• Anand Vishwas Jadhav
• Assoc. Prof. Sukhwinder K. Bhatia
• Adesh Pradip Jadhav
• Adarsh Hari Lohar

With the rapid advancement of technology and data, the healthcare sector is currently one of the most important study areas. Managing the vast amount of patient data is challenging. Big Data Analytics makes handling this data simpler. There are numerous methods used all around the world to cure various ailments. A new method that aids in disease detection and prediction is machine learning. In this study, machine learning is used to predict disease based on symptoms. On the presented dataset, machine learning algorithms like Naive Bayes, Decision Tree, and Random Forest are used to forecast the disease. Using the use of the Python programming language, it is implemented.

"Heart Disease Prediction System Using Machine Learning Techniques. ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.c614-c619, May-2023, Available :http://www.jetir.org/papers/JETIR2305289.pdf

"Heart Disease Prediction System Using Machine Learning Techniques. ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppc614-c619, May-2023, Available at : http://www.jetir.org/papers/JETIR2305289.pdf