International Journal of Injury Control and Safety Promotion This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.
Enhancing safety of construction workers in Korea: an integrated text mining and machine learning framework for predicting accident types
This study aims to develop a prediction model for nine prevalent types of construction accidents, utilizing construction tasks, activities, and tools/materials as input features, through the application of machine learning-based multi-class classification algorithms. 152,867 construction accident summary reports, composed of both structured (construction task, construction activity, accident type) and unstructured data (tools/materials) were used for the study. The study employed several data processing techniques, including keyword extraction through text mining, Boruta feature selection, and SMOTE data resampling enhance...
Source: International Journal of Injury Control and Safety Promotion - January 2, 2024 Category: Accident Prevention Authors: Joon Woo Yoo Junsung Park Heejun Park Source Type: research
Systems-thinking-based road safety research: the way forward
Int J Inj Contr Saf Promot. 2023 Dec;30(4):471-472. doi: 10.1080/17457300.2023.2282001. Epub 2023 Nov 30.NO ABSTRACTPMID:38035572 | DOI:10.1080/17457300.2023.2282001 (Source: International Journal of Injury Control and Safety Promotion)
Source: International Journal of Injury Control and Safety Promotion - November 30, 2023 Category: Accident Prevention Authors: Geetam Tiwari Source Type: research