Machine learning to predict rapid progression of carotid atherosclerosis in patients with impaired glucose tolerance.
Xia HuPeter D. ReavenAramesh SaremiNinghao LiuMohammad Ali AbbasiHuan LiuRaymond Q. MigrinoPublished in: EURASIP J. Bioinform. Syst. Biol. (2016)
Keyphrases
- machine learning
- carotid artery
- cardiovascular disease
- blood glucose
- ultrasound images
- artificial intelligence
- diabetes mellitus
- machine learning methods
- risk factors
- knowledge acquisition
- pattern recognition
- learning algorithm
- computer vision
- deformable models
- machine learning algorithms
- natural language processing
- data analysis
- region growing
- information extraction
- blood pressure
- feature selection
- disease progression
- computer science
- medical diagnosis
- medical data
- clinical practice
- decision trees
- intensive care
- active learning
- diabetic patients