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
收藏
页码：1135 / 1136
页数：2
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