Predicting Blood Glucose with an LSTM and Bi-LSTM Based Deep Neural Network
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Abstract (arXiv)
A deep learning network was used to predict future blood glucose levels, as this can permit diabetes patients to take action before imminent hyperglycaemia and hypoglycaemia. A sequential model with one long-short-term memory (LSTM) layer, one bidirectional LSTM layer and several fully connected layers was used to predict blood glucose levels for different prediction horizons. The method was trained and tested on 26 datasets from 20 real patients. The proposed network outperforms the baseline methods in terms of all evaluation criteria.
Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). First posted on arXiv 11 Sep 2018.
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Citing papers per year: 2021: 3; 2022: 0; 2023: 2; 2024: 1; 2025: 2; 2026: 1.
9 papers.
- 2024GlucoBench: Curated List of Continuous Glucose Monitoring Datasets with Prediction Benchmarkscited by 11
- 2025Diffusion Models for Time Series Forecasting: A Surveycited by 11
- 2021Stacked LSTM Based Deep Recurrent Neural Network with Kalman Smoothing for Blood Glucose Predictioncited by 8
- 2021Deep Personalized Glucose Level Forecasting Using Attention-based Recurrent Neural Networkscited by 7
- 2025Glycemic-Aware and Architecture-Agnostic Training Framework for Blood Glucose Forecasting in Type 1 Diabetescited by 5
- 2021A Critical Review of the state-of-the-art on Deep Neural Networks for Blood Glucose Prediction in Patients with Diabetescited by 0
- 2023MATURE-HEALTH: HEALTH Recommender System for MAndatory FeaTURE choicescited by 0
- 2023Learning Difference Equations with Structured Grammatical Evolution for Postprandial Glycaemia Predictioncited by 0
- 2026Evaluating Time-Series Foundation Models and Multimodal Dietary Context for CGM Forecastingcited by 0
- 2026Evaluating Time-Series Foundation Models and Multimodal Dietary Context for CGM Forecasting10 Sep 2026
- 2025Diffusion Models for Time Series Forecasting: A Survey19 Jul 2025
- 2025Glycemic-Aware and Architecture-Agnostic Training Framework for Blood Glucose Forecasting in Type 1 Diabetes20 Feb 2025
- 2024GlucoBench: Curated List of Continuous Glucose Monitoring Datasets with Prediction Benchmarks8 Oct 2024
- 2023Learning Difference Equations with Structured Grammatical Evolution for Postprandial Glycaemia Prediction3 Jul 2023
- 2023MATURE-HEALTH: HEALTH Recommender System for MAndatory FeaTURE choices1 Apr 2023
- 2021A Critical Review of the state-of-the-art on Deep Neural Networks for Blood Glucose Prediction in Patients with Diabetes2 Sep 2021
- 2021Deep Personalized Glucose Level Forecasting Using Attention-based Recurrent Neural Networks2 Jun 2021
- 2021Stacked LSTM Based Deep Recurrent Neural Network with Kalman Smoothing for Blood Glucose Prediction18 Jan 2021