Skip to main content
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

AI & Data Mining

 

 

Case Studies Applied

 

 

 

Publications

  • Refereed Journal Articles
    1. 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 **
  • Refereed Book Chapters
    1. Johnson, K., McGregor, C., Percival, J., “Decision Support and Data Analytics”, Fundamentals of HIM 2nd Edition, April, 2013
  • Refereed Conference Papers
    1. 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
    2. 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
    3. 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
    4. 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
    5. NaikGroulx, A., McGregor, C., 2018, “A Social Media Tax Data Warehouse to Manage the Underground Economy”, 4th IEEE International Conference On Data Science and Systems, 28-30 Jun, Exeter, UK, pp 1601-8
    6. 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 **
    7. 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 1st Life Science Conference, Sydney, Australia, 13-15 Dec, 4 pages
    8. 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
    9. 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
    10. Inibhunu, C. and McGregor, C., 2016, “Machine learning model for temporal pattern recognition”, 2016 IEEE EMBS International Student Conference (ISC), pp. 1-4
    11. 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
    12. 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
    13. 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/
    14. 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
    15. 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
    16. 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
    17. Bjering H., McGregor, C., (2010), “A Multidimensional Temporal Abstractive Data Mining Framework”, Australasian Workshop On Health Informatics and Knowledge Mgmt, pp 29-38 
    18. 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
    19. 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
    20. 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
    21. 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
  • 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.