title: MRMR optimized classification for automatic glaucoma diagnosis.
abstract: Min-Redundancy Max-Relevance (mRMR) is a feature selection methodology based on information theory. We explore the mRMR principle for automatic glaucoma diagnosis. Optimal candidate feature sets are acquired from a composition of clinical screening data and retinal fundus image data. An mRMR optimized classifier is further trained using the candidate feature sets to find the optimized classifier. We tested the proposed methodology on eye records of 650 subjects collected from Singapore Eye Research Institute. The experimental results demonstrate that the new classifier is much compact by using less than ¼ of the initial feature set. The ranked feature set also enables the clinicians to better access the diagnostic process of the algorithm. The work is a further step towards the advancement of the automatic glaucoma diagnosis.
authors.affiliation: Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore. zzhang@ i2r.a-star.edu.sg
authors.forename: Zhuo
authors.initials: Z
authors.lastname: Zhang
authors.forename: Chee Keong
authors.initials: CK
authors.lastname: Kwoh
authors.forename: Jiang
authors.initials: J
authors.lastname: Liu
authors.forename: Fengshou
authors.initials: F
authors.lastname: Yin
authors.forename: Adrianto
authors.initials: A
authors.lastname: Wirawan
authors.forename: Carol
authors.initials: C
authors.lastname: Cheung
authors.forename: Mani
authors.initials: M
authors.lastname: Baskaran
authors.forename: Tin
authors.initials: T
authors.lastname: Aung
authors.forename: Tien Yin
authors.initials: TY
authors.lastname: Wong
mesh_terms: D000465:Algorithms; D019540:Area Under Curve; D001185:Artificial Intelligence; D016208:Databases, Factual; D020000:Decision Support Systems, Clinical; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D003952:Diagnostic Imaging / Q000379:methods; D001330:Electronic Data Processing; D005901:Glaucoma / Q000175:diagnosis* / Q000473:pathology*; D006801:Humans; D015233:Models, Statistical; D009887:Ophthalmoscopy / Q000379:methods; D015203:Reproducibility of Results