Occupational Injury Risk Mitigation: Machine Learning Approach and Feature Optimization for Smart Workplace Surveillance

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 severity. A...

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Detalles Bibliográficos
Autores principales: Khairuddin, Mohamed Zul Fadhli, Lu Hui, Puat, Hasikin, Khairunnisa, Abd Razak, Nasrul Anuar, Lai, Khin Wee, Mohd Saudi, Ahmad Shakir, Ibrahim, Siti Salwa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9653932/
https://www.ncbi.nlm.nih.gov/pubmed/36360843
http://dx.doi.org/10.3390/ijerph192113962

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9653932/
https://www.ncbi.nlm.nih.gov/pubmed/36360843
http://dx.doi.org/10.3390/ijerph192113962

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