Predicting Therapy Success and Costs for Personalized Treatment Recommendations Using Baseline Characteristics: Data-Driven Analysis.

Journal: Journal of medical Internet research
PMID: 30131318

Abstract

BACKGROUND: Different treatment alternatives exist for psychological disorders. Both clinical and cost effectiveness of treatment are crucial aspects for policy makers, therapists, and patients and thus play major roles for healthcare decision-making. At the start of an intervention, it is often not clear which specific individuals benefit most from a particular intervention alternative or how costs will be distributed on an individual patient level.

Authors

  • Vincent Bremer
    Institute of Information Systems, Leuphana University, Lüneburg, Germany.
  • Dennis Becker
    Institute of Information Systems, Leuphana University, Lüneburg, Germany.
  • Spyros Kolovos
    Department of Clinical, Neuro- & Developmental Psychology, Vrije University, Amsterdam, Netherlands.
  • Burkhardt Funk
    Institute of Information Systems, Leuphana University, Lüneburg, Germany.
  • Ward van Breda
    Department of Computer Science, Vrije University, Amsterdam, Netherlands.
  • Mark Hoogendoorn
    Vrije Universiteit Amsterdam, Department of Computer Science, De Boelelaan 1081, Amsterdam 1081 HV, The Netherlands.
  • Heleen Riper
    Vrije Universiteit Amsterdam, Department of Clinical Psychology, De Boelelaan 1081, Amsterdam 1081 HV, The Netherlands.

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