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...

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Detalles Bibliográficos
Autores principales: Lu, Yaoqin, Yan, Huan, Zhang, Lijiang, Liu, Jiwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Research Article
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

Internet

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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