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

         

摘要

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.

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