Wikipedia
Apache cTAKES: clinical Text Analysis and Knowledge Extraction System is an open-source natural language processing system for information extraction from electronic medical record clinical free-text. It processes clinical notes, identifying types of clinical named entities — drugs, diseases/disorders, signs/symptoms, anatomical sites and procedures. Each named entity has attributes for the text span, the ontology mapping code, context (family history of, current, unrelated to patient), and negated/not negated.
cTAKES was built using the UIMA Unstructured Information Management Architecture framework and OpenNLP natural language processing toolkit. Its components are specifically trained for the clinical domain, and create rich linguistic and semantic annotations that can be utilized by clinical decision support systems and clinical research.
These components include:
- Sentence boundary detector
- Rule-based tokenizer to separate punctuations from words
- Normalizer
- Context dependent tokenizer
- Part-of-speech tagger
- Phrasal chunker
- Dictionary lookup annotator
- Context annotator
- Negation detector
- Dependency parser
- Module for the identification of patient smoking status
- Drug mention annotator