Predicting the likelihood of hypoadrenocorticism in dogs using signalment and routine laboratory results with an ensemble machine learning predictive model.
- DOI
- 10.1093/jvimsj/aalaf067
- Published
- 2026 Jan 21
- Container
- Journal of veterinary internal medicine
- 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:10.1093/jvimsj/aalaf067,
title = {Predicting the likelihood of hypoadrenocorticism in dogs using signalment and routine laboratory results with an ensemble machine learning predictive model.},
author = {Martineau M and Kurtz M and Lavoue R and Krafft E and Benchekroun G and Drut A and Kim M and Thierry S and Robin E and Le Boedec K},
year = {2026},
journal = {Journal of veterinary internal medicine},
doi = {10.1093/jvimsj/aalaf067},
url = {https://doi.org/10.1093/jvimsj/aalaf067}
}RIS
TY - JOUR TI - Predicting the likelihood of hypoadrenocorticism in dogs using signalment and routine laboratory results with an ensemble machine learning predictive model. AU - Martineau M AU - Kurtz M AU - Lavoue R AU - Krafft E AU - Benchekroun G AU - Drut A AU - Kim M AU - Thierry S AU - Robin E AU - Le Boedec K PY - 2026 JO - Journal of veterinary internal medicine DO - 10.1093/jvimsj/aalaf067 UR - https://doi.org/10.1093/jvimsj/aalaf067 ER -
APA
M, M., M, K., R, L., E, K., G, B., A, D., M, K., S, T., E, R., & K, L. B. (2026). Predicting the likelihood of hypoadrenocorticism in dogs using signalment and routine laboratory results with an ensemble machine learning predictive model.. Journal of veterinary internal medicine. https://doi.org/10.1093/jvimsj/aalaf067
Source records
- pubmed · retrieved 2026-09-26T02:20:13.694Z