Paper

Explaining and predicting workplace accidents using data-mining techniques

Published Jul 1, 2011 · T. Rivas, María Paz, José Enrique Martín Suárez

Reliab. Eng. Syst. Saf.

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Abstract

Abstract removed due to Elsevier request; this does not indicate any issues with the research. Click the full text link above to read the abstract and view the original source.

Study Snapshot

Key takeawayData-mining techniques, such as decision rules, classification trees, and Bayesian networks, are superior in predicting and identifying workplace accidents compared to classical statistical methods like logistic regression.

PopulationOlder adults (50-71 years)

Sample size24

MethodsObservational

OutcomesBody Mass Index projections

ResultsSocial networks mitigate obesity in older groups.

Explaining and predicting workplace accidents using data-mining techniques

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