Prediction of Atrial Fibrillation in Hospitalized Elderly Patients With Coronary Heart Disease and Type 2 Diabetes Mellitus Using Machine Learning: A Multicenter Retrospective Study

BACKGROUND: The objective of this study was to use machine learning algorithms to construct predictive models for atrial fibrillation (AF) in elderly patients with coronary heart disease (CHD) and type 2 diabetes mellitus (T2DM). METHODS: The diagnosis and treatment data of elderly patients with CHD...

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Detalles Bibliográficos
Autores principales: Xu, Qian, Peng, Yan, Tan, Juntao, Zhao, Wenlong, Yang, Meijie, Tian, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8931193/
https://www.ncbi.nlm.nih.gov/pubmed/35309227
http://dx.doi.org/10.3389/fpubh.2022.842104

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8931193/
https://www.ncbi.nlm.nih.gov/pubmed/35309227
http://dx.doi.org/10.3389/fpubh.2022.842104

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