Early-Stage Diabetes Risk Prediction Using Supervised Machine Learning Algorithms-Reference-Cited by-同舟云学术

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Early-Stage Diabetes Risk Prediction Using Supervised Machine Learning Algorithms

Published:2023-11-24 Issue: Volume:2 Page:1-7
ISSN:
Container-title:2023 2nd International Conference on Futuristic Technologies (INCOFT)
language:
Short-container-title:

Author:

Islam Taminul¹,Sadik Md Rezwane²,Islam Md. Fajle Rabbi¹,Mona Tanzina Rahman¹,Rahman Tanjila³,Foysal Md. Musfiqur Rahman¹

Affiliation:

1. Daffodil International University,Department of Computer Science and Engineering,Dhaka,Bangladesh

2. University of South Dakota,Department of Economics & Decision Sciences,Vermillion,SD,USA

3. American International University Of Bangladesh,Department of Computer Science,Dhaka,Bangladesh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10424959/10424987/10425305.pdf?arnumber=10425305

Reference24 articles.

1. Hybrid stacked ensemble combined with genetic algorithms for diabetes prediction

2. Information Engineering and Electronic Business;Islam Ayon;Information Engineering and Electronic Business,2019

3. Diabetes Prediction using Machine Learning Algorithms

4. Data mining approaches for type 2 diabetes mellitus prediction using anthropometric measurements

5. Diabetes prediction using supervised machine learning

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