Classification of Diabetic Patient Data Using Machine Learning Techniques-Reference-Cited by-同舟云学术

Classification of Diabetic Patient Data Using Machine Learning Techniques

Published:2018 Issue: Volume: Page:427-436
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Singh Pankaj Pratap,Prasad Shitala,Das Bhaskarjyoti,Poddar Upasana,Choudhury Dibarun Roy

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-7386-1_37

Reference8 articles.

1. Bodenheimer T, Wagner EH, Grumbach K. Improving Primary Care for Patients With Chronic Illness The Chronic Care Model, Part 2. JAMA 288(15), 1909–1914 (2002).

2. Koproski, J., Pretto, Z., Poretsky. L.: Effects of an Intervention by a Diabetes Team in Hospitalized Patients With Diabetes. Diabetes Care, Oct 1997, 20(10) 1553–1555 (1997).

3. Glasgow, A.M., Weissberg-B.J., Tynan, W.D., Epstein, S.F., Driscoll, C., Turek. J., Beliveau E.: Readmissions of Children With Diabetes Mellitus to a Children’s Hospital, Pediatrics July 1991, 88(1) 98–104 (1991).

4. Strack, B., DeShazo, J.P., Gennings, C.: Impact of HbA1c Measurement on Hospital Readmission Rates: Analysis of 70,000 Clinical Database Patient Records. BioMed Research International, vol. 2014, Article ID 781670, 11 pages (2014).

5. http://www.diabetes.co.uk/what-is-hba1c.html .

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