Ensemble Deep Learning Models for Heart Disease Classification: A Case Study from Mexico
Heart diseases are highly ranked among the leading causes of mortality in the world. They have various types including vascular, ischemic, and hypertensive heart disease. A large number of medical features are reported for patients in the Electronic Health Records (EHR) that allow physicians to diag...
Main Authors: | Asma Baccouche, Begonya Garcia-Zapirain, Cristian Castillo Olea, Adel Elmaghraby |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-04-01
|
Series: | Information |
Subjects: | |
Online Access: | https://www.mdpi.com/2078-2489/11/4/207 |
Similar Items
-
Breast Cancer Histopathology Image Classification Using an Ensemble of Deep Learning Models
by: Zabit Hameed, et al.
Published: (2020-08-01) -
Kudo’s Classification for Colon Polyps Assessment Using a Deep Learning Approach
by: Sebastian Patino-Barrientos, et al.
Published: (2020-01-01) -
Deep Learning Application to Ensemble Learning—The Simple, but Effective, Approach to Sentiment Classifying
by: Thien Khai Tran, et al.
Published: (2019-07-01) -
Selective Ensemble Learning Algorithm for Imbalanced Dataset
by: Chen, Y.-C, et al.
Published: (2023) -
Dual-Layer Deep Ensemble Techniques for Classifying Heart Disease
by: Jothi Prakash, V., et al.
Published: (2022)