Developing and validating a clinlabomics-based machine-learning model for early detection of retinal detachment in patients with high myopia.

GBM algorithms based on nine features successfully predicted the diagnosis of RD in patients with HM, which will help ophthalmologists to establish a preliminary diagnosis and to improve diagnostic accuracy in the clinic.