aalto1 untyped-item.component.html
Chinese diabetes datasets for data-driven machine learning
Loading...
Access rights
openAccess
publishedVersion
URL
Journal Title
Journal ISSN
Volume Title
Data Article
This publication is imported from Aalto University research portal.
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
Unless otherwise stated, all rights belong to the author. You may download, display and print this publication for Your own personal use. Commercial use is prohibited.
Date
Department
Major/Subject
Mcode
Degree programme
Language
en
Pages
Series
Scientific Data, Volume 10, issue 1
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.
Description
Funding Information: This work was supported by the National Natural Science Foundation of China (Grant No. 61972286, 82070913), the Shanghai Municipal Science and Technology Major Project (2021SHZDZX0100), the Natural Science Foundation of Shanghai, China (Grant No. 20ZR1460500, 22511104300), the Shanghai Science and Technology Development Funds (Grant No. 20ZR1446000, 22410713200), the Fundamental Research Funds for the Central Universities and the Research fund from Shanghai Fourth People’s Hospital (sykyqd01801, SY-XKZT-2021-1001). Finally, thanks Ms. Xiongbaixue Yan for her previous efforts on the management of the project. Publisher Copyright: © 2023, The Author(s).
Keywords
Other note
Citation
Zhao, Q, Zhu, J, Shen, X, Lin, C, Zhang, Y, Liang, Y, Cao, B, Li, J, Liu, X, Rao, W & Wang, C 2023, 'Chinese diabetes datasets for data-driven machine learning', Scientific Data, vol. 10, no. 1, 35. https://doi.org/10.1038/s41597-023-01940-7