Rule extraction for glaucoma detection with summary data from StratusOCT.
OBJECTIVE
To extract and induce rules of association for differentiating between normal and glaucomatous eyes based on the quantitative assessment of summary data reports from the StratusOCT (optical coherence tomography; Carl Zeiss Meditec, Inc., Dublin, CA) in a Taiwan Chinese population.


METHODS
One randomly selected eye of each of the 64 patients with glaucoma and each of the 71 normal subjects was included in the study. Measurements of glaucoma variables (retinal nerve fiber layer thickness and optic nerve head analysis results) were obtained with the StratusOCT. A self-organizing map and decision tree were applied to extract features and determine rules of association for glaucoma detection.


RESULTS
The average visual field mean deviation was -0.55 +/- 0.57 dB in the normal group and -4.30 +/- 3.32 dB in the glaucoma group. Vertical cup-to-disc (C/D) ratio and inferior quadrant thickness were extracted from the decision tree, and three association rules were determined for glaucoma detection.


CONCLUSIONS
The precise rules of association induced by a novel application of the decision tree may enhance glaucoma detection.
Huang
Mei-Ling
ML
Department of Industrial Engineering and Management, National Chin-Yi Institute of Technology, Taipei, Taichung, Taiwan.
Chen
Hsin-Yi
HY
Lin
Jian-Cheng
JC
D000328:Adult; D044466:Asian People / Q000208:ethnology; D003430:Cross-Sectional Studies; D003663:Decision Trees; D003941:Diagnostic Techniques, Ophthalmological; D005260:Female; D005902:Glaucoma, Open-Angle / Q000175:diagnosis* / Q000208:ethnology; D006801:Humans; D008297:Male; D008875:Middle Aged; D009412:Nerve Fibers / Q000473:pathology; D009898:Optic Disk / Q000473:pathology; D009901:Optic Nerve Diseases / Q000175:diagnosis* / Q000208:ethnology; D012165:Retinal Ganglion Cells / Q000473:pathology; D013624:Taiwan / Q000453:epidemiology; D041623:Tomography, Optical Coherence / Q000379:methods* / Q000592:standards; D014786:Vision Disorders / Q000175:diagnosis / Q000208:ethnology; D014794:Visual Fields