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

被引：0

作者：

Garriga, Roger ^{[1
]}

Matic, Aleksandar ^{[1
]}

机构：

[1] Koa Hlth, Barcelona, Spain

来源：

NATURE MEDICINE | 2022年 / 28卷 / 06期

关键词：

D O I：

10.1038/s41591-022-01820-4

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

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.

引用

页码：1135 / 1136

页数：2

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