Cite
Developing and validating a clinlabomics-based machine-learning model for early detection of retinal detachment in patients with high myopia.
MLA
Li, Shengjie, et al. “Developing and Validating a Clinlabomics-Based Machine-Learning Model for Early Detection of Retinal Detachment in Patients with High Myopia.” Journal of Translational Medicine, vol. 22, no. 1, Apr. 2024, pp. 1–14. EBSCOhost, https://doi.org/10.1186/s12967-024-05131-9.
APA
Li, S., Li, M., Wu, J., Li, Y., Han, J., Song, Y., Cao, W., & Zhou, X. (2024). Developing and validating a clinlabomics-based machine-learning model for early detection of retinal detachment in patients with high myopia. Journal of Translational Medicine, 22(1), 1–14. https://doi.org/10.1186/s12967-024-05131-9
Chicago
Li, Shengjie, Meiyan Li, Jianing Wu, Yingzhu Li, Jianping Han, Yunxiao Song, Wenjun Cao, and Xingtao Zhou. 2024. “Developing and Validating a Clinlabomics-Based Machine-Learning Model for Early Detection of Retinal Detachment in Patients with High Myopia.” Journal of Translational Medicine 22 (1): 1–14. doi:10.1186/s12967-024-05131-9.