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Machine Learning for Earlier Diagnosis of Schizophrenia

JAMA+ AI Conversations

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Challenges in Predictive Models for Schizophrenia

This chapter explores the complexities of implementing a predictive model for diagnosing schizophrenia, focusing on the issues of low positive predictive value and the risk of clinician over-interpretation. It advocates for dynamic predictive models that evolve with patient conditions and highlights the importance of integrating clinical notes and routine data for earlier and more accurate diagnosis.

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