Machine learning assessment of white blood cell counts in workers exposed to benzene: a historical cohort study

To explore the fitting effect of the ARIMA, GM(1,1), and RANSAC model in the changes of white blood cells (WBC) in benzene-exposed workers, and select the optimal model to predict the WBC count of workers. Among 350 employees in an aerospace process manufacturing enterprise in Nanjing, workers with...

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Detalles Bibliográficos
Autores principales: Xin, Yiliang, Wang, Boshen, Zhang, Hengdong, Han, Lei, Zhou, Peng, Ding, Xuexue, Zhu, Baoli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797385/
https://www.ncbi.nlm.nih.gov/pubmed/36577823
http://dx.doi.org/10.1007/s11356-022-24453-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797385/
https://www.ncbi.nlm.nih.gov/pubmed/36577823
http://dx.doi.org/10.1007/s11356-022-24453-z

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