Prediction of Diabetes Mellitus Based on Boosting Ensemble Modeling-Reference-Cited by-同舟云学术

Prediction of Diabetes Mellitus Based on Boosting Ensemble Modeling

Published:2014 Issue: Volume: Page:25-28
ISSN:0302-9743
Container-title:Ubiquitous Computing and Ambient Intelligence. Personalisation and User Adapted Services
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Author:

Ali Rahman,Siddiqi Muhammad Hameed,Idris Muhammad,Kang Byeong Ho,Lee Sungyoung

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-13102-3_6

Reference10 articles.

1. Hussain, M., Khattak, A.M., Khan, W.A., et al.: Cloud-based Smart CDSS for chronic diseases. Health and Technology 3(2), 153–175 (2013)

2. Mani, S., Chen, Y., Elassy, T., Clayton, W.: Type 2 Diabetes Risk Forecasting from EMR Data using Machine learning. In: AMIA Annual Symposium Proceedings, vol. 2012, pp. 606–615. American Medical Informatics Association (2012)

3. Zolfaghari, R.: Diagnosis of Diabetes in Female Population of Pima Indian Heritage with Ensemble of BP Neural Network and SVM. International Journal of Computational Engineering & Management 15(4) (2012)

4. Stahl, F.: Diabetes Mellitus Glucose Prediction by Linear and Bayesian Ensemble Modeling, Sweden (2012)

5. Narasingarao, M., Manda, R., Sridhar, G., et al.: A clinical decision support system using multilayer perceptron neural network to assess wellbeing in diabetes. The Journal of the Association of Physicians India 57, 127–133 (2009)

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