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Article

Predicting the Predictable in the Psychiatric High Risk

2025-04-16

Abstract excerpt

Most investigators in precision psychiatry force models to predict clinically meaningful but ultimately predefined outcomes in a high-risk population. We instead advocate for an alternative approach: let the data reveal which symptoms are predictable with high accuracy and then assess whether those predictable symptoms warrant early intervention. We correspondingly introduce the Sparse Canonical Outcome REgression...

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Identifiers and source

Literature Corpus work
3cfb3f34-a9a3-567f-98dd-e5b8363d3840
DOI
10.1101/2025.04.11.25325553
Open publication

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Predicting the Predictable in the Psychiatric High RiskDOI 10.1101/2025.04.11.25325553
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