PERFORMANCE OF EXTERNALLY VALIDATED MACHINE LEARNING MODELS BASED ON HISTOPATHOLOGY IMAGES FOR THE DIAGNOSIS, CLASSIFICATION, PROGNOSIS, OR TREATMENT OUTCOME PREDICTION IN FEMALE BREAST CANCER: A SYSTEMATIC REVIEW
- DOI
- 10.71548/25354
- Published
- 2023
- Container
- Not recorded
- Publisher
- McMaster University
- 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.
- 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.
- 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.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.71548/25354,
title = {PERFORMANCE OF EXTERNALLY VALIDATED MACHINE LEARNING MODELS BASED ON HISTOPATHOLOGY IMAGES FOR THE DIAGNOSIS, CLASSIFICATION, PROGNOSIS, OR TREATMENT OUTCOME PREDICTION IN FEMALE BREAST CANCER: A SYSTEMATIC REVIEW},
author = {GONZALEZ, RICARDO},
year = {2023},
doi = {10.71548/25354},
url = {https://doi.org/10.71548/25354}
}RIS
TY - JOUR TI - PERFORMANCE OF EXTERNALLY VALIDATED MACHINE LEARNING MODELS BASED ON HISTOPATHOLOGY IMAGES FOR THE DIAGNOSIS, CLASSIFICATION, PROGNOSIS, OR TREATMENT OUTCOME PREDICTION IN FEMALE BREAST CANCER: A SYSTEMATIC REVIEW AU - GONZALEZ, RICARDO PY - 2023 DO - 10.71548/25354 UR - https://doi.org/10.71548/25354 ER -
APA
RICARDO, G. (2023). PERFORMANCE OF EXTERNALLY VALIDATED MACHINE LEARNING MODELS BASED ON HISTOPATHOLOGY IMAGES FOR THE DIAGNOSIS, CLASSIFICATION, PROGNOSIS, OR TREATMENT OUTCOME PREDICTION IN FEMALE BREAST CANCER: A SYSTEMATIC REVIEW. https://doi.org/10.71548/25354
Source records
- datacite · retrieved 2026-09-25T00:45:46.056Z