A new approach based on Machine Learning for predicting corneal curvature (K1) and astigmatism in patients with keratoconus after intracorneal ring implantation.
M. A. Valdés-MasJosé David Martín-GuerreroMaría José RupérezF. PastorC. DualdeCarlos MonserratC. Peris-MartínezPublished in: Comput. Methods Programs Biomed. (2014)
Keyphrases
- machine learning
- early diagnosis
- machine learning methods
- data mining
- multiscale
- knowledge acquisition
- learning tasks
- clinical data
- pattern recognition
- active learning
- feature selection
- information extraction
- natural language processing
- machine learning algorithms
- patient data
- statistical methods
- planar curves
- learning systems
- text mining
- scale space
- knowledge discovery
- data analysis
- computer science
- reinforcement learning
- learning algorithm
- text classification
- eye tracking
- computer aided
- decision trees
- artificial intelligence
- medical center