A knowledge discovery and reuse pipeline for information extraction in clinical notes.
Jon D. PatrickDung H. M. NguyenYefeng WangMin LiPublished in: J. Am. Medical Informatics Assoc. (2011)
Keyphrases
- information extraction
- knowledge discovery
- text mining
- unstructured documents
- machine learning
- web mining
- information retrieval
- free text
- named entity recognition
- natural language processing
- named entities
- precision and recall
- association rules
- relation extraction
- structured data
- databases
- data mining and knowledge discovery
- semi structured
- data mining
- text documents
- association rule mining
- web documents
- data mining techniques
- software reuse
- interesting patterns
- knowledge discovery in databases
- conditional random fields
- semantic tagging
- discovering knowledge
- learning objects
- ontology based information extraction
- pipeline architecture
- open domain
- conceptual clustering
- text processing
- textual data
- formal concept analysis
- question answering
- natural language
- extracting meaningful
- machine translation
- outlier detection
- data analysis
- relational learning
- scientific workflows
- parallel architecture
- word sense disambiguation
- data mining applications
- case study