Community Health Sciences - University of Manitoba
Hassan’s research will focus on developing models that combine multiple sources of error-prone data, such as those found at the Manitoba Centre for Health Policy (MCHP), for accurately measuring chronic health conditions and outcomes at the population level, to improve the quality of care and reduce the associated costs. The primary research question is: What factors affect the accuracy and precision of rule-based approaches, statistical model-based approaches, and machine-learning model-based approaches to develop algorithms for identifying individuals with chronic health conditions in electronic health data?