Gluformer: Transformer-Based Personalized Glucose Forecasting with Uncertainty Quantification

9 September 2022

Papers citing "Gluformer: Transformer-Based Personalized Glucose Forecasting with Uncertainty Quantification"

5 / 5 papers shown

Title
AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset Ebrahim Farahmand Reza Rahimi Azghan Nooshin Taheri Chatrudi Eric Kim Gautham Krishna Gudur Edison Thomaz Giulia Pedrielli Pavan Turaga Hassan Ghasemzadeh 60 3 0 14 Feb 2025
Generating Personalized Insulin Treatments Strategies with Deep Conditional Generative Time Series Models Manuel Schürch Xiang Li Ahmed Allam Giulia Rathmes Amina Mollaysa Claudia Cavelti-Weder Michael Krauthammer AI4TS 12 4 0 28 Sep 2023
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting Haoyi Zhou Shanghang Zhang J. Peng Shuai Zhang Jianxin Li Hui Xiong Wan Zhang AI4TS 161 3,799 0 14 Dec 2020
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 77 0 14 Jun 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015