Prediction of Myocardial Infarction From Patient Features With Machine Learning

This study proposes machine learning-based models to automatically evaluate the severity of myocardial infarction (MI) from physiological, clinical, and paraclinical features. Two types of machine learning models are investigated for the MI assessment: the classification models classify the presence...

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Detalles Bibliográficos
Autores principales: Chen, Zhihao, Shi, Jixi, Pommier, Thibaut, Cottin, Yves, Salomon, Michel, Decourselle, Thomas, Lalande, Alain, Couturier, Raphaël
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8964399/
https://www.ncbi.nlm.nih.gov/pubmed/35369326
http://dx.doi.org/10.3389/fcvm.2022.754609

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8964399/
https://www.ncbi.nlm.nih.gov/pubmed/35369326
http://dx.doi.org/10.3389/fcvm.2022.754609

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