Data Mining Techniques in Diabetes Prediction and Diagnosis: A Review-Reference-Cited by-同舟云学术

Data Mining Techniques in Diabetes Prediction and Diagnosis: A Review

Published:2022-04-28 Issue: Volume: Page:
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Container-title:2022 6th International Conference on Trends in Electronics and Informatics (ICOEI)
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Author:

Anil Kavyasree S¹,Jain Richa¹

Affiliation:

1. School of computer science and engineering, Lovely professional university,Punjab,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9776594/9776641/09776754.pdf?arnumber=9776754

Reference28 articles.

1. Analysis of Data Mining and Soft Computing Techniques in Prospecting Diabetes Disorder In Human Beings: A Review ANALYSIS OF DATA MINING AND SOFT COMPUTING TECHNIQUES IN PROSPECTING DIABETES DISORDER IN HUMAN BEINGS: A REVIEW INTRODUCTION: Diabetes is a persistent metabolic and pancreas affected human disorder. the body;kaur;Due to excessive glucose in blood BSL millions of lives each year According to the WHO (World Health Organization) it was estimated that,2018

2. Application of Data Mining Techniques to Predict the Length of Stay of Hospitalized Patients with Diabetes

3. Data Mining Models Comparison for Diabetes Prediction

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