Combining multiple HRT parameters using the 'Random Forests' method improves the diagnostic accuracy of glaucoma in emmetropic and highly myopic eyes.
Asaoka, Ryo
Combining multiple HRT parameters using the 'Random Forests' method improves the diagnostic accuracy of glaucoma in emmetropic and highly myopic eyes. [electronic resource] - Investigative ophthalmology & visual science Apr 2014 - 2482-90 p. digital
Publication Type: Journal Article; Multicenter Study; Randomized Controlled Trial; Research Support, Non-U.S. Gov't
1552-5783
10.1167/iovs.14-14009 doi
Adult
Algorithms
Diagnosis, Differential
Diagnostic Techniques, Ophthalmological
Emmetropia
Female
Glaucoma, Open-Angle--complications
Humans
Male
Middle Aged
Myopia--complications
ROC Curve
Reproducibility of Results
Retina--pathology
Severity of Illness Index
Tomography--methods
Combining multiple HRT parameters using the 'Random Forests' method improves the diagnostic accuracy of glaucoma in emmetropic and highly myopic eyes. [electronic resource] - Investigative ophthalmology & visual science Apr 2014 - 2482-90 p. digital
Publication Type: Journal Article; Multicenter Study; Randomized Controlled Trial; Research Support, Non-U.S. Gov't
1552-5783
10.1167/iovs.14-14009 doi
Adult
Algorithms
Diagnosis, Differential
Diagnostic Techniques, Ophthalmological
Emmetropia
Female
Glaucoma, Open-Angle--complications
Humans
Male
Middle Aged
Myopia--complications
ROC Curve
Reproducibility of Results
Retina--pathology
Severity of Illness Index
Tomography--methods