Machine learning algorithms and their predictive accuracy for suicide and self-harm: Systematic review and meta-analysis
- DOI
- 10.1371/journal.pmed.1004581
- Published
- 2025-09-11
- Container
- PLOS Medicine
- Publisher
- Public Library of Science (PLoS)
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
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 = {Matthew J. Spittal and Xianglin Aneta Guo and Laurant Kang and Olivia J. Kirtley and Angela Clapperton and Keith Hawton and Nav Kapur and Jane Pirkis and Greg Carter},
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 - Matthew J. Spittal AU - Xianglin Aneta Guo AU - Laurant Kang AU - Olivia J. Kirtley AU - Angela Clapperton AU - Keith Hawton AU - Nav Kapur AU - Jane Pirkis AU - Greg Carter PY - 2025 JO - PLOS Medicine DO - 10.1371/journal.pmed.1004581 UR - https://doi.org/10.1371/journal.pmed.1004581 ER -
APA
Spittal, M. J., Guo, X. A., Kang, L., Kirtley, O. J., Clapperton, A., Hawton, K., Kapur, N., Pirkis, J., & Carter, G. (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
- crossref · retrieved 2026-09-25T15:10:45.319Z