Disease Prediction Using ML

Abstract

This paper includes productive AI calculations utilized in anticipating illness through indications. As the health industry has a gigantic measure of information for different fields along these lines, we need to make a system where we too can utilize different utilizations of AI on health industry. This all had been done to settle on the better clinical choices and furthermore to ascend in the exactness. As accurate analysis of the early prediction of disease helps in the patient care and the society services. These all challenges can be easier by the help of various tools, algorithms and framework provided by the machine learning. In addition to all these predictions, we are making a chatbot for all that where patients can add the symptoms that are helpful to predict the disease and also check the risk of heart disease status through the various information provided to system by the patients and the database obtained from UCI repository.

Keywords: Decision tree classification, logistic regression, Naive Bayes, NLTK, UCI repository

Cite this Article: Megha Gupta, Ruchika Gupta. Disease prediction using ML. International Journal of Data Structures. 2020; 6(1): 11–17p.