Prioritising clinical feasibility and practicality in machine learning-based prediction model: Author's reply.
- DOI
- 10.1016/j.aucc.2025.101527
- Published
- 2026 Apr
- Container
- Australian critical care : official journal of the Confederation of Australian Critical Care Nurses
- Publisher
- Not recorded
- Open access
- no
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.aucc.2025.101527,
title = {Prioritising clinical feasibility and practicality in machine learning-based prediction model: Author's reply.},
author = {Imai K and Unoki T and Takahashi N and Horikawa M},
year = {2026},
journal = {Australian critical care : official journal of the Confederation of Australian Critical Care Nurses},
doi = {10.1016/j.aucc.2025.101527},
url = {https://doi.org/10.1016/j.aucc.2025.101527}
}RIS
TY - JOUR TI - Prioritising clinical feasibility and practicality in machine learning-based prediction model: Author's reply. AU - Imai K AU - Unoki T AU - Takahashi N AU - Horikawa M PY - 2026 JO - Australian critical care : official journal of the Confederation of Australian Critical Care Nurses DO - 10.1016/j.aucc.2025.101527 UR - https://doi.org/10.1016/j.aucc.2025.101527 ER -
APA
K, I., T, U., N, T., & M, H. (2026). Prioritising clinical feasibility and practicality in machine learning-based prediction model: Author's reply.. Australian critical care : official journal of the Confederation of Australian Critical Care Nurses. https://doi.org/10.1016/j.aucc.2025.101527
Source records
- pubmed · retrieved 2026-09-25T14:59:45.586Z
- europe-pmc · retrieved 2026-09-25T14:59:45.599Z