H-DSAE: a hybrid technique to recognize heart disease
Over the years, the number of people who succumbed to heart ailments has increased significantly worldwide. The World Health Organization claims that about 17 million people die each year due to heart disease. High levels of cholesterol and blood pressure are some risk factors. This technology seeks...
Saved in:
| Main Authors: | K. Uma Maheswari, A. Valarmathi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-06-01
|
| Series: | Frontiers in Physiology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fphys.2025.1563199/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The ability of Austrian registered physiotherapists to recognize serious pathology
by: Jessie Janssen, et al.
Published: (2024-10-01) -
Safety Risk Assessment of Jacking Renovation Construction for Aging Bridges Based on DBN and Fuzzy Set Theory
by: Yanhui Ge, et al.
Published: (2025-04-01) -
Enhancing Multi-Class Classification of Non-Functional Requirements Using a BERT-DBN Hybrid Model
by: Badzliana Aqmar Suris, et al.
Published: (2025-07-01) -
Enhancing intrusion detection systems: Innovative deep learning approaches using CNN, RNN, DBN and autoencoders for robust network security
by: Yakub HOSSAIN, et al.
Published: (2025-03-01) -
Performance Evaluation of Support Vector Machine and Stacked Autoencoder for Hyperspectral Image Analysis
by: Brahim Jabir, et al.
Published: (2025-01-01)