Development and usability testing of a machine learning clinical decision support tool for suggesting etiologies and treatment of clinical deterioration.
- DOI
- 10.1016/j.jcrc.2026.155748
- Published
- 2026 Sep 18
- Container
- Journal of critical care
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
limited evidence Score 43/100 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.
- 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.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1016/j.jcrc.2026.155748,
title = {Development and usability testing of a machine learning clinical decision support tool for suggesting etiologies and treatment of clinical deterioration.},
author = {Nguyen OT and Wiegmann DA and Haddad J and Doerr SA and Ahmad A and Oguss M and Akel M and Wieben A and Reid J and Allan J and Edelson D and Churpek MM},
year = {2026},
journal = {Journal of critical care},
doi = {10.1016/j.jcrc.2026.155748},
url = {https://doi.org/10.1016/j.jcrc.2026.155748}
}RIS
TY - JOUR TI - Development and usability testing of a machine learning clinical decision support tool for suggesting etiologies and treatment of clinical deterioration. AU - Nguyen OT AU - Wiegmann DA AU - Haddad J AU - Doerr SA AU - Ahmad A AU - Oguss M AU - Akel M AU - Wieben A AU - Reid J AU - Allan J AU - Edelson D AU - Churpek MM PY - 2026 JO - Journal of critical care DO - 10.1016/j.jcrc.2026.155748 UR - https://doi.org/10.1016/j.jcrc.2026.155748 ER -
APA
OT, N., DA, W., J, H., SA, D., A, A., M, O., M, A., A, W., J, R., J, A., D, E., & MM, C. (2026). Development and usability testing of a machine learning clinical decision support tool for suggesting etiologies and treatment of clinical deterioration.. Journal of critical care. https://doi.org/10.1016/j.jcrc.2026.155748
Source records
- pubmed · retrieved 2026-09-25T22:48:29.182Z