• N.S.R.K.PRASAD
• k.Anil Kumar

Now-a-days Healthcare is one of the most important industries in the world offering many advanced Value-Based Healthcare (VBHC) approaches for designing and managing healthcare systems. Machine Learning (ML) approaches in healthcare gives many powerful solutions for efficient diseases forecast, diagnosis, and treatments, improving the overall operations of healthcare. ML uses different strategists to deal with huge amount of healthcare data in order to provide improved healthcare services at lesser costs and enhance patient satisfaction. Heart disease is most severe diseases in the world and many humans are getting affected irrespective of their age. In India and in the world over the last few decades the death rate due to heart related diseases have increased more in number. Diagnosing of heart disease is a major issue observed in many human beings due to their change in life style and the disease need to be identified in advance So, there is a demand of consistent, perfect and realistic process to diagnose heart related diseases in time for appropriate treatment. Machine Learning algorithms and techniques can be applied to different medical datasets to mechanize the analysis of complex health care patient’s data. An efficient Machine learning algorithm finds patterns and grounds regarding data. In this paper we presented a machine learning model to identify the patient’s health status; monitors health, and suggests necessary steps to be taken in order to prevent heart disease. We considered supervised learning algorithms such as, Gaussian Naive Bayes, Decision Trees (DT), Support Vector Machines (SVM), Linear SVC, and Random Forest (RF) and classified the heart disease and data sets are downloaded from UCI repository site.

Keywords: Gaussian Naive Bayes, Decision Trees (DT), Support Vector Machines (SVM), Linear SVC and Random Forest (RF).

"A MACHINE LEARNING APPROACH FOR HEALTHCARE IN IDENTIFYING DISEASES ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.i288-i296, July-2023, Available :http://www.jetir.org/papers/JETIR2307837.pdf

"A MACHINE LEARNING APPROACH FOR HEALTHCARE IN IDENTIFYING DISEASES ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. ppi288-i296, July-2023, Available at : http://www.jetir.org/papers/JETIR2307837.pdf