• Priyanka Jalindar Khabale
• Ankita Bharat Patil
• Poonam Ankush Londhe

Heart diseases are the murderous diseases. Death ratio is increasing day by day because of heart diseases. For diagnosis of this diseases manually this is time consuming process and the low system availability, we must identify the heart diseases at an early stage, it is necessary to develop a system for that. There are many technologies used in the development of such type of system, in that concept of data mining used. Using different machine learning algorithms we can develop such type of the systems which is sub part of data mining concept. For minimizing the risk of death we need to identify the diseases and do necessary preventions for these diseases at early stage. Random Forest, Naıve Bayes, K-Nearest Neighbors and Logistic Regression these are some machine learning algorithms which is used in detection or prediction the heart diseases at an early stage and we can reduces the risk of death using this type of techniques.

heart health , Machine learning , medical support , logistic regression

"ECG And Machine Learning Based Heart Disease Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.d471-d476, May-2023, Available :http://www.jetir.org/papers/JETIR2305366.pdf

"ECG And Machine Learning Based Heart Disease Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppd471-d476, May-2023, Available at : http://www.jetir.org/papers/JETIR2305366.pdf