Semantic Space models for classification of consumer webpages on metadata attributes

Journal of Biomedical Informatics

Volumn 43, Issue 5, 2010, Pages 725-735

  Chen, Guocai ^a   Warren, Jim ^a   Riddle, Patricia ^a  

^a UNIVERSITY OF AUCKLAND   (New Zealand)

Author keywords

Breast cancer; Consumer health information; Internet; Metadata; Natural language processing

Indexed keywords

BREAST CANCER; CLASSIFICATION ACCURACY; CONSUMER HEALTH INFORMATION; DECISION FOREST; HEALTHCARE RESOURCES; HYPERSPACE ANALOGUE TO LANGUAGES; INFORMATION RESOURCE; MACHINE LEARNING METHODS; NATURAL LANGUAGE PROCESSING; RELEVANCE CRITERIA; SEMANTIC SPACE; SIMILARITY MEASURE; USE PATTERNS; WEB PAGE; WEB PORTAL;

COMPUTATIONAL LINGUISTICS; HEALTH; INTERNET; LEARNING ALGORITHMS; LEARNING SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS; SEMANTICS; VECTOR SPACES;

METADATA;

ALGORITHM; ARTICLE; CONSUMER HEALTH INFORMATION; INTERNET; MACHINE LEARNING; ONLINE ANALYSIS; PRIORITY JOURNAL; SUPPORT VECTOR MACHINE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BREAST NEOPLASMS; CONSUMER HEALTH INFORMATION; DATABASES, FACTUAL; DECISION TREES; FEMALE; HUMANS; INTERNET; NATURAL LANGUAGE PROCESSING; SEMANTICS;

EID: 77956263125     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2010.06.005     Document Type: Article

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