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Convolutional Recurrent Neural Networks for Glucose Prediction

Convolutional Recurrent Neural Networks for Glucose Prediction

9 July 2018
Kezhi Li
J. Daniels
Chengyuan Liu
P. Herrero
Pantelis Georgiou
    BDL
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Papers citing "Convolutional Recurrent Neural Networks for Glucose Prediction"

18 / 18 papers shown
Title
Hybrid Attention Model Using Feature Decomposition and Knowledge Distillation for Glucose Forecasting
Ebrahim Farahmand
Shovito Barua Soumma
Nooshin Taheri Chatrudi
Hassan Ghasemzadeh
39
2
0
16 Nov 2024
GlucoBench: Curated List of Continuous Glucose Monitoring Datasets with
  Prediction Benchmarks
GlucoBench: Curated List of Continuous Glucose Monitoring Datasets with Prediction Benchmarks
Renat Sergazinov
Elizabeth Chun
Valeriya Rogovchenko
Nathaniel Fernandes
Nicholas Kasman
I. Gaynanova
AI4TS
32
3
0
08 Oct 2024
FedGlu: A personalized federated learning-based glucose forecasting
  algorithm for improved performance in glycemic excursion regions
FedGlu: A personalized federated learning-based glucose forecasting algorithm for improved performance in glycemic excursion regions
Darpit Dave
Kathan Vyas
Jagadish K. Jayagopal
Alfredo Garcia
M. Erraguntla
Mark Lawley
FedML
31
0
0
25 Aug 2024
R2GenCSR: Retrieving Context Samples for Large Language Model based
  X-ray Medical Report Generation
R2GenCSR: Retrieving Context Samples for Large Language Model based X-ray Medical Report Generation
Xiao Wang
Yuehang Li
Fuling Wang
Shiao Wang
Chuanfu Li
Bo Jiang
MedIm
44
6
0
19 Aug 2024
CrossGP: Cross-Day Glucose Prediction Excluding Physiological
  Information
CrossGP: Cross-Day Glucose Prediction Excluding Physiological Information
Ziyi Zhou
Ming Cheng
Yanjun Cui
Xingjian Diao
Zhaorui Ma
34
3
0
16 Apr 2024
Learning Difference Equations with Structured Grammatical Evolution for
  Postprandial Glycaemia Prediction
Learning Difference Equations with Structured Grammatical Evolution for Postprandial Glycaemia Prediction
Daniel Parra
David Joedicke
J. M. Velasco
G. Kronberger
J. I. Hidalgo
13
3
0
03 Jul 2023
DiaTrend: A dataset from advanced diabetes technology to enable
  development of novel analytic solutions
DiaTrend: A dataset from advanced diabetes technology to enable development of novel analytic solutions
T. Prioleau
Abigail Bartolome
R. Comi
C. Stanger
11
10
0
04 Apr 2023
Long Short-term Cognitive Networks
Long Short-term Cognitive Networks
Gonzalo Nápoles
Isel Grau
A. Jastrzębska
Yamisleydi Salgueiro
AI4TS
16
8
0
30 Jun 2021
RECOWNs: Probabilistic Circuits for Trustworthy Time Series Forecasting
RECOWNs: Probabilistic Circuits for Trustworthy Time Series Forecasting
Nils Thoma
Zhongjie Yu
Fabrizio G. Ventola
Kristian Kersting
UQCV
TPM
AI4TS
16
5
0
08 Jun 2021
Stacked LSTM Based Deep Recurrent Neural Network with Kalman Smoothing
  for Blood Glucose Prediction
Stacked LSTM Based Deep Recurrent Neural Network with Kalman Smoothing for Blood Glucose Prediction
Md Fazle Rabby
Yazhou Tu
Md. Imran Hossen
Insup Lee
Anthony Maida
X. Hei
32
114
0
18 Jan 2021
Enhancing the Interpretability of Deep Models in Heathcare Through
  Attention: Application to Glucose Forecasting for Diabetic People
Enhancing the Interpretability of Deep Models in Heathcare Through Attention: Application to Glucose Forecasting for Diabetic People
Maxime De Bois
M. El-Yacoubi
M. Ammi
11
5
0
08 Sep 2020
Interpreting Deep Glucose Predictive Models for Diabetic People Using
  RETAIN
Interpreting Deep Glucose Predictive Models for Diabetic People Using RETAIN
Maxime De Bois
M. El-Yacoubi
M. Ammi
6
3
0
08 Sep 2020
A novel hand-held interface supporting the self-management of Type 1
  diabetes
A novel hand-held interface supporting the self-management of Type 1 diabetes
R. Spence
Chukwuma Uduku
Kezhi Li
N. Oliver
Pantelis Georgiou
23
2
0
08 Aug 2020
GLYFE: Review and Benchmark of Personalized Glucose Predictive Models in
  Type-1 Diabetes
GLYFE: Review and Benchmark of Personalized Glucose Predictive Models in Type-1 Diabetes
Maxime De Bois
M. Ammi
M. El-Yacoubi
OOD
19
27
0
29 Jun 2020
Basal Glucose Control in Type 1 Diabetes using Deep Reinforcement
  Learning: An In Silico Validation
Basal Glucose Control in Type 1 Diabetes using Deep Reinforcement Learning: An In Silico Validation
Taiyu Zhu
Kezhi Li
P. Herrero
Pantelis Georgiou
24
79
0
18 May 2020
Short Term Blood Glucose Prediction based on Continuous Glucose
  Monitoring Data
Short Term Blood Glucose Prediction based on Continuous Glucose Monitoring Data
Ali Mohebbi
Alexander R. Johansen
Nicklas Hansen
Peter Ebert Christensen
J. Tarp
M. L. Jensen
Henrik Bengtsson
Morten Mørup
6
23
0
06 Feb 2020
A Dual-Hormone Closed-Loop Delivery System for Type 1 Diabetes Using
  Deep Reinforcement Learning
A Dual-Hormone Closed-Loop Delivery System for Type 1 Diabetes Using Deep Reinforcement Learning
Taiyu Zhu
Kezhi Li
Pantelis Georgiou
OffRL
19
8
0
09 Oct 2019
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,238
0
24 Jun 2017
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