External validation of non-invasive prediction models for identifying ultrasonography-diagnosed fatty liver disease in a Chinese population.

MLA

Shen, Ya-Nan, et al. “External Validation of Non-Invasive Prediction Models for Identifying Ultrasonography-Diagnosed Fatty Liver Disease in a Chinese Population.” Medicine, vol. 96, no. 30, July 2017, p. e7610. EBSCOhost, https://doi.org/10.1097/MD.0000000000007610.

APA

Shen, Y.-N., Yu, M.-X., Gao, Q., Li, Y.-Y., Huang, J.-J., Sun, C.-M., Qiao, N., Zhang, H.-X., Wang, H., Lu, Q., & Wang, T. (2017). External validation of non-invasive prediction models for identifying ultrasonography-diagnosed fatty liver disease in a Chinese population. Medicine, 96(30), e7610. https://doi.org/10.1097/MD.0000000000007610

Chicago

Shen, Ya-Nan, Ming-Xing Yu, Qian Gao, Yan-Yan Li, Jian-Jun Huang, Chen-Ming Sun, Nan Qiao, et al. 2017. “External Validation of Non-Invasive Prediction Models for Identifying Ultrasonography-Diagnosed Fatty Liver Disease in a Chinese Population.” Medicine 96 (30): e7610. doi:10.1097/MD.0000000000007610.