Machine learning models of clinically relevant biomarkers for the prediction of stable obstructive coronary artery disease

Machine learning models of clinically relevant biomarkers for the prediction of stable obstructive coronary artery disease

BackgroundIn patients with suspected obstructive coronary artery disease (CAD), evaluation using a pre-test probability model is the key element for diagnosis; however, its accuracy is controversial. This study aimed to develop machine learning (ML) models using clinically relevant biomarkers to pre...

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Detalhes bibliográficos
Main Authors:	Juntae Kim, Su Yeon Lee, Byung Hee Cha, Wonseop Lee, JiWung Ryu, Young Hak Chung, Dongmin Kim, Seong-Hoon Lim, Tae Soo Kang, Byoung-Eun Park, Myung-Yong Lee, Sungsoo Cho
Formato:	Artigo
Idioma:	English
Publicado em:	Frontiers Media S.A. 2022-07-01
Colecção:	Frontiers in Cardiovascular Medicine
Assuntos:	machine learning artificial intelligence coronary artery disease stable angina pectoris personalized medicine
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fcvm.2022.933803/full

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