An enhanced ant colony optimization with Gini index for predicting type 2 diabetes-Reference-Cited by-同舟云学术

An enhanced ant colony optimization with Gini index for predicting type 2 diabetes

Published:2021 Issue: Volume: Page:
ISSN:0094-243X
Container-title:INTERNATIONAL UZBEKISTAN-MALAYSIA CONFERENCE ON “COMPUTATIONAL MODELS AND TECHNOLOGIES (CMT2020)”: CMT2020
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Author:

Anwar Nur Hadirah Khairul,Saian Rizauddin,Bakar Sumarni Abu

Publisher

AIP Publishing

Link

http://aip.scitation.org/doi/pdf/10.1063/5.0057315

Reference18 articles.

1. I. D. Federation, IDF Diabetes Atlas Ninth Edition (Brussels, Belgium:International Diabetes Federation, 2019).

2. 2020 vision – An overview of prospects for diabetes management and prevention in the next decade

3. A fuzzy classification system based on Ant Colony Optimization for diabetes disease diagnosis

4. S. Saru and S. Subashree, “Analysis and prediction of diabetes using machine learning,” International Journal of Emerging Technology and Innovative Engineering, 5 (2019).

5. Accuracy Improvement for Diabetes Disease Classification: A Case on a Public Medical Dataset

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