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Paper Title : Diabetes Prediction Using Data Mining

ISSN : 2395-1303
Year of Publication : 2021
10.29126/23951303/IJET-V7I3P1

Authors: Prof.Prashant Ahire,Mr.Suraj Kshirsagar,Mr.Saurabh Chauhan,Mr.Sandesh Kolhe,Mr.Vaibhav Chavan

         


Abstract
- This research paper and project was conducted on the design and implementation of a diabetes prediction system, a case study of Fudawa Health Centre. This research will help in prediction of diabetes even before we specifically check for diabetes clinicals. The current protransparent. The cess of carrying this activity is manually which tends not to analyze data flexible for the doctors, and transmission of information is in prediction system was designed using Programming Language the existing system was taking in order to meets the demands of this system Python and MySQL (Microsoft Structured Query at Language) as the back end and a strategic approach to analyze and solve the problems of the existing system by implementing the naïve bayes classifier. The implementation of this new system will help to reduce the stressful process, doctors’ face during prediction of diabetes, the result of the experiment shows that the propose better prediction in terms of accuracy.

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Keywords
- Diabetes , Machine Learning ,. Predict Dataset.