• T.V.RAMANA

One of the most exciting and difficult tasks is predicting heart disease through data mining. The lack of professionals and the significant number of incorrectly diagnosed cases have prompted the development of a quick and efficient detection method. According to previous systems, combining clinical decision assistance with a computer-based patient record can help to reduce medical errors, improve precision, and hence improve patient safety. We are developing a method that can aid in the prediction of cardiac disease by taking into account risk factors connected with the disease. The system uses a support vector machine algorithm on the patient's historical information/data and gives features such as age, sex, smoking, obesity, alcohol intake, bad cholesterol, blood pressure, and heart rate to make a more accurate prediction of coronary heart disease.

prediction, heart disease, medical, mining, cardiovascular

"USING THE SVM ALGORITHM TO PREDICT AND ANALYZE HEART DISEASE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 3, page no.d91-d96, March-2022, Available :http://www.jetir.org/papers/JETIR2203314.pdf

"USING THE SVM ALGORITHM TO PREDICT AND ANALYZE HEART DISEASE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 3, page no. ppd91-d96, March-2022, Available at : http://www.jetir.org/papers/JETIR2203314.pdf