A Scalable Machine Learning Approach for Inferring Probabilistic US-LI-RADS Categorization.
Imon BanerjeeHailey H. ChoiTerry S. DesserDaniel L. RubinPublished in: AMIA (2018)
Keyphrases
- machine learning
- bayesian networks
- text categorization
- machine learning algorithms
- machine learning methods
- learning algorithm
- computer vision
- probabilistic model
- support vector machine
- artificial intelligence
- feature selection
- pattern recognition
- data analysis
- text mining
- machine learning and data mining
- highly scalable
- knowledge representation
- learning tasks
- machine learning approaches
- text classification
- supervised learning
- information extraction
- data mining
- real time
- probabilistic logic
- web scale
- context sensitive
- conditional probabilities
- model selection
- expert systems
- neural network