Exploring supervised and unsupervised methods to detect topics in biomedical text

BMC Bioinformatics

Volumn 7, Issue , 2006, Pages

  Lee, Minsuk ^a   Wang, Weiqing ^b   Yu, Hong ^a  

^a Och Spine at New York Presbyterian Hospitals   (United States)

^b ALBERT EINSTEIN COLLEGE OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

HIERARCHICAL CLUSTERING ALGORITHMS; INFORMATION CONTENTS; MACHINE LEARNING TECHNIQUES; MEDICAL SUBJECT HEADINGS; NATURAL LANGUAGE PROCESSING; SCIENTIFIC ARTICLES; UNIFIED MEDICAL LANGUAGE SYSTEMS; UNSUPERVISED METHOD;

CLUSTERING ALGORITHMS; LEARNING SYSTEMS; SEMANTICS; TEXT PROCESSING;

NATURAL LANGUAGE PROCESSING SYSTEMS;

ACCURACY; ARTICLE; AUTOMATION; BAYES THEOREM; BIOINFORMATICS; BIOMEDICINE; CLUSTER ANALYSIS; DATA BASE; INFORMATION PROCESSING; INFORMATION RETRIEVAL; MEDICAL INFORMATION SYSTEM; MEDICAL LITERATURE; MEDICAL RESEARCH; MEDLINE; ONLINE SYSTEM; PREDICTION; SEMANTICS; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CONTROLLED VOCABULARY; DOCUMENTATION; EVALUATION STUDY; HUMAN; NATURAL LANGUAGE PROCESSING; NOMENCLATURE; PROCEDURES; PUBLICATION;

ABSTRACTING AND INDEXING AS TOPIC; ARTIFICIAL INTELLIGENCE; HUMANS; MEDLINE; NATURAL LANGUAGE PROCESSING; PATTERN RECOGNITION, AUTOMATED; PERIODICALS AS TOPIC; TERMINOLOGY AS TOPIC; VOCABULARY, CONTROLLED;

EID: 33744799046     PISSN: 14712105     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-7-140     Document Type: Article

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