Joint Hypoglycemia Prediction and Glucose Forecasting via Deep Multi-Task Learning
Author:
Affiliation:
1. University of Texas at Dallas,Richardson,Texas,USA
2. Texas A&M University,College Station,Texas,USA
Funder
PATH
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09746129.pdf?arnumber=9746129
Reference19 articles.
1. Deep residual time-series forecasting: Application to blood glucose prediction;rubin-falcone;Proceedings of the 5th International Workshop on Knowledge Discovery in Healthcare Data co-located with 24th European Conference on Artificial Intelligence KDH ECAI,2020
2. Hypoglycemia Prediction Using Machine Learning Models for Patients With Type 2 Diabetes
3. Feature-based machine learning model for real-time hypoglycemia prediction;dave;Journal of Diabetes Science and Technology,2020
4. The ohiot1dm dataset for blood glucose level prediction: Update 2020;marling;CEUR Workshop Proceedings,2020
5. Hypoglycemia Prediction with Subject-Specific Recursive Time-Series Models
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5. Layered Meta-Learning Algorithm for Predicting Adverse Events in Type 1 Diabetes;IEEE Access;2023
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