A design of patient health predication system based on naïve bayes and decision tree algorithm on data mining

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• Create Date 29 July, 2025
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Authors : Amol pisode ,Diksha Bhambore , Shankar Pawar ,Prof.  Rahul Shahane

Abstract:    One of the rapid growing fields is health care area. The medical industries have big amount of data set collections about patient details, diagnosis and medications. To turns these information is into useful pattern and to predicting coming up trends data mining approaches are preowned in health care industries. The healthcare industry collects huge amount of healthcare data which are not “mined” to find out private information. The medical area come crossways with new treatments and medicine every day. The healthcare industries should provide best diagnosis and therapy to the patients to attain better quality of service. This paper explores different data mining techniques which are used in medicine field for good decision making. Data mining is one of the most motivating area of research that is most useful in medical field like health prediction with using some data mining algorithms. Online Health   Prediction System   is an end user support and online consolation project.  It might have happened so many times that you need doctor   help immediately, but they are not available due to some reason, that time this system is used. Here we propose a system that allows users to get instant guidance on their health issue   through an intelligent health   care system .Here we use some intelligent data mining technique to guess the most accurate illness could be associated with patients’ symptoms .User can talk about their illness  and get instant diagnosis. User can search for doctors help at any point of time .  Doctor get more clients online