Scalable Causal-Interpretable Machine Learning for Cancer Prescreening Using Electronic Health Records
- DOI
- 10.64898/2026.09.21.26363536
- Published
- 2026-09-22
- Container
- Not recorded
- Publisher
- Not recorded
- Open access
- no
Credibility signals
limited evidence Score 39/100 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.
- cautionPublication version: Identified as a preprint; peer review and later versions may change the record.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.64898/2026.09.21.26363536,
title = {Scalable Causal-Interpretable Machine Learning for Cancer Prescreening Using Electronic Health Records},
author = {Zhang S and Xue F.},
year = {2026},
doi = {10.64898/2026.09.21.26363536},
url = {https://doi.org/10.64898/2026.09.21.26363536}
}RIS
TY - JOUR TI - Scalable Causal-Interpretable Machine Learning for Cancer Prescreening Using Electronic Health Records AU - Zhang S AU - Xue F. PY - 2026 DO - 10.64898/2026.09.21.26363536 UR - https://doi.org/10.64898/2026.09.21.26363536 ER -
APA
S, Z., & F., X. (2026). Scalable Causal-Interpretable Machine Learning for Cancer Prescreening Using Electronic Health Records. https://doi.org/10.64898/2026.09.21.26363536
Source records
- europe-pmc · retrieved 2026-09-25T20:24:36.800Z