Predicting hospital readmission in patients with mental or substance use disorders: A machine learning approach.

Journal: International journal of medical informatics
Published Date: Apr 18, 2020

Abstract

OBJECTIVE: Mental or substance use disorders (M/SUD) are major contributors of disease burden with high risk for hospital readmissions. We sought to develop and evaluate a readmission model using a machine learning (ML) approach.

Authors

  • Didier Morel
    Medical Affairs, Becton, Dickinson and Co. Franklin Lakes, NJ, USA.
  • Kalvin C Yu
    Medical Affairs, Becton, Dickinson and Co. Franklin Lakes, NJ, USA.
  • Ann Liu-Ferrara
    Medical Affairs, Becton, Dickinson and Co. Franklin Lakes, NJ, USA.
  • Ambiorix J Caceres-Suriel
    Medical Affairs, Becton, Dickinson and Co. Franklin Lakes, NJ, USA.
  • Stephan G Kurtz
    Medical Affairs, Becton, Dickinson and Co. Franklin Lakes, NJ, USA.
  • Ying P Tabak
    Medical Affairs, Becton, Dickinson and Co. Franklin Lakes, NJ, USA. Electronic address: ying.tabak@bd.com.

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