• Dr. M. Rajeswari
• P. Kausika

Heart disease is any problem in cardiovascular system. Coronary heart disease, Arrhythmia, Heart valve disease, Heart failure are some common types of heart disease, then it is said that the symptom of heart disease depends upon, type of heart disease of a patient. It is said that the leading cause of death in USA is because of heart disease. In this project the medical history of patients is taken as dataset. The cholesterol, diabetes, chest pain type, slope and many other attributes are taken into consideration for predicting heart disease in machine learning(ML). Machine Learning (ML) has proved to be vital in predicting heart disease. Linear regression and logistic regression algorithum with machine learning are used to predict the heart disease. The visualization is made for the dataset. Using logistic regression is used for predict further possibility of heart disease. The predicted output is displayed and the accuracy is measured.

Machine learning model for Prediction of Heart Disease, machine learning (ML), Logistic regression, artificial intelligence(AI)

"DEVELOPMENT OF MACHINE LEARNING MODEL TO PREDICT FUTURE POSSIBILITY OF HEART DISEASE.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.206-213, June-2022, Available :http://www.jetir.org/papers/JETIRFN06034.pdf

"DEVELOPMENT OF MACHINE LEARNING MODEL TO PREDICT FUTURE POSSIBILITY OF HEART DISEASE.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. pp206-213, June-2022, Available at : http://www.jetir.org/papers/JETIRFN06034.pdf