Occupational injury risk mitigation: Machine learning approach and feature optimization for smart workplace surveillance

• Main Authors: Khairuddin, Mohamed Zul Fadhli, Hui, Puat Lu, Hasikin, Khairunnisa, Abd Razak, Nasrul Anuar, Lai, Khin Wee, Saudi, Ahmad Shakir Mohd, Ibrahim, Siti Salwa
• Format: Article
• Published: MDPI 2022
• Subjects: GE Environmental Sciences; RA0421 Public health. Hygiene. Preventive Medicine
• Online Access: http://eprints.um.edu.my/40743/
• Institution: Universiti Malaya

Forecasting the severity of occupational injuries shall be all industries' top priority. The use of machine learning is theoretically valuable to assist the predictive analysis, thus, this study attempts to propose a feature-optimized predictive model for anticipating occupational injury severi...