Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Study of Short-Term Personalized Glucose Predictive Models on Type-1
  Diabetic Children   Research in diabetes, especially when it comes to building data-driven models
to forecast future glucose values, is hindered by the sensitive nature of the
data. Because researchers do not share the same data between studies, progress
is hard to assess. This paper aims at comparing the most promising algorithms
in the field, namely Feedforward Neural Networks (FFNN), Long Short-Term Memory
(LSTM) Recurrent Neural Networks, Extreme Learning Machines (ELM), Support
Vector Regression (SVR) and Gaussian Processes (GP). They are personalized and
trained on a population of 10 virtual children from the Type 1 Diabetes
Metabolic Simulator software to predict future glucose values at a prediction
horizon of 30 minutes. The performances of the models are evaluated using the
Root Mean Squared Error (RMSE) and the Continuous Glucose-Error Grid Analysis
(CG-EGA). While most of the models end up having low RMSE, the GP model with a
Dot-Product kernel (GP-DP), a novel usage in the context of glucose prediction,
has the lowest. Despite having good RMSE values, we show that the models do not
necessarily exhibit a good clinical acceptability, measured by the CG-EGA. Only
the LSTM, SVR and GP-DP models have overall acceptable results, each of them
performing best in one of the glycemia regions.

13
The categories of this paper are: quant-ph
7
The categories of this paper are: hep-th
35
The categories of this paper are: mtrl-th
24
The categories of this paper are: dg-ga
17
The categories of this paper are: q-fin
18
The categories of this paper are: econ
0
The categories of this paper are: hep-ph
28
The categories of this paper are: alg-geom
8
The categories of this paper are: hep-ex
2
The categories of this paper are: math
36
The categories of this paper are: cmp-lg
34
The categories of this paper are: chem-ph
3
The categories of this paper are: physics
26
The categories of this paper are: bayes-an
15
The categories of this paper are: nucl-ex
9
The categories of this paper are: nlin