Stacked LSTM Based Deep Recurrent Neural Network with Kalman Smoothing for Blood Glucose Prediction

18 January 2021

Papers citing "Stacked LSTM Based Deep Recurrent Neural Network with Kalman Smoothing for Blood Glucose Prediction"

7 / 7 papers shown

Title
A Comparative Study of Transformer-Based Models for Multi-Horizon Blood Glucose Prediction Meryem Altin Karagoz Marc D. Breton Anas El Fathi AI4TS 26 0 0 12 May 2025
Hybrid Attention Model Using Feature Decomposition and Knowledge Distillation for Glucose Forecasting Ebrahim Farahmand Shovito Barua Soumma Nooshin Taheri Chatrudi Hassan Ghasemzadeh 31 2 0 16 Nov 2024
MATURE-HEALTH: HEALTH Recommender System for MAndatory FeaTURE choices Ritu Shandilya Sugam Sharma Johnny S. Wong 15 0 0 01 Apr 2023
Machine Learning based prediction of Glucose Levels in Type 1 Diabetes Patients with the use of Continuous Glucose Monitoring Data Jakub J Dylag 20 0 0 24 Feb 2023
Application of Long Short-Term Memory Recurrent Neural Networks Based on the BAT-MCS for Binary-State Network Approximated Time-Dependent Reliability Problems W. Yeh 9 3 0 16 Feb 2022
DeepFakes: Detecting Forged and Synthetic Media Content Using Machine Learning S. Zobaed Md Fazle Rabby Md Istiaq Hossain E. Hossain Sazib Hasan Asif Karim Khan Md. Hasib AAML 43 14 0 07 Sep 2021
Deep Multi-Output Forecasting: Learning to Accurately Predict Blood Glucose Trajectories Ian Fox Lynn Ang M. Jaiswal R. Pop-Busui Jenna Wiens OOD AI4TS 62 78 0 14 Jun 2018