Early Prediction of Diabetes Mellitus Using Machine Learning-Reference-Cited by-同舟云学术

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Early Prediction of Diabetes Mellitus Using Machine Learning

Published:2020-06 Issue: Volume: Page:
ISSN:
Container-title:2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)
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Author:

Tripathi Gaurav,Kumar Rakesh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9190003/9197760/09197832.pdf?arnumber=9197832

Cited by 35 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. SMOTE-Based deep network with adaptive boosted sooty for the detection and classification of type 2 diabetes mellitus;Multimedia Tools and Applications;2024-09-11

2. Breaking Boundaries: Harnessing the Power of Deep Learning Model Design to Predict Diabetes with Artificial Intelligence Assisted Prediction Strategy;2023 4th International Conference on Intelligent Technologies (CONIT);2024-06-21

3. Diabetes Prediction Using Gaussian Naive Bayes and Artificial Neural Network;2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT);2024-03-15

4. Diabetes prediction model for unbalanced community follow-up data set based on optimal feature selection and scorecard;DIGITAL HEALTH;2024-01

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

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