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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.

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Neonatology

At present, the Artemis platform is deployed in the following hospitals:

McMaster Children's Hospital (Hamilton, ON)
Southlake Regional Hospital (New Market, ON)
Belgaum Children's Hospital (Belgaum, India)

Prior project partners include: 

Women and Infants Hospital of Rhose Island (Providence, RI)
Children's Hospital of Fudan University (Shanghai, China)
The Hospital for Sick Children (SickKids) (Toronto, ON)

Late Onset Neonatal Sepsis

 

 

 

Apnoea of Prematurity

 

 

 

Anemia of Prematurity

 

 

 

Retinopathy of Prematurity

 

 

 

Partners

Industry

    

          

                       

Funding

 

Publications

  • Refereed 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
  • Refereed 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. Kamaleswaran R., McGregor, C., 2016, “A Review of Visual Representations of Physiologic Data”, JMIR Medical Informatics, 4(4), e31 , doi:10.2196/medinform.5186
    3. 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 Medicine3, pp 1-9
    4. 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
    5. 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
    6. 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.
    7. 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
    8. 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/
    9. 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
    10. 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
    11. 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
    12. 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
    13. 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
    14. MacDougall, C., McGregor, C., Percival, J., (2010), “The Fusion of Clinical Guidelines with Technology: Trends & Challenges”, Electronic Journal of Health Informatics5(2): e14, pp 1-10
    15. 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
    16. 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
    17. 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
    18. 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)
  • Refereed Book Chapters
    1. 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
    2. 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
    3. 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.
    4. 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.
    5. 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
  • Refereed Conference Papers
    1. 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
    2. 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”, 4th International Conference on Medical and Health Informatics (ICMHI 2020), Kamakura City, Japan, pp 30-36
    3. Inibhunu, C., McGregor, C., 2020, “Identification of Temporal Changes on Patients at Risk of LONS with TPRMine: A Case Study in NICU”, 33rd International Symposium on Computer-based Medical Systems (CBMS 2020), pp 33-36
    4. Inibhunu, C., McGregor, C., 2020, “Application of TPRMine method for Identification of Temporal Changes on Patients with COPD: A Case Study in Telehealth”, 33rd International Symposium on Computer-based Medical Systems (CBMS 2020)pp 383-386
    5. Inibhunu, C., Jalali, R., Doyle, I, Gates, A., Madill, J., McGregor, C., 2019, “Adaptive API for Real-Time Streaming Analytics as a Service”, 41st IEEE Engineering in Medicine and Biology conference, Berlin, Germany, pp3472-7
    6. Inibhunu, C., McGregor, C., 2018, “State Based Hidden Markov Models for Temporal Pattern Discovery in Critical Care”, 2nd IEEE Life Sciences Conference, Montreal, Canada, pp77-80
    7. 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
    8. 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
    9. 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 1st Life Science Conference, Sydney, Australia, 13-15 Dec, 4 pages
    10. 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
    11. 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
    12. 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
    13. Kamaleswaran, R., McGregor, C., 2016, “CoRAD: Visual Analytics for Cohort Analysis”, IEEE International Conference on Healthcare Informatics 2016 (ICHI 2016), pp 517-526
    14. 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
    15. Inibhunu, C. and McGregor, C., 2016, “Machine learning model for temporal pattern recognition”, 2016 IEEE EMBS International Student Conference (ISC), pp. 1-4
    16. 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.
    17. 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
    18. 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
    19. 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 470-7.10.1109/BigData.Congress.2014.74, http://ieeexplore.ieee.org/document/6906817/
    20. 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 10th World Congress on Services, Alaska, pp 208-15
    21. 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”, 27th International Symposium on Computer-based Medical Systems (CBMS 2014), New York, USA, pp. 34-37.
    22. Kamaleswaran, R., McGregor, C. (2014). “A Real-Time Multi-Dimensional Visualization Framework For Critical And Complex Environments”, 27th International Symposium on Computer-based Medical Systems (CBMS 2014), New York, USA, pp. 325-328.
    23. 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, pp. 22-27.
    24. Wang, L.X., Eklund, J.M., McGregor, C. (2014). “Parametric Power Spectrum Analysis of ECG Signals for Obstructive Sleep Apnoea Classification”, 27th International Symposium on Computer-based Medical Systems (CBMS 2014), New York, USA, pp. 8-13.
    25. 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.
    26. 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
    27. 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.
    28. 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.
    29. 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/6610674/10.1109/EMBC.2013.6610674
    30. 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
    31. 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
    32. 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/646132910.1109/PHT.2013.6461329
    33. 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
    34. Bressan,  N., James., A., McGregor, C., 2012, “Physiological Data Stream Analytics to Evaluate Noxious Stimuli in the Newborn Infant”, 23rd Meeting of the European Society for Computing and Technology in Anaesthesia and Intensive Care (ESTAIC 2012), Timisoara, Romania, pp17-18
    35. McGregor, C., Catley, C., 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
    36. 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
    37. 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
    38. Kamaleswaran, R., McGregor, (2012), “CBPsp: Complex Business Processes for Stream Processing”, 25th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), CDROM 4 pages
    39. 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
    40. 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
    41. 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
    42. 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 45th Hawaii International Conference on Systems Sciences, HICSS’45, Maui, Hawaii, pp  2790-99
    43. 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
    44. McGregor, C., Catley, C., James, A., Padbury, J., 2011, “Next Generation Neonatal Health Informatics with Artemis”, Medical Informatics Europe, Oslo, Norway, pp 115-119
    45. McGregor, C., Catley, C., James, (2011) “A Process Mining Driven Framework for Clinical Guideline Improvement in Critical Care”, Learning from Medical Data Streams 13th Conference on Artificial Intelligence in Medicine (LEMEDS), pp 35-46
    46. 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
    47. 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
    48. Bjering H., McGregor, C., (2010), “A Multidimensional Temporal Abstractive Data Mining Framework”, Australasian Workshop On Health Informatics and Knowledge Mgmtpp 29-38 
    49. 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”, 23rd IEEE International Symposium on Computer-Based Medical Systems, 468-73
    50. 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
    51. 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”, 1st ACM International Health Informatics Symposium, 647-655
    52. 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
    53. Kamaleswaran, R., McGregor, C., Eklund, M., (2010) “A Method for Clinical and Physiological Event Stream Processing”, 32nd International IEEE Engineering in Medicine and Biology Society Conference, Buenos Aires, Argentina, pp 1170-3
    54. 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
    55. 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
    56. 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
    57. McGregor, C., Smith, K. and Eklund, M., (2009), “A Survey of Recent Physiological Monitoring and Transmission to Support the Service of Critical Care, 22nd IEEE International Symposium on Computer-Based Medical Systems, (CBMS2009), 7 pages
    58. 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
    59. MacDougall, C., Percival, J. and McGregor, C., (2009) “Integrating Health Information Technology into Clinical Guidelines”, 31st International IEEE Engineering in Medicine and Biology Society Conference, Minneapolis, MN, pp 4646-9
    60. Kamaleswaran, R., McGregor, C., Percival, J., (2009) “Service Oriented Architecture for the integration of clinical and physiological data for real-time event processing”, 31st International IEEE Engineering in Medicine and Biology Society Conference, Minneapolis, MN, pp 1667-70
    61. 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
    62. 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
    63. 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
    64. Eklund, JM, McGregor, C, & Smith, KP, 2008, A Method for Physiological Data Transmission to Support the Service of Critical Care Using DICOM and HL7. 30th International IEEE Engineering in Medicine and Biology Society Conference, 1486-9
    65. McGregor, C., Kneale, B. (2007), “Simulated Neonatal Intensive Care Units To Support Neonatologist International Mobility”, IASTED TeleHealth, Montreal, Canada, pp 124-129
    66. Stacey, M., McGregor, C., Tracy, M., (2007), “An architecture for multi-dimensional temporal abstraction and its application to support neonatal intensive care”, 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC07), Lyon, France, pp 3752-3756
    67. 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
  • Refereed Abstract
    1. 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.
    2. 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.
    3. Saarinen, A., McGregor, C., 2014, “Can a little red beam of light save newborn lives? ”, 2nd Get Health Summit, Dublin, Ireland
    4. 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.
    5. 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