The CTML Spring Seminar Series kicks off on Wednesday, January 21, with a talk by CTML GSR Andy Kim: “Predicting Loss to Follow-Up Under Resource Constraints: Leveraging Registry-Linked Mobile Health Data in Trauma Care.” Join us at 12:00 PM in Berkeley Way West, 5th Floor, Room 5401.
Abstract: Traumatic injury remains a leading cause of morbidity and mortality in sub-Saharan Africa, with a substantial proportion of adverse outcomes occurring after hospital discharge due to missed follow-up care. Leveraging linked-data from the Cameroon Trauma Registry (CTR) and Mobile Health (mHealth) follow-up system, I use predictive ensemble super learning methods to construct risk scores for loss to follow-up and evaluate models using recall-based metrics most relevant under resource constraints (i.e. who to prioritize calling given limited funding, staff, etc.). By framing loss to follow-up as a prioritization problem rather than a classification task, this work highlights how context-driven choices of loss functions and performance metrics shape predictive modeling strategies in applied settings.