Predictive Methodology for Diabetic Data Analysis in Big Data-Reference-Cited by-同舟云学术

Predictive Methodology for Diabetic Data Analysis in Big Data

Published:2015 Issue: Volume:50 Page:203-208
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

kumar N.M. Saravana,Eswari T.,Sampath P.,Lavanya S.

Publisher

Elsevier BV

Subject

General Engineering

Reference14 articles.

1. An Efficient Prediction Model for Diabetic Database Using Soft Computing Techniques,‖ Architecture;Bhat;Springer-Verlag Berlin Heidelberg,2009

2. Mohammed Gulam Ahamad, Mohammad Khubeb Siddiqui, —Application of data mining: Diabetes health care in young and old patients;Aljumah;Journal of King Saud University – Computer and Information Sciences,2012

3. Application of Data Mining Methods and Techniques for Diabetes Diagnosis;Rajesh;in International Journal of Engineering and Innovative Technology (IJEIT),2012

4. Analysis of Diabetic Data Set Using Hive and R;Sadhana;International Journal of Emerging Technology and Advanced Engineering,2014

5. Diabetes Patient's Risk through Soft Computing Model;Sabibullah;International Journal of Emerging Trends & Technology in Computer Science,2013

Cited by 111 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Diabetes Prediction Using Machine Learning and Flask;Biomedical and Pharmacology Journal;2024-06-25

2. Efficient Machine Learning Models for the Accurate Prediction of Diabetes;2024 International Conference on Science Technology Engineering and Management (ICSTEM);2024-04-26

3. Predicting Diabetes in Women through Machine Learning;2024 11th International Conference on Computing for Sustainable Global Development (INDIACom);2024-02-28

4. RETRACTED ARTICLE: Clarans & birch datamining techniques for disease diagnosis;Multimedia Tools and Applications;2024-02-14

5. A Comparative Analysis of Diabetes Prediction Using Machine Learning and Deep Learning Algorithms in Healthcare;2024 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC);2024-01-27