Steatosis liver index: A validated machine learning model using clinical data distinguishes steatotic liver disease phenotypes
- DOI
- 10.1016/j.dld.2026.08.009
- Published
- 2026-09
- Container
- Digestive and Liver Disease
- 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.dld.2026.08.009,
title = {Steatosis liver index: A validated machine learning model using clinical data distinguishes steatotic liver disease phenotypes},
author = {Mangesh Pagadala and Talal Khurshid and Wanyu Zhang and Vatsalya Vatsalya and Craig J McClain and Maiying Kong and Winston Dunn and Ashwani K. Singal},
year = {2026},
journal = {Digestive and Liver Disease},
doi = {10.1016/j.dld.2026.08.009},
url = {https://doi.org/10.1016/j.dld.2026.08.009}
}RIS
TY - JOUR TI - Steatosis liver index: A validated machine learning model using clinical data distinguishes steatotic liver disease phenotypes AU - Mangesh Pagadala AU - Talal Khurshid AU - Wanyu Zhang AU - Vatsalya Vatsalya AU - Craig J McClain AU - Maiying Kong AU - Winston Dunn AU - Ashwani K. Singal PY - 2026 JO - Digestive and Liver Disease DO - 10.1016/j.dld.2026.08.009 UR - https://doi.org/10.1016/j.dld.2026.08.009 ER -
APA
Pagadala, M., Khurshid, T., Zhang, W., Vatsalya, V., McClain, C. J., Kong, M., Dunn, W., & Singal, A. K. (2026). Steatosis liver index: A validated machine learning model using clinical data distinguishes steatotic liver disease phenotypes. Digestive and Liver Disease. https://doi.org/10.1016/j.dld.2026.08.009
Source records
- crossref · retrieved 2026-09-24T23:45:39.493Z