Patrice C. Roy

About Me

patrice_roy

I am currently a postdoctoral fellow at the NICHE Research Group at Dalhousie University. Previously, I was a postdoctoral fellow (2011-2013) at the BFO team, ICube Laboratory at University of Strasbourg. My PhD dissertation, defended in 2011, was on an activity recognition approach based the possibility theory and description logic. The PhD was carried out at the DOMUS Laboratory at Université de Sherbrooke.

Research Interests

My main research interests include:

  • Ambient intelligence and Context awareness
  • Knowledge representation and Semantic Web
  • Health informatics and Cognitive assistance

Currently, I am doing research on knowledge-driven activity recognition and health informatics.

Publications


Activity Recognition Alzheimer Ambient assisted living Ambient Intelligence Ambient sensors Chronic Disease Management Chronic disease self-management Clinical Decision Support Systems Clustering Data Mining Description Logic dimensionality reduction Imprecise Probability Indoor Localization knee biomechanics Lattice Theory Machine Learning medication adherence Mobile Health Multi-Agent System Optic Nerve phenotypes Possibility theory Self-Management Self-Organizing Maps Self-Organizing Networks Semantic Web Semantic Web reasoning Smart Homes Total knee arthroplasty

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2018

Syed S.R. Abidi; Patrice C. Roy; Muhammad S. Shah; Jin Yu; Sanjun Yan

A data mining framework for glaucoma decision support based on optic nerve image analysis using machine learning methods Journal Article

In: Journal of Healthcare Informatics Research, vol. 2, no. 4, pp. 370-401, 2018.

Links | BibTeX | Tags: Classification, Clustering, Data Mining, Decision Support Systems, Optic Nerve