Ni, L.; Chen, F.; Ran, R.; Li, X.; Jin, N.; Zhang, H.; Peng, B.
A Deep Learning-Based Model for Predicting Abnormal Liver Function in Workers in the Automotive Manufacturing Industry: A Cross-Sectional Survey in Chongqing, China. Int. J. Environ. Res. Public Health 2022, 19, 14300.
https://doi.org/10.3390/ijerph192114300
AMA Style
Ni L, Chen F, Ran R, Li X, Jin N, Zhang H, Peng B.
A Deep Learning-Based Model for Predicting Abnormal Liver Function in Workers in the Automotive Manufacturing Industry: A Cross-Sectional Survey in Chongqing, China. International Journal of Environmental Research and Public Health. 2022; 19(21):14300.
https://doi.org/10.3390/ijerph192114300
Chicago/Turabian Style
Ni, Linghao, Fengqiong Chen, Ruihong Ran, Xiaoping Li, Nan Jin, Huadong Zhang, and Bin Peng.
2022. "A Deep Learning-Based Model for Predicting Abnormal Liver Function in Workers in the Automotive Manufacturing Industry: A Cross-Sectional Survey in Chongqing, China" International Journal of Environmental Research and Public Health 19, no. 21: 14300.
https://doi.org/10.3390/ijerph192114300
APA Style
Ni, L., Chen, F., Ran, R., Li, X., Jin, N., Zhang, H., & Peng, B.
(2022). A Deep Learning-Based Model for Predicting Abnormal Liver Function in Workers in the Automotive Manufacturing Industry: A Cross-Sectional Survey in Chongqing, China. International Journal of Environmental Research and Public Health, 19(21), 14300.
https://doi.org/10.3390/ijerph192114300