Machine learning-based outcome prediction and novel hypotheses generation for substance use disorder treatment.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date: Jun 12, 2021

Abstract

OBJECTIVE: Substance use disorder is a critical public health issue. Discovering the synergies among factors impacting treatment program success can help governments and treatment facilities develop effective policies. In this work, we propose a novel data analytics approach using machine learning models to discover interaction effects that might be neglected by traditional hypothesis-generating approaches.

Authors

  • Murtaza Nasir
    Finance, Real Estate, & Decision Science Department, Barton School of Business, Wichita State University, Wichita, KS 67260, USA.
  • Nichalin S Summerfield
    Operations & Information Systems Department, Manning School of Business, University of Massachusetts Lowell, Lowell, MA 01854, USA.
  • Asil Oztekin
    Operations & Information Systems Department, Manning School of Business, University of Massachusetts Lowell, Lowell, MA 01854, USA.
  • Margaret Knight
    Susan and Alan Solomont School of Nursing, Zuckerberg College of Health Sciences, University of Massachusetts Lowell, Lowell, Massachusetts, USA.
  • Leland K Ackerson
    Department of Public Health, Zuckerberg College of Health Sciences, University of Massachusetts Lowell, Lowell, Massachusetts, USA.
  • Stephanie Carreiro
    Department of Emergency Medicine, University of Massachusetts Medical School & UMass Memorial Healthcare, Worcester, MA 01655, USA.

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