Diabetes prediction using Data mining Classification Techniques

Diabetes is one of the second largest disease in the world. In the recent survey it shows that there are overall 246 million people affected with this and in that women ratio is more. By the report of WHO, this figure is going to reach to 380 million by 2025. According to the American Diabetes Assoc...

Full description

Saved in:
Bibliographic Details
Published inInternational journal of recent technology and engineering Vol. 8; no. 3; pp. 5901 - 5905
Main Authors M, Manjusree, Kumar, K.A . Sateesh
Format Journal Article
LanguageEnglish
Published 30.09.2019
Online AccessGet full text

Cover

More Information
Summary:Diabetes is one of the second largest disease in the world. In the recent survey it shows that there are overall 246 million people affected with this and in that women ratio is more. By the report of WHO, this figure is going to reach to 380 million by 2025. According to the American Diabetes Association,6% of the population are not aware that there are victims of diabetes and also every 21 sec at least for an individual diabetic test result is positive. With the technology advancement in the field of medical information, data is well maintained in the databases. This paper focuses on to diagnose data to provide the solution by observing the patterns in the data using various datamining classification techniques such as Naïve basis, Logistic regression, Decision tress etc.
ISSN:2277-3878
2277-3878
DOI:10.35940/ijrte.C4735.098319