Predicting occupational injury causal factors using text-based analytics : A systematic review

• Main Authors: Mohamed Zul Fadhli, Khairuddin, Khairunnisa, Hasikin, Nasrul Anuar, Abd Razak, Lai, Khin Wee, Mohd Zamri, Osman, Aslan, Muhammet Fatih, Sabanci, Kadir, Muhammad Mokhzaini, Azizan, Satapathy, Suresh Chandra
• Format: Article
• Language: English
• Published: Frontiers Media S.A. 2022
• Subjects: QA75 Electronic computers. Computer science; QA76 Computer software; T Technology (General); TA Engineering (General). Civil engineering (General)
• Online Access: http://umpir.ump.edu.my/id/eprint/37433/1/Predicting%20occupational%20injury%20causal%20factors%20using%20text-based%20analytics_A%20systematic%20review.pdf; http://umpir.ump.edu.my/id/eprint/37433/; https://doi.org/10.3389/fpubh.2022.984099; https://doi.org/10.3389/fpubh.2022.984099

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 incidents occurred. Thus, the narrative is a useful information to extract, classify and analyze occupational injury. Th...