Predicting Insulin Resistance in Children Using a Machine-Learning-Based Clinical Decision Support System-Reference-Cited by-同舟云学术

Predicting Insulin Resistance in Children Using a Machine-Learning-Based Clinical Decision Support System

Published:2016 Issue: Volume: Page:274-283
ISSN:0302-9743
Container-title:Advances in Brain Inspired Cognitive Systems
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Author:

Hall Adam James,Hussain Amir,Shaikh M. Guftar

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-49685-6_25

Reference15 articles.

1. Goertzel, G.: Clinical decision support system. Ann. New York Acad. Sci. 161(2), 689–693 (1969)

2. Anooj, P.: Clinical decision support system: risk level prediction of heart disease using weighted fuzzy rules. J. King Saud Univ. Comput. Inform. Sci. 24(1), 27–40 (2012)

3. Mazzocco, T.: Toward a novel predictive analysis framework for new-generation clinical decision support systems. University of Stirling (2014). http://hdl.handle.net/1893/21684 . Accessed 12 Jul 2016

4. Diabetes UK: Diabetes Prevalence 2013, February 2014. https://www.diabetes.org.uk/About_us/What-we-say/Statistics/Diabetes-prevalence-2013/ . Accessed 12 Jul 2016

5. Scottish Diabetes Survey Monitoring Group: Scottish Diabetes Survey 2012, NHS Scotland (2012). http://www.diabetesinscotland.org.uk/publications/sds%202012.pdf . Accessed 12 Jul 2016

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