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Machine learning paves the way toward the prevention of mental health crises

Experiencing a mental health crisis has a detrimental impact on a patient’s life. A machine learning algorithm trained retrospectively with electronic health records can predict almost 60% of mental health crises 4 weeks in advance. Prospective evaluation of the algorithm in clinical practice reveals its potential to enable preemptive interventions.

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Fig. 1: Study overview.


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This is a summary of: Garriga, R. et al. Machine learning model to predict mental health crises from electronic health records. Nat. Med. (2022).

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Machine learning paves the way toward the prevention of mental health crises. Nat Med 28, 1135–1136 (2022).

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