A machine learning–based clinical decision support algorithm for reducing unnecessary coronary angiograms

BACKGROUND: Conventional clinical risk scores and diagnostic algorithms are proving to be suboptimal in the prediction of obstructive coronary artery disease, contributing to the low diagnostic yield of invasive angiography. Machine learning could help better predict which patients would benefit fro...

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Detalles Bibliográficos
Autores principales: Schwalm, J.D., Di, Shuang, Sheth, Tej, Natarajan, Madhu K., O’Brien, Erin, McCready, Tara, Petch, Jeremy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8890355/
https://www.ncbi.nlm.nih.gov/pubmed/35265932
http://dx.doi.org/10.1016/j.cvdhj.2021.12.001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8890355/
https://www.ncbi.nlm.nih.gov/pubmed/35265932
http://dx.doi.org/10.1016/j.cvdhj.2021.12.001

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