Characteristics of fatal occupational injuries in migrant workers in South Korea: A machine learning study.

ABSTRACT:

Objective

Analysis of occupational injuries is essential for developing preventive strategies. However, few studies have evaluated severe occupational injuries in migrant workers from the perspective of gender. Therefore, using a new analytical method, this study was performed to identify gender-specific characteristics associated with fatal occupational injuries among migrant workers; the interactions between these factors, were also analyzed. In addition, we compared the utility of explainable artificial intelligence (XAI) using SHapley Additive exPlanations (SHAP) with logistic regression (LR) and discuss caveats regarding its use.

Materials and methods

We analyzed national statistics for occupational injuries among migrant workers (n = 67,576) in South Korea betwe

SUBMITTER: Lee JY 

PROVIDER: S-EPMC10559917 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature