Machine learning algorithms and their predictive accuracy for suicide and self-harm: Systematic review and meta-analysis.
- DOI
- 10.1371/journal.pmed.1004581
- Published
- 2025 Sep
- Container
- PLoS medicine
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pmed.1004581,
title = {Machine learning algorithms and their predictive accuracy for suicide and self-harm: Systematic review and meta-analysis.},
author = {Spittal MJ and Guo XA and Kang L and Kirtley OJ and Clapperton A and Hawton K and Kapur N and Pirkis J and Carter G},
year = {2025},
journal = {PLoS medicine},
doi = {10.1371/journal.pmed.1004581},
url = {https://doi.org/10.1371/journal.pmed.1004581}
}RIS
TY - JOUR TI - Machine learning algorithms and their predictive accuracy for suicide and self-harm: Systematic review and meta-analysis. AU - Spittal MJ AU - Guo XA AU - Kang L AU - Kirtley OJ AU - Clapperton A AU - Hawton K AU - Kapur N AU - Pirkis J AU - Carter G PY - 2025 JO - PLoS medicine DO - 10.1371/journal.pmed.1004581 UR - https://doi.org/10.1371/journal.pmed.1004581 ER -
APA
MJ, S., XA, G., L, K., OJ, K., A, C., K, H., N, K., J, P., & G, C. (2025). Machine learning algorithms and their predictive accuracy for suicide and self-harm: Systematic review and meta-analysis.. PLoS medicine. https://doi.org/10.1371/journal.pmed.1004581
Source records
- pubmed · retrieved 2026-11-10T10:55:52.000Z