Prediction of Diabetes Disease Using Classification Techniques

Prediction of Diabetes Disease Using Classification Techniques
Author(s):
Peddineni Kalpana, Dr. B V V Siva Prasad
Keywords:
diabetes disease, classification techniques, data mining.
Abstract
Data mining is computational procedure of observing models in generous information sets counting schedules at connection reason behind man-made intellectual ability, AI, experiences, and information base systems. Various information mining procedures have been utilized by experts in finding of Diabetes illness. However applying information mining is valuable to medical services, sickness determination, and therapy, few explores have examined creating treatment plans for patients. The fundamental issue in the diabetes information grouping is just due to in adequate assets and information legitimate mining has not been finished. To eliminate the issue of the information mining in medical care appropriate information peculiarities must be pre-handled and excess should be eliminated from the dataset. This paper presents various classification techniques for the prediction of diabetes in the filed of data mining and also it gives predictive analysis with various data mining techniques.
Article Details
Unique Paper ID: 154016 Publication Volume & Issue: Volume 8, Issue 9 Page(s): 586 - 593
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