APA (7th ed.) Citation

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

Chicago Style (17th ed.) Citation

Ni, Linghao, Fengqiong Chen, Ruihong Ran, Xiaoping Li, Nan Jin, Huadong Zhang, and Bin Peng. "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 (2022): 14300. https://doi.org/10.3390/ijerph192114300.

MLA (9th ed.) Citation

Ni, Linghao, et al. "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, vol. 19, no. 21, 2022, p. 14300, https://doi.org/10.3390/ijerph192114300.