An evolutionary two-objective genetic algorithm for asthma prediction

Proceedings - UKSim 15th International Conference on Computer Modelling and Simulation, UKSim 2013

Volumn , Issue , 2013, Pages 90-94

  Chatzimichail, Eleni ^a   Paraskakis, Emmanouil ^a   Rigas, Alexandros ^a  

^a DEMOCRITUS UNIVERSITY OF THRACE   (Greece)

Author keywords

Asthma prediction; Feature selection; Genetic algorithms; Neural networks pruning

Indexed keywords

COUNTS-AS; DIMENSION REDUCTION; FIRST YEAR; HIDDEN LAYERS; OPTIMIZATION PROBLEMS; PROGNOSTIC FACTORS; YOUNG CHILDREN;

DISEASES; FEATURE EXTRACTION; FORECASTING; NEURAL NETWORKS;

GENETIC ALGORITHMS;

EID: 84880861936     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/UKSim.2013.12     Document Type: Conference Paper

References (19)

1. J. Yang and V. Honavar, "Feature subset selection using a genetic algorithm, " Intelligent Systems and their Applications, IEEE, vol. 13, pp. 44 -49, mar/apr 1998.
2. P. Pudil, J. Novovicova, and J. Kittler, "Floating search methods in feature selection, " Pattern Recognition Letters, vol. 15, no. 11, pp. 1119- 1125, 1994.
3. I. Guyon and A. Elisseeff, "An introduction to variable and feature selection, " J. Mach. Learn. Res., vol. 3, pp. 1157-1182, Mar. 2003.
4. J. H. Holland, Adaptation in Natural and Artificial Systems.University of Michigan Press, 1975.
5. A. V. Adamopoulos, "Breast cancer diagnostic factors elimination via evolutionary neural network pruning, " 2009.
6. F. Bacopoulou, A. Veltsista, I. Vassi, A. Gika, V. Lekea, K. Priftis, and C. Bakoula, "Can we be optimistic about asthma in childhood? a greek cohort study, " Journal of Asthma, vol. 46, no. 2, pp. 171-174, 2009.
7. S. Saglani and A. Bush, "Asthma in preschool children: The next challenge, " Current opinion in allergy and clinical immunology, vol. 9, no. 2, pp. 141-145, 2009.
8. H. S. Zahran, C. J. Person, C. Bailey, and J. E. Moorman, "Predictors of asthma self-management education among children and adults-2006-2007 behavioral risk factor surveillance system asthma call-back survey, " Journal of Asthma, vol. 49, no. 1, pp. 98-106, 2012.
9. N. N. Hansel, E. C. Matsui, R. Rusher, M. C. McCormack, J. Curtin-Brosnan, R. D. Peng, D. Mazique, P. N. Breysse, and G. B. Diette, "Predicting future asthma morbidity in preschool inner-city children, " Journal of Asthma, vol. 48, no. 8. pp. 797-803, 2011.
10. C. Tolomeo. C. Savrin, M. Heinzer, and A. Bazzy-Asaad, "Predictors of asthma-related pediatric emergency department visits and hospitalizations, " Journal of Asthma, vol. 46, no. 8, pp. 829-834, 2009.
11. K. Porpodis, D. Papakosta, K. Manika, T. Kontakiotis, M. Gaga, L. Sichletidis. and D. Gioulekas, "Long-term prognosis of asthma is good-a 12-year follow-up study, influence of treatment, " Journal of Asthma, vol. 46, no. 6, pp. 625-631, 2009.
12. J. Castro-Rodriguez, C. Holberg, A. Wright, and F. Martinez, "A clinical index to define risk of asthma in young children with recurrent wheezing., " Am J Respir Crit Care Med, vol. 162, pp. 1403-1406, 2000.
13. J. A. Castro-Rodriguez, "The asthma predictive index: a very useful tool for predicting asthma in young children, " Journal of Allergy and Clinical Immunology, vol. 126, no. 2, pp. 212-216. 2010.
14. D. Caudri, A. Wijga, C. Schipper, M. Hoekstra, D. Postma, G. Koppelman, B. Brunekreef, H. Smit, and J. d. Jongste, "Predicting the long-term prognosis of children with symptoms suggestive of asthma at preschool age, " Journal of Allergy and Clinical Immunology, vol. 124, November 2009.
15. C. S. Devulapalli, K. C. L. Carlsen, G. HSland, M. C. Munthe-Kaas, M. Pettersen, P. Mowinckel, and K.-H. Carlsen, "Severity of obstructive airways disease by age 2 years predicts asthma at 10 years of age., " Thorax, vol. 63, no. 1, pp. 8-13, 2008.
16. E. Chatzimichail. A. Rigas, E. Paraskakis, and A. Chatz-imichail. "Diagnosis of asthma severity using artificial neural networks, " in XII Mediterranean Conference on Medical and Biological Engineering and Computing 2010, pp. 600-603, Springer, 2010.
17. C.-L. Chang and C.-H. Chen, "Applying decision tree and neural network to increase quality of dermatologic diagnosis, " Expert Systems with Applications, vol. 36, no. 2, pp. 4035-4041, 2009.
18. E. Chatzimichail, E. Paraskakis, M. Sitzimi, and A. Rigas, "Predicting the long-term outcome of preschool children with asthma symptoms, " in E-Health and Bioengineering Conference (EHB), 2011, pp. 1-4, IEEE, 2011.
19. E. Chatzimichail, E. Paraskakis, M. Sitzimi, and A. Rigas, "An expert system approach for asthma prediction in symptomatic preschool children, " Computational and Mathematical Methods in Medicine, In Press, 2013.