Chibuike Uwakwe

An Interpretable Workflow for Cohort Phenotyping Using Longitudinal Wearable Data.

This work introduces an interpretable workflow for cohort-level phenotyping that leverages longitudinal timestamped wearable metrics, clinically relevant risk strata, and unsupervised machine learning methods to improve transparency and cross-study comparability, supports clinically interpretable subgroup discovery, an...