|
|
|
|
|
Edgar Acuna, Roxana Aparicio and Velcy Palomino
In this paper we investigate the effect of two preprocessing techniques, data imputation and smoothing, in the prediction of blood glucose level in type 1 diabetes patients, using a novel deep learning model called Transformer. We train three models: XGB...
ver más
|
|
|
|
|
|
|
|
|
|
|
Adriana Patricia Yepes Quintero, Monia Agudelo-López, Carlos González-Vargas, Edgar Mora-Rodríguez, María Chaux-Echeverri, Lucio Santos-Acuña, José Carlos Fernández-Ugalde
Pág. 104 - 119
|
|
|
|
|
|