Identifying factors associated with fast visual field progression in patients with ocular hypertension based on unsupervised machine learning.
Xiaoqin HuangAsma PoursoroushJian SunMichael V. BolandChris JohnsonSiamak YousefiPublished in: CoRR (2023)
Keyphrases
- visual field
- machine learning
- eye movements
- eye tracking
- supervised learning
- visual perception
- visual attention
- receptive fields
- semi supervised
- learning algorithm
- blood pressure
- saliency map
- cardiovascular disease
- active learning
- feature selection
- support vector machine
- eye tracker
- computer vision
- clinical data
- optic nerve
- patient data
- risk factors
- biologically inspired
- neural network
- object recognition
- higher level