文章基本信息

标题：Novel Approach for Heart Disease Prediction Using Decision Tree Algorithm
本地全文：下载
作者：Gadoya Komal ; DR.Vipul Vekariya
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：11
DOI：10.15680/IJIRCCE.2015.0311064
出版社：S&S Publications
摘要：The procedure of applying intelligent as well as perceptive methods for extracting data patterns is calledData mining. There are so many techniques generally used to identify information and in decision making forknowledge presentation. Extraction of data in these way that they are useful in areas like decision making as well as forvaluable forecasting also in computation and predictions. The Healthcare, clinical and medical fields are rich ininformation but are not exactly used to its area. The healthcare industry collects huge amounts of healthcare informationthat are not “mined” means extracted to discover hidden information. For effective decision making, healthcareorganizations are faced with challenges to provide cost-effective, efficient as well as richer quality of patient care. Inshort, to discover the relations which present between connect parameters in a database is the subject of data mining.This research has developed a prototype Intelligent Heart Disease Prediction System (IHDPS) using data miningtechniques, namely, Decision Trees i.e. ID3.By using medical profiles of patients such as age, gender, blood pressureand blood sugar, chest pain, ECG graph etc, it can predict the likelihood of patients getting a heart disease or not. Thisproposed system is implemented in MATLAB as an application that takes parameters of medical test as an input. Itshows as a training tool to train nurses ,medical students, and also for fresher in medical analysis to diagnose patientswith heart disease.
关键词：Data mining; Gini Index; Information Gain; Gain ratio; heart disease;Decision tree algorithm; decision support