Statistical selector of the best multiple ICD-coding method

Studies in Health Technology and Informatics

Volumn 129, Issue , 2007, Pages 645-649

  Aramaki, Eiji ^a   Imai, Takeshi ^a   Kajino, Masayuki ^b   Miyo, Kengo ^a   Ohe, Kazuhiko ^a  

^a UNIVERSITY OF TOKYO HOSPITAL   (Japan)

^b Japan Research Group for Medical Ontology   (Japan)

Author keywords

coding; decision trees; ICD 10; International Classification of Disease codes; natural language processing

Indexed keywords

DECISION TREES; NATURAL LANGUAGE PROCESSING SYSTEMS; SIGNAL ENCODING;

CODING; CODING METHODS; CONFIDENCE SCORE; DISEASE CLASSIFICATION; HYBRID ARCHITECTURES; ICD-10; INTERNATIONAL CLASSIFICATION OF DISEASE; MEDICAL FIELDS;

CODES (SYMBOLS);

ARTICLE; CLASSIFICATION; DECISION TREE; GENERAL ASPECTS OF DISEASE; HUMAN; INTERNATIONAL CLASSIFICATION OF DISEASES; LANGUAGE; MEDICAL RECORD; METHODOLOGY; NATURAL LANGUAGE PROCESSING;

DECISION TREES; DISEASE; FORMS AND RECORDS CONTROL; HUMANS; INTERNATIONAL CLASSIFICATION OF DISEASES; LANGUAGE; NATURAL LANGUAGE PROCESSING;

EID: 38449104982     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

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