Modified binary PSO for feature selection using SVM applied to mortality prediction of septic patients

Applied Soft Computing Journal

Volumn 13, Issue 8, 2013, Pages 3494-3504

  Vieira, Susana M ^a   Mendonça, Luís F ^a,b   Farinha, Gonçalo J ^a   Sousa, João M C ^a  

^a INSTITUTO SUPERIOR TÉCNICO   (Portugal)

^b Escola Nautica Infante D Henrique   (Portugal)

Author keywords

Feature selection; Particle swarm optimization; Premature convergence; Sepsis; Support vector machines; Wrapper methods

Indexed keywords

BENCHMARK DATASETS; BINARY PARTICLE SWARM OPTIMIZATION; CLASSIFICATION ACCURACY; KERNEL PARAMETER; PRE-MATURE CONVERGENCES; SEPSIS; SIMULTANEOUS OPTIMIZATION; WRAPPER METHODS;

FEATURE EXTRACTION; FORECASTING; GENETIC ALGORITHMS; PARTICLE SWARM OPTIMIZATION (PSO);

SUPPORT VECTOR MACHINES;

EID: 84878154666     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2013.03.021     Document Type: Article

References (50)

1. D.D. Meisel Fourier transforms of data sampled in unequally spaced segments Astronomical Journal 84 1979 116 126
2. P. Bajcsy An overview of DNA microarray grid alignment and foreground separation approaches EURASIP Journal on Applied Signal Processing 2006 2006 1 13
3. E. Andreou, E. Ghysels, and A. Kourtellos Oxford Handbook on Economic Forecasting - Forecasting with Mixed-frequency Data 2010 Oxford University Press USA, Oxford
4. W.H. Press, and G. Rybicki Annotation: what can be done about missing data? Astrophysical Journal 338 1989 277 280
5. N.I. Kalyadin, V.A. Lemenkov, I.R. Losev, and S.I. Kantor Problems of medical monitoring of patients and the requirements for development of computer monitoring systems Biomedical Engineering 30 2 1996 81 85 (Pubitemid 26414794)
6. U. Fayyad, G. Piatetsky-Shapiro, and P. Smyth From data mining to knowledge discovery in databases AI Magazine 17 1996 37 54
7. S.N. Ghazavi, and T.W. Liao Medical data mining by fuzzy modeling with selected features Artificial Intelligence in Medicine 43 2008 195 206
8. S.M. Vieira, J. ao, M.C. Sousa, and U. Kaymak Fuzzy criteria for feature selection Fuzzy Sets and Systems 189 1 2012 1 18
9. C.-L. Huang, and J.-F. Dun A distributed PSO-SVM hybrid system with feature selection and parameter optimization Applied Soft Computing 8 4 2008 1381 1391
10. C.-L. Huang, and C.-J. Wang A GA-based feature selection and parameters optimization for support vector machines Expert Systems with Applications 31 2 2006 231 240 (Pubitemid 44294444)
11. M. Wahde Biologically Inspired Optimization Methods 1st edition 2008 WIT Press Southampton, UK
12. S.M. Vieira, J.M.C. Sousa, and T.A. Runkler Two cooperative ant colonies for feature selection using fuzzy models Expert Systems with Applications 37 2010 2714 2723
13. E. Alba, J. Garcia-Nieto, L. Jourdan, and E.-G. Talbi Gene selection in cancer classification using PSO/SVM and GA/SVM hybrid algorithms Proc. of the IEEE Congress on Evolutionary Computation 2007 284 290
14. R.C. Bone, R.A. Balk, F.B. Cerra, R.P. Dellinger, A.M. Fein, W.A. Knaus, R.M. Schein, and W.J. Sibbald Definitions for sepsis and organ failure and guidelines for the use of innovative therapies in sepsis. The ACCP/SCCM Consensus Conference Committee. American College of Chest Physicians/Society of Critical Care Medicine. Chest 101 6 1992 1644 1655
15. H. Burchardi, and H. Schneider Economic aspects of severe sepsis: a review of intensive care unit costs, cost of illness and cost effectiveness of therapy PharmacoEconomics 22 12 2004 793 813 (Pubitemid 39158998)
16. A. Fialho, F. Cismondi, S. Vieira, S. Reti, J. Sousa, and S. Finkelstein Data mining using clinical physiology at discharge to predict ICU readmissions Expert Systems with Applications 39 18 2012 13158 13165
17. M.M. Levy, M.P. Fink, J.C. Marshall, E. Abraham, D. Angus, D. Cook, J. Cohen, S.M. Opal, J.-L. Vincent, and G. Ramsay 2001 SCCM/ESICM/ACCP/ATS/SIS International Sepsis Definitions Conference Intensive Care Medicine 29 2003 530 538 (Pubitemid 36523666)
18. R. Kohavi, and G. John Wrappers for feature subset selection Artificial Intelligence 97 1-2 1997 273 324 (Pubitemid 127401107)
19. V. Kecman Learning and Soft Computing Support Vector Machines, Neural Networks, Fuzzy Logic Systems 2001 MIT Press Massachusetts, USA
20. B. Hammer, and K. Gersmann A note on the universal approximation capability of support vector machines Neural Processing Letters 17 2003 43 53
21. A. Ben-Hur, C.S. Ong, S. Sonnenburg, B. Schölkopf, and G. Rätsch Support vector machines and kernels for computational biology PLoS Computational Biology 4 10 2008
22. I. Guyon, S. Gunn, M. Nikravesh, and L.A. Zadeh Feature Extraction: Foundations and Applications 2006 Springer New York, USA
23. L.I. Kuncheva Combining Pattern Classifiers: Methods and Algorithms 2004 John Wiley & Sons, Inc. Hoboken, New Jersey
24. S.M. Vieira, U. Kaymak, and J.M.C. Sousa Cohen's kappa coefficient as a performance measure for feature selection. Proc. of 2010 IEEE World Congress on Computational Intelligence, WCCI 2010, IEEE Int. Conf. on Fuzzy Sys. Barcelona, Spain 2010 1 8
25. C.J. Burges A tutorial on support vector machines for pattern recognition Data Mining and Knowledge Discovery 2 1998 121 167 (Pubitemid 128695475)
26. J.C. Platt, Sequential minimal optimization: a fast algorithm for training support vector machines, Tech. rep., Microsoft Research, 1998.
27. S.-W. Lin, K.-C. Ying, S.-C. Chen, and Z.-J. Lee Particle swarm optimization for parameter determination and feature selection of support vector machines Expert Systems with Applications 35 4 2008 1817 1824
28. M.A. Mazurowski, P.A. Habas, J.M. Zurada, J.Y. Lo, J.A. Baker, and G.D. Tourassi Training neural network classifiers for medical decision making: the effects of imbalanced datasets on classification performance Neural Networks 21 2-3 2008 427 436
29. F. Cismondi, A.L. Horn, A.S. Fialho, S.M. Vieira, S.R. Reti, J.M.C. Sousa, and S. Finkelstein Multi-stage modeling using fuzzy multi-criteria feature selection to improve survival prediction of ICU septic shock patients Expert Systems with Applications 39 16 2012 12332 12339
30. C.-L. Huang ACO-based hybrid classification system with feature subset selection and model parameters optimization Neurocomputing 73 1-3 2009 438 448
31. L. Yuan, and Z.-D. Zhao A modified binary particle swarm optimization algorithm for permutation flow shop problem Proc. of the International Conference on Machine Learning and Cybernetics, vol. 2 2007 902 907
32. A. Marandi, F. Afshinmanesh, M. Shahabadi, and F. Bahrami Boolean particle swarm optimization and its application to the design of a dual-band dual-polarized planar antenna Proc. of IEEE Congress on Evolutionary Computation 2006 3212 3218 (Pubitemid 47130905)
33. C.W. Reynolds Flocks, herds and schools: a distributed behavioral model SIGGRAPH Computer Graphics 21 1987 25 34
34. L.-Y. Chuang, H.-W. Chang, C.-J. Tu, and C.-H. Yang Improved binary PSO for feature selection using gene expression data Computational Biology and Chemistry 32 1 2008 29 38
35. Z.-H. Zhan, J. Zhang, Y. Li, and H.-H. Chung Adaptive particle swarm optimization IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 39 6 2009 1362 1381
36. S. Lee, S. Soak, S. Oh, W. Pedrycz, and M. Jeon Modified binary particle swarm optimization Progress in Natural Science 18 9 2008 1161 1166
37. G.J. Farinha, S.M. Vieira, L.F. Mendonça, and J.M. Sousa Optimization of fuzzy models using a novel PSO algorithm: application to medical databases Proc. of the 18th World Congress of the International Federation of Automatic control 2011 6
38. C.W. Hsu, C.C. Chang, C.J. Lin, A practical guide to support vector classification, Tech. rep., National Taiwan University, Taipei, 2003.
39. S.M. Vieira, L.F. Mendonça, G.J. Farinha, and J.M. Sousa Metaheuristics for feature selection: application to sepsis outcome prediction. Proc. of the World Congress on Computational Intelligence 2012, WCCI-CEC2012 2012 2395 2402
40. A. Asuncion, D. Newman, UCI machine learning repository, 2007. URL www.archive.ics.uci.edu/ml.
41. H.-C. Kung, D.L. Hoyert, J. Xu, and S.L. Murphy Deaths: final data for 2005 National Vital Statistics Reports 56 10 2008 1 120
42. G.S. Martin, D.M. Mannino, S. Eaton, and M. Moss The epidemiology of sepsis in the United States from 1979 through 2000 The New England Journal of Medicine 348 16 2003 1546 1554 (Pubitemid 36437931)
43. D. Angus, W.T. Linde-Zwirble, J. Lidicker, G. Clermont, J. Carcillo, and M.R. Pinsky Epidemiology of severe sepsis in the United States: analysis of incidence, outcome, and associated costs of care Critical Care Medicine Division 29 7 2001 1303 1310 (Pubitemid 32641789)
44. R.M. Otero, H.B. Nguyen, D.T. Huang, D.F. Gaieski, M. Goyal, K.J. Gunnerson, S. Trzeciak, R. Sherwin, C.V. Holthaus, T. Osborn, and E.P. Rivers Early goal-directed therapy in severe sepsis and septic shock revisited* Chest 130 5 2006 1579 1595
45. J.R. Moorman, D.E. Lake, and M.P. Griffin Heart rate characteristics monitoring for neonatal sepsis IEEE Transactions on Biomedical Engineering 53 1 2006 126 132 (Pubitemid 43074800)
46. E. Hanisch, R. Brause, J. Paetz, and B. Arlt Review of a large clinical series: predicting death for patients with abdominal septic shock Journal of Intensive Care Medicine 26 1 2011 27 33
47. J. Paetz Knowledge-based approach to septic shock patient data using a neural network with trapezoidal activation functions Artificial Intelligence in Medicine 28 2 2003 207 230 (Pubitemid 36957849)
48. A.S. Fialho, F. Cismondi, S.M. Vieira, J.M. da Costa Sousa, S.R. Reti, M.D. Howell, and S.N. Finkelstein Predicting outcomes of septic shock patients using feature selection based on soft computing techniques E. Hüllermeier, R. Kruse, F. Hoffmann, IPMU(2), vol. 81 of Communications in Computer and Information Science 2010 Springer New York, USA 65 74
49. D. Shavdia, Septic shock: providing early warnings through multivariate logistic regression models, Master's thesis, Massachusetts Institute of Technology, September 2007.
50. J. Paetz, B. Arlt, K. Erz, K. Holzer, R. Brause, and E. Hanisch Data quality aspects of a database for abdominal septic shock patients Computer Methods and Programs in Biomedicine 75 1 2004 23 30 (Pubitemid 38648874)