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Machine learning algorithms for suicide risk:a premature arms race?

机译:自杀风险的机器学习算法:过早的军备竞赛?

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INTRODUCTION Machine learning(ML)techniques1 are becoming a major area of study in psychiatry,as ML possesses the theoretical capacity to draw conclusions based on a broad range of data once the system has been taught through a process of trial and error.Specifically,and arguably most importantly,ML can do so more quickly and accurately than clinicians.2 Several studies have demonstrated accuracy through the use of ML in various populations and geographic locations,further perpetuating the perceived need to incorporate ML into ongoing studies.
机译:引言机器学习(ML)技术1正在成为精神病学的主要研究领域,因为ML拥有基于各种数据的基于广泛的数据得出结论,通过试验和错误的过程教导。特殊地,以及可以说是最重要的是,ML可以比临床医生更快速和准确地进行多次研究通过在各种群体和地理位置中使用ML来证明准确性,进一步延续了将ML掺入持续研究的情况。

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