1. bookVolume 3 (2021): Issue 1 (May 2021)
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Zeitschrift
Erstveröffentlichung
30 Mar 2019
Erscheinungsweise
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access type Open Access

Prediction of the Work-Related Injuries Based on Neural Networks

Online veröffentlicht: 20 Jun 2021
Seitenbereich: 19 - 37
Eingereicht: 10 Dec 2020
Akzeptiert: 02 Feb 2021
Zeitschriftendaten
License
Format
Zeitschrift
Erstveröffentlichung
30 Mar 2019
Erscheinungsweise
1 Hefte pro Jahr
Sprachen
Englisch

Chena, H., Luoa, X., 2016. Severity Prediction Models of Falling Risk for Workers et Height. Procedia Engineering, 164, 439-445, DOI: 10.1016/j.proeng.2016.11.642. Search in Google Scholar

Ciarapica, F.E., Giacchetta, G., 2009. Classification and prediction of occupational injury risk using soft computing techniques: An Italian study, Safety Science, 47(1), 36-49, DOI: 10.1016/j.ssci.2008.01.006. Search in Google Scholar

Delen, D., Sharda, R., Bessonov, M., 2005. Identifying significant predictors of injury severity in traffic accidents using a series of artificial neural networks, Accident Analysis and Prevention, 38(3), 434-444, DOI: 10.1016/j.aap.2005.06.024. Search in Google Scholar

Karra, V.K., 2005. Analysis of non-fatal and fatal injury rates for mine operator and contractor employees and the influence of work location, Journal of Safety Research 36(5), 413-421, DOI: 10.1016/j.jsr.2005.08.002. Search in Google Scholar

Rivas, T., Paz, M., Martin, J.E., Matias, J.A., Garcia, J.F., Taboada, J., 2011. Explaining and predicting workplace accidents using data-mining techniques, Reliability Engineering and System Safety 96(7), 739-747, DOI: 10.1016/j.ress. 2011.03.006. Search in Google Scholar

Sari, M., Duzgun, H.S.B., Karpuz, C., Selcuk, A.S., 2004. Accident analysis of two Turkish underground coal mines, Safety Science, 4298, 675-690, DOI: 10.1016/j. ssci.2003.11.002. Search in Google Scholar

Sarkar, S., Vinay, S., Raj, R., Maiti, J., Mitra, P., 2019. Application of optimized machine learning techniques for prediction of occupational accidents, Computers and Operations Research, 106, 210-224, DOI: 10.1016/j.cor.2018.02.021. Search in Google Scholar

Stojadinovic, S., Svrkuta, I., Petrović, D., Denic, M., Pantovic, R., Milić, V., 2012. Mining injuries in Serbian underground coal mines – A 10-year study, Injury 43(12), 2001-2005, DOI: 10.1016/j.injury.2011.08.018. Search in Google Scholar

Stylianou, N., Akbarov, A., Kontopantelis, E., Buchan, I, Dunn, K.W., 2015. Mortality risk prediction in burn injury: Comparison of logistic regression with machine learning approaches, Burns 41(5), 925-934. DOI: 10.1016/j.burns.2015.03.016. Search in Google Scholar

Vallmuur, K., 2015. Machine learning approaches to analysing textual injury surveillance data: A systematic review, Accident Analysis and Prevention, 79, 41-49. DOI: 10.1016/j.aap.2015.03.018. Search in Google Scholar

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