A Systematic Review Of Machine Learning Models For Sepsis Prediction: An Appraise-Ai Approach.
- DOI
- 10.1097/shk.0000000000002850
- Published
- 2026 Mar 20
- Container
- Shock (Augusta, Ga.)
- 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:10.1097/shk.0000000000002850,
title = {A Systematic Review Of Machine Learning Models For Sepsis Prediction: An Appraise-Ai Approach.},
author = {Wang T and Li Q and Wang Z and Yu C and Yao L and Zhou Z and Yin J and Liu Y and Chen Y and Wei X and Zhang Z and Xia L and Ru J and Hong W},
year = {2026},
journal = {Shock (Augusta, Ga.)},
doi = {10.1097/shk.0000000000002850},
url = {https://doi.org/10.1097/shk.0000000000002850}
}RIS
TY - JOUR TI - A Systematic Review Of Machine Learning Models For Sepsis Prediction: An Appraise-Ai Approach. AU - Wang T AU - Li Q AU - Wang Z AU - Yu C AU - Yao L AU - Zhou Z AU - Yin J AU - Liu Y AU - Chen Y AU - Wei X AU - Zhang Z AU - Xia L AU - Ru J AU - Hong W PY - 2026 JO - Shock (Augusta, Ga.) DO - 10.1097/shk.0000000000002850 UR - https://doi.org/10.1097/shk.0000000000002850 ER -
APA
T, W., Q, L., Z, W., C, Y., L, Y., Z, Z., J, Y., Y, L., Y, C., X, W., Z, Z., L, X., J, R., & W, H. (2026). A Systematic Review Of Machine Learning Models For Sepsis Prediction: An Appraise-Ai Approach.. Shock (Augusta, Ga.). https://doi.org/10.1097/shk.0000000000002850
Source records
- pubmed · retrieved 2026-09-27T00:01:43.990Z