Medical entity extraction from patient data
作者： Radu Stefan Niculescu , R. Bharat Rao , Ciprian Dan Raileanu , Lucian Vlad Lita
DOI:
关键词: Computer science 、 Set (abstract data type) 、 Medical information 、 Artificial intelligence 、 Parsing 、 Natural language processing 、 Information retrieval 、 Ontology (information science) 、 Patient data 、 Class (philosophy)
摘要: Members of a medical entity class are extracted (24) from patient data. A semi-supervised approach uses one or more initial terms (22), such as an ontology, for given category canonical entity. larger set is the information. In example, extraction performed using lexical surface form features (26), rather than syntactical parsing
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