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

BackgroundMachine 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. Objecti...

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Bibliographic Details
Main Authors: Anthony Kelly, Esben Kjems Jensen, Eoin Martino Grua, Kim Mathiasen, Pepijn Van de Ven
Format: Article
Language:English
Published: JMIR Publications 2025-03-01
Series:JMIR Medical Informatics
Online Access:https://medinform.jmir.org/2025/1/e64617
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