Table 2 Comparison between existing image based work with proposed GAINSeq using NGS data on same AI models.

From: GAINSeq: glaucoma pre-symptomatic detection using machine learning models driven by next-generation sequencing data

Method

Framework

Accuracy

GAINSeq

Literature

Random forest

Optic cup segmentation

99%

97%

Decision tree

Optic cup segmentation

99%

91%

SVM

Optic cup segmentation

92%

93%