An Interpretable Model With Probabilistic Integrated Scoring for Mental Health Treatment Prediction: Design Study.

Journal: JMIR medical informatics
PMID: 40138679

Abstract

BACKGROUND: Machine learning (ML) systems in health care have the potential to enhance decision-making but often fail to address critical issues such as prediction explainability, confidence, and robustness in a context-based and easily interpretable manner.

Authors

  • Anthony Kelly
    Dept Electronic and Computer Engineering, University of Limerick, Limerick, Ireland.
  • Esben Kjems Jensen
    Center for Digital Psykiatri, Forskningsenhed, Denmark.
  • Eoin Martino Grua
    Department of Electronic and Computer Engineering, University of Limerick, Limerick, Ireland.
  • Kim Mathiasen
    Department of Psychology and Behavioural Sciences, Aarhus University, Aarhus, Denmark.
  • Pepijn van de Ven
    Dept Electronic and Computer Engineering, University of Limerick, Limerick, Ireland.

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