• Yadav Shivam Kumar Arvind Kumar Lalmani
• Shreyash Sanjay Narvekar
• Brijesh Bansharaj Pal
• Arhama Najmul Kalam Ansari
• Dr. Hasib Shaikh

Healthcare prediction has been a significant factor in saving lives in recent years. In the domain of health care, there is a rapid development of intelligent systems for analyzing complicated data relationships and transforming them into real information for use in the prediction process. Healthcare predictive analytics has become an indispensable tool in modern medicine, offering a proactive approach to disease detection and management. algorithms for effective prediction of various disease occurrences in disease-frequent societies. Therefore, diseases must be accurately predicted and estimated. Hence, reliable and efficient methods for healthcare predictive analysis are essential. The extensive growth in data for monitoring and analyzing the patients outcomes in predicting and diagnosis of chronic diseases lacks in traditional methods and are replaced by technologies to gather the most relevant insights from the medical data by using predictive analytics with very useful tool of machine learning. Healthcare predictive analytics for disease diagnosis has emerged as a transformative approach in modern medicine, facilitating early detection, accurate prognosis, and personalized treatment strategies.

Predictive Analytics; Machine Learning; Health Care; Prediction Algorithms and Techniques.

"HEALTHCARE PREDICTIVE ANALYTICS FOR DISEASES DIAGNOSIS ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.f260-f269, April-2024, Available :http://www.jetir.org/papers/JETIR2404532.pdf

"HEALTHCARE PREDICTIVE ANALYTICS FOR DISEASES DIAGNOSIS ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppf260-f269, April-2024, Available at : http://www.jetir.org/papers/JETIR2404532.pdf