M. Fiasché, M. Cuzzola, G. Irrera, P. Iacopino, and F. C. Morabito, Advances in Medical Decision Support Systems for Acute Graft-versus-Host Disease: Molecular and Computational Intelligence Joint Approaches, Frontiers in Biology, pp.10-1007

N. Kasabov, Evolving Connectionist Systems: The Knowledge Engineering Approach, 2007.
DOI : 10.1007/978-1-4471-3740-5

D. Weisdorf and G. Vs, Graft vs. host disease: pathology, prophylaxis and therapy, Best Practice & Research Clinical Haematology, vol.21, issue.2, pp.99-100, 2008.
DOI : 10.1016/j.beha.2008.02.013

J. L. Ferrara, Advances in the clinical management of GVHD, Best Practice & Research Clinical Haematology, vol.21, issue.4, pp.677-682, 2008.
DOI : 10.1016/j.beha.2008.07.003

M. Fiasché, M. Cuzzola, P. Iacopino, N. Kasabov, and F. C. Morabito, Personalized Modeling based Gene Selection for acute GvHD Gene Expression Data Analysis: a Computational Framework Proposed, Machine Learning Applications, 2010.

P. Langley, Selection of relevant features in machine learning, Proceedings of AAAI Fall Symposium on Relevance, pp.140-144, 1994.

I. Guyon and A. Elisseeff, An introduction to variable and feature selection, The Journal of Machine Learning Research, vol.3, pp.1157-1182, 2003.

M. A. Hall, Correlation-based feature selection for machine learning

M. Fiasché, A. Verma, M. Cuzzola, P. Iacopino, N. Kasabov et al., Discovering Diagnostic Gene Targets and Early Diagnosis of Acute GVHD Using Methods of Computational Intelligence over Gene Expression Data, Journal of Artificial Intelligence and Soft Computing Research, vol.28, issue.6, pp.81-89, 2011.
DOI : 10.1016/j.patrec.2006.08.007

J. Platt, Fast training of support vector machines using sequential minimal optimization Advances in Kernel Methods?Support Vector Learning, 1998.

T. S. Furey, N. Cristianini, N. Duffy, D. W. Bednarski, M. Schummer et al., Support vector machine classification and validation of cancer tissue samples using microarray expression data, Bioinformatics, vol.16, issue.10, pp.906-914, 2000.
DOI : 10.1093/bioinformatics/16.10.906

URL : https://academic.oup.com/bioinformatics/article-pdf/16/10/906/597934/160906.pdf

A. Robins, Consolidation in neural networks and the sleeping brain, Connection Sci, pp.259-275, 1996.

W. Duch, R. Adamczak, and K. Grabczewski, Extraction of logical rules from neural networks, Neural Proc. Lett, pp.211-219, 1998.

R. Jang, ANFIS: adaptive-network-based fuzzy inference system, IEEE Transactions on Systems, Man, and Cybernetics, vol.23, issue.3, pp.665-685, 1993.
DOI : 10.1109/21.256541

N. Kasabov, J. S. Kim, M. Watts, and A. Gray, FuNN/2???A fuzzy neural network architecture for adaptive learning and knowledge acquisition, Information Sciences, vol.101, issue.3-4, pp.3-4, 1997.
DOI : 10.1016/S0020-0255(97)00007-8

URL : https://ourarchive.otago.ac.nz/bitstream/10523/1101/3/dp1996-23-online.pdf

T. Yamakawa, E. Uchino, T. Miki, and H. Kusanagi, A neo fuzzy neuron and its application to system identification and prediction of the system behaviour, Proceedings of the Second International Conference on Fuzzy Logic & Neural Networks, pp.477-483, 1992.

G. R. Harik, F. G. Lobo, and D. E. Goldberg, The compact genetic algorithm, IEEE Transactions on Evolutionary Computation, vol.3, issue.4, pp.287-297, 1999.
DOI : 10.1109/4235.797971

M. Fiasché, M. Cuzzola, R. Fedele, P. Iacopino, and F. C. Morabito, Machine Learning and Personalized Modeling Based Gene Selection for Acute GvHD Gene Expression Data Analysis, Artificial Neural Networks ? proceedings of ICANN 2010 Part I
DOI : 10.1007/978-3-642-15819-3_29

J. E. Foley-jason, J. Mariotti, K. Ryan, M. Eckhaus, and D. H. Fowler, Th2 Cell Therapy of Established Acute Graft-Versus-Host Disease Requires IL-4 and IL-10 and Is Abrogated by IL-2 or Host-Type Antigen-Presenting Cells, Biology of Blood and Marrow Transplantation, vol.14, issue.9, pp.959-972, 2008.
DOI : 10.1016/j.bbmt.2008.06.007

S. Paczesny, D. Hanauer, Y. Sun, and P. Reddy, New perspectives on the biology of acute GVHD, Bone Marrow Transplantation, vol.80, issue.1, pp.45-46, 2010.
DOI : 10.1101/gr.1239303

N. Kasabov, Global, local and personalised modeling and pattern discovery in bioinformatics: An integrated approach, Pattern Recognition Letters, vol.28, issue.6, pp.673-685, 2007.
DOI : 10.1016/j.patrec.2006.08.007