Abstract
From the domain of Computational Intelligence we have selected immunological computation and fuzzy systems to combine them in a new hybrid model. This novel numerical method has been tested on patient data strings to make decisions about the choices of surgery types. The model input clinical data concerns patients who suffer from gastric cancer.
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References
De Castro, L.N., Timmis, J.: Artificial Immune Systems. Springer, Heidelberg (2002)
Cohen, I.R.: Immune System Computation and the Immunological Homunculus. In: Wang, J., Whittle, J., Harel, D., Reggio, G. (eds.) MoDELS 2006. LNCS, vol. 4199, pp. 499–512. Springer, Heidelberg (2006)
Dasgupta, D., Nino, F.: Immunological Computation: Theory and Applications. Auerbach Publishers Inc., London (2008)
Kim, D.-K., Oh, S.Y., Kwon, H.-C., Lee, S., Kwon, K.A., Kim, B.G., Kim, S.-G., Kim, S.-H., Jang, J.S., Kim, M.C., Kim, K.H., Han, J.-Y., Kim, H.-J.: Clinical Significances of Preoperative Serum Interleukin-6 and C-reactive Protein Level in Operable Gastric Cancer. BMC Cancer 9, 155–156 (2009)
Engelbrecht, A.P.: Computational Intelligence. Wiley & Sons Ltd., Chichester (2007)
Forrest, S., Perelson, A.S., Allen, L., Cherukuri, R.: Self-Nonself Discrimination in a Computer. In: Proceedings of the 1992 IEEE Symposium on Security and Privacy (1994)
Forrest, S., Hofmeyr, S.A., Somayaji, A., Longstaff, T.A.: A Sense of Self for Unix Processes. In: Proceedings of the 1996 IEEE Symposium on Security and Privacy (1996)
Gao, X.Z., Ovaska, S.I., Wang, X., Chow, M.Y.: A Neural Networks-based Negative Selection Algorithm in Fault Diagnosis. Neural Computing & Applications 17(1), 91–98 (2008)
Harmer, P.K., Williams, P.D., Gunsch, G.H., Lamont, G.B.: An Artificial Immune System Architecture for Computer Security Applications. IEEE Transactions on Evolutionary Computation 6(3), 252–280 (2002)
Igawa, K., Ohashi, H.: A Negative Selection Algorithm for Classification and Reduction of the Noise Effect. Journal of Applied Soft Computing 9(1), 431–438 (2009)
Ishida, Y.: Immunity-Based Systems: A Design Perspective. Springer, Heidelberg (2004)
Li, T.: Computer Immunology. Publishing House of Electronics Industry, Beijing (2004)
Luo, W., Guo, P., Wang, X.: On Convergence of Evolutionary Negative Selection Algorithms for Anomaly Detection. In: Proceedings of Congress of Evolutionary Computation, pp. 2934–2944 (2008)
de Mello, J., Struthers, L., Turner, R., Cooper, E.H., Giles, G.R.: Multivariate Analyses as Aids to Diagnosis and Assessment of Prognosis in Gastrointestinal Cancer. Br. J. Cancer 48, 341–348 (1983)
Rakus-Andersson, E.: Fuzzy and Rough Techniques in Medical Diagnosis and Medication. Springer, Heidelberg (2007)
Rakus-Andersson, E., Jain, L.C.: Computational Intelligence in Medical Decisions Making. In: Rakus-Andersson, E., Yager, R.R., Ichalkaranje, N., Jain, L.C. (eds.) Recent Advances in Decision Making. Studies in Computational Intelligence, vol. 222, pp. 145–159. Springer, Heidelberg (2009)
Rakus-Andersson, E.: Approximate Reasoning in Surgical Decisions. In: Proceedings of the International Fuzzy Systems Association World Congress – IFSA 2009, pp. 225–230. Instituto Superior Technico. (2009)
Rakus-Andersson, E.: One-dimensional Model of Approximate Reasoning in Surgical Considerations. In: Developments in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics, vol. II, pp. 233–246. System Research Institute of Polish Academy of Sciences (2010)
Rakus-Andersson, E., Zettervall, H., Erman, M.: Prioritization of Weighted Strategies in the Multi-player Games with Fuzzy Entries of the Payoff Matrix. Int. J. of General Systems 39(3), 291–304 (2010)
Rutkowski, L.: Computational Intelligence: Methods and Techniques. Springer, Heidelberg (2008)
Zettervall, H., Rakus-Andersson, E., Forssell, H.: Mamdani Controller in the Prediction of Survival Length in Elderly Gastric Cancer Patients. In: Proceedings of Bioinformatics 2011, pp. 283–286. IEEE, Los Alamitos (2011)
Wakizono, M., Hatanaka, T., Uosaki, K.: Time Varying System Identification with Immune Based Evolutionary Computation. In: Proceedings of SICE-ICASE, Busan, Korea, pp. 5608–5613 (2006)
Zhang, Q., Zhao, H.: The Research of Generation Algorithm of Detectors in a New Negative Selection Algorithm. In: Proceedings of the International Conference on Technology Management and Innovation 2010, Wuhan, China (2010)
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Rakus-Andersson, E. (2011). Hybridization of Immunological Computation and Fuzzy Systems in Surgery Decision Making. In: König, A., Dengel, A., Hinkelmann, K., Kise, K., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2011. Lecture Notes in Computer Science(), vol 6884. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23866-6_42
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DOI: https://doi.org/10.1007/978-3-642-23866-6_42
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