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A Machine Learning Approach for Blood Glucose Level Predict..:
, In:
Smart Technologies, Systems and Applications; Communications in Computer and Information Science
,
Gómez-Castillo, Nayeli Y.
;
Cajilima-Cardenaz, Pedro E.
;
Zhinin-Vera, Luis
... - p. 99-113 , 2022
Link:
https://doi.org/10.1007/978-3-030-99170-8_8
RT T1 <cTitle>Smart Technologies, Systems and Applications; Communications in Computer and Information Science</cTitle>: T1 <Title>A Machine Learning Approach for Blood Glucose Level Prediction Using a LSTM Network</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_978-3-030-99170-8_8&Exemplar=1&LAN=DE A1 Gómez-Castillo, Nayeli Y. A1 Cajilima-Cardenaz, Pedro E. A1 Zhinin-Vera, Luis A1 Maldonado-Cuascota, Belén A1 León Domínguez, Diana A1 Pineda-Molina, Gabriela A1 Hidalgo-Parra, Andrés A. A1 Gonzales-Zubiate, Fernando A. PB Springer International Publishing YR 2022 SP 99 OP 113 LK http://dx.doi.org/https://doi.org/10.1007/978-3-030-99170-8_8 DO https://doi.org/10.1007/978-3-030-99170-8_8 SF ELIB - SuUB Bremen
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