JIITA, vol.5 no.1, p.p.417-430, 2021, DOI:
IMPACT OF CLASSIFICATION ALGORITHMS FOR THE PREDICTION OF HEART DISEASE: A SURVEY
N. Jagadeesan and T. Velmurugan
1) Department of Computer Applications (B.C.A), D.G.Vaishnav College, Arumbakkam, Chennai – 600106, India.
2) PG and Research Department of Computer Science, D.G.Vaishnav College, Arumbakkam, Chennai – 600106, India.
Abstract: Nowadays, modern technology creates a high impact in all fields of human life. Particularly, a number of recent improvements in the area of medical diagnosis utilized for the prediction of diseases in the available medical records. Heart disease is the number one disease, which happens frequently in all kinds of humans. The researchers suggest many methods to predict and classify heart disease in their research work. The role of computer techniques for the prediction of heart disease is very high and more research work done by many researchers. Different methods of data mining techniques applied for the identification of various diseases. This survey work is carried out to analyze such techniques used for the identification of heart disease which is carried out by different persons in their work. In particular, this work will explore the use of classification algorithms for the prediction and identification of heart disease. At the end of this work, the best classification method is identified from different researchers’ perspectives in healthcare diligence. Also, it is suggested the best method for diagnosing heart disease in the future.
Keywords: Heart Disease Prediction, Data Mining Techniques, Classification Algorithms, Healthcare Data Analysis