Data-driven intelligent technologies are promoting a disruptive digital transformation of
human society. Industrial accident prevention is also amid this change. Although many …

It is crucial to extract knowledge from past accidents to prevent future ones. To this end,
narrative classification is required in text mining. This autocoding process can be seen as a …

Introduction: Ensuring occupational health and safety is an enormous concern for
organizations, as accidents not only harm workers but also result in financial losses …

To understand the alignment between reasonings of humans and artificial intelligence (AI)
models, this empirical study compared the human text classification performance and …

Introduction Over the past few years, classic Machine Learning approaches such as
Multinomial Naïve Bayes, Support Vector Machine as well as regularized Logistic …

Accident investigation reports provide useful knowledge to support companies to propose
preventive and mitigative measures. However, the information presented in accident report …

This chapter provides an overall perspective on human decision making to human factors
practitioners, developers of decision tools, product designers, and others who are interested …

Quantitative risk analysis (QRA) is a systematic methodology to identify, analyze, and
calculate risks of an operation or installation of hazardous facilities. One of the first steps of a …

Background Emergency department (ED)-based injury surveillance systems across many
countries face resourcing challenges related to manual validation and coding of data …

Availability of summarized occupational injury data is essential for establishing complete
incident surveillance systems, targeting incident preventative efforts, assessing the efficacy …