Study on Swarm Intelligence on Medical Field

Authors

  • Snegaa A  PG Scholar, Computer Science and Engineering, Faculty of Engineering, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, Tamil Nadu, India
  • Dr. S. Sivakumari  Head of the Department, Computer Science and Engineering, Faculty of Engineering, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, Tamil Nadu, India
  • R. Praveena Priyadarsini  Asst.Professor, Computer Science and Engineering, Faculty of Engineering, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, Tamil Nadu, India

Keywords:

Swarm Intelligence, Diabetes Care, MES, KADIS, CDSS, HIS, GMM, PID, ICU-DWH

Abstract

Swarm intelligence is one of the important concepts in artificial intelligence and computer science with evolving properties. The vital design of swarm intelligence algorithms is to make use of many simple agents applying almost no rule which in turn leads to an evolving global behavior. This paper provides a study on Swarm Intelligence on Medical fields with various techniques and methods.

References

  1. E. Salzsieder, L. Vogt, K.D. Kohnert, P. Heinke, P. Augstein, Model-based decision support in diabetes care, Comput. Methods Programs Biomed. 102 (2011) 206-218.
  2. C. Saez, A. Breso, J. Vicente, M. Robles, J.M. Garcia-Gomez, An HL7-CDA wrapper for facilitating semantic interoperability to rule-based clinical decision support systems, Comput. Methods Programs Biomed. 109 (2013) 239-249.
  3. H. Yan, Y. Jiang, J. Zheng, B. Fu, S. Xiao, C. Peng, The internet-based knowledge acquisition and management method to construct large-scale distributed medical expert systems, Comput. Methods Programs Biomed. 74 (2004) 1-10.
  4. S. Icer, Automatic segmentation of corpus collasum using gaussian mixture modeling and fuzzy C means methods, Comput. Methods Programs Biomed. 112 (2013) 38-46.
  5. M. de Mul, P. Alons, P. van der Velde, I. Konings, J. Bakker, J. Hazelzet, Development of a clinical data warehouse from an intensive care clinical information system, Comput. Methods Programs Biomed. 105 (2012) 22-30.
  6. M. Hariharan, K. Polat, R. Sindhu, A new hybrid intelligent system for accurate detection of Parkinson’s disease, Comput. Methods Programs Biomed. 113 (2014) 904-913.
  7. U. Andreaus, M. Colloca, D. Iacoviello, Optimal bone density distributions: numerical analysis of the osteocyte spatial influence in bone remodeling, Comput. Methods Programs Biomed. 113 (2014) 80-91.
  8. U.R. Acharya, O. Faust, V. Sree, G. Swapna, R.J. Martis, N.A. Kadri, et al., Linear and non-linear analysis of normal and cad-affected heart rate signals, Comput. Methods Programs Biomed. 113 (2014) 55-68.
  9. K. Janc, J. Tarasiuk, A.S. Bonnet, P. Lipinski, Genetic algorithms as a useful tool for trabecular and cortical bone segmentation, Comput. Methods Programs Biomed. 111 (2013) 72-83.
  10. H.H. Inbarani, A.T. Azar, G. Jothi, Supervised hybrid feature selection based on PSO and rough sets for medical diagnosis, Comput. Methods Programs Biomed. 113 (2014) 175-185.
  11. L. Palafox, N. Noman, H. Iba, Reverse engineering of gene regulatory networks using dissipative Particle Swarm Optimization, IEEE Transactions on Evolutionary Computation 17 (2013) 577-587.
  12. B.Y. Qu, P.N. Suganthan, S. Das, A distance-based locally informed particle swarm model for multimodal optimization, IEEE Transactions on Evolutionary Computation 17 (2013) 387-402.
  13. W.-N. Chen, J. Zhang, Y. Lin, N. Chen, Z.-H. Zhan, H.S.-H. Chung, Y. Li, Y.-H. Shi, Particle Swarm Optimization with an aging leader and challengers, IEEE Transactions on Evolutionary Computation 17 (2013) 241-258.
  14. K.N.V.D. Sarath, V. Ravi, Association rule mining using binary Particle Swarm Optimization, Eng. Appl. Artif. Intell. 26 (2013) 1832-1840.
  15. Swagatam das, senior Member, IEEE, Ankush Mandal, and Rohan Mukherjee, An Adaptive Differential Evolution Algorithm for Global Optimization in Dynamic Environments, IEEE Transactions on cybernetics,vol.44,No.6, June 2014.
  16. Chia-Feng Juang, Senior Member, IEEE, Chi-Wei Hung, and Chia-Hung Hsu,Rule-Based Cooperative Continuous Ant Colony Optimization to Improve the Accuracy of Fuzzy System Design, IEEE TRANSACTIONS ON FUZZY SYSTEMS, VOL. 22, NO. 4, AUGUST 2014.
  17. Tianjun Liao, Krzysztof Socha, Marco A. Montes de Oca, Thomas Stutzle Senior Member, IEEE, and Marco Dorigo, Fellow, IEEE, Ant Colony Optimization for Mixed-Variable Optimization Problems IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, VOL. 18, NO. 4, AUGUST 2014.
  18. Subhodip Biswas, Souvik Kundu, and Swagatam Das, Senior Member, IEEE, An Improved Parent-Centric Mutation with Normalized Neighborhoods for Inducing Niching Behavior in Differential Evolution, IEEE TRANSACTIONS ON CYBERNETICS, VOL. 44, NO. 10, OCTOBER 2014.
  19. Lingxi Li and Ke Tang, Senior Member, IEEE, History-Based Topological Speciation for Multimodal Optimization, IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, VOL. 19, NO. 1, FEBRUARY 2015.
  20. Yong Wang, Member, IEEE, Han-Xiong Li, Fellow, IEEE, Gary G. Yen, Fellow, IEEE, and Wu Song, MOMMOP: Multiobjective Optimization for Locating Multiple Optimal Solutions of Multimodal Optimization Problems, IEEE TRANSACTIONS ON CYBERNETICS, VOL. 45, NO. 4, APRIL 2015.
  21. Ni Chen, Student Member, IEEE, Wei-Neng Chen, Member, IEEE, Yue-Jiao Gong, Student Member, IEEE,Zhi-Hui Zhan, Member, IEEE, Jun Zhang, Senior Member, IEEE, Yun Li, Member, IEEE,Yu-Song Tan, Member, IEEE, An Evolutionary Algorithm with Double-Level Archives for Multiobjective Optimization, IEEE TRANSACTIONS ON CYBERNETICS, VOL. 45, NO. 9, SEPTEMBER 2015.
  22. Cheng Weng Fong, Hishammuddin Asmuni, and Barry McCollum, A Hybrid Swarm-Based Approach to University Timetabling, IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, VOL. 19, NO. 6, DECEMBER 2015.
  23. Ying-Chi Lin, Martin ClauB, and Martin Middendorf, Simple Probabilistic Population-Based Optimization, IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, VOL. 20, NO. 2, APRIL 2016.
  24. Noha M. Hamza, Daryl L. Essam, and Ruhul A. Sarker, Member, IEEE, Constraint Consensus Mutation-Based Differential Evolution for Constrained Optimization, IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, VOL. 20, NO. 3, JUNE 2016.
  25. Qiang Yang, Student Member, IEEE, Wei-Neng Chen, Member, IEEE, Yun Li, Member, IEEE,C. L. Philip Chen, Fellow, IEEE, Xiang-Min Xu, Member, IEEE, and Jun Zhang, Senior Member, IEEE, Multimodal Estimation of Distribution Algorithms, IEEE TRANSACTIONS ON CYBERNETICS, VOL. 47, NO. 3, MARCH 2017.

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-02-28

Issue

Volume 3, Issue 1, January-February-2018

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Snegaa A, Dr. S. Sivakumari, R. Praveena Priyadarsini, " Study on Swarm Intelligence on Medical Field, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 1, pp.07-14, January-February-2018.