A Bayesian Dynamic Inference Approach Based on Extracted Gray Level Co-Occurrence (GLCM) Features for the Dynamical Analysis of Congestive Heart Failure

A Bayesian Dynamic Inference Approach Based on Extracted Gray Level Co-Occurrence (GLCM) Features for the Dynamical Analysis of Congestive Heart Failure

The adoptability of the heart to external and internal stimuli is reflected by heart rate variability (HRV). Reduced HRV can be a predictor of post-infarction mortality. In this study, we propose an automated system to predict and diagnose congestive heart failure using short-term heart rate variabi...

Full description

Bibliographic Details
Main Authors: Majdy M. Eltahir, Lal Hussain, Areej A. Malibari, Mohamed K. Nour, Marwa Obayya, Heba Mohsen, Adil Yousif, Manar Ahmed Hamza
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Applied Sciences
Subjects:
heart rate variability (HRV)
Bayesian inference approach
intelligent methods
congestive heart failure
machine learning
Online Access:https://www.mdpi.com/2076-3417/12/13/6350

Similar Items

Similar Items