Machine learning for nocturnal diagnosis of chronic obstructive pulmonary disease using digital oximetry biomarkers.
Jeremy LevyDaniel ÁlvarezFélix del CampoJoachim A. BeharPublished in: CoRR (2020)
Keyphrases
- machine learning
- chronic obstructive pulmonary disease
- gastric cancer
- medical diagnosis
- early detection
- pattern recognition
- data analysis
- fault diagnosis
- clinically relevant
- reinforcement learning
- explanation based learning
- model based diagnosis
- machine learning methods
- computer vision
- ad patients
- learning tasks
- machine learning algorithms
- knowledge acquisition
- text mining
- artificial intelligence
- decision trees
- computational intelligence
- data mining
- learning algorithm
- image processing
- computational biology
- inductive learning
- support vector machine
- breast cancer
- information extraction
- natural language processing
- knowledge discovery
- digital content
- knowledge representation
- fault detection
- expert systems
- data driven approaches
- text classification