A Practical Tutorial on Interpreting Machine Learning Models in Precision Medicine Using SHAP, LIME, and Large Language Models.

Liu Z, Huang X

DOI: 10.1002/sim.70803
Published: 2026 Nov
Container: Statistics in medicine
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. Source: Crossref; license: CC0 metadata
cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
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. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
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. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1002/sim.70803,
  title = {A Practical Tutorial on Interpreting Machine Learning Models in Precision Medicine Using SHAP, LIME, and Large Language Models.},
  author = {Liu Z and Huang X},
  year = {2026},
  journal = {Statistics in medicine},
  doi = {10.1002/sim.70803},
  url = {https://doi.org/10.1002/sim.70803}
}

RIS

TY  - JOUR
TI  - A Practical Tutorial on Interpreting Machine Learning Models in Precision Medicine Using SHAP, LIME, and Large Language Models.
AU  - Liu Z
AU  - Huang X
PY  - 2026
JO  - Statistics in medicine
DO  - 10.1002/sim.70803
UR  - https://doi.org/10.1002/sim.70803
ER  -

APA

Z, L., & X, H. (2026). A Practical Tutorial on Interpreting Machine Learning Models in Precision Medicine Using SHAP, LIME, and Large Language Models.. Statistics in medicine. https://doi.org/10.1002/sim.70803

Source records

pubmed · retrieved 2026-11-10T05:23:16.298Z