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Multimorbidity

Sub-Population Identification of Multi-morbidity in Sub-Saharan African Populations

Sub-Population Identification of Multi-morbidity in Sub-Saharan African Populations

This talk explores a data science approach to identifying high-risk subpopulations for multimorbidity in sub-Saharan Africa, contrasting traditional hypothesis-driven analysis with a discovery-driven method that automatically uncovers non-obvious patterns in health data.

Sub-Population Identification of Multi-morbidity in Sub-Saharan African Populations

Sub-Population Identification of Multi-morbidity in Sub-Saharan African Populations

A discussion on refining patient questions for a study on diabetes, highlighting the contrast between simplified questions for scalable data collection and the complex, nuanced queries from long-term patients. The team explores how to test their AI-driven storytelling system with these specific, real-world scenarios to generate more grounded and relevant health narratives.