Mixed-Effects Machine Learning improved prediction of Obstetric Anal Sphincter Injury: a nationwide multicenter cohort study
- DOI
- 10.64898/2026.09.29.26364280
- Published
- 2026-10-01
- Container
- Not recorded
- Publisher
- openRxiv
- Open access
- unknown
Credibility signals
uncertain Score 60/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- 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.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.64898/2026.09.29.26364280,
title = {Mixed-Effects Machine Learning improved prediction of Obstetric Anal Sphincter Injury: a nationwide multicenter cohort study},
author = {Abdelhak Chahid Mohamed and Anita CJ Ravelli and JanWillem de Leeuw and Jeroen van Bavel and Ameen Abu-Hanna},
year = {2026},
doi = {10.64898/2026.09.29.26364280},
url = {https://doi.org/10.64898/2026.09.29.26364280}
}RIS
TY - JOUR TI - Mixed-Effects Machine Learning improved prediction of Obstetric Anal Sphincter Injury: a nationwide multicenter cohort study AU - Abdelhak Chahid Mohamed AU - Anita CJ Ravelli AU - JanWillem de Leeuw AU - Jeroen van Bavel AU - Ameen Abu-Hanna PY - 2026 DO - 10.64898/2026.09.29.26364280 UR - https://doi.org/10.64898/2026.09.29.26364280 ER -
APA
Mohamed, A. C., Ravelli, A. C., Leeuw, J. D., Bavel, J. V., & Abu-Hanna, A. (2026). Mixed-Effects Machine Learning improved prediction of Obstetric Anal Sphincter Injury: a nationwide multicenter cohort study. https://doi.org/10.64898/2026.09.29.26364280
Source records
- crossref · retrieved 2026-11-07T23:57:12.635Z