International Journal Of Engineering Technology And Management Sciences

AUTHOR(S)

Dr. K. Suresh Babu, Dr.G.Murali, Paul John Maddala

DOI: https://doi.org/10.46647/ijetms.2023.v07i01.028

ABSTRACT
With today's lifestyle, heart disease and diabetes are two of the most frequent chronic diseases that have become a mainstream health issue. It is critical to recognise the signs and treat the sickness as soon as possible. Machine learning is utilised in a variety of applications. It is a process of determining a vast number of pre-existing data in order to generate new data. In the health-care system, Machine learning is critical for predicting illness based on symptoms and classifying diseases such as diabetes and heart disease. The primary goal of Machine learning in the health-care system is to develop a new automated tool for identifying and disseminating relevant health-care data. Various attributes are given into the system here.

Page No: 199 - 203

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How to Cite This Article:
Dr. K. Suresh Babu, Dr.G.Murali, Paul John Maddala. Smart Health Care Implementation Using Naïve Bayes Algorithm . ijetms;7(1):199-203. DOI: 10.46647/ijetms.2023.v07i01.028