InsNET: Accurate Basal and Bolus Insulin Dose Prediction for Closed Loop Diabetes Management-Reference-Cited by-同舟云学术

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InsNET: Accurate Basal and Bolus Insulin Dose Prediction for Closed Loop Diabetes Management

Published:2023-07-24 Issue: Volume: Page:
ISSN:
Container-title:2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Kalita Deepjyoti¹,Mirza Khalid B.¹

Affiliation:

1. National Institute of Technology,Dept. of Bioetchnology and Medical Engineering,Rourkela,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10339936/10339939/10340480.pdf?arnumber=10340480

Reference11 articles.

1. New closed-loop insulin systems

2. Convolutional Recurrent Neural Networks for Glucose Prediction

3. GluNet: A Deep Learning Framework for Accurate Glucose Forecasting

4. The UVA/PADOVA Type 1 Diabetes Simulator

5. Application of Artificial Intelligence Techniques for the Estimation of Basal Insulin in Patients with Type I Diabetes

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