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).
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 cautions and concerns with ML that are relevant wh...
| Publicado en: | Journal of Consulting & Clinical Psychology Vol. 88; no. 4; pp. 384 - 388 |
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| Autores principales: | , , , , |
| Formato: | Artículo |
| Publicado: |
American Psychological Association
Apr2020
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |