Prediction and Analysis of Heart Failure Decompensation Events Based on Telemonitored Data and Artificial Intelligence Methods

Prediction and Analysis of Heart Failure Decompensation Events Based on Telemonitored Data and Artificial Intelligence Methods

Cardiovascular diseases are the leading cause of death globally, taking an estimated 17.9 million lives each year. Heart failure (HF) occurs when the heart is not able to pump enough blood to satisfy metabolic needs. People diagnosed with chronic HF may suffer from cardiac decompensation events (CDE...

Full description

Bibliographic Details
Main Authors: Jon Kerexeta, Nekane Larburu, Vanessa Escolar, Ainara Lozano-Bahamonde, Iván Macía, Andoni Beristain Iraola, Manuel Graña
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Journal of Cardiovascular Development and Disease
Subjects:
machine learning
heart failure
decompensation
monitoring
XGBoost
logistic regression
Online Access:https://www.mdpi.com/2308-3425/10/2/48

Internet

https://www.mdpi.com/2308-3425/10/2/48

Similar Items