文章基本信息

标题：Prediction of Heart Disease Using a Combination of Machine Learning and Deep Learning
本地全文：下载
作者：Rohit Bharti ; Aditya Khamparia ; Mohammad Shabaz 等
期刊名称：Computational Intelligence and Neuroscience
印刷版ISSN：1687-5265
电子版ISSN：1687-5273
出版年度：2021
卷号：2021
页码：1-11
DOI：10.1155/2021/8387680
出版社：Hindawi Publishing Corporation
摘要：The correct prediction of heart disease can prevent life threats, and incorrect prediction can prove to be fatal at the same time. In this paper different machine learning algorithms and deep learning are applied to compare the results and analysis of the UCI Machine Learning Heart Disease dataset. The dataset consists of 14 main attributes used for performing the analysis. Various promising results are achieved and are validated using accuracy and confusion matrix. The dataset consists of some irrelevant features which are handled using Isolation Forest, and data are also normalized for getting better results. And how this study can be combined with some multimedia technology like mobile devices is also discussed. Using deep learning approach, 94.2% accuracy was obtained.