Machine learning model to predict mental health crises from electronic health records

HIGHLIGHTS

• who: Roger Garriga from the Department University of have published the research work: Machine learning model to predict mental health crises from electronic health records, in the Journal: (JOURNAL) of 25/02/2021
• what: The general model significantly outperformed the two baseline models that the predicted risk reflected the actual expected risk of experiencing a crisis episode39 and obtained a Brier score40 of 0.028 (95% CI 0.028-0.029). The general model demonstrated a more substantial net benefit in the decision curve analysis41 than the baseline models and default strategies (Extended Data Fig . . .
  

   

  

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