Development and validation of echocardiography-based machine-learning models to predict mortality

BACKGROUND: Echocardiography (echo) based machine learning (ML) models may be useful in identifying patients at high-risk of all-cause mortality. METHODS: We developed ML models (ResNet deep learning using echo videos and CatBoost gradient boosting using echo measurements) to predict 1-year, 3-year,...

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Detalles Bibliográficos
Autores principales: Valsaraj, Akshay, Kalmady, Sunil Vasu, Sharma, Vaibhav, Frost, Matthew, Sun, Weijie, Sepehrvand, Nariman, Ong, Marcus, Equibec, Cyril, Dyck, Jason R.B., Anderson, Todd, Becher, Harald, Weeks, Sarah, Tromp, Jasper, Hung, Chung-Lieh, Ezekowitz, Justin A., Kaul, Padma
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10006431/
https://www.ncbi.nlm.nih.gov/pubmed/36857967
http://dx.doi.org/10.1016/j.ebiom.2023.104479

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10006431/
https://www.ncbi.nlm.nih.gov/pubmed/36857967
http://dx.doi.org/10.1016/j.ebiom.2023.104479

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