Design and Implementation of Low- cost Diabetes Level Prediction using Machine Learning
Author:
Affiliation:
1. Manakula Vinayagar Institute of Technology,Department of Electronic and communication Engineering,Puducherry,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10394675/10394687/10395480.pdf?arnumber=10395480
Reference8 articles.
1. Precise Detection and Quantitative Prediction of Blood Glucose Level With an Electronic Nose System
2. Fuzzy Logic-Based Driven Model for Detection and Prediction of Diabetes Mellitus Type 2
3. IoMT-Enabled Real-Time Blood Glucose Prediction With Deep Learning and Edge Computing
4. The Strategies to Reduce Healthcare Costs and Increase the Quality of Healthcare Service Delivery Using Hybrid Technologies
5. ML based Non-Invasive Diabetes Detection System using Pulse Decomposition Analysis of PPG Signal
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