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A Comparative Study on the Prediction of Occupational Diseases in China with Hybrid Algorithm Combing Models
Occupational disease is a huge problem in China, and many workers are under risk. Accurate forecasting of occupational disease incidence can provide critical information for prevention and control. Therefore, in this study, five hybrid algorithm combing models were assessed on their effectiveness an...
Autores principales: | Lu, Yaoqin, Yan, Huan, Zhang, Lijiang, Liu, Jiwen |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6791229/ https://www.ncbi.nlm.nih.gov/pubmed/31662788 http://dx.doi.org/10.1155/2019/8159506 |
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