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.

中文翻译：

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机器学习为预防心理健康危机铺平了道路

经历心理健康危机会对患者的生活产生不利影响。使用电子健康记录进行回顾性训练的机器学习算法可以提前 4 周预测近 60% 的心理健康危机。在临床实践中对该算法的前瞻性评估揭示了其实现先发制人干预的潜力。