Open AccessDisease Prediction using Machine Learning
Author(s) -
G Magilan,
K Swaitha,
Sarath Vijay R,
Jona J. B
Publication year - 2022
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2022.41230
Subject(s) - naive bayes classifier , machine learning , grasp , random forest , computer science , artificial intelligence , python (programming language) , decision tree , disease , health care , medicine , software engineering , programming language , pathology , support vector machine , economics , economic growth
It is a system which provides the user the information and tricks to take care of the health system of the user and it provides how to search out the disease using this prediction. Now a day’s health industry plays major role in curing the diseases of the patients so this is often also some quite help for the health industry to inform the user and also it's useful for the user just in case he/she doesn’t want to travel to the hospital or the other clinics, so just by entering the symptoms and every one other useful information the user can get to grasp the disease he/she is affected by and also the health industry may also get enjoy this method by just asking the symptoms from the stoner and entering within the system and in only many seconds they'll tell the precise and over to some extent the accurate conditions. This Disease Prediction Using Machine Learning is totally through with the assistance of Machine Learning and Python programming language and also using the dataset that's available previously by the hospitals using that we are going to predict the diseases. Keywords: Prediction, Decision Tree, Random forest, Naive Bayes