Machine learning-based prediction of sudden cardiac death in the general population using electronic health record data
- DOI
- 10.1093/eurjpc/zwag087
- Published
- 2026-03-06
- Container
- European Journal of Preventive Cardiology
- Publisher
- Oxford University Press (OUP)
- Open access
- unknown
Credibility signals
uncertain Score 64/100 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.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1093/eurjpc/zwag087,
title = {Machine learning-based prediction of sudden cardiac death in the general population using electronic health record data},
author = {Younès Youssfi and Richard Chocron and Thomas Laurenceau and Frankie Beganton and Jean-Philippe Empana and Tom Rea and Nicolas Chopin and Wulfran Bougouin and Xavier Jouven},
year = {2026},
journal = {European Journal of Preventive Cardiology},
doi = {10.1093/eurjpc/zwag087},
url = {https://doi.org/10.1093/eurjpc/zwag087}
}RIS
TY - JOUR TI - Machine learning-based prediction of sudden cardiac death in the general population using electronic health record data AU - Younès Youssfi AU - Richard Chocron AU - Thomas Laurenceau AU - Frankie Beganton AU - Jean-Philippe Empana AU - Tom Rea AU - Nicolas Chopin AU - Wulfran Bougouin AU - Xavier Jouven PY - 2026 JO - European Journal of Preventive Cardiology DO - 10.1093/eurjpc/zwag087 UR - https://doi.org/10.1093/eurjpc/zwag087 ER -
APA
Youssfi, Y., Chocron, R., Laurenceau, T., Beganton, F., Empana, J., Rea, T., Chopin, N., Bougouin, W., & Jouven, X. (2026). Machine learning-based prediction of sudden cardiac death in the general population using electronic health record data. European Journal of Preventive Cardiology. https://doi.org/10.1093/eurjpc/zwag087
Source records
- crossref · retrieved 2026-09-26T23:33:44.207Z