Will Dynamic Evaluation of Cardiogenic Shock Using Machine Learning Models Lead to Improved Survival?
- DOI
- 10.1016/j.hlc.2025.08.027
- Published
- 2026-01
- Container
- Heart, Lung and Circulation
- Publisher
- Elsevier BV
- 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:10.1016/j.hlc.2025.08.027,
title = {Will Dynamic Evaluation of Cardiogenic Shock Using Machine Learning Models Lead to Improved Survival?},
author = {Vishal Goel and William Chan and Jack Tan and Sidney Lo and Adam J. Nelson and Dion Stub and Derek Chew},
year = {2026},
journal = {Heart, Lung and Circulation},
doi = {10.1016/j.hlc.2025.08.027},
url = {https://doi.org/10.1016/j.hlc.2025.08.027}
}RIS
TY - JOUR TI - Will Dynamic Evaluation of Cardiogenic Shock Using Machine Learning Models Lead to Improved Survival? AU - Vishal Goel AU - William Chan AU - Jack Tan AU - Sidney Lo AU - Adam J. Nelson AU - Dion Stub AU - Derek Chew PY - 2026 JO - Heart, Lung and Circulation DO - 10.1016/j.hlc.2025.08.027 UR - https://doi.org/10.1016/j.hlc.2025.08.027 ER -
APA
Goel, V., Chan, W., Tan, J., Lo, S., Nelson, A. J., Stub, D., & Chew, D. (2026). Will Dynamic Evaluation of Cardiogenic Shock Using Machine Learning Models Lead to Improved Survival?. Heart, Lung and Circulation. https://doi.org/10.1016/j.hlc.2025.08.027
Source records
- crossref · retrieved 2026-09-27T02:15:47.920Z