Ensemble Deep Learning Models for Heart Disease Classification: A Case Study from Mexico

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...

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Bibliographic Details
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:
heart disease classification
neural network
ensemble-learning model
under-sampling
features selection
deep learning
Online Access:https://www.mdpi.com/2078-2489/11/4/207

Internet

https://www.mdpi.com/2078-2489/11/4/207

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