Today, many hospitals manage healthcare data using
healthcare information system; as the system contains huge
amount of data, used to extract hidden information for making
intelligent medical diagnosis. The main objective of this
research is to build Intelligent Heart Disease Prediction
System that gives diagnosis of heart disease using historical
heart database. To develop this system, medical terms such as
sex, blood pressure, and cholesterol like 13 input attributes are
used. To get more appropriate results, two more attributes i.e.
obesity and smoking are used, as these attributes are
considered as important attributes for heart disease. The data
mining classification techniques viz. Neural Networks,
Decision Trees, and Naive Bayes are used
Today, many hospitals manage healthcare data usinghealthcare information system; as the system contains hugeamount of data, used to extract hidden information for makingintelligent medical diagnosis. The main objective of thisresearch is to build Intelligent Heart Disease PredictionSystem that gives diagnosis of heart disease using historicalheart database. To develop this system, medical terms such assex, blood pressure, and cholesterol like 13 input attributes areused. To get more appropriate results, two more attributes i.e.obesity and smoking are used, as these attributes areconsidered as important attributes for heart disease. The datamining classification techniques viz. Neural Networks,Decision Trees, and Naive Bayes are used
การแปล กรุณารอสักครู่..
