Drug Burden Index Is a Modifiable Predictor of 30-Day Hospitalization in Community-Dwelling Older Adults With Complex Care Needs: Machine Learning Analysis of InterRAI Data.

Journal: The journals of gerontology. Series A, Biological sciences and medical sciences
Published Date: Aug 1, 2024

Abstract

BACKGROUND: Older adults (≥65 years) account for a disproportionately high proportion of hospitalization and in-hospital mortality, some of which may be avoidable. Although machine learning (ML) models have already been built and validated for predicting hospitalization and mortality, there remains a significant need to optimize ML models further. Accurately predicting hospitalization may tremendously affect the clinical care of older adults as preventative measures can be implemented to improve clinical outcomes for the patient.

Authors

  • Robert T Olender
    Department of Life Sciences, University of Bath, Bath, BA2 7AY, UK. rto20@bath.ac.uk.
  • Sandipan Roy
    Department of Mechanical Engineering, SRM Institute of Science and Technology, Chennai, India.
  • Hamish A Jamieson
    Department of Medicine, University of Otago, Christchurch, New Zealand.
  • Sarah N Hilmer
    Faculty of Medicine and Health, Kolling Institute, Northern Clinical School, The University of Sydney and Northern Sydney Local Health District, St Leonards, New South Wales, Australia.
  • Prasad S Nishtala
    Department of Life Sciences & Centre for Therapeutic Innovation, University of Bath, Bath, BA2 7AY, UK.

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