Hybrid Disease Diagnosis Using Multiobjective Optimization with Evolutionary Parameter Optimization

Journal of Healthcare Engineering - Tập 2017 - Trang 1-27 - 2017
Madhusudana Rao Nalluri1, K. Kannan1, Manjul Manisha1, Diptendu Sinha Roy2
1Sastra University, Thanjavur, Tamil Nadu, India
2National Institute of Technology, Meghalaya, India

Tóm tắt

With the widespread adoption of e-Healthcare and telemedicine applications, accurate, intelligent disease diagnosis systems have been profoundly coveted. In recent years, numerous individual machine learning-based classifiers have been proposed and tested, and the fact that a single classifier cannot effectively classify and diagnose all diseases has been almost accorded with. This has seen a number of recent research attempts to arrive at a consensus using ensemble classification techniques. In this paper, a hybrid system is proposed to diagnose ailments using optimizing individual classifier parameters for two classifier techniques, namely, support vector machine (SVM) and multilayer perceptron (MLP) technique. We employ three recent evolutionary algorithms to optimize the parameters of the classifiers above, leading to six alternative hybrid disease diagnosis systems, also referred to as hybrid intelligent systems (HISs). Multiple objectives, namely, prediction accuracy, sensitivity, and specificity, have been considered to assess the efficacy of the proposed hybrid systems with existing ones. The proposed model is evaluated on 11 benchmark datasets, and the obtained results demonstrate that our proposed hybrid diagnosis systems perform better in terms of disease prediction accuracy, sensitivity, and specificity. Pertinent statistical tests were carried out to substantiate the efficacy of the obtained results.

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Tài liệu tham khảo

10.1016/j.eswa.2012.02.063

10.1016/j.eswa.2008.02.021

10.1016/j.dss.2010.08.006

10.1016/j.eswa.2014.01.011

10.1016/j.ins.2015.10.011

10.1007/s10916-011-9692-3

2016, Journal of the Chinese Institute of Engineers, 39, 74, 10.1080/02533839.2015.1082934

10.1016/j.cmpb.2014.01.004

10.1016/j.patrec.2013.06.013

10.1021/jacs.7b01918

10.1016/j.csda.2015.10.008

10.1016/j.asoc.2015.06.015

10.1016/j.jocs.2016.01.001

10.1007/s13246-015-0337-6

10.1016/j.eswa.2007.10.010

10.1016/j.eswa.2008.09.013

2013, Bonfring International Journal of Software Engineering and Soft Computing, 3, 1, 10.9756/BIJSESC.4336

2012, International Journal of Advanced Computer and Mathematical Sciences, 3, 290

10.1177/1062860617702741

10.4103/0970-2113.201322

10.1016/j.cmpb.2013.03.004

10.1111/echo.13512

2008, International Journal of Biological, Biomedical and Medical Sciences, 3

10.1155/2014/783734

2015, International Journal of Intelligent Systems and Applications (IJISA), 7, 75, 10.5815/ijisa.2015.12.08

10.1007/s10586-013-0308-1

2013, Caribbean Journal of Science and Technology, 1, 208

10.1016/j.eswa.2005.07.022

10.1016/j.cmpb.2008.09.005

2013, Oriental Journal of Computer Science and Technology, 6, 457

10.1016/j.cmpb.2011.08.003

10.1016/j.eswa.2011.01.014

2003, Using rules to analyse bio-medical data: a comparison between C4.5 and PCL, 254

10.1016/j.tele.2015.08.006

10.1016/j.jbi.2016.01.014

10.1007/s00521-015-2142-2

10.1016/j.jbi.2015.12.001

2016, International Journal of Intelligent Systems and Applications, 8, 49, 10.5815/ijisa.2016.01.06

2014, International Journal of Innovative Research in Computer and Communication Engineering, 2, 2456

10.3390/app5030222

10.1007/s00500-015-1630-8

10.1007/s10916-011-9762-6

10.1016/j.knosys.2016.01.002

10.1016/j.patrec.2005.10.010

10.1145/1046456.1046467

2001

10.1016/j.ins.2009.03.004

10.1016/j.engappai.2010.05.007

10.1159/000470650

10.1016/j.asoc.2007.10.007

10.1504/IJBIC.2010.032124

1992, IEEE Transactions on Neural Networks, 3, 683, 10.1109/72.159058

10.1007/BF00994018

10.1016/j.eswa.2007.08.088

2016, Particle swarm optimization trained neural network for structural failure prediction of multistoried RC buildings, 1

10.2307/3001968

2007, 22

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Thông tin xuất bản

Journal of Healthcare Engineering

Tập 2017

1-27

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