Machine Learning Algorithms for Prediction of Survival by Stress Echocardiography in Chronic Coronary Syndromes

Stress echocardiography (SE) is based on regional wall motion abnormalities and coronary flow velocity reserve (CFVR). Their independent prognostic capabilities could be better studied with a machine learning (ML) approach. The study aims to assess the SE outcome data by conducting an analysis with...

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Detalles Bibliográficos
Autores principales: Cortigiani, Lauro, Azzolina, Danila, Ciampi, Quirino, Lorenzoni, Giulia, Gaibazzi, Nicola, Rigo, Fausto, Gherardi, Sonia, Bovenzi, Francesco, Gregori, Dario, Picano, Eugenio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9504503/
https://www.ncbi.nlm.nih.gov/pubmed/36143307
http://dx.doi.org/10.3390/jpm12091523

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9504503/
https://www.ncbi.nlm.nih.gov/pubmed/36143307
http://dx.doi.org/10.3390/jpm12091523

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