title: Situation assessment of glaucoma using a hybrid fuzzy neural network.
authors.affiliation: National Research Center for Environment and Health, Medis, Neuherberg, Germany. zahlmann@gsf.de
authors.forename: G
authors.initials: G
authors.lastname: Zahlmann
authors.forename: M
authors.initials: M
authors.lastname: Scherf
authors.forename: A
authors.initials: A
authors.lastname: Wegner
authors.forename: M
authors.initials: M
authors.lastname: Obermaier
authors.forename: M
authors.initials: M
authors.lastname: Mertz
mesh_terms: D000465:Algorithms; D003661:Decision Support Techniques; D003936:Diagnosis, Computer-Assisted; D017143:Fuzzy Logic; D005901:Glaucoma / Q000175:diagnosis* / Q000473:pathology / Q000503:physiopathology; D006801:Humans; D007429:Intraocular Pressure / Q000502:physiology; D016571:Neural Networks, Computer; D009898:Optic Disk / Q000473:pathology; D012680:Sensitivity and Specificity; D058609:Visual Field Tests / Q000145:classification; D014794:Visual Fields / Q000502:physiology