EventsThe 11th International Electronic Conference on Sensors and Applications
Event submissions
Published
with-doi10.3390/ecsa-11-20513
This submission belongs to the session S9. Student Session of the event The 11th International Electronic Conference on Sensors and Applications
Published date
26 Nov, 2024
Academic Editor
author-avatarStefano Mariani
Citation
Cleber Carvalho, Zilu Liang, Glucose Prediction with Long Short-Term Memory (LSTM) Models on Three Distinct Populations, in Proceedings of The 11th International Electronic Conference on Sensors and Applications, 26 November–28 November 2024, MDPI: Basel, Switzerland, doi: 10.3390/ecsa-11-20513
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Glucose Prediction with Long Short-Term Memory (LSTM) Models on Three Distinct Populations

Cleber Carvalho 1
image
Zilu Liang 1
1. Kyoto University of Advanced Science
Abstract
Keywords
Continuous glucose monitoring
glucose prediction
machine learning
deep learning
LSTM
Prediabetes
T1D
T2D}
Manuscript
engproc-sciforum_100470_S9.pdf
Poster
ECSA_2024_Glucose_Prediction_with_Long_Short-Term_Memory_(LSTM)_Models_on_Three_Distinct_Populations.pdf
ECSA_2024_Glucose_Prediction_with_Long_Short-Term_Memory_(LSTM)_Models_on_Three_Distinct_Populations.pdf