Raising awareness of potential biases in medical machine learning: Experience from a Datathon.
- DOI
- 10.1371/journal.pdig.0000932
- Published
- 2025 Jul
- Container
- PLOS digital health
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- 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.
- supportingOpen access status: Normalized open-access status: open.
- 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.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1371/journal.pdig.0000932,
title = {Raising awareness of potential biases in medical machine learning: Experience from a Datathon.},
author = {Hochheiser H and Klug J and Mathie T and Pollard TJ and Raffa JD and Ballard SL and Conrad EA and Edakalavan S and Joseph A and Alnomasy N and Nutman S and Hill V and Kapoor S and Claudio EP and Kravchenko OV and Li R and Nourelahi M and Diaz J and Taylor WM and Rooney SR and Woeltje M and Celi LA and Horvat CM},
year = {2025},
journal = {PLOS digital health},
doi = {10.1371/journal.pdig.0000932},
url = {https://doi.org/10.1371/journal.pdig.0000932}
}RIS
TY - JOUR TI - Raising awareness of potential biases in medical machine learning: Experience from a Datathon. AU - Hochheiser H AU - Klug J AU - Mathie T AU - Pollard TJ AU - Raffa JD AU - Ballard SL AU - Conrad EA AU - Edakalavan S AU - Joseph A AU - Alnomasy N AU - Nutman S AU - Hill V AU - Kapoor S AU - Claudio EP AU - Kravchenko OV AU - Li R AU - Nourelahi M AU - Diaz J AU - Taylor WM AU - Rooney SR AU - Woeltje M AU - Celi LA AU - Horvat CM PY - 2025 JO - PLOS digital health DO - 10.1371/journal.pdig.0000932 UR - https://doi.org/10.1371/journal.pdig.0000932 ER -
APA
H, H., J, K., T, M., TJ, P., JD, R., SL, B., EA, C., S, E., A, J., N, A., S, N., V, H., S, K., EP, C., OV, K., R, L., M, N., J, D., WM, T., SR, R., M, W., LA, C., & CM, H. (2025). Raising awareness of potential biases in medical machine learning: Experience from a Datathon.. PLOS digital health. https://doi.org/10.1371/journal.pdig.0000932
Source records
- pubmed · retrieved 2026-09-25T11:25:03.955Z