Machine learning algorithms and forced oscillation measurements to categorise the airway obstruction severity in chronic obstructive pulmonary disease.
Jorge L. M. AmaralAgnaldo J. LopesAlvaro C. D. FariaPedro L. MeloPublished in: Comput. Methods Programs Biomed. (2015)
Keyphrases
- machine learning algorithms
- chronic obstructive pulmonary disease
- ct images
- learning algorithm
- benchmark data sets
- decision trees
- machine learning methods
- machine learning
- quantitative analysis
- predictive accuracy
- learning problems
- random forests
- medical images
- learning tasks
- input features
- data sets
- machine learning approaches
- supervised learning algorithms
- pattern recognition
- statistical machine learning
- region of interest
- medical imaging
- transfer learning
- machine learning models
- machine learning and data mining algorithms
- neural network
- domain specific
- lung cancer
- standard machine learning algorithms