Development and validation of echocardiography-based machine-learning models to predict mortalityResearch in context

Development and validation of echocardiography-based machine-learning models to predict mortalityResearch in context

Summary: 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-yea...

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Bibliographic Details
Main Authors: Akshay Valsaraj, Sunil Vasu Kalmady, Vaibhav Sharma, Matthew Frost, Weijie Sun, Nariman Sepehrvand, Marcus Ong, Cyril Equibec, Jason R.B. Dyck, Todd Anderson, Harald Becher, Sarah Weeks, Jasper Tromp, Chung-Lieh Hung, Justin A. Ezekowitz, Padma Kaul
Format: Article
Language:English
Published: Elsevier 2023-04-01
Series:EBioMedicine
Subjects:
Echocardiography
Machine learning
Deep learning
Mortality
Heart failure
Prognostic models
Online Access:http://www.sciencedirect.com/science/article/pii/S2352396423000440

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http://www.sciencedirect.com/science/article/pii/S2352396423000440

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