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
Article Preview & Download


Share This Article

Conference Alert

NCSST-2021

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2021

SWEC- Management

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2021

Go To Issue



Call For Paper

Volume 8 Issue 4

Last Date 25 September 2021

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies