Community Health Sciences - University of Manitoba
Nasiba’s research focuses on developing and applying machine-learning methods for detecting multimorbidity clusters and trajectories from longitudinal observational data. Multimorbidity occurs when a person has more than one chronic health condition. It is growing more common as the Canadian population ages, placing substantial burden on healthcare systems because of its association with greater service use and higher costs. In Nasiba’s research, the data features she will use to construct multimorbidity clusters include diagnoses, health problems and medication expenses. Visualization techniques will be implemented to describe the multimorbidity clusters.