Reducing the Heart Failure Burden in Romania by Predicting Congestive Heart Failure Using Artificial Intelligence: Proof of Concept

Due to population aging, we are currently confronted with an increased number of chronic heart failure patients. The primary purpose of this study was to implement a noncontact system that can predict heart failure exacerbation through vocal analysis. We designed the system to evaluate the voice cha...

Full description

Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Maria-Alexandra Pană, Ștefan-Sebastian Busnatu, Liviu-Ionut Serbanoiu, Electra Vasilescu, Nirvana Popescu, Cătălina Andrei, Crina-Julieta Sinescu
Format:	Article
Language:	English
Published:	MDPI AG 2021-12-01
Subjects:	artificial intelligence chronic heart failure cardiogenic pulmonary edema machine learning
Online Access:	https://www.mdpi.com/2076-3417/11/24/11728