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Smart health prediction using machine learning.

Authors :
Prasad, Ch. Rajendra
Shivapriya, Pillalamarri
Bhargavi, Naragani
Ravula, Nagaraj
Sripathi, Supraja Lakshmi Devi
Kollem, Sreedhar
Source :
AIP Conference Proceedings. 2024, Vol. 3072 Issue 1, p1-8. 8p.
Publication Year :
2024

Abstract

Now-a-days, Health care industries are literally playing a major role in curing the diseases that are suffering the people. And this will be one kind of help to health care industries. In present days, people are facing lot of issues related to their health due to their life style and their livelihood. Due to their busy schedule in their lives, people are not at all taking care of their health. They are not having the time to consult doctors and know what they are going through and it may lead to severe risk for them. So, People should be aware of what they are going through at early stage will reduce the high risk. In our proposed system we used logistic regression, Random Forest Classifier and Decision tree classifier in prediction of the disease. Disease Prediction is a supervised model that is used for prediction of diseases from the symptoms or the information provides by the user. This proposed system will process the symptoms entered by the user and provide the predicted disease as an output. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0094243X
Volume :
3072
Issue :
1
Database :
Academic Search Index
Journal :
AIP Conference Proceedings
Publication Type :
Conference
Accession number :
176127516
Full Text :
https://doi.org/10.1063/5.0198888