1
|
Rodriguez-Leon C, Aviles-Perez MD, Banos O, Quesada-Charneco M, Lopez-Ibarra Lozano PJ, Villalonga C, Munoz-Torres M. T1DiabetesGranada: a longitudinal multi-modal dataset of type 1 diabetes mellitus. Sci Data 2023; 10:916. [PMID: 38123598 PMCID: PMC10733323 DOI: 10.1038/s41597-023-02737-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 11/08/2023] [Indexed: 12/23/2023] Open
Abstract
Type 1 diabetes mellitus (T1D) patients face daily difficulties in keeping their blood glucose levels within appropriate ranges. Several techniques and devices, such as flash glucose meters, have been developed to help T1D patients improve their quality of life. Most recently, the data collected via these devices is being used to train advanced artificial intelligence models to characterize the evolution of the disease and support its management. Data scarcity is the main challenge for generating these models, as most works use private or artificially generated datasets. For this reason, this work presents T1DiabetesGranada, an open under specific permission longitudinal dataset that not only provides continuous glucose levels, but also patient demographic and clinical information. The dataset includes 257 780 days of measurements spanning four years from 736 T1D patients from the province of Granada, Spain. This dataset advances beyond the state of the art as one the longest and largest open datasets of continuous glucose measurements, thus boosting the development of new artificial intelligence models for glucose level characterization and prediction.
Collapse
Affiliation(s)
- Ciro Rodriguez-Leon
- University of Granada, Research Center for Information and Communication Technologies, Granada, 18014, Spain.
- University of Cienfuegos, Department of Computer Science, Cienfuegos, 55100, Cuba.
| | - Maria Dolores Aviles-Perez
- University Hospital Clínico San Cecilio, Endocrinology and Nutrition Unit, 18016, Granada, Spain
- Instituto de Salud Carlos III, CIBER on Frailty and Healthy Aging (CIBERFES), 28029, Madrid, Spain
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), 18014, Granada, Spain
| | - Oresti Banos
- University of Granada, Research Center for Information and Communication Technologies, Granada, 18014, Spain
| | - Miguel Quesada-Charneco
- University Hospital Clínico San Cecilio, Endocrinology and Nutrition Unit, 18016, Granada, Spain
| | - Pablo J Lopez-Ibarra Lozano
- University Hospital Clínico San Cecilio, Endocrinology and Nutrition Unit, 18016, Granada, Spain
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), 18014, Granada, Spain
| | - Claudia Villalonga
- University of Granada, Research Center for Information and Communication Technologies, Granada, 18014, Spain
| | - Manuel Munoz-Torres
- University Hospital Clínico San Cecilio, Endocrinology and Nutrition Unit, 18016, Granada, Spain.
- Instituto de Salud Carlos III, CIBER on Frailty and Healthy Aging (CIBERFES), 28029, Madrid, Spain.
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), 18014, Granada, Spain.
- University of Granada, Department of Medicine, Granada, 18016, Spain.
| |
Collapse
|