A Deep Survival Learning Approach for Cardiovascular Risk Estimation in Patients With Sleep Apnea

A Deep Survival Learning Approach for Cardiovascular Risk Estimation in Patients With Sleep Apnea

Cardiovascular (CV) disorders and obstructive sleep apnea (OSA) are very prevalent diseases worldwide. Multiple studies have demonstrated that OSA is associated with increased CV risk. Clinicians need to assess the CV risk to select the proper OSA treatment. A growing number of research have employe...

Full description

Bibliographic Details
Main Authors: Margaux Blanchard, Mathieu Feuilloy, Abdelkebir Sabil, Chloe Gerves-Pinquie, Frederic Gagnadoux, Jean-Marc Girault
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Deep learning
cardiovascular risk
survival analysis
sleep apnea
signal
Online Access:https://ieeexplore.ieee.org/document/9997517/

Internet

https://ieeexplore.ieee.org/document/9997517/

Similar Items