Type 2 Diabetes Mellitus Prediction Model Based on Machine Learning Approach-Reference-Cited by-同舟云学术

Type 2 Diabetes Mellitus Prediction Model Based on Machine Learning Approach

Published:2020 Issue: Volume: Page:454-469
ISSN:2523-3440
Container-title:Innovations in Smart Cities Applications Edition 3
language:
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Author:

Daanouni Othmane,Cherradi Bouchaib,Tmiri Amal

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-37629-1_33

Reference18 articles.

1. Morrish, N.J., Wang, S.-L., Stevens, L.K., Fuller, J.H., Keen, H., and WMS Group: Mortality and causes of death in the WHO multinational study of vascular disease in diabetes. Diabetologia 44(2), S14 (2001)

2. World Health Organization: Global health risks: mortality and burden of disease attributable to selected major risks. World Health Organization, Geneva (2009)

3. Federal Bureau of Prisons Management of Diabetes Clinical Practice Guidelines, June 2012

4. Zou, Q., Qu, K., Ju, Y., Tang, H., Luo, Y., Yin, D.: Predicting diabetes mellitus with machine learning techniques. Front. Genet. 9, 515 (2018)

5. Ali, I.M.A.: Knowledge acquisition for an expert system for diabetic. In: Proceedings of the Mediterranean Symposium on Smart City Applications, pp. 747–758 (2017)

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