ArticleScientific data2023
Chinese diabetes datasets for data-driven machine learning.
Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Article
- Glycemic Variability Bridges Time in Range and Time in Tight Range: A Unified Equation for Both Type 1 and Type 2 Diabetes Based on Large-Scale Continuous Glucose Monitoring Data.Diabetes, obesity & metabolism · 2026Article
- Chinese Food Images for Full-cycle Nutrition Analysis Towards Diabetes Management.Scientific data · 2026Article
- Glucose forecasting and hypoglycemia forewarning in type 1 and type 2 diabetes using deep learning.iScience · 2026Article
- Multimodal dataset on glucose interpretation, treatment decisions and smartwatch visualisation for type 1 diabetes.Scientific data · 2026Article
- A Sophisticated Onscreen Smart Framework for Predicting Diabetes in Remote Healthcare.Diagnostics (Basel, Switzerland) · 2026Article
- Article
- Interpretable glucose forecasting for type 2 diabetes across traditional, deep, and large language models.Scientific reports · 2025Article
- Generalized multi task learning framework for glucose forecasting and hypoglycemia detection using simulation to reality.NPJ digital medicine · 2025Article
- CGMacros: a pilot scientific dataset for personalized nutrition and diet monitoring.Scientific data · 2025Article
- Predicting postprandial glucose excursions to personalize dietary interventions for type-2 diabetes management.Scientific reports · 2025Article
- A pretrained transformer model for decoding individual glucose dynamics from continuous glucose monitoring data.National science review · 2025Article
- Request of endocrinology and metabolism journals for data sharing statements in clinical trial reports: a survey.Frontiers in medicine · 2025Article
- Intelligent glucose management in hospitalized patients: Short-term glucose and adverse events prediction.PloS one · 2025Article
- A new multivariate blood glucose prediction method with hybrid feature clustering and online transfer learning.Health information science and systems · 2024Article
- T1DiabetesGranada: a longitudinal multi-modal dataset of type 1 diabetes mellitus.Scientific data · 2023Article
- Publicly Available Data Set Including Continuous Glucose Monitoring Data.Journal of diabetes science and technology · 2023Article
- DiabeticSense: A Non-Invasive, Multi-Sensor, IoT-Based Pre-Diagnostic System for Diabetes Detection Using Breath.Journal of clinical medicine · 2023Article
- Application of Machine Learning Algorithms to Predict Uncontrolled Diabetes Using the All of Us Research Program Data.Healthcare (Basel, Switzerland) · 2023Article
- Heterogeneous temporal representation for diabetic blood glucose prediction.Frontiers in physiology · 2023Article
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Authors and funding
11 authors.
Funding
Abstract
Data of the diabetes mellitus patients is essential in the study of diabetes management, especially when employing the data-driven machine learning methods into the management. To promote and facilitate the research in diabetes management, we have developed the ShanghaiT1DM and ShanghaiT2DM Datasets and made them publicly available for research purposes. This paper describes the datasets, which was acquired on Type 1 (n = 12) and Type 2 (n = 100) diabetic patients in Shanghai, China. The acquisition has been made in real-life conditions. The datasets contain the clinical characteristics, laboratory measurements and medications of the patients. Moreover, the continuous glucose monitoring readings with 3 to 14 days as a period together with the daily dietary information are also provided. The datasets can contribute to the development of data-driven algorithms/models and diabetes monitoring/managing technologies.
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