Performance Evaluation of Different Machine Learning Methods and Deep-Learning Based Convolutional Neural Network for Health Decision Making-Reference-Cited by-同舟云学术

Performance Evaluation of Different Machine Learning Methods and Deep-Learning Based Convolutional Neural Network for Health Decision Making

Published:2019-11-27 Issue: Volume: Page:201-212
ISSN:1860-949X
Container-title:Nature Inspired Computing for Data Science
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Author:

Sahoo Abhaya Kumar,Pradhan Chittaranjan,Das Himansu

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-33820-6_8

Reference27 articles.

1. Sneha, N., and T. Gangil. 2019. Analysis of diabetes mellitus for early prediction using optimal features selection. Journal of Big Data 6 (1): 13.

2. Doupe, P., J. Faghmous, and S. Basu. Machine learning for health services researchers. Value in Health.

3. Kaur, H., and V. Kumari. 2018. Predictive modelling and analytics for diabetes using a machine learning approach. Applied Computing and Informatics.

4. Das, H., B. Naik, and H.S. Behera. 2018. Classification of diabetes mellitus disease (DMD): a data mining (DM) approach. In Progress in computing, analytics and networking, 539–549. Singapore: Springer.

5. Sahani, R., C. Rout, J.C. Badajena, A.K. Jena, and H. Das. 2018. Classification of intrusion detection using data mining techniques. In Progress in computing, analytics and networking, 753–764. Singapore: Springer.

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