From: Development of glaucoma predictive model and risk factors assessment based on supervised models
Feature Name | Values | Feature Name | Values |
---|---|---|---|
Sex | Female/Male | Age (in Years) | Number |
Body Mass Index (in kg/m2) | Number | Occupation Status | Nominal (including six categories) |
Socioeconomic Status | Number | Marital Status | Nominal (including four categories) |
Smoking | Yes/No | Diabetes | Yes/No |
Diabetes Drug | Yes/No | Iris Color* | Nominal (including five categories) |
Systolic Blood Pressure (in mm/Hg) | Number | Diastolic Blood Pressure (in mm/Hg) | Number |
Hyper Tension Drug | Yes/No | Intraocular Pressure* (in mm/Hg) | Number |
Visual Accuity* (in logMAR) | Number | Myopia* | Yes/No |
Hyperopia | Yes/No | Nuclear Cataract* | Nominal (including five categories) |
Glaucoma Drug* | Yes/No | Cortical Cataract* | Nominal (including five categories) |
Glaucoma* | Yes/No | Posterior Subcapsular Cataract* | Nominal (including five categories) |
Astigmatism* (in Diopter) | Number | Spherical Equivalent*(in Diopter) | Number |
Angle Closure* | Yes/No | Number of Visual Detect* | Number |
Vertical Cup to Disk Ratio* | Number | Axial length* (in mm) | Number |
Anterior Chamber Depth* (mm) | Number | Corneal Thickness *(in mm) | Number |
Lens Thickness* (in mm) | Number | Corneal White to White Diameter* (in mm) | Number |
Corneal Radius, Flat* (in mm) | Number | Corneal Radius, Steep* (in mm) | Number |
Keratometry* (K1) | Number | Keratometry* (K2) | Number |
Iris Barycentric-X-Coordinate* | Number | Iris Barycentric-Y-Coordinate* | Number |
Pupil Barycentric-X-Coordinate* | Number | Pupil Barycentric-Y-Coordinate* | Number |
Pupil Distance*(in mm) | Number | Â | Â |