaceflight”, 71stInternational Astronautical Congress, CyberEdition, October.
    5. Glass, J, McGregor, C., 2020, “Towards Player Health Analytics in Overwatch”, IEEE 8th International Conference on Serious Games and Applications for Health (SeGAH), Vancouver, Canada pp 1-5
    6. McGregor, C.,Inibhunu, C., Glass, J., Doyle, I, Gates, A., Madill, J., Pugh, E.J., 2020, “Health Analytics as a Service with Artemis Cloud: Service Availability”, 42nd IEEE Engineering in Medicine and Biology conference, Montreal, Canada, pp 5644-5648
    7. Bastwadkar, M., McGregor, C., Balaji, S., 2020, “A Cloud Based Big Data Health Analytics-as-a-Service Framework to Support Low Resource Setting Neonatal Intensive Care Unit”, 4thInternational Conference on Medical and Health Informatics (ICMHI 2020), Kamakura City, Japan, pp 30-36
    8. Inibhunu, C., McGregor, C., 2020, “Identification of Temporal Changes on Patients at Risk of LONS with TPRMine: A Case Study in NICU”, 33rdInternational Symposium on Computer-based Medical Systems (CBMS 2020), pp 33-36
    9. Inibhunu, C., McGregor, C., 2020, “Application of TPRMine method for Identification of Temporal Changes on Patients with COPD: A Case Study in Telehealth”, 33rdInternational Symposium on Computer-based Medical Systems (CBMS 2020), pp 383-386
    10. Yeung, J., McGregor, C., 2019, “Analyzing Countermeasure Effectiveness Utilizing Big Data Analytics For Space Medicine Decision Support: A Case Study”, 70thInternational Astronautical Congress, Washington DC, USA, October.
    11. Prysyazhnyuk, A., Chernikova, A., McGregor, C., 2019, “A Sliding Window Real-Time Processing Approach For Analysis Of Heart Rate Variability During Spaceflight”, 70thInternational Astronautical Congress, Washington DC, USA, October.
    12. Inibhunu, C., Jalali, R., Doyle, I, Gates, A., Madill, J., McGregor, C., 2019, “Adaptive API for Real-Time Streaming Analytics as a Service”, 41stIEEE Engineering in Medicine and Biology conference, Berlin, Germany, pp3472-7
    13. McGregor, C., 2019, “Autonomous Health Monitoring for Long Range Space Missions”, 41stIEEE Engineering in Medicine and Biology conference, Berlin, Germany
    14. Bonnis, B., McGregor, C., 2019, “Tactical Operations As an Extreme Environment”, 41stIEEE Engineering in Medicine and Biology conference, Berlin, Germany
    15. Majola, P. X., McGregor, C., 2019, “Opportunities for a Cloud Based Health Analytics as a Service for Eastern Cape Initiation Schools in South Africa”, 32ndInternational Symposium on Computer-based Medical Systems (CBMS 2019), Cordoba, Spain, pp531-534
    16. Prysyazhnyuk, A., McGregor, C., 2018, “Investigation of Adaptation Mechanisms During Five-Day Dry Immersion Utilizing Big-Data Analytics”, 2ndIEEE Life Sciences Conference, Montreal, Canada, pp247-250
    17. Inibhunu, C., McGregor, C., 2018, “State Based Hidden Markov Models for Temporal Pattern Discovery in Critical Care”, 2ndIEEE Life Sciences Conference, Montreal, Canada, pp77-80
    18. Yeung, J., McGregor, C., 2018, “Countermeasure Data Integration Within Autonomous Space Medicine: an Extension to Artemis in Space”, 2ndIEEE Life Sciences Conference, Montreal, Canada, pp 251-254
    19. Vyas, K., McGregor, C., 2018, “The Use of Heart Rate for the Assessment of Firefighter Resilience: a Literature Review”, 2ndIEEE Life Sciences Conference, Montreal, Canada, pp 259-262
    20. Prysyazhnyuk, A., McGregor, C., 2018, “Spatio-Temporal Visualization Of Big Data Analytics During Spaceflight”, 69th International Astronautical Congress, Bremen, Germany, 1 – 5 October 2018
    21. Inibhunu, C., McGregor, C., 2018, “Fusing Dimension Reduction and Classification for Mining Interesting Frequent Patterns in Patients Data”, In: Machine Learning and Data Mining in Pattern Recognition. MLDM 2018, Perner P. (eds), Lecture Notes in Computer Science, vol 10935. Springer, Cham, pp 1-15
    22. Groulx, A., McGregor, C., 2018, “A Social Media Tax Data Warehouse to Manage the Underground Economy”, 4thIEEE International Conference On Data Science and Systems, 28-30 Jun, Exeter, UK, pp 1601-8
    23. Inibhunu, C.,Schauer, A., Redwood, Jr., O., Clifford, P. and McGregor, C., 2017, “The impact of Gender, Medical History and Vital Status on Emergency Visits and Hospital Admissions: A Remote Patient Monitoring Case Study”, IEEE 1st Life Science Conference, Sydney, Australia, 13-15 Dec, 4 pages ** Awarded Best Paper **
    24. Inibhunu, C., Schauer, A., Redwood, Jr., O., Clifford, P. and McGregor, C., 2017, “Predicting Hospital Admissions and Emergency Room Visits using Remote Home Monitoring Data”, IEEE 1stLife Science Conference, Sydney, Australia, 13-15 Dec, 4 pages
    25. Naik, T.,McGregor, C., James, A., 2017, “Automated Partial Premature Infant Pain Profile Scoring Using Big Data Analytics”, IEEE 1st Life Science Conference, Sydney, Australia, 13-15 Dec, 4 pages
    26. Fernando, K.E.S., McGregor, C., James, A., 2017, “CRISP-TDM0 for Standardized Knowledge Discovery from Physiological Data Streams: Retinopathy of Prematurity and Blood Oxygen Saturation Case Study”, IEEE 1stLife Science Conference, Sydney, Australia, 13-15 Dec, 4 pages
    27. Prysyazhnyuk, A., McGregor, C., Baevsky, R., Chernikova, A., Luchitskaya, E., Rusanov, V., 2017, “Big Data Analytics for Enhanced Clinical Decision Support Systems during Spaceflight”, IEEE 1stLife Science Conference, Sydney, Australia, 13-15 Dec, 4 pages
    28. Inibhunu, C., McGregor, C., 2017, “Towards Temporal Pattern Discovery aided by Remote Patient Monitoring Services: A case Study on ER Visits Factors”, Women in Machine Learning, in press
    29. Orlov, O., McGregor, C., Baevsky, R., Chernikova, A., Zhmurchak, A., Rusanov, V., “Perspective Use of the Technologies for Big Data Analysis in Manned Space Flights on the International Space Station”, 68th International Astronautical Congress (IAC 2017), Adelaide, Australia, 25-29 September 2017.
    30. Choi, Y., McGregor, C., 2017, “A Flexible Parental Engaged Consent Model for the Secondary Use of Their Infant’s Physiological Data in the Neonatal Intensive Care Context”, IEEE International Conference on Healthcare Informatics 2017 (ICHI 2017),pp 502-507
    31. Balaji, S., Patil, M.,McGregor, C., 2017 “A Cloud based Big Data Based Online Health Analytics for Rural NICUs and PICUs in India: Opportunities and Challenges”, 30th International Symposium on Computer-based Medical Systems (CBMS 2017), pp 385-390
    32. McGregor, C., Bonnis, B., “Integrating Big Data Analytics, Virtual Reality, and ARAIG to Support Resilience Assessment and Development in Tactical Training”, 5th International Conference on Serious Games and Applications for Health, (IEEE SeGAH 2017), Perth, 7 pages
    33. McGregor, C., Orlov, O., Baevsky, R., Chernikova, A., V. Rusanov, “Big Data Analytics for Continuous Assessment of Astronaut Health Risk and Its Application to Human-in-the-Loop (HITL) Related Aerospace Missions”, AIAA SciTech Conference, Grapevine, Texas, Jan 2017, 7 pages
    34. Izaddoost, A., McGregor, C., 2016, “Enhance Network Communications in a Cloud-based Real-time Health Analytics platform Using SDN”, IEEE International Conference on Healthcare Informatics 2016 (ICHI 2016), pp 388-391
    35. Kamaleswaran, R., McGregor, C., 2016, “CoRAD: Visual Analytics for Cohort Analysis”, IEEE International Conference on Healthcare Informatics 2016 (ICHI 2016), pp 517-526
    36. McGregor, C., Bonnis, B., Stanfield, B., Stanfield, M., 2016, “Design of the ARAIG Haptic Garment for Enhanced Resilience Assessment and Development in Tactical Training Serious Games”, 6thIEEE International Conference on Consumer Electronics – Berlin, pp 217-220
    37. McGregor, C., and Bonnis, B., 2016, “Big Data analytics for Resilience Assessment and Development in Tactical Training Serious Games”, 29thInternational Symposium on Computer-based Medical Systems (CBMS 2016), p 158-162, http://ieeexplore.ieee.org/document/7545976/
    38. Kamaleswaran, R., McGregor, C., Collins, C., 2016, “PhysioEx: Visual Analysis of Physiological Event Streams”, Eurographics Conference on Visualization (EuroVis) 2016, Groningen, the Netherlands, 35 (3), pp 1-10
    39. Jalali, R.,Dauda, A., El-Khatib, K., McGregor, C. and Surti, C., 2016, “An architecture for health data collection using off-the-shelf health sensors”, 2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA),  1-6
    40. Inibhunu, C. and McGregor, C., 2016, “Machine learning model for temporal pattern recognition”, 2016 IEEE EMBS International Student Conference (ISC),  1-4
    41. Popov, A., Fink, W., McGregor, C., Hess, A., 2016, “PHM for Astronauts: Elaborating and Refining the Concept” IEEE Aerospace 2016, Big Sky, Montana, 1-9, http://ieeexplore.ieee.org/abstract/document/7500930/
    42. McGregor, C., Heath, J. and Choi, Y., 2015, “Streaming Physiological Data: General Public Perceptions of Secondary Use and Application to Research in Neonatal Intensive Care”, The 15th World Congress on Medical and Health Informatics (MedInfo, 2015), Sao Paulo, Brazil, pp453-7.
    43. McGregor, C., Bonnis, B., Stanfield, B., Stanfield, M., 2015, “A Method for Real-time Stimulation and Response Monitoring using Big Data and its Application to Tactical Training”, 28thInternational Symposium on Computer-based Medical Systems (CBMS 2015), Sao Carlos, Brazil, pp 169-70
    44. McGregor, C., 2015, “A Framework for Online Health Analytics for Advanced Prognostics and Health Management of Astronauts”, IEEE Aerospace, 7 pages
    45. Jalali, R.,El-Khatib, K., McGregor, C., (2015), “Smart City Architecture for Community Level Services Through the Internet of Things”, 18thInternational Conference on Intelligence in Next Generation Networks, Paris, pp 108-13
    46. Greer, R., Olivier, C., Pugh, J. E.,Eklund, J.M., McGregor, C., 2014, “Remote, Real-Time Monitoring and Analysis of Vital Signs of Neonatal Graduate Infants”, 36th Annual International Conference of the IEEE  EMBS, Chicago, USA, pp 1382-5
    47. Bressan, N.,McGregor, C., Smith, K., Lecce, L., James, A., 2014, “Heart rate variability as an indicator for morphine pharmacokinetics and pharmacodynamics in critically ill newborn infants”, 36th Annual International Conference of the IEEE EMBS, Chicago, USA, 2014, pp 5719-22
    48. Shafiq, H.,McGregor, C., Murphy, B., 2014 “The Impact of Cervical Manipulation on Heart Rate Variability”, 36th Annual International Conference of the IEEE EMBS, Chicago, USA, 2014, pp 3406-9
    49. Thommandram, A.,Eklund, M., McGregor, C., Pugh, E., James, A. (2014), “A Rule-Based Temporal Analysis Method for Online Health Analytics and its Application for Real-Time Detection of Neonatal Spells”, IEEE international Congress on BigData (BigData 2014), Alaska, pp 470-7.1109/BigData.Congress.2014.74, http://ieeexplore.ieee.org/document/6906817/
    50. Khazaei, H., McGregor, C., Eklund, J.M., El-Khatib, K. and Thommandram, A., 2014, “Toward a Big Data Healthcare Analytics System: a Mathematical Modeling Perspective”, IEEE 10thWorld Congress on Services, Alaska, pp 208-15
    51. Naik, T., Thommandram, A., Fernando, S., Bressan, N.,James, A., McGregor, C., (2014), “A method for a real-time novel premature infant pain profile using high rate, high volume physiological data streams”, 27thInternational Symposium on Computer-based Medical Systems (CBMS 2014), New York, USA, pp. 34-37.
    52. Kamaleswaran, R., McGregor, C. (2014). “A Real-Time Multi-Dimensional Visualization Framework For Critical And Complex Environments”, 27thInternational Symposium on Computer-based Medical Systems (CBMS 2014), New York, USA,  325-328.
    53. Eklund, J.M., Fontana, N., Pugh, E.,McGregor, C., Yielder, P., James, A., Keyzers, M., Hahn, C., McNamara, P. (2014). “Automated Sleep-Wake Detection in Neonates from Cerebral Function Monitor Signals”, 27th International Symposium on Computer-based Medical Systems (CBMS 2014), New York, USA,  22-27.
    54. Wang, L.X., Eklund, J.M., McGregor, C. (2014). “Parametric Power Spectrum Analysis of ECG Signals for Obstructive Sleep Apnoea Classification”, 27thInternational Symposium on Computer-based Medical Systems (CBMS 2014), New York, USA,  8-13.
    55. Huang, W.,McGregor, C., James, A. (2014). “A Comprehensive Framework Design for Continuous Quality Improvement within the Neonatal Intensive Care Unit: Integration of the SPOE, CRISP-DM and PaJMa Models”,  IEEE-EMBS International Conferences on Biomedical and Health Informatics, Valencia, Spain, 289-292.
    56. Eklund, J.M., McGregor, C., (2014), “Real-time Online Health Analytics for Interplanetary Space Missions”, IEEE Aerospace, 10 pages
    57. McGregor,  C., James, A., Eklund, J.M., Sow, D., Ebling, M., Blount, M., (2013), “Real-time Multidimensional Temporal Analysis of Complex High Volume Physiological Data Streams in the Neonatal Intensive Care Unit”, The 14th World Congress on Medical and Health Informatics (MedInfo, 2013), Copenhagen, p 362-6
    58. Kamaleswaran, R., Thommandram, A., Zhou, Q.,Eklund, J.M., Cao, Y., Wang, W.P. and McGregor, C., (2013), “Cloud Framework for Real-time Synchronous Physiological Streams to Support Rural and Remote Critical Care”, IEEE Computer Based Medical Systems (IEEE CBMS), Porto, Portugal, pp.473-6.
    59. Bressan, N.,James, A., McGregor, C., (2013), Integration of Drug Dosing Data with Physiological Data Streams using a Cloud Computing Paradigm, 35th Annual International Conference of the IEEE EMBS, Osaka, Japan,  pp 4175–8.
    60. Thommandram A.,Eklund, J.M., McGregor, C., (2013), Detection of Apnoea from Respiratory Time Series Data Using Clinically Recognizable Features and Knn Classification,  35th Annual International Conference of the IEEE EMBS. Osaka, Japan, pp 5013–6., http://ieeexplore.ieee.org/document/6610674/, 1109/EMBC.2013.6610674
    61. McGregor, C., 2013, “A Platform for Real-time Online Health Analytics during Spaceflight”, IEEE Aerospace, CDROM, 8 pages
    62. Kamaleswaran, R., Thommandram, A., Qi Z., Eklund, J.M., Cao, Y., Wang, W.P., McGregor, C., 2013, “Cloud Framework for Real-time Synchronous Physiological Streams to Support Rural and Remote Critical Care”, 26th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2013), Porto, Portugal, pp. 473-6
    63. Garg, S., Kinney, S., Monagle, P., Sow, D.M., McGregor, C., Reumann, M., 2013, “Stream computing in a children’s intensive care unit: Enabling investigation of age dependent predictors for pro-active intervention”, Big Data in biomedicine and healthcare conference, Melbourne, Australia, April, in press
    64. Thommandram A, Pugh JE,Eklund JM, McGregor C, James AG. Classifying Neonatal Spells Using Real-Time Temporal Analysis of Physiological Data Streams : Algorithm Development. In: 2013 IEEE Point-of-Care Healthcare Technologies (PHT), Bangalore, India: 2013, p. 240–3. http://ieeexplore.ieee.org/document/6461329

    10.1109/PHT.2013.6461329

    1. Steadman, A.,McGregor C., Percival, J., James, A., (2012), “Using PaJMa to Enable Comparative Assessment of Health Care Processes within Canadian Neonatal Intensive Care Units”, Advances in Health Informatics Conference (AHIC 2012), CDROM 7 pages, c
    2. Bressan,  N.,, A., McGregor, C., 2012, “Physiological Data Stream Analytics to Evaluate Noxious Stimuli in theNewborn Infant”, 23rd Meeting of the European Society for Computing and Technology in Anaesthesia and Intensive Care (ESTAIC 2012), Timisoara, Romania, pp17-18
    3. McGregor, C., Catley,, James, (2012), “Variability Analysis with Analytics Applied to Physiological Data Streams from the Neonatal Intensive Care Unit”, 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2012),Rome, Italy, CDROM 5 pages
    4. Kamaleswaran, R., McGregor, C., (2012), “Integrating Complex Business Processes for Knowledge-driven Clinical Decision Support Systems”, 34th Annual International Conference of the IEEE EMBS,San Diego, California USA, pp 1306-9
    5. Percival, J., McGregor, C., James, A., (2012), “Real-Time Integration Of Clinical Interventions And Physiological Data Streams: A Case Study”, INFORMS 2012 Data Mining and Health Informatics (DM-HI) Workshop, Pheonix, Arizona, CDROM, 4 pages
    6. Huang, W.,McGregor, C., (2012), “The International Current State of Patient Journey Modeling and Process Improvement”, Advances in Health Informatics Conference (AHIC 2012), CDROM 6 pages
    7. Kamaleswaran, R.,McGregor, (2012), “CBPsp: Complex Business Processes for Stream Processing”, 25th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), CDROM 4 pages
    8. O’Reilly, R.D.,Morrison, J.P., McGregor, C., (2012), “A system for the transmission, processing and visualisation of EEG to support Irish Neonatal Intensive Care Units”, 25th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) , CDROM 5 pages
    9. Bressan, N.,James, A., McGregor, C., (2012), “Trends and Opportunities for Integrated Real Time Neonatal Clinical Decision Support”, proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2012), Hong Kong and Shenzhen, China, pp 687-90
    10. Kamaleswaran, R.,McGregor, C., James, A., (2012), “A Novel Framework for Event Stream Processing of Clinical Practice Guidelines”, proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2012), Hong Kong and Shenzhen, China, pp 933-6
    11. McGregor, C., Steadman, A., Percival, J., James., A., (2012) “A Method for Modeling Health Informatics Capacity in Patient Journeys Supported by Interprofessional Teams”, 2012, proceedings of the 45thHawaii International Conference on Systems Sciences, HICSS’45, Maui, Hawaii, pp  2790-99
    12. McGregor, C., 2011, “A Cloud Computing Framework for Real-time Rural and Remote Service of Critical Care”, IEEE Computer Based Medical Systems, Bristol, UK, 6 pages CDROM
    13. McGregor, C., Catley, C., James, A., Padbury, J., 2011, “Next Generation Neonatal Health Informatics with Artemis”, Medical Informatics Europe, Oslo, Norway, pp 115-119
    14. McGregor, C., Catley, C., James, (2011) “A Process Mining Driven Framework for Clinical Guideline Improvement in Critical Care”, Learning from Medical Data Streams 13thConference on Artificial Intelligence in Medicine (LEMEDS), pp 35-46
    15. Nizami, S., Green, J., McGregor, C., (2011), “Service oriented architecture to support real-time implementation of artifact detection in critical care monitoring”, 33rd Annual International Conference of the IEEE EMBS,Boston, Massachusetts, USA, pp 4925-8
    16. Eklund, J. M., Catley, C., McGregor, C., James, A., (2011), “Detection Of Apnoea In Newborn Infants Using Impedance Respiratory Wave Data”, IASTED International Conference on Imaging and Signal Processing in Healthcare and Technology (ISPHT 2011), Washington, pp 90-94
    17. Bjering,McGregor, C., (2010), “A Multidimensional Temporal Abstractive Data Mining Framework”, Australasian Workshop On Health Informatics and Knowledge Mgmt, pp 29-38 c
    18. Percival, J., McGregor, C., Percival, N., Kamaleswaran, R., Tuuha, S., (2010), “A Framework for Nursing Documentation enabling Integration with EHR and Real-time Patient Monitoring”, 23rdIEEE International Symposium on Computer-Based Medical Systems, 468-73
    19. Catley, C., Smith, K.,McGregor C., James, A., Eklund, J.M., (2010), “A Framework to Model and Translate Clinical Rules to Support Complex Real-time Analysis of Physiological and Clinical Data”, 1st ACM International Health Informatics Symposium, 307-15
    20. Blount, M., McGregor, C., James, A., Sow, D., Kamaleswaran, R., Tuuha, S., Percival, J., Percival, N. (2010), “On the Integration of an Artifact System and a Real-Time Healthcare Analytics System”, 1stACM International Health Informatics Symposium, 647-655
    21. Nizami, S, Green, J., Eklund, J. M., McGregor, C., (2010), “Heart Disease Classification through HRV analysis using Parallel Cascade Identification and Fast Orthogonal Search”, IEEE International Workshop on Medical Measurements and Applications (MeMeA), pp 134-9
    22. Kamaleswaran, R., McGregor, C., Eklund, M., (2010) “A Method for Clinical and Physiological Event Stream Processing”, 32ndInternational IEEE Engineering in Medicine and Biology Society Conference, Buenos Aires, Argentina, pp 1170-3
    23. Goldie, J.,McGregor, C., Murphy, B., (2010) “Determining Levels of Arousal using Electrocardiography: A study of HRV during Transcranial Magnetic Stimulation”, 32nd International IEEE Engineering in Medicine and Biology Society Conference, Buenos Aires, Argentina, pp 1198-1201
    24. Heath, J.,McGregor, C., (2010), “CRISP-DM0 : A method to extend CRISP-DM to support null hypothesis driven confirmatory data mining”, Advances in Health Informatics Conference, May, pp 96-101
    25. Joshi, A., McGregor, C. And Percival, J., (2010), “The use of technology to support the patient’s journey: a pilot study in Indian Neonatal Intensive Care Units”, Advances in Health Informatics Conference, May, pp 34-39
    26. McGregor, C., Sow, D., James, A., Blount, M., Ebling, M., Eklund, JM., Smith, K., (2009), “Collaborative Research on an Intensive Care Decision Support System utilizing Physiological Data Streams”, Fall 09 Symposium of the American Medical Informatics Association (AMIA), pp 1124-6
    27. McGregor, C., Smith, K. and Eklund, M., (2009), “A Survey of Recent Physiological Monitoring and Transmission to Support the Service of Critical Care, 22ndIEEE International Symposium on Computer-Based Medical Systems, (CBMS2009), 7 pages
    28. Catley, C., Smith, K.,McGregor, C and Tracy, M., (2009), “Extending CRISP-DM to Incorporate Temporal Data Mining of Multi-dimensional Medical Data Streams: A Neonatal Intensive Care Unit Case Study”, 22nd IEEE International Symposium on Computer-Based Medical Systems, (CBMS2009), 5 pages
    29. MacDougall, C., Percival, J. and McGregor, C., (2009) “Integrating Health Information Technology into Clinical Guidelines”, 31stInternational IEEE Engineering in Medicine and Biology Society Conference, Minneapolis, MN, pp 4646-9
    30. Kamaleswaran, R., McGregor, C., Percival, J., (2009) “Service Oriented Architecture for the integration of clinical and physiological data for real-time event processing”, 31stInternational IEEE Engineering in Medicine and Biology Society Conference, Minneapolis, MN, pp 1667-70
    31. McGregor, C., & Smith, K.,(2009), “A Survey of Physiological Monitoring Data Models to support the Service of Critical Care”, Second IEEE Int. Workshop On Real-Time Service-Oriented Architecture and Applications (RTSOAA 2009), in association with 2009 33rd Annual IEEE International Computer Software and Applications Conference (COMPSAC 09), Seattle, pp 104-9.
    32. McGregor, C, & Eklund, JM, 2008, “Real-time Service Oriented Architecture to Support Remote Critical Care: Trends and Challenges”, First IEEE Int.Workshop On Real-Time Service-Oriented Architecture and Applications (RTSOAA 2008), Finland, July, 08, 1199-1204
    33. Catley, C, Stratti, H& McGregor, C, 2008, Multi-Dimensional Temporal Abstraction and Data Mining of Medical Time Series Data: Trends and Challenges, 30th International IEEE Engineering in Medicine and Biology Society Conference, 4322-5
    34. Catley, C, McGregor, C, Percival J, Curry, JM, James, A, 2008, Multi-dimensional Knowledge Translation: Enabling Health Informatics Capacity Audits Using Patient Journey Models. 30thInternational IEEE Engineering in Medicine and Biology Society Conference, 1502-5
    35. McGregor, C, Percival, J, Curry, JM, Foster D, Anstey, E, Churchill, D, 2008, A Structured Approach to Requirements Gathering Creation Using PaJMa Models. 30th International IEEE Engineering in Medicine and Biology Society Conference, 1506-9
    36. Eklund, JM, McGregor, C, & Smith, KP, 2008, A Method for Physiological Data Transmission to Support the Service of Critical Care Using DICOM and HL7. 30thInternational IEEE Engineering in Medicine and Biology Society Conference, 1486-9
    37. McGregor, C., Smith, K. P& Percival J, Women in Biomedical Engineering and Health Informatics and its impact on Gender Representation for Accepted Publications at IEEE EMBC 2007. Submitted to 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC08), 2881-4
    38. McGregor, C., Kneale, B. (2007), “Simulated Neonatal Intensive Care Units To Support Neonatologist International Mobility”, IASTED TeleHealth, Montreal, Canada, pp 124-129
    39. Stacey, M., McGregor, C., Tracy, M., (2007), “An architecture for multi-dimensional temporal abstraction and its application to support neonatal intensive care”, 29thAnnual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC07), Lyon, France, pp 3752-3756
    40. McGregor, C., Stacey, M, (2007), “High Frequency Distributed Data Stream Event Correlation to Improve Neonatal Clinical Management”, Inaugural International Conference on Distributed Event-Based Systems (DEBS 07), Toronto, Canada, CD-ROM, 6 pages
    41. Curry, J., McGregor, C., Tracy, S., (2007), “A Systems Development Lifecycle Approach to Patient Journey Modelling Projects”, MedInfo, Brisbane, Australia,905-909
    42. McGregor, C. and Morris B.,(2006), “A Survey of Recent Research to Support Remote Neonatal Intensive Care via Mobile Devices”, Proceedings of the 2nd International Conference on Information Management and Business (IMB 2006), Sydney, Australia, ISBN 1 74108 122 X, pp 422-428
    43. Curry, J.,McGregor, C., Tracy, S., (2006), “A Communication Tool to Improve the Patient Journey Modeling Process”, The 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC06), New York, August 30 – September, 3, pp 4726-4730
    44. Foster, D., McGregor, C., (2006), “Design of an Agent Server for Neonatal Analysis and Trend Detection” Proceedings of the 2ndInternational Workshop on Multi-Agent Systems for Medicine, Computational Biology and Bioinformatics (MAS*BIOMED) in association with the 5th International Joint conference on Autonomous Agents and Multi-Agent Systems (AAMAS 06), Hakodate, Japan, May 8-12, pp 47-59
    45. Curry, J., McGregor, C., Tracy, S., (2006), “Incorporating Balanced Scorecards into the Patient Journey Modelling Process”, Health Informatics Conference, Sydney, Australia, CDROM, 7 pages
    46. , C., Kneale, B., & Tracy, M., (2005)., “Bush Babies Broadband: On-Demand Virtual Neonatal Intensive Care Unit Support for Regional Australia”, Proceedings of the 3rd International Conference on Information Technology and Applications (ICITA), Sydney, Australia, IEEE, ISBN 0-7695-2316-1, pp 113-117, Acceptance Rate: ~26%
    47. McGregor, C., Heath, J., & Wei, M. (2005), “A Web Service Based Framework for the Transmission of Physiological Data for Local and Remote Neonatal Intensive Care”,Proceedings of the IEEE International Conference on e-Technology, e-Commerce and e-Service, Hong Kong, IEEE pp 496-501, Acceptance Rate: ~25% (Cited by 12)
    48. Curry, J., McGregor, C., Tracy, S., (2005), “Deficiencies of Process Reengineering in its Support for Healthcare Redesign”, Innovation Conference, Penrith, Australia, 19-20, ISBN 1 74108 083 5 awarded best paper in Computing and IT track
    49. Foster, D., McGregor, C., El-Masri, S., (2005), “A Survey of Agent-Based Intelligent Decision Support Systems to Support Clinical Management and Research” Proceedings of the Workshop on Multi-Agent Systems for Medicine, Computational Biology and Bioinformatics (MAS*BIOMED) in association with the 4thInternational Joint conference on Autonomous Agents and Multi-Agent Systems (AAMAS 05), Utrecht, Netherlands, pp 16-34
    50. , C., Purdy, M., & Kneale, B. (2005), “Compression of XML Physiological Data Streams to Support Neonatal Intensive Care Unit Web Services”, Proceedings of the IEEE International Conference on e-Technology, e-Commerce and e-Service, Hong Kong, IEEE pp 486-489
    51. McGregor, C., (2005), “e-Baby Web Services to Support Local and Remote Neonatal Intensive Care”, Health Informatics Conference, Melbourne, Australia, 6 pages, CD-ROM, ISBN 0 9751013 5 8
    52. Foster, D., McGregor, C., (2005), “Overview of an Agent-Based IDSS Framework for Neonatal Analysis and Trend Detection”, Health Informatics Conference, Melbourne, Australia, 5 pages, CDROM, ISBN 0 9751013 5 8
    53. Heath, J.,McGregor, C., Smoleniec, J., (2005), “DataBabes: A Case Study in Feto-Maternal Clinical Data Mining”, Health Informatics Conference, Melbourne, Australia, 6 pages, CDROM, ISBN 0 9751013 5 8
    54. Curry, J., McGregor, C., (2005), “The Current State of Patient Journey Redesign in Australia”, Health Informatics Conference, Melbourne, Australia, 9 pages CDROM, ISBN 0 9751013 5 8
    55. Foster, D, McGregor, C., Tracy, M., (2005), “e-Baby: Supporting Clinical Research in NICUs”, Innovation Conference, Penrith, Australia, pp 9-10, ISBN 1 74108 083 5
    56. Stacy, M., McGregor, C., Tracy, M., (2005), “Knowledge Based Temporal Abstraction Within The Neonatal Intensive Care Domain”, Innovation Conference, Penrith, Australia, pp 35-36 ISBN 1 74108 083 5
    57. Schiefer, J., McGregor, C., (2004) “Correlating Events for Monitoring Business Processes”, proceedings of the 2004 International Conference on Enterprise Information Systems, ICEIS 2004, Portugal, CDROM, 8 pages, Acceptance Rate: ~14%
    58. Foster, D., McGregor, C., (2004), “Intelligent Decision Support Systems For Medical Trend Detection”, 2004 UWS CSTE Innovation Conference, Penrith, Australia, 2 pages
    59. Heath, J, McGregor, C., (2004), “Research Issues in Intelligent Decision Support”, 2004 UWS CSTE Innovation Conference, Penrith, Australia, 3 pages
    60. McGregor C., and Schiefer, J., (2003) “A Framework for Analysing and Measuring Business Performance with Web Services”, Proceedings of the 2003 IEEE Conference on E-Commerce, CEC'03, Newport Beach, CA, pp 405-412, ISBN 0-7695-1969-5
    61. McGregor C., (2003b) “A Method to extend BPEL4WS to enable Business Performance Measurement”, Proceedings of the 1stInternational Conference on Web Services, ICWS’03, Las Vegas, pp 46-51, ISBN 1-892512-49-1
    62. McGregor C., (2003a) “Balanced Scorecard Driven Business Process Definition Using XML”, Proceedings of the 36thHawaii International Conference on Systems Sciences, HICSS’36, Hawaii, CDROM, 8 pages, ISBN 0-7695-1875-5, IEEE, nominated for best paper
    63. McGregor, C. and Kumaran S., (2002b), "Business Process Monitoring Using Web Services in B2B Commerce", Proceedings of the 2nd International Workshop on Internet Computing and E-Commerce(ICEC'02), April 2002, Fort Lauderdale, USA, CDROM, 8 pages, ISSN 1530-2075, IEEE
    64. McGregor, C. and Kumaran S., (2002a), "An Agent-Based System for Trading Partner Management in B2B Commerce", Proceedings of the 12th International Workshop on Research Issues on Data Engineering (RIDE-2EC'2002), February 2002, San Jose, USA, pp 84-89, ISSN 1066-1395, IEEE
    65. McGregor C., Bryan, G.M., Curry, J. & Tracy M., (2002) “The e-Baby Data Warehouse: A Case Study”, Proceedings of the 35thHawaii International Conference on Systems Sciences, HICSS’35, Hawaii, CDROM, 7 pages, ISBN 0-7695-1435-9, IEEE
    66. Bryan, G.M., Holdsworth, D., Sharply, R., Curry, J & McGregor C., (2002) “Using XML to facilitate information management across multiple Local Government Agencies”, Proceedings of the 35thHawaii International Conference on Systems Sciences, HICSS’35, Hawaii, CDROM, 10 pages, ISBN 0-7695-1435-9
    67. , C., 2000, “Intelligent Workflow Monitoring Systems”, Proceedings of Doctoral Consortium of the Australian Conference of Information Systems, December, 2000, Brisbane, Australia
  • Abstracts
    1. McGregor, C., Williams-Bell, F. M., Bonnis, B., 2019, “Extreme Climate Pre-deployment Acclimation Resilience Assessment Using Climate Chambers and Big Data”, 10th Annual Military and Veteran Health Research Forum, Ottawa, Canada, p87
    2. Williams-Bell, F. M., McGregor, C., Bonnis, B., 2019, “Heart Rate responses of Pre-Service Firefighters during Simulated Cold Environment Activities”, 10th Annual Military and Veteran Health Research Forum, Ottawa, Canada, pp 41-42
    3. McGregor, C., Williams-Bell, F. M., Bonnis, B., 2018, “Using Streaming Big Data for Resilience Assessment within Pre-service Firefighter Extreme Condition Training”, 9th Annual Military and Veteran Health Research Forum, Regina, Canada
    4. Slomov, A. V., Baevsky, R. M., Rukavishnikov, I. ., Amirova, L. ., McGregor, C., Zhmurchak, A., & Bersenev, E. Y. 2017, “Analysis of Body Posture Changing, Painfulness, Regulation of the Heart and Breath during night Sleep in Experiment with a 5-Day Dry Immersion”, 9th International Symposium on Neurocardiology (NEUROCARD 2017). Belgrade, Serbia
    5. McGregor, C., Baevsky, R., Chernikova, A., Rusanov, V., 2017 “Preparation of Space Experiments Using Big Data Analytics for Continuous Assessment of Astronaut Health Risk”, XVI Conference on Space Biology and Medicine, Moscow, Russia.
    6. Fernando, K.E.S., C. McGregor, C., James, A.G., 2016, “Correlation of Retinopathy of Prematurity and Blood Oxygen Saturation in Neonates using Temporal Data Mining: A Pilot Study”, 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Orlando, USA.
    7. Inibhunu, C., McGregor, C., 2016, “Dimension Reduction and Similarity Measures for Temporal Pattern Recognition in Critical Care”, 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Orlando, USA.
    8. McGregor, C., Bonnis, B., Stanfield, B., Stanfield, M., 2016, “Integrating Virtual Reality, Big Data Analytics and Tactile Garments for New Resilience Assessment and Development Approaches”, ISTSS-CIMVHR meeting, Traumatic Stress Research: Enabling Bedside Implementation, May 9 – 10, Toronto,
    9. McGregor, C., Bonnis, B., Stanfield, B., Stanfield, M., 2015, “Using Big Data for Virtual Reality Tactical Training Analytics to Support Resilience Assessment and Development”, Military Health System Research Symposium, Fort Lauderdale, USA
    10. McGregor, C., Bonnis, B., Stanfield, B., Stanfield, M., 2014, “Athena: A Big Data Platform for Real-time Stimulation and Response Monitoring and its Application to Tactical Training”, 5th Annual Military and Veteran Health Research Forum, Toronto, Canada
    11. Saarinen, A., McGregor, C., 2014, “Can a little red beam of light save newborn lives? ”, 2ndGet Health Summit, Dublin, Ireland
    12. Bressan, N., McGregor, C., James, A., 2014, “Cardiorespiratory physiological data as an indicator of morphine pharmacokinetics and pharmacodynamics in critically ill newborn infants”. American Medical Informatics Association (AMIA) 2014 Annual Symposium, Washington, USA, 2014.
    13. Pugh, J., Keir, A, McGregor, C., James, A., 2013, “The Impact of Routine Blood Transfusion on Heart Rate Variability in Premature Infants”, AMIA 2013 Annual Symposium, Washington, Nov
    14. Percival, J., McCabe, M., McGregor, C., 2012, “Integrating Information Systems into PaJMa to Support the Integration of e-Health Systems”, INFORMS 2012, Pheonix, Arizona
    15. Percival, J., McGregor, C., 2011, “Extending The Patient Journey Modeling Architecture (PaJMa) Framework To Integrate E-Health Systems”, INFORMS Healthcare 2011
    16. Taylor, R., Percival, J., McGregor, C., 2011, “Comparison Of Data Collection Techniques And Their Effectiveness For Process Improvement In Healthcare”, INFORMS Healthcare 2011
    17. Smoleniec, J., Heath, S., Heath, J., & McGregor, C. (2005) “DataBabes: A Case Study in Fetal-mat