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

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...

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Bibliographic Details
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
Series:Applied Sciences
Subjects:
artificial intelligence
chronic heart failure
cardiogenic pulmonary edema
machine learning
Online Access:https://www.mdpi.com/2076-3417/11/24/11728

Internet

https://www.mdpi.com/2076-3417/11/24/11728

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