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

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