A Novel Machine Learning Technique for Diabetic Prediction in IoT-based Healthcare Monitoring System-Reference-Cited by-同舟云学术

A Novel Machine Learning Technique for Diabetic Prediction in IoT-based Healthcare Monitoring System

Published:2023-06-14 Issue: Volume: Page:
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Container-title:2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS)
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Author:

Jesuraj S Aravinth Vijay¹,Ganesh R.²,Manjramkar Vinda³,Sridharan M.⁴,Dubey Vivek Ravishankar⁵,Arun M. R.⁶

Affiliation:

1. Nirmala College of Health Science, Poolani-Puzhpagiri Rd,Department of Pharmacy Practice,Meloor,Kerala,India

2. Institute of Aeronautical Engineering,Department of Computer Science and Engineering (AI &ML),Hyderabad,Telangana,India

3. B.N.Bandodkar College of Science(Autonomous),Thane west,Maharashtra,India

4. NPR College of Engineering and Technology, Natham,Department of Science and Humanities,Dindigul Dist,Tamil Nadu,India,624401

5. Bharat Institute of Engg & Tech (BIET),Department of Computer Science and Engineering,Hyderabad,Telangana,India

6. Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology,Department of ECE,Chennai,Tamil Nadu,India

Publisher

IEEE

Link

Reference16 articles.

4. K-Nearest Neighbor Learning based Diabetes Mellitus Prediction and Analysis for eHealth Services;sarker;European Union Digital Library,2020

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2. Enhancing Disease Prediction in Healthcare: A Comparative Analysis of PSO and Extreme Learning Approach;2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA);2023-12-21

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4. Automatic Saline Monitoring System Using IoT;2023 IEEE International Carnahan Conference on Security Technology (ICCST);2023-10-11