Using Machine Learning and HL7 LOINC DO for Classification of Clinical Documents.
Adithya RenduchintalaAmy ZhangThomas PolzinGilan SaawadiPublished in: AMIA (2013)
Keyphrases
- machine learning
- machine learning methods
- document classification
- supervised machine learning
- pattern recognition
- automatic text categorization
- feature selection
- text classification
- machine learning algorithms
- decision trees
- information retrieval
- support vector machine
- supervised classification
- supervised learning
- document collections
- classification accuracy
- information retrieval systems
- unsupervised learning
- classification algorithm
- model selection
- pre classified
- knowledge discovery
- metadata
- learning algorithm
- medical images
- text mining
- document retrieval
- disease diagnosis
- feature space
- bladder cancer
- image classification
- automatic categorization
- training data
- patient records
- machine learning approaches
- support vector
- feature vectors
- text documents
- relevant documents
- support vector machine svm
- text categorization