Prediction of Key Patient Outcome from Sentence and Word of Medical Text Records.
Takanori YamashitaYoshifumi WakataHidehisa SoejimaNaoki NakashimaSachio HirokawaPublished in: ClinicalNLP@COLING 2016 (2016)
Keyphrases
- medical records
- sentence level
- free text
- patient records
- text corpus
- noun phrases
- syntactic information
- syntactic categories
- discharge summaries
- syntactic analysis
- medical data
- word level
- sentence similarity
- medical experts
- medical information
- lexico syntactic
- medical center
- medical treatment
- sentiment analysis
- clinical information
- training corpus
- word frequency
- patient data
- lexical features
- natural language text
- medical domain
- keywords
- recognizing textual entailment
- dependency relations
- health care
- stop words
- medical care
- co occurrence
- information extraction
- electronic medical record
- medical staff
- medical knowledge
- natural language
- text representation
- intensive care
- medical devices
- semantic role labeling
- text documents
- semantic relations
- patient care
- text mining
- natural language processing
- part of speech
- target language
- document level
- multi document summarization
- information retrieval
- medical practice
- discourse structure
- text classification
- n gram
- named entities
- automatic summarization
- word sense disambiguation
- clinical data
- sentiment classification
- text summarization
- word segmentation