Identifying unproven cancer treatments on the health Web: Addressing accuracy, generalizability and scalability

Studies in Health Technology and Informatics

Volumn 192, Issue 1-2, 2013, Pages 667-671

  Aphinyanaphongs, Yin ^a   Fu, Lawrence D ^a   Aliferis, Constantin F ^a  

^a Center for Health Informatics and Bioinformatics   (United States)

Author keywords

Artificial Intelligence; Consumer Product Safety; Information Storage and Retrieval; Internet; Neoplasms

Indexed keywords

ARTIFICIAL INTELLIGENCE; CONSUMER PRODUCTS; DIGITAL STORAGE; DISEASES; FEATURE EXTRACTION; INTERNET; LEARNING SYSTEMS; SCALABILITY;

BUILDING MACHINES; DISTRIBUTED ARCHITECTURE; DISTRIBUTED PARALLELIZATION; HIGH DIMENSIONALITY; INFORMATION STORAGE AND RETRIEVAL; NEOPLASMS; PRACTICAL IMPORTANCE; STATE OF THE ART;

C (PROGRAMMING LANGUAGE);

ARTIFICIAL INTELLIGENCE; CLASSIFICATION; CONSUMER HEALTH INFORMATION; EVIDENCE BASED MEDICINE; FINANCIAL MANAGEMENT; HEALTH CARE QUALITY; HUMAN; INTERNET; NATURAL LANGUAGE PROCESSING; NEOPLASMS; OUTCOME ASSESSMENT; PROCEDURES; PRODUCT SAFETY; STANDARDS;

ARTIFICIAL INTELLIGENCE; CONSUMER HEALTH INFORMATION; CONSUMER PRODUCT SAFETY; EVIDENCE-BASED MEDICINE; HUMANS; INTERNET; MARKETING OF HEALTH SERVICES; NATURAL LANGUAGE PROCESSING; NEOPLASMS; OUTCOME ASSESSMENT (HEALTH CARE); QUALITY ASSURANCE, HEALTH CARE;

EID: 84894327491     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-61499-289-9-667     Document Type: Conference Paper

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