Research and applications: N-gram support vector machines for scalable procedure and diagnosis classification, with applications to clinical free text data from the intensive care unit.
Ben J. MarafinoJason M. DaviesNaomi S. BardachMitzi L. DeanR. Adams DudleyPublished in: J. Am. Medical Informatics Assoc. (2014)
Keyphrases
- n gram
- text classification
- text data
- support vector
- intensive care unit
- feature selection
- bag of words
- classification accuracy
- text mining
- intensive care
- text documents
- support vector machine
- machine learning
- text categorization
- naive bayes
- language model
- medical knowledge
- medical diagnosis
- labeled data
- k nearest neighbor
- data sets
- image classification
- high dimensional
- decision trees
- unlabeled data
- logistic regression
- knn
- high risk
- data mining
- databases
- structured data
- semi automatic
- knowledge representation
- clinical data