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2021 | OriginalPaper | Chapter

Data Analysis of Workplace Accidents - A Case Study

Authors : Inês P. Sena, João Braun, Ana I. Pereira

Published in: Optimization, Learning Algorithms and Applications

Publisher: Springer International Publishing

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Abstract

The welfare and safety of the employees of an enterprise is a great concern and priority in a responsible and successful organization. The identification of patterns of work-related accidents is important to reduce and prevent further mishaps and injuries. To improve the safety of the work environment, accidents related data must be analyzed to identify the possible risk factors and their effects on the type of accident and its level of severity. Thus, data related to workplace accidents in fishmonger stores were collected from a Portuguese retail company where it was analyzed with statistical, clustering, and classification techniques to identify potential underlying correlation and patterns between the data, and in this way, collecting important information to prevent future accident or lesions.

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Literature
2.
go back to reference Blanchard. D.: A smarter way to safety: the possibilities for improving workplace safety are limited only by the imagination. Healthy Attitude, Penton Media (2019) Blanchard. D.: A smarter way to safety: the possibilities for improving workplace safety are limited only by the imagination. Healthy Attitude, Penton Media (2019)
3.
go back to reference Jiang, L., Lavaysse, L.M., Probst, T.M.: Safety climate and safety outcomes: a meta-analytic comparison of universal vs. industry-specific safety climate predictive validity. Work Stress 33(1), 41–57 (2019)CrossRef Jiang, L., Lavaysse, L.M., Probst, T.M.: Safety climate and safety outcomes: a meta-analytic comparison of universal vs. industry-specific safety climate predictive validity. Work Stress 33(1), 41–57 (2019)CrossRef
4.
go back to reference Anderson, V.P., Schulte, P.A., Novakovich, J., Pfirman, D., Bhattacharya, A.: Wholesale and retail trade sector occupational fatal and nonfatal injuries and illnesses from 2006 to 2016: implications for intervention. Am. J. Ind. Med. 63(2), 121–134 (2020)CrossRef Anderson, V.P., Schulte, P.A., Novakovich, J., Pfirman, D., Bhattacharya, A.: Wholesale and retail trade sector occupational fatal and nonfatal injuries and illnesses from 2006 to 2016: implications for intervention. Am. J. Ind. Med. 63(2), 121–134 (2020)CrossRef
5.
go back to reference Ajayi, A., et al.: Optimised big data analytics for health and safety hazards prediction in power infrastructure operations. Saf. Sci. 125, 104656 (2020)CrossRef Ajayi, A., et al.: Optimised big data analytics for health and safety hazards prediction in power infrastructure operations. Saf. Sci. 125, 104656 (2020)CrossRef
6.
go back to reference Kakhki, F.D., Freeman, S.A., Mosher, G.A.: Evaluating machine learning performance in predicting injury severity in agribusiness industries. Saf. Sci. 117, 257–262 (2019)CrossRef Kakhki, F.D., Freeman, S.A., Mosher, G.A.: Evaluating machine learning performance in predicting injury severity in agribusiness industries. Saf. Sci. 117, 257–262 (2019)CrossRef
7.
go back to reference Liu, M., Tang, P., Liao, P.-C., Xu, L.: Propagation mechanics from workplace hazards to human errors with dissipative structure theory. Saf. Sci. 126, 104661 (2020)CrossRef Liu, M., Tang, P., Liao, P.-C., Xu, L.: Propagation mechanics from workplace hazards to human errors with dissipative structure theory. Saf. Sci. 126, 104661 (2020)CrossRef
8.
go back to reference Hartigan, J.A., Wong, M.A.: Algorithm as 136: a k-means clustering algorithm. J. Roy. Stat. Soc.: Ser. C (Appl. Stat.) 28(1), 100–108 (1979)MATH Hartigan, J.A., Wong, M.A.: Algorithm as 136: a k-means clustering algorithm. J. Roy. Stat. Soc.: Ser. C (Appl. Stat.) 28(1), 100–108 (1979)MATH
9.
go back to reference Buitinck, L., et al.: API design for machine learning software: experiences from the scikit-learn project. In: ECML PKDD Workshop: Languages for Data Mining and Machine Learning 2013, pp. 108–122 (2013) Buitinck, L., et al.: API design for machine learning software: experiences from the scikit-learn project. In: ECML PKDD Workshop: Languages for Data Mining and Machine Learning 2013, pp. 108–122 (2013)
10.
go back to reference Pedregosa, F., et al.: Scikit-learn: machine learning in Python. J. Mach. Learn. Res. 12, 2825–2830 (2011)MathSciNetMATH Pedregosa, F., et al.: Scikit-learn: machine learning in Python. J. Mach. Learn. Res. 12, 2825–2830 (2011)MathSciNetMATH
12.
go back to reference Wold, S., Esbensen, K., Geladi, P.: Principal component analysis. Chemom. Intell. Lab. Syst. 2(1–3), 37–52 (1987)CrossRef Wold, S., Esbensen, K., Geladi, P.: Principal component analysis. Chemom. Intell. Lab. Syst. 2(1–3), 37–52 (1987)CrossRef
13.
go back to reference Rousseeuw, P.J.: Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. J. Comput. Appl. Math. 20, 53–65 (1987)CrossRef Rousseeuw, P.J.: Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. J. Comput. Appl. Math. 20, 53–65 (1987)CrossRef
14.
go back to reference Kodinariya, T.M., Makwana, P.R.: Review on determining number of cluster in k-means clustering. Int. J. 1(6), 90–95 (2013) Kodinariya, T.M., Makwana, P.R.: Review on determining number of cluster in k-means clustering. Int. J. 1(6), 90–95 (2013)
15.
go back to reference Plotnikov, A.V., Kuznetsov, P.A., Urasova, A.A., Akhmetshin, E.M.: Correlation analysis of the data on the UK and US market for contextual advertising. Int. J. Civ. Eng. Technol. 9(11), 1630–1639 (2018) Plotnikov, A.V., Kuznetsov, P.A., Urasova, A.A., Akhmetshin, E.M.: Correlation analysis of the data on the UK and US market for contextual advertising. Int. J. Civ. Eng. Technol. 9(11), 1630–1639 (2018)
16.
go back to reference Miot, H.A.: Correlation analysis in clinical and experimental studies. J. Vasc. Bras. 17(4), 275–279 (2018)CrossRef Miot, H.A.: Correlation analysis in clinical and experimental studies. J. Vasc. Bras. 17(4), 275–279 (2018)CrossRef
17.
go back to reference Saritas, M.M., Yasar, A.: Performance analysis of ANN and Naive Bayes classification algorithm for data classification. Int. J. Intel. Syst. Appl. Eng. 7(2), 88–91 (2019)CrossRef Saritas, M.M., Yasar, A.: Performance analysis of ANN and Naive Bayes classification algorithm for data classification. Int. J. Intel. Syst. Appl. Eng. 7(2), 88–91 (2019)CrossRef
18.
go back to reference Rimer, M., Martinez, T.: Classification-based objective functions. Mach. Learn. 63(2), 183–205 (2006)CrossRef Rimer, M., Martinez, T.: Classification-based objective functions. Mach. Learn. 63(2), 183–205 (2006)CrossRef
19.
Metadata
Title
Data Analysis of Workplace Accidents - A Case Study
Authors
Inês P. Sena
João Braun
Ana I. Pereira
Copyright Year
2021
DOI
https://doi.org/10.1007/978-3-030-91885-9_42

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