A cohort study on the predictive capability of body composition for diabetes mellitus using machine learning
Article
Article Title | A cohort study on the predictive capability of body composition for diabetes mellitus using machine learning |
---|---|
ERA Journal ID | 210851 |
Article Category | Article |
Authors | Nematollahi, Mohammad Ali, Askarinejad, Amir, Asadollahi, Arefeh, Bazrafshan, Mehdi, Sarejloo, Shirin, Moghadami, Mana, Sasannia, Sarvin, Farjam, Mojtaba, Homayounfar, Reza, Pezeshki, Babak, Amini, Mitra, Roshanzamir, Mohamad, Alizadehsani, Roohallah, Bazrafshan, Hanieh, Bazrafshan drissi, Hamed, Tan, Ru-San, Acharya, U. Rajendra and Islam, Mohammed Shariful Sheikh |
Journal Title | Journal of Diabetes and Metabolic Disorders |
Journal Citation | 23 (1), pp. 773-781 |
Number of Pages | 9 |
Year | 2024 |
Publisher | Springer |
Place of Publication | Netherlands |
ISSN | 2251-6581 |
Digital Object Identifier (DOI) | https://doi.org/10.1007/s40200-023-01350-x |
Web Address (URL) | https://link.springer.com/article/10.1007/s40200-023-01350-x |
Abstract | Purpose Methods Results Conclusions |
Keywords | Body composition |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 420308. Health informatics and information systems |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Fasa University, Iran |
Shiraz University of Medical Sciences, Iran | |
Fasa University of Medical Sciences, Iran | |
Northern Hospital, Victoria | |
Deakin University | |
National Heart Centre, Singapore | |
School of Mathematics, Physics and Computing | |
George Institute for Global Health, Australia | |
University of Sydney |
https://research.usq.edu.au/item/z854z/a-cohort-study-on-the-predictive-capability-of-body-composition-for-diabetes-mellitus-using-machine-learning
36
total views0
total downloads1
views this month0
downloads this month