Interpretable machine-learning prognosis of mycetoma from routine clinical data.

Yousif MH, Alsammani A, Abdalla MH, Bashier EBM, Mohammed MAY, Saeed AA, Fahal AH

DOI: 10.1093/trstmh/trag061
Published: 2026 Sep 2
Container: Transactions of the Royal Society of Tropical Medicine and Hygiene
Publisher: Not recorded
Open access: no

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:10.1093/trstmh/trag061,
  title = {Interpretable machine-learning prognosis of mycetoma from routine clinical data.},
  author = {Yousif MH and Alsammani A and Abdalla MH and Bashier EBM and Mohammed MAY and Saeed AA and Fahal AH},
  year = {2026},
  journal = {Transactions of the Royal Society of Tropical Medicine and Hygiene},
  doi = {10.1093/trstmh/trag061},
  url = {https://doi.org/10.1093/trstmh/trag061}
}

RIS

TY  - JOUR
TI  - Interpretable machine-learning prognosis of mycetoma from routine clinical data.
AU  - Yousif MH
AU  - Alsammani A
AU  - Abdalla MH
AU  - Bashier EBM
AU  - Mohammed MAY
AU  - Saeed AA
AU  - Fahal AH
PY  - 2026
JO  - Transactions of the Royal Society of Tropical Medicine and Hygiene
DO  - 10.1093/trstmh/trag061
UR  - https://doi.org/10.1093/trstmh/trag061
ER  -

APA

MH, Y., A, A., MH, A., EBM, B., MAY, M., AA, S., & AH, F. (2026). Interpretable machine-learning prognosis of mycetoma from routine clinical data.. Transactions of the Royal Society of Tropical Medicine and Hygiene. https://doi.org/10.1093/trstmh/trag061

Source records

pubmed · retrieved 2026-09-26T00:14:32.365Z
europe-pmc · retrieved 2026-09-26T00:14:32.380Z