Development and internal validation of machine learning models for predicting lymph node metastasis in cutaneous head and neck melanoma.

Cheng B, Yu J, Ji Q

DOI: 10.21037/tcr-2026-1283
Published: 2026 Sep 30
Container: Translational cancer research
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. 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
supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
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:10.21037/tcr-2026-1283,
  title = {Development and internal validation of machine learning models for predicting lymph node metastasis in cutaneous head and neck melanoma.},
  author = {Cheng B and Yu J and Ji Q},
  year = {2026},
  journal = {Translational cancer research},
  doi = {10.21037/tcr-2026-1283},
  url = {https://doi.org/10.21037/tcr-2026-1283}
}

RIS

TY  - JOUR
TI  - Development and internal validation of machine learning models for predicting lymph node metastasis in cutaneous head and neck melanoma.
AU  - Cheng B
AU  - Yu J
AU  - Ji Q
PY  - 2026
JO  - Translational cancer research
DO  - 10.21037/tcr-2026-1283
UR  - https://doi.org/10.21037/tcr-2026-1283
ER  -

APA

B, C., J, Y., & Q, J. (2026). Development and internal validation of machine learning models for predicting lymph node metastasis in cutaneous head and neck melanoma.. Translational cancer research. https://doi.org/10.21037/tcr-2026-1283

Source records

pubmed · retrieved 2026-11-10T12:30:03.708Z