Ensemble Deep Learning Models for Heart Disease Classification: A Case Study from Mexico
Abstract
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 diagnose and monitor heart disease. We collected a dataset from Medica Norte Hospital in Mexico that includes 800 records and 141 indicators such as age,...
Paper Details
Title
Ensemble Deep Learning Models for Heart Disease Classification: A Case Study from Mexico
Published Date
Apr 14, 2020
Journal
Volume
11
Issue
4
Pages
207 - 207
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