A Deep Learning-Based Model for Predicting Abnormal Liver Function in Workers in the Automotive Manufacturing Industry: A Cross-Sectional Survey in Chongqing, China

To identify the influencing factors and develop a predictive model for the risk of abnormal liver function in the automotive manufacturing industry works in Chongqing. Automotive manufacturing workers in Chongqing city surveyed during 2019–2021 were used as the study subjects. Logistic regression an...

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Detalles Bibliográficos
Autores principales: Ni, Linghao, Chen, Fengqiong, Ran, Ruihong, Li, Xiaoping, Jin, Nan, Zhang, Huadong, Peng, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9655771/
https://www.ncbi.nlm.nih.gov/pubmed/36361178
http://dx.doi.org/10.3390/ijerph192114300

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9655771/
https://www.ncbi.nlm.nih.gov/pubmed/36361178
http://dx.doi.org/10.3390/ijerph192114300

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