Bayesian network model to diagnose WMSDs with working characteristics

References

• Martimo KP. Musculoskeletal disorders, disability and work [dissertation]. Helsinki: Finnish Institute of Occupational Health; 2010.
   Google Scholar
• Occupational Safety and Health Administration (OSHA). Occupational injury and illness recording and reporting requirements – NAICS update and reporting versions. Fed Regist. 2014;79(181):56129. Available at: https://www.osha.gov/laws-regs/federalregister/2014-09-18
   PubMedGoogle Scholar
• Kim EA, Nakata M. Work-related musculoskeletal disorders in Korea and Japan: a comparative description. Ann Occup Environ Med. 2014;26(1):38–44. doi: 10.1186/s40557-014-0038-8
   PubMedGoogle Scholar
• Suárez Sánchez A, Iglesias-Rodríguez FJ, Riesgo Fernández P, et al. Applying the K-nearest neighbor technique to the classification of workers according to their risk of suffering musculoskeletal disorders. Int J Ind Ergon. 2016;52:92–99. doi: 10.1016/j.ergon.2015.09.012
   Web of Science ®Google Scholar
• Chandna P, Deswal S, Pal M. Semi-supervised learning based prediction of musculoskeletal disorder risk. J Ind Syst Eng. 2010;3(4):291–295.
   Google Scholar
• Abdelhameed EH, Sato N, Morita Y. Neural network-based shoulder instability diagnosis modelling for robot-assisted rehabilitation systems. Syst Sci Control Eng. 2015;3(1):514–523. doi: 10.1080/21642583.2015.1108884
   Web of Science ®Google Scholar
• Lugay CIP, Matias AC. Predictive models of work-related musculoskeletal disorders (WMSDs) among sewing machine operators in the garments industry. Asia Pac J Multidiscip Res. 2015;3(1):56–64.
   Google Scholar
• Sachdeva A, Gupta BD, Anand S. Minimizing musculoskeletal disorders through fuzzified neural network approach. Int J Artif Intell Appl. 2011;2(3):72–85.
   Google Scholar
• Pavlovic-Veselinovic S, Hedge A, Veselinovic M. An ergonomic expert system for risk assessment of work-related musculo-skeletal disorders. Int J Ind Ergon. 2016;53:130–139. doi: 10.1016/j.ergon.2015.11.008
   Web of Science ®Google Scholar
• Heckerman D. A tutorial on learning with Bayesian networks. In: Holmes DE and Jain LC, editors. Innovations in Bayesian networks. Berlin: Springer; 2008. p. 33–82.
   Google Scholar
• Van Gerven MAJ, Taal BG, Lucas PJF. Dynamic Bayesian networks as prognostic models for clinical patient management. J Biomed Inform. 2008;41(4):515–529. doi: 10.1016/j.jbi.2008.01.006
   PubMed Web of Science ®Google Scholar
• Charitos T, Van Der Gaag LC, Visscher S, et al. A dynamic Bayesian network for diagnosing ventilator-associated pneumonia in ICU patients. Expert Syst Appl. 2009;36(2):1249–1258. doi: 10.1016/j.eswa.2007.11.065
   Web of Science ®Google Scholar
• Seixas FL, Zadrozny B, Laks J, et al. A Bayesian network decision model for supporting the diagnosis of dementia, Alzheimer’s disease and mild cognitive impairment. Comput Biol Med. 2014;51:140–158. doi: 10.1016/j.compbiomed.2014.04.010
   PubMed Web of Science ®Google Scholar
• Cruz-Ramírez N, Acosta-Mesa HG, Carrillo-Calvet H, et al. Diagnosis of breast cancer using Bayesian networks: a case study. Comput Biol Med. 2007;37(11):1553–1564. doi: 10.1016/j.compbiomed.2007.02.003
   PubMed Web of Science ®Google Scholar
• Baksh A-A, Khan F, Gadag V, et al. Network based approach for predictive accident modelling. Saf Sci. 2015;80:274–287. doi: 10.1016/j.ssci.2015.08.003
   Web of Science ®Google Scholar
• Martín JE, Rivas T, Matías JM, et al. A Bayesian network analysis of workplace accidents caused by falls from a height. Saf Sci. 2009;47(2):206–214. doi: 10.1016/j.ssci.2008.03.004
   Web of Science ®Google Scholar
• Arroyo-Figueroa G, Sucar LE, Villavicencio A. Probabilistic temporal reasoning and its application to fossil power plant operation. Expert Syst Appl. 1998;15(3):317–324. doi: 10.1016/S0957-4174(98)00038-4
   Web of Science ®Google Scholar
• García-Herrero S, Mariscal MA, García-Rodríguez J, et al. Working conditions, psychological/physical symptoms and occupational accidents. Bayesian network models. Saf Sci. 2012;50(9):1760–1774. doi: 10.1016/j.ssci.2012.04.005
   Web of Science ®Google Scholar
• Roquelaure Y, Ha C, Nicolas G, et al. Attributable risk of carpal tunnel syndrome according to industry and occupation in a general population. Arthritis Care Res. 2008;59(9):1341–1348. doi: 10.1002/art.24002
   Web of Science ®Google Scholar
• Biswas K, Hassan K. A test of association between working hour and work family conflict: a glimpse on Dhaka’s female white collar professionals. Int J Bus Manag. 2009;4(5):27. doi: 10.5539/ijbm.v4n5p27
   Google Scholar
• Sparks K, Cooper C, Fried Y, et al. The effects of hours of work on health: a meta-analytic review. J Occup Organ Psychol. 1997;70(4):391–408. doi: 10.1111/j.2044-8325.1997.tb00656.x
   Web of Science ®Google Scholar
• Ezoe S, Morimoto K. Behavioral lifestyle and mental health status of Japanese factory workers. Prev Med. 1994;23(1):98–105. doi: 10.1006/pmed.1994.1014
   PubMed Web of Science ®Google Scholar
• Tierney D, Romito P, Messing K. She ate not the bread of idleness: exhaustion is related to domestic and salaried working conditions among 539 Québec hospital workers. Women Health. 1990;16(1):21–42. doi: 10.1300/J013v16n01_03
   PubMed Web of Science ®Google Scholar
• Landau K, Rademacher H, Meschke H, et al. Musculoskeletal disorders in assembly jobs in the automotive industry with special reference to age management aspects. Int J Ind Ergon. 2008;38(7):561–576. doi: 10.1016/j.ergon.2008.01.006
   Web of Science ®Google Scholar
• Wallace CM, Eagleson G, Waldersee R. The sacrificial HR strategy in call centers. Int J Serv Ind Manag. 2000;11(2):174–184. doi: 10.1108/09564230010323741
   Google Scholar
• Moriguchi CS, Carnaz L, Veiersted KB, et al. Occupational posture exposure among construction electricians. Appl Ergon. 2013;44(1):86–92. doi: 10.1016/j.apergo.2012.05.002
   PubMed Web of Science ®Google Scholar
• Cho C-Y, Hwang Y-S, Cherng R-J. Musculoskeletal symptoms and associated risk factors among office workers with high workload computer use. J Manip Physiol Ther. 2012;35(7):534–540. doi: 10.1016/j.jmpt.2012.07.004
   PubMed Web of Science ®Google Scholar
• Schoenfisch AL, Pompeii LA, Myers DJ, et al. Objective measures of adoption of patient lift and transfer devices to reduce nursing staff injuries in the hospital setting. Am J Ind Med. 2011;54(12):935–945. doi: 10.1002/ajim.20998
   PubMed Web of Science ®Google Scholar
• Walker-Bone K, Palmer KT. Musculoskeletal disorders in farmers and farm workers. Occup Med (Lond). 2002;52(8):441–450. doi: 10.1093/occmed/52.8.441
   PubMed Web of Science ®Google Scholar
• Hildebrandt VH, Bongers PM, Van Dijk FJH, et al. Dutch musculoskeletal questionnaire: description and basic qualities. Ergonomics. 2001;44(12):1038–1055. doi: 10.1080/00140130110087437
   PubMed Web of Science ®Google Scholar
• Rossignol AM, Morse EP, Summers VM, et al. Video display terminal use and reported health symptoms among Massachusetts clerical workers. J Occup Environ Med. 1987;29(2):112–118.
   Web of Science ®Google Scholar
• da Costa BR, Vieira ER. Risk factors for work-related musculoskeletal disorders: a systematic review of recent longitudinal studies. Am J Ind Med. 2010;53(3):285–323.
   PubMed Web of Science ®Google Scholar
• Blatter BM, Bongers PM. Duration of computer use and mouse use in relation to musculoskeletal disorders of neck or upper limb. Int J Ind Ergon. 2002;30(4):295–306. doi: 10.1016/S0169-8141(02)00132-4
   Web of Science ®Google Scholar
• Wærsted M, Westgaard RH. Working hours as a risk factor in the development of musculoskeletal complaints. Ergonomics. 1991;34(3):265–276. doi: 10.1080/00140139108967312
   PubMed Web of Science ®Google Scholar
• Punnett L, Wegman DH. Work-related musculoskeletal disorders: the epidemiologic evidence and the debate. J Electromyogr Kinesiol. 2004;14(1):13–23. doi: 10.1016/j.jelekin.2003.09.015
   PubMed Web of Science ®Google Scholar
• Grant KA, Habes DJ. An analysis of scanning postures among grocery cashiers and its relationship to check stand design. Ergonomics. 1995;38(10):2078–2090. doi: 10.1080/00140139508925252
   PubMed Web of Science ®Google Scholar
• Thomsen JF, Hansson GÅ, Mikkelsen S, et al. Carpal tunnel syndrome in repetitive work: a follow-up study. Am J Ind Med. 2002;42(4):344–353. doi: 10.1002/ajim.10115
   PubMed Web of Science ®Google Scholar
• Andersen JH, Thomsen JF, Overgaard E, et al. Computer use and carpal tunnel syndrome: a 1-year follow-up study. JAMA. 2003;289(22):2963–2969. doi: 10.1001/jama.289.22.2963
   PubMed Web of Science ®Google Scholar
• Vieira ER, Svoboda S, Belniak A, et al. Work-related musculoskeletal disorders among physical therapists: an online survey. Disabil Rehabil. 2016;38(6):552–557. doi: 10.3109/09638288.2015.1049375
   PubMed Web of Science ®Google Scholar
• Davis KG, Kotowski SE. Understanding the ergonomic risk for musculoskeletal disorders in the United States agricultural sector. Am J Ind Med. 2007;50(7):501–511. doi: 10.1002/ajim.20479
   PubMed Web of Science ®Google Scholar
• Cheung K, Gillen M, Faucett J, et al. The prevalence of and risk factors for back pain among home care nursing personnel in Hong Kong. Am J Ind Med 2006;49(1);14–22. doi: 10.1002/ajim.20243
   PubMed Web of Science ®Google Scholar
• Marras WS, Fathallah FA, Miller RJ, et al. Accuracy of a three-dimensional lumbar motion monitor for recording dynamic trunk motion characteristics. Int J Ind Ergon. 1992;9(1):75–87. doi: 10.1016/0169-8141(92)90078-E
   Google Scholar
• Westgaard RH, Vasseljen O, Holte KA. Trapezius muscle activity as a risk indicator for shoulder and neck pain in female service and sales workers with low biomechanical exposure. Ergonomics. 2001;44(3):339–353. doi: 10.1080/00140130119649
   PubMed Web of Science ®Google Scholar
• Byvatov E, Fechner U, Sadowski J, et al. Comparison of support vector machine and artificial neural network systems for drug/nondrug classification. J Chem Inf Comput Sci. 2003;43(6):1882–1889. doi: 10.1021/ci0341161
   PubMedGoogle Scholar