Learning Difference Equations With Structured Grammatical Evolution for Postprandial Glycaemia Prediction
Author:
Affiliation:
1. Department of Computer Architecture and Automatics, Universidad Complutense de Madrid, Madrid, Spain
2. University of Applied Sciences of Upper Austria, Hagenberg, Austria
Funder
The Spanish Ministerio de Innovación Ciencia y Universidad
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6221020/10521573/10452805.pdf?arnumber=10452805
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4. Glucose forecasting using genetic programming and latent glucose variability features;Contador,2021
5. Ensemble models of cutting-edge deep neural networks for blood glucose prediction in patients with diabetes;Tena,2021
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1. HUPA-UCM diabetes dataset;Data in Brief;2024-08
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