Article

Bayesian Networks with Interpretable Summary Indexes for Modeling Clinicians’ Decision-Making in Treatment Recommendation for Mental Disorders

2025-10-23

Abstract excerpt

<p>Bayesian Networks provide a principled framework for developing tailored treatment recommendations by estimating conditional probabilities for diagnosis and treatment response from individual patient profiles. As new information becomes available, these probabilities update dynamically, enabling personalized clinical decision-making. However, applying Bayesian Networks to psychological data is challenging becau...

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Literature Corpus work: 66e452aa-aefc-5b9a-8d12-1ba237c42435
DOI: 10.31234/osf.io/wfn5b_v1

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