The present study reviews the publications that examine the application of machine learning
(ML) approaches in occupational accident analysis. The review process includes four …

The objective of this paper is to examine the safety climate knowledge epistemology using
bibliometric and systematic literature network analysis. For this purpose, bibliometric …

Safety and health are intricately interwoven and have become indispensable to the thriving
business world and anthropology. It is concerned with ensuring employees' physical …

Although the utility of the machine learning (ML) techniques is established in occupational
accident domain using reactive data, its exploration in predicting injury severity using both …

Mapping knowledge domain (MKD) is an important application of visualization technology in
Bibliometrics, which has been extensively applied in psychology, medicine, and information …

Objective To synthesise recent research on the use of machine learning approaches to
mining textual injury surveillance data. Design Systematic review. Data sources The …

As a way of obtaining a visual expression of knowledge, mapping knowledge domain (MKD)
provides a vision-based analytic approach to scientometric analysis which can be used to …

In this work, we conducted a visualized bibliometric analysis to map the research trends of
machine learning in engineering (MLE) based on articles indexed in the Web of Science …

It is important to systematically identify the contributing factors in coal mine accidents from a
large-scale analysis of accident reports. However, previous scholars have mainly used …

Safety Science was established in 1976 as the Journal of Occupational Accidents. Safety
Science was established with the vision of promoting multidisciplinary research in the …