The use of machine learning on administrative and survey data to predict suicidal thoughts and behaviors: a systematic review
Nibene H. Somé,
Pardis Noormohammadpour,
Shannon Lange
Abstract:BackgroundMachine learning is a promising tool in the area of suicide prevention due to its ability to combine the effects of multiple risk factors and complex interactions. The power of machine learning has led to an influx of studies on suicide prediction, as well as a few recent reviews. Our study distinguished between data sources and reported the most important predictors of suicide outcomes identified in the literature.ObjectiveOur study aimed to identify studies that applied machine learning techniques … Show more
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