Predicting diagnostic progression to schizophrenia or bipolar disorder via machine learning

JAMA Psychiatry

2025-02-19

(Press-News.org) About The Study: The findings of this study suggest that it is possible to predict diagnostic transition to schizophrenia and bipolar disorder from routine clinical data extracted from electronic health records, with schizophrenia being notably easier to predict than bipolar disorder.

Corresponding Author: To contact the corresponding author, Lasse Hansen, MSc, PhD, email lasse.hansen@clin.au.dk.

To access the embargoed study: Visit our For The Media website at this link https://media.jamanetwork.com/

(10.1001/jamapsychiatry.2024.4702)

Editor’s Note: Please see the article for additional information, including other authors, author contributions and affiliations, conflict of interest and financial disclosures, and funding and support.

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Predicting diagnostic progression to schizophrenia or bipolar disorder via machine learning

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