Workplace accidents can cause a catastrophic loss to the company including human injuries
and fatalities. Occupational injury reports may provide a detailed description of how the …

Background This study introduced a novel approach for predicting occupational injury
severity by leveraging deep learning-based text classification techniques to analyze …

The narrative text analytics has recently focused on identifying an accident process in the
various fields of safety such as manufacturing, construction, chemicals, and service. In …

The purpose of this study is to cluster the injury narratives to extract the root causes behind
the accidents. Analysis is done on incident data collected from the database of an integrated …

Most previous studies have neglected the potential of integrating structured data and
unstructured workplace injury reports to perform a predictive analysis of occupational injury …

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

Predicting occupational accident risk using both structured and unstructured (text) data is
broadly an unexplored area of research. Unstructured texts, ie, incident narratives often …

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

Safety occurrence reports can contain valuable information on how incidents occur,
revealing knowledge that can assist safety practitioners. This paper presents and discusses …

The occurrence of work accidents may threaten the workers' health and lead to
consequences for the organizations as well, such as restructuring of work and direct/indirect …