Machine learning for diagnosing non-ST-segment elevation myocardial infarction: a derivation and validation study.

Champetier A, Lopez-Ayala P, Reich C, Boeddinghaus J, Cattin P, Koechlin L, Miró Ò, Christ M, Keller DI, Martín-Sánchez FJ, Morawiec B, Parenica J, Kaplan E, Bima P, Recuenco LH, Huré G, Herzka D, Wildi K, Crisanti L, Durak K, Schaffer JS, Zimmermann T, Mahfoud F, Lindahl B, Giannitsis E, Strebel I, Mueller C, APACE, TRAPID-AMI Investigatorsn, TRAPID-AMI Investigators

Open source

DOI
10.1016/j.eclinm.2026.104055
Published
2026 Jul
Container
EClinicalMedicine
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1016/j.eclinm.2026.104055,
  title = {Machine learning for diagnosing non-ST-segment elevation myocardial infarction: a derivation and validation study.},
  author = {Champetier A and Lopez-Ayala P and Reich C and Boeddinghaus J and Cattin P and Koechlin L and Miró Ò and Christ M and Keller DI and Martín-Sánchez FJ and Morawiec B and Parenica J and Kaplan E and Bima P and Recuenco LH and Huré G and Herzka D and Wildi K and Crisanti L and Durak K and Schaffer JS and Zimmermann T and Mahfoud F and Lindahl B and Giannitsis E and Strebel I and Mueller C and APACE and TRAPID-AMI Investigatorsn and TRAPID-AMI Investigators},
  year = {2026},
  journal = {EClinicalMedicine},
  doi = {10.1016/j.eclinm.2026.104055},
  url = {https://doi.org/10.1016/j.eclinm.2026.104055}
}

RIS

TY  - JOUR
TI  - Machine learning for diagnosing non-ST-segment elevation myocardial infarction: a derivation and validation study.
AU  - Champetier A
AU  - Lopez-Ayala P
AU  - Reich C
AU  - Boeddinghaus J
AU  - Cattin P
AU  - Koechlin L
AU  - Miró Ò
AU  - Christ M
AU  - Keller DI
AU  - Martín-Sánchez FJ
AU  - Morawiec B
AU  - Parenica J
AU  - Kaplan E
AU  - Bima P
AU  - Recuenco LH
AU  - Huré G
AU  - Herzka D
AU  - Wildi K
AU  - Crisanti L
AU  - Durak K
AU  - Schaffer JS
AU  - Zimmermann T
AU  - Mahfoud F
AU  - Lindahl B
AU  - Giannitsis E
AU  - Strebel I
AU  - Mueller C
AU  - APACE
AU  - TRAPID-AMI Investigatorsn
AU  - TRAPID-AMI Investigators
PY  - 2026
JO  - EClinicalMedicine
DO  - 10.1016/j.eclinm.2026.104055
UR  - https://doi.org/10.1016/j.eclinm.2026.104055
ER  - 

APA

A, C., P, L., C, R., J, B., P, C., L, K., Ò, M., M, C., DI, K., FJ, M., B, M., J, P., E, K., P, B., LH, R., G, H., D, H., K, W., L, C., K, D., JS, S., T, Z., F, M., B, L., E, G., I, S., C, M., APACE, Investigatorsn, T., & Investigators, T. (2026). Machine learning for diagnosing non-ST-segment elevation myocardial infarction: a derivation and validation study.. EClinicalMedicine. https://doi.org/10.1016/j.eclinm.2026.104055

Source records