Clinical severity classes in COVID-19 pneumonia have distinct immunological profiles, facilitating risk stratification by machine learning.
- DOI
- 10.3389/fimmu.2023.1192765
- Published
- 2023
- Container
- Frontiers in immunology
- 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:10.3389/fimmu.2023.1192765,
title = {Clinical severity classes in COVID-19 pneumonia have distinct immunological profiles, facilitating risk stratification by machine learning.},
author = {Wiffen L and D'Cruz LG and Brown T and Higenbottam TW and Bernstein JA and Campbell C and Moellman J and Ghosh D and Richardson C and Weston-Davies W and Chauhan AJ},
year = {2023},
journal = {Frontiers in immunology},
doi = {10.3389/fimmu.2023.1192765},
url = {https://doi.org/10.3389/fimmu.2023.1192765}
}RIS
TY - JOUR TI - Clinical severity classes in COVID-19 pneumonia have distinct immunological profiles, facilitating risk stratification by machine learning. AU - Wiffen L AU - D'Cruz LG AU - Brown T AU - Higenbottam TW AU - Bernstein JA AU - Campbell C AU - Moellman J AU - Ghosh D AU - Richardson C AU - Weston-Davies W AU - Chauhan AJ PY - 2023 JO - Frontiers in immunology DO - 10.3389/fimmu.2023.1192765 UR - https://doi.org/10.3389/fimmu.2023.1192765 ER -
APA
L, W., LG, D., T, B., TW, H., JA, B., C, C., J, M., D, G., C, R., W, W., & AJ, C. (2023). Clinical severity classes in COVID-19 pneumonia have distinct immunological profiles, facilitating risk stratification by machine learning.. Frontiers in immunology. https://doi.org/10.3389/fimmu.2023.1192765
Source records
- pubmed · retrieved 2026-09-27T01:30:09.158Z