Physicians and Machine-Learning Algorithm Performance in Predicting Left-Ventricular Systolic Dysfunction from a Standard 12-Lead-Electrocardiogram

Early detection of left ventricular systolic dysfunction (LVSD) may prompt early care and improve outcomes for asymptomatic patients. Standard 12-lead ECG may be used to predict LVSD. We aimed to compare the performance of Machine Learning Algorithms (MLA) and physicians in predicting LVSD from a st...

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Detalles Bibliográficos
Autores principales: Golany, Tomer, Radinsky, Kira, Kofman, Natalia, Litovchik, Ilya, Young, Revital, Monayer, Antoinette, Love, Itamar, Tziporin, Faina, Minha, Ido, Yehuda, Yakir, Ziv-Baran, Tomer, Fuchs, Shmuel, Minha, Sa’ar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9699306/
https://www.ncbi.nlm.nih.gov/pubmed/36431244
http://dx.doi.org/10.3390/jcm11226767

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9699306/
https://www.ncbi.nlm.nih.gov/pubmed/36431244
http://dx.doi.org/10.3390/jcm11226767

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