Edge-Based Temporal Fusion Transformer for Multi-Horizon Blood Glucose Prediction
Author:
Affiliation:
1. Imperial College London,Centre for Bio-inspired Technology,London,United Kingdom
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10181241/10181318/10181448.pdf?arnumber=10181448
Reference32 articles.
1. Temporal Fusion Transformers for interpretable multi-horizon time series forecasting
2. Autoformer: Decomposition trans-formers with auto-correlation for long-term series forecasting;wu;Advances in neural information processing systems,2021
3. Multivariate Prediction of Subcutaneous Glucose Concentration in Type 1 Diabetes Patients Based on Support Vector Regression
4. IoMT-enabled real-time blood glucose prediction with deep learning and edge computing;zhu;IEEE Internet of Things Journal,2022
5. A Glucose-Specific Metric to Assess Predictors and Identify Models
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Population-Specific Glucose Prediction in Diabetes Care With Transformer-Based Deep Learning on the Edge;IEEE Transactions on Biomedical Circuits and Systems;2024-04
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