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

BACKGROUND: In 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 p...

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Detalles Bibliográficos
Autores principales: Kim, Juntae, Lee, Su Yeon, Cha, Byung Hee, Lee, Wonseop, Ryu, JiWung, Chung, Young Hak, Kim, Dongmin, Lim, Seong-Hoon, Kang, Tae Soo, Park, Byoung-Eun, Lee, Myung-Yong, Cho, Sungsoo
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/PMC9343708/
https://www.ncbi.nlm.nih.gov/pubmed/35928935
http://dx.doi.org/10.3389/fcvm.2022.933803

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9343708/
https://www.ncbi.nlm.nih.gov/pubmed/35928935
http://dx.doi.org/10.3389/fcvm.2022.933803

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