A patient network-based machine learning model for disease prediction: The case of type 2 diabetes mellitus
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-021-02533-w.pdf
Reference63 articles.
1. World Health Organization (2020) Diabetes. https://www.who.int/news-room/fact-sheets/detail/diabetes. Accessed 8 March 2021
2. Hossain M E, Uddin S, Khan A (2021) Network analytics and machine learning for predictive risk modelling of cardiovascular disease in patients with type 2 diabetes. Expert Syst Appl 164:113918
3. Australian Institute of Health and Welfare (2021) Diabetes. https://www.aihw.gov.au/reports/diabetes/diabetes/contents/what-is-diabetes. Accessed 8 March 2021
4. Jermendy G (2005) Can type 2 diabetes mellitus be considered preventable?. Diabetes Res Clin Practice 68:S73– S81
5. Rathmann W, Haastert B, Icks A, Löwel H, Meisinger C, Holle R, Giani G (2003) High prevalence of undiagnosed diabetes mellitus in southern germany: target populations for efficient screening. the kora survey 2000. Diabetologia 46(2):182–189
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