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) - Siddaway AP, Quinlivan L, Kapur N, O'Connor RC, De Beurs D.

Machine learning (ML) is an increasingly popular approach/technique for analyzing "Big Data" and predicting risk behaviors and psychological problems. However, few published critiques of ML as an approach currently exist. We discuss some fundamental cautio...

Source: SafetyLit - March 9, 2020 Category: International Medicine & Public Health Tags: Research Methods, Surveillance and Codes, Models Source Type: news