To provide a method for assisting corneal severity identification using unsupervised machine learning or a method for identifying normal, disorder-suspect and disorder eyes by applying machine learning to a number of corneal tomography data.SOLUTION: A method for assisting corneal severity identification comprises: obtaining a corneal configuration data set of a cornea examined by a tomography such as an optical coherence tomography; visualizing the corneal configuration data set of the cornea examined along with a number of pre-existing corneal configuration data sets of disorder corneas, disorder-suspect corneas and normal corneas obtained by the tomography using t-distributed Stochastic Neighbor Embedding in a two or three dimensional map; and judging corneal severity from the map.SELECTED DRAWING: Figure 3
METHOD FOR ASSISTING CORNEAL SEVERITY IDENTIFICATION USING UNSUPERVISED MACHINE LEARNING