• Sai Shashikaa
• Swathi K
• Rabiya Farheen
• Swetha Adiga G
• Vaishnavi K N

In this paper, by using data mining we can evaluate many patterns which will be use in future to make intelligent systems and decisions By data mining refers to various methods of identifying information or the adoption of solutions based on knowledge and data extraction of these data so that they can be used in various areas such as decision-making, the prediction value for the prediction and calculation. In our days the health industry has collected vast amounts of patient data, which, unfortunately, is not "produced" in order to give some hidden information, and thus to make effective decisions, which are connected with the base of the patient's data and are subject to data mining. This research work has developed a Decision Support in Heart Disease Prediction System (HDPS) using data mining modeling technique. Using of medical data, such as age, sex, blood pressure and blood sugar levels, chest pain, electrocardiogram, analyzes of different study patient, etc. graphics can predict the likelihood of the patient.

GUI PyQt5, MLP, Naive Bayes, SVM, Prediction, Accuracy.

"The Prediction of Myocardial Infarction for Heart Patients", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.564-571, April-2019, Available :http://www.jetir.org/papers/JETIR1904P88.pdf

"The Prediction of Myocardial Infarction for Heart Patients", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp564-571, April-2019, Available at : http://www.jetir.org/papers/JETIR1904P88.pdf