Enhancing Diabetes Detection through a Hybrid AI Model Utilizing Wearable Technology-Reference-Cited by-同舟云学术

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Enhancing Diabetes Detection through a Hybrid AI Model Utilizing Wearable Technology

Published:2023-07-06 Issue: Volume: Page:
ISSN:
Container-title:2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)
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Author:

T A Mohanaprakash¹,S Selvakumaran²,Vinothini A.³,Nalinipriya G.⁴,M Therasa¹,Suresh P M⁵

Affiliation:

1. Panimalar Engineeering College,Department of CSE,Chennai,India

2. Rajalakshmi Institue of Technology,Department of AI and DS,Chennai,India

3. Vel Tech Multi Tech Dr Rangarajan Dr Sakunthala Engineering College,Department of CSE,Chennai,India

4. Saveetha Engineering College,Department of IT,Chennai,India

5. Sphoorthy Engineering College,Department of CSE,Hyderabad,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10306338/10306339/10308401.pdf?arnumber=10308401

Reference15 articles.

1. Comparative analysis of predictive machine learning algorithms for diabetes mellitus

2. Performance Comparison of Various Wireless Sensor Network Dataset using Deep Learning Classifications

3. A Deep Learning Based Human Activity Recognition System for Monitoring the Elderly People

4. Smart Wearable Systems for the Remote Monitoring of Venous and Diabetic Foot Ulcers: State of the Art

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