Predicting future suicidal behaviour with different machine learning techniques: a population-based longitudinal study

Cautions, concerns, and future directions for using machine learning in relation to mental health problems and clinical and forensic risks: A brief comment on “Model complexity improves the prediction of nonsuicidal self-injury” (Fox et al., 2019).

“…We are also aware of a forthcoming study that compared five different ML techniques to predict suicide ideation and attempts over one year using twenty different psychological constructs and found that unregulated multivariate logistic regression performed as well as ML (Van Mens et al, 2019). Clearly, further research is needed to clarify whether and under what conditions ML does or does not outperform other statistical approaches.…”