Software process management in heart disease prediction using KDD.

Heart disease is one of the main causes of death in India. The factors that cause heart disease are lifestyle, food habits, stress, smoking, obesity, diabetic problem etc. Healthcare Data mining has the potential to explore the hidden pattern in the data set of medical diagnostic and prognostic problems. These hidden patterns can be used for disease prediction. This research paper intends to analyze data mining techniques used in the healthcare field, particularly in heart disease prediction using Software process management (SPM). The heart disease prediction can be carried out with the help of Artificial Neural Network (ANN) and agile methodology. The parameters that investigate the use of Knowledge Discovery and Data Mining in heart disease prediction are Sex, Bad cholesterol, Blood pressure, Blood sugar, Heart rate, Age etc. This paper is an effort to design an enhanced predictive model of Software process management for heart disease prediction using Knowledge Discovery and Data Mining techniques. [ABSTRACT FROM AUTHOR]