Prediction of work-related accidents according to working conditions using support vector machines

Applied Mathematics and Computation

Volumn 218, Issue 7, 2011, Pages 3539-3552

  Suarez Sanchez A ^a   Riesgo Fernandez P ^a   Sanchez Lasheras F ^a   De Cos Juez, F J ^a   Garcia Nieto P J ^a  

^a UNIVERSITY OF OVIEDO   (Spain)

Author keywords

Regression analysis; Statistical learning; Support vector machine; Work related accidents; Working conditions

Indexed keywords

BACK PROPAGATION NEURAL NETWORKS; DIMENSIONAL REDUCTION; EXPERIMENTAL DATA; INPUT VARIABLES; MARS MODELS; MULTIVARIATE ADAPTIVE REGRESSION SPLINES; OCCUPATIONAL ACCIDENT; REGRESSION ALGORITHMS; SEMIPARAMETRIC; STATISTICAL LEARNING; STATISTICAL LEARNING METHODS; SUPPORT VECTOR; SVM MODEL; WORK-RELATED; WORKING CONDITIONS;

ACCIDENTS; ENGINEERING RESEARCH; INTELLIGENT COMPUTING; NEURAL NETWORKS; OCCUPATIONAL RISKS; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS;

SUPPORT VECTOR MACHINES;

EID: 80055002786     PISSN: 00963003     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.amc.2011.08.100     Document Type: Article

References (70)

1. International Labour Organization (ILO), Promoting safe and healthy jobs, The ILO Global Programme on Safety, Health and the Environment (Safework), in: World of Work, vol. 63, 2008, pp. 4-11.
2. EUROSTAT, Labour Force Survey 2007 ad hoc module on accidents at work and work-related health problems, in: European Communities, 2009.
3. European Commission, Directorate-General for Employment, Social Affairs and Equal Opportunities, The Social Situation in the European Union 2007, in: European Communities, 2007.
4. Spanish Ministry of Labour and Immigration, in: Bulletin of Labour Statistics, Government of Spain, 2010.
5. D. Attwood, F. Khan, and B. Veitch Can we predict occupational accident frequency? Process Saf. Environ. 84 3 2006 208 221
6. I. Fontaneda, M.A. Manzanedo, Working conditions in Spain after the adoption of Law 31/95 on prevention of occupational risks and their evolution, University of Burgos, Spain, 2005.
7. E. Visser, Y.J. Pijl, R.P. Stolk, J. Neeleman, and J.G.M. Rosmalen Accident proneness, does it exist? A review and meta-analysis Accident Anal. Prev. 39 2007 556 564
8. G.C. Gauchard, J.M. Mur, C. Touron, L. Benamghar, and D. Dehaene Determinants of accident proneness: a case-control study in railway workers Occup. Med. 56 3 2006 187 190
9. A. Kirschenbaum, L. Oigenblick, and A.I. Goldberg Well being, work environment and work accidents Soc. Sci. Med. 50 5 2000 631 639
10. B. Fabiano, F. Curro, A.P. Reverberi, and R. Pastorino A statistical study on temporary work and occupational accidents: specific risk factors and risk management strategies Safety Sci. 46 2008 535 544
11. R. Lilley, A.M. Feyer, P. Kirk, and P. Gander A survey of forest workers in New Zealand: do hours of work, rest, and recovery play a role in accidents and injury? J. Safety Res. 33 1 2002 53 71
12. A.E. Dembe, J.B. Erickson, R.G. Delbos, and S.M. Banks The impact of overtime and long work hours on occupational injuries and illnesses: new evidence from the United States Occup. Environ. Med. 62 9 2005 588 597
13. C.C. Caruso, T. Bushnell, D. Eggerth, A. Heitmann, and B. Kojola Long working hours, safety, and health: toward a National Research Agenda Am. J. Ind. Med. 49 11 2006 930 942
14. S. Folkard, and D.A. Lombardi Modeling the impact of the components of long work hours on injuries and accidents Am. J. Ind. Med. 49 11 2006 953 963
15. O. Lindroos, W. Aspmana, G. Lidestav, and G. Neely Accidents in family forestry's firewood production Accident Anal. Prev. 40 2008 877 886
16. C. Sundstrom-Frisk Behavioural control through piece-rate wages J. Occup. Accid. 6 1984 49 59
17. C. Stave, and M. Törner Exploring the organisational preconditions for occupational accidents in food industry: a qualitative approach Safety Sci. 45 2007 355 371
18. P. Antao, T. Almeida, C. Jacinto, and C. Guedes Soares Causes of occupational accidents in the fishing sector in Portugal Safety Sci. 46 2008 885 899
19. C. Jacinto, M. Canoa, and C. Guedes Soares Workplace and organisational factors in accident analysis within the food industry Safety Sci. 47 2009 626 635
20. U. Varonen, and M. Mattila The safety climate and its relationship to safety practices, safety of the work environment and occupational accidents in eight wood-processing companies Accident Anal. Prev. 32 2000 761 769
21. M. Picard, S.A. Girard, M. Simard, R. Larocque, and T. Leroux Association of work-related accidents with noise exposure in the workplace and noise-induced hearing loss based on the experience of some 240,000 person-years of observation Accident Anal. Prev. 40 2008 1644 1652
22. C.A. Holcroft, and L. Punnett Work environment risk factors for injuries in wood processing J. Safety Res. 40 2009 247 255
23. D. Attwood, F. Khan, and B. Veitch Occupational accident models - where have we been and where are we going? J. Loss Prevent. Proc. 19 2006 664 682
24. F.C. Breslin, E. Tompa, R. Zhao, and J.D. Pole The relationship between job tenure and work disability absence among adults: a prospective study Accident Anal. Prev. 40 1 2008 368 375
25. P.S. Paul, and J. Maiti The synergic role of sociotechnical and personal characteristics on work injuries in mines Ergonomics 51 5 2008 737 767
26. K. Pearson On lines and planes of closest fit to systems of points in space Philos. Mag. 2 6 1901 559 572
27. H. Hotelling Analysis of a complex of statistical variables into principal components J. Educ. Psychol. 24 6-7 1933 417 441 498-520
28. T. Chen, E. Martin, and G. Montague Robust probabilistic PCA with missing data and contribution analysis for outlier detection Comput. Stat. Data An. 53 12 2009 3706 3716
29. N.P. Sajama, and A. Orlitsky Semi-parametric exponential family PCA Adv. Neur. In. 17 2004 1177 1184
30. A. Kaban, and M. Girolami A combined latent class and trait model for the analysis and visualization of discrete data IEEE T. Pattern Anal. 23 8 2001 859 872
31. M. Collins, S. Dasgupta, R.E. Schapire, A generalization of principal components analysis to the exponential family, in: T.G. Dietterich, S. Becker, Z. Ghahramani (Eds.), Advances in Neural Information Processing Systems, vol. 14, 2002.
32. H.H. Bauschke, X. Wang, J. Ye, and X. Yuan Bregman distances and Chebyshev sets J. Approx. Theory 159 1 2009 3 25
33. J.H. Friedman Multivariate adaptive regression splines (with discussion) Ann. Stat. 19 1991 1 141
34. T. Hastie, R. Tibshirani, and J. Friedman The Elements of Statistical Learning 2003 Springer-Verlag New York
35. Q.S. Xu, M. Daszykowski, B. Walczak, F. Daeyaert, M.R. de Jonge, J. Heeres, L.M.H. Koymans, P.J. Lewi, H.M. Vinkers, P.A. Janssen, and D.L. Massart Multivariate adaptive regression splines - studies of HIV reverse transcriptase inhibitors Chemometr. Intell. Lab. 72 1 2004 27 34
36. J.H. Friedman, and C.B. Roosen An introduction to multivariate adaptive regression splines Stat. Methods Med. Res. 4 1995 197 217
37. S.S. Sekulic, and B.R. Kowalski MARS: a tutorial J. Chemometr. 6 1992 199 216
38. F.J. De Cos Juez, F. Sánchez Lasheras, P.J. García Nieto, and M.A. Suárez Suárez A new data mining methodology applied to the modelling of the influence of diet and lifestyle on the value of bone mineral density in post-menopausal women Int. J. Comput. Math. 86 10 2009 1878 1887
39. V. Vapnik The Nature of Statistical Learning Theory 1995 Springer New York
40. I. Steinwart, and A. Christmann Support Vector Machines 2008 Springer New York
41. B. Schölkopf, A.J. Smola, R.C. Williamson, and P.L. Bartlett New support vector algorithms Neural Comput. 12 2000 1207 1245
42. V. Vapnik Statistical Learning Theory 1998 Wiley-Interscience New York
43. X. Li, D. Lord, Y. Zhang, and Y. Xie Predicting motor vehicle crashes using support vector machine models Accident Anal. Prev. 40 2008 1611 1618
44. F.J. de Cos Juez, P.J. García Nieto, J. Martínez Torres, and J. Taboada Analysis of lead times of metallic components in the aerospace industry through a supported vector machine model Math. Comput. Model. 52 7-8 2010 1177 1184
45. F. Sánchez Lasheras, J.A. Vilán Vilán, P.J. García Nieto, and J.J. del Coz Díaz The use of design of experiments to improve a neural network model in order to predict the thickness of the chromium layer in a hard chromium plating process Math. Comput. Model. 52 7-8 2010 1169 1176
46. O. Lindroos, and L. Burström Accident rates and types among self-employed private forest owners Accident Anal. Prev. 42 6 2010 1729 1735
47. M.A. Camino López, D.O. Ritzel, I. Fontaneda, and O.J. Gonzalez Alcantara Construction industry accidents in Spain J. Safety Res. 39 5 2008 497 507
48. S. Salminen Traffic accidents during work and work commuting Int. J. Ind. Ergonom. 26 1 2000 75 85
49. B.P. McCall, and I.B. Horwitz Occupational vehicular accident claims: a workers' compensation analysis of Oregon truck drivers 1990-1997 Accident Anal. Prev. 37 4 2005 767 774
50. S. Boufous, and A. Williamson Work-related traffic crashes: a record linkage study Accident Anal. Prev. 38 1 2006 14 21
51. B. Charbotel, J.L. Martin, and M. Chiron Work-related versus non-work-related road accidents, developments in the last decade in France Accident Anal. Prev. 42 2 2010 604 611
52. T.M. Nelson Fatigue, mindset and ecology in the hazard dominant environment Accident Anal. Prev. 29 4 1997 409 415
53. G. Maycock Sleepiness and driving: the experience of UK car drivers Accident Anal. Prev. 29 4 1997 453 462
54. P.K. Nag, and V.G. Patel Work accidents among shift workers in industry Int. J. Ind. Ergonom. 21 1998 275 281
55. Z. Li, K. Jiao, M. Chen, and C. Wang Reducing the effects of driving fatigue with magnitopuncture stimulation Accident Anal. Prev. 36 4 2004 501 505
56. T. Oron-Gilad, A. Ronen, and D. Shinar Alertness maintaining tasks (AMTs) while driving Accident Anal. Prev. 40 2008 851 860
57. S. DeArmond, and P.Y. Chen Occupational safety: the role of workplace sleepiness Accident Anal. Prev. 41 5 2009 976 984
58. S. Niu Ergonomics and occupational safety and health: an ILO perspective Appl. Ergon. 41 6 2010 744 753
59. G. Luria The social aspects of safety management: trust and safety climate Accident Anal. Prev. 42 4 2010 1288 1295
60. L.M. Kath, V.J. Magley, and M. Marmet The role of organizational trust in safety climate's influence on organizational outcomes Accident Anal. Prev. 42 5 2010 1488 1497
61. G.M.H. Swaen, L.P.G.M. van Amelsvoort, U. Bültmann, J.J.M. Slangen, and I.J. Kant Psychosocial work characteristics as risk factors for being injured in an occupational accident J. Occup. Environ. Med. 46 6 2004 521 527
62. L. Anderson Snyder, A.D. Krauss, P.Y. Chen, S. Finlinson, and Y. Huang Occupational safety: application of the job demand-control-support model Accident Anal. Prev. 40 5 2008 1713 1723
63. S. Martín-Fernández, I. de los Ríos, A. Cazorla, and E. Martínez-Falero Pilot study on the influence of stress caused by the need to combine work and family on occupational accidents in working women Safety Sci. 47 2009 192 198
64. J. Barling, E.K. Kelloway, and R.D. Iverson High quality work, job satisfaction and occupational injuries J. Appl. Psychol. 88 2 2003 276 283
65. F.G. Benavides, J. Benach, C. Muntaner, G.L. Delclos, N. Catot, and M. Amable Associations between temporary employment and occupational injury: what are the mechanisms? J. Occup. Environ. Med. 63 6 2006 416 421
66. B.Y. Jeong Comparisons of variables between fatal and nonfatal accidents in manufacturing industry Int. J. Ind. Ergonom. 23 5-6 1999 565 572
67. B. Fabiano, F. Curro, and R. Pastorino A study of the relationship between occupational injuries and firm size and type in the Italian industry Safety Sci. 42 7 2004 587 600
68. C.F. Chi, C.C. Yang, and Z.L. Chen In-depth accident analysis of electrical fatalities in the construction industry Int. J. Ind. Ergonom. 39 4 2009 635 644
69. J.A.K. Suykens, T. Van Gestel, J. De Brabanter, B. De Moor, and J. Vandewalle Least Squares Support Vector Machines 2002 World Scientific Publishing Company New York
70. Y. Zhang, Y. Xie, Forecasting of short-term freeway volume with support vector machines, Transportation Research Record, in: Journal of the Transportation Research Board, No. 2024, TRB, National Research Council, Washington, DC, 2007, pp. 92-99.