Rule extraction for glaucoma detection with summary data from StratusOCT
作者： Mei-Ling Huang , Hsin-Yi Chen , Jian-Cheng Lin
DOI: 10.1167/IOVS.06-0320
关键词:
摘要: Purpose To extract and induce rules of association for differentiating between normal glaucomatous eyes based on the quantitative assessment summary data reports from StratusOCT (optical coherence tomography; Carl Zeiss Meditec, Inc., Dublin, CA) in a Taiwan Chinese population. Methods One randomly selected eye each 64 patients with glaucoma 71 subjects was included study. Measurements variables (retinal nerve fiber layer thickness optic head analysis results) were obtained StratusOCT. A self-organizing map decision tree applied to features determine detection. Results The average visual field mean deviation -0.55 +/- 0.57 dB group -4.30 3.32 group. Vertical cup-to-disc (C/D) ratio inferior quadrant extracted tree, three determined Conclusions precise induced by novel application may enhance
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