The purpose of this article is to present a structured review of publications utilizing machine
learning methods to aid in engineering risk assessment. A keyword search is performed to …

This study adopted a three-step holistic review approach consisting of bibliometric review,
scientometric analysis, and in-depth discussion to gain a deeper understanding of the …

The major problem of many on-line web sites is the presentation of many choices to the
client at a time; this usually results to strenuous and time consuming task in finding the right …

Workplace accidents in construction commonly cause fatal injury and fatality, resulting in
economic loss and negative social impact. Analysing accident description reports helps …

In order to determine how data mining techniques (DMT) and their applications have
developed, during the past decade, this paper reviews data mining techniques and their …

Although, the usefulness of the machine learning (ML) technique in predicting future
outcomes has been established in different domains of applications (eg, heath care), its …

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

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 …

The development of intelligence and informatization is the inevitable trend of safety
production in coal enterprises. Data mining technology plays an important role in promoting …

Technology application is deemed an effective way to further construction safety
management. Various technologies have been adopted for construction safety, including …