Non-invasive Diabetes Mellitus Detection System using Machine Learning Techniques-Reference-Cited by-同舟云学术

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Non-invasive Diabetes Mellitus Detection System using Machine Learning Techniques

Published:2021-01-28 Issue: Volume: Page:
ISSN:
Container-title:2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence)
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Author:

Prabha Anju¹,Yadav Jyoti¹,Rani Asha¹,Singh Vijander¹

Affiliation:

1. University of Delhi,Netaji Subhas Institute of Technology,dept. Instrumentation and Control Engineering,New Delhi,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9377009/9376876/09377138.pdf?arnumber=9377138

Cited by 15 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. FPGA Implementation of PPG-Based Cardiovascular Diseases and Diabetes Classification Algorithm;Arabian Journal for Science and Engineering;2024-06-11

2. Intelligent Wearable Systems: Opportunities and Challenges in Health and Sports;ACM Computing Surveys;2024-04-09

3. Cloud-Based Remote Monitoring and Management for Diabetic Patient Healthcare;2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT);2024-03-15

4. Designing a wearable IoT-based bladder level monitoring system for neurogenic bladder patients;European Journal of Information Systems;2023-11-26

5. Type2 Diabetes Classification from Short Photoplethysmogram Signal Using Multiple Domain Features and Machine Learning Techniques;Research on Biomedical Engineering;2023-06-22

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