A machine learning model in predicting hemodynamically significant coronary artery disease: A prospective cohort study

BACKGROUND: Coronary artery disease (CAD) costs healthcare billions of dollars annually and is the leading cause of death despite available noninvasive diagnostic tools. OBJECTIVE: This study aims to examine the usefulness of machine learning in predicting hemodynamically significant CAD using routi...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Yan, Ren, Haoxing, Fanous, Hanna, Dai, Xuming, Wolf, Hope M., Wade, Tyrone C., Ramm, Cassandra J., Stouffer, George A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9204796/
https://www.ncbi.nlm.nih.gov/pubmed/35720674
http://dx.doi.org/10.1016/j.cvdhj.2022.02.002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9204796/
https://www.ncbi.nlm.nih.gov/pubmed/35720674
http://dx.doi.org/10.1016/j.cvdhj.2022.02.002

Ejemplares similares