Using machine learning to model older adult inpatient trajectories from electronic health records data
Publication: ScienceDirect
Maria Herrero-Zazo, Tomas Fitzgerald, Vince Taylor, Helen Street, Afzal N. Chaudhry, John R. Bradley, Ewan Birney, Victoria L. Keevil
20 January 2023
- Time-series blood test & vital sign data from older inpatients were presented to HMM (Hidden Markov Models)
- Hidden clinically interpretable states were extracted, linked with diagnoses and death
- States modeled inpatient trajectories, differentiating risk from admission-discharge
- The clinical interpretation of HMM states helped explain how ML models organise data