Diagnosis of diabetes type-II using hybrid machine learning based ensemble model-Reference-Cited by-同舟云学术

Diagnosis of diabetes type-II using hybrid machine learning based ensemble model

Published:2018-12-15 Issue:2 Volume:12 Page:419-428
ISSN:2511-2104
Container-title:International Journal of Information Technology
language:en
Short-container-title:Int. j. inf. tecnol.

Author:

Sarwar Abid,Ali Mehbob,Manhas Jatinder,Sharma Vinod

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

http://link.springer.com/content/pdf/10.1007/s41870-018-0270-5.pdf

Reference23 articles.

1. Kharroubi AT, Darwish HM (2015) Diabetes mellitus: the epidemic of the century. World J Diabetes 6(6):850

2. Olokoba AB, Obateru OA, Olokoba LB (2012) Type 2 diabetes mellitus: a review of current trends. Oman Med J 27(4):269–273

3. Deepa SN, Aruna Devi B (2011) A survey on artificial intelligence approaches for medical image classification. Indian J Sci Technol 4(11):1583–1595

4. Michalski RS, Carbonell JG, Mitchell TM (eds) (2013) Machine learning: an artificial intelligence approach. Springer, Berlin

5. Karan O et al (2012) Diagnosing diabetes using neural networks on small mobile devices. Expert Syst Appl 39(1):54–60

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