Discovering novel prognostic biomarkers of hepatocellular carcinoma using eXplainable Artificial Intelligence.
- DOI
- 10.1016/j.eswa.2024.124239
- Published
- 2024 Oct 15
- Container
- Expert systems with applications
- 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:10.1016/j.eswa.2024.124239,
title = {Discovering novel prognostic biomarkers of hepatocellular carcinoma using eXplainable Artificial Intelligence.},
author = {Gutierrez-Chakraborty E and Chakraborty D and Das D and Bai Y},
year = {2024},
journal = {Expert systems with applications},
doi = {10.1016/j.eswa.2024.124239},
url = {https://doi.org/10.1016/j.eswa.2024.124239}
}RIS
TY - JOUR TI - Discovering novel prognostic biomarkers of hepatocellular carcinoma using eXplainable Artificial Intelligence. AU - Gutierrez-Chakraborty E AU - Chakraborty D AU - Das D AU - Bai Y PY - 2024 JO - Expert systems with applications DO - 10.1016/j.eswa.2024.124239 UR - https://doi.org/10.1016/j.eswa.2024.124239 ER -
APA
E, G., D, C., D, D., & Y, B. (2024). Discovering novel prognostic biomarkers of hepatocellular carcinoma using eXplainable Artificial Intelligence.. Expert systems with applications. https://doi.org/10.1016/j.eswa.2024.124239
Source records
- pubmed · retrieved 2026-11-10T11:41:48.543Z