Classification of PICO elements by text features systematically extracted from PubMed abstracts.
Ke-Chun HuangCharles Chih-Ho LiuShung-Shiang YangFuren XiaoJau-Min WongChun-Chih LiaoI-Jen ChiangPublished in: GrC (2011)
Keyphrases
- extracted features
- automatically extracted
- classification accuracy
- extracting features
- feature vectors
- classification method
- feature extraction
- feature space
- classification process
- scientific literature
- pattern recognition
- classification models
- feature set
- textural features
- additional features
- supervised machine learning
- feature values
- feature analysis
- decision trees
- svm classifier
- information retrieval
- class labels
- text mining
- machine learning
- feature selection
- benchmark datasets
- characteristic features
- textual features
- support vector
- biomedical literature
- discriminative features
- writer identification
- train a support vector machine
- structural features
- high dimensionality
- false positives
- co occurrence
- supervised learning
- support vector machine
- feature selection algorithms
- semantic network
- text documents
- support vector machine svm
- text classification
- lexical features