A Widespread Study of Diabetes Prediction Using Several Machine Learning Techniques-Reference-Cited by-同舟云学术

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A Widespread Study of Diabetes Prediction Using Several Machine Learning Techniques

Published:2019-12 Issue: Volume: Page:
ISSN:
Container-title:2019 22nd International Conference on Computer and Information Technology (ICCIT)
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Author:

Saha Protap Kumar,Patwary Nazmus Sakib,Ahmed Ifthakhar

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9033488/9038170/09038559.pdf?arnumber=9038559

Cited by 16 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. An evaluation framework for diabetes prediction techniques using machine learning;BIO Web of Conferences;2024

2. A Comprehensive Analysis and Comparative Insights for Developing Diabetes Prediction Models;2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON);2023-12-29

3. Predictive Method for Diabetes using Machine Learning;2023 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS);2023-11-03

4. A Comparison of Machine Learning Techniques for the Detection of Type-2 Diabetes Mellitus: Experiences from Bangladesh;Information;2023-07-02

5. Diabetes Prediction Using Bi-directional Long Short-Term Memory;SN Computer Science;2023-05-03

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