Semi-supervised clinical text classification with Laplacian SVMs: An application to cancer case management

Journal of Biomedical Informatics

Volumn 46, Issue 5, 2013, Pages 869-875

  Garla, Vijay ^a   Taylor, Caroline ^b   Brandt, Cynthia ^a,b  

^a YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b VA CONNECTICUT HEALTHCARE SYSTEM   (United States)

Author keywords

Graph Laplacian; Natural language processing; Semi supervised learning; Support vector machine

Indexed keywords

CLINICAL TEXT CLASSIFICATIONS; GRAPH LAPLACIAN; LABELED AND UNLABELED DATA; NATURAL LANGUAGE PROCESSING; POSITIVE PREDICTIVE VALUES; SEMI-SUPERVISED LEARNING; SUPERVISED MACHINE LEARNING; SUPPORT VECTOR MACHINE (SVMS);

CLASSIFICATION (OF INFORMATION); LAPLACE TRANSFORMS; LEARNING ALGORITHMS; MEDICAL COMPUTING; NATURAL LANGUAGE PROCESSING SYSTEMS; SUPERVISED LEARNING; TEXT PROCESSING;

SUPPORT VECTOR MACHINES;

ARTICLE; CASE MANAGEMENT; CLASSIFIER; COMPUTER ASSISTED TOMOGRAPHY; ELECTRONIC MEDICAL RECORD; FOLLOW UP; HEALTH CARE UTILIZATION; HUMAN; INTERMETHOD COMPARISON; LEARNING ALGORITHM; LIVER CANCER; LIVER INJURY; NUCLEAR MAGNETIC RESONANCE IMAGING; PERFORMANCE; PREDICTIVE VALUE; PREVALENCE; PRIORITY JOURNAL; SUPPORT VECTOR MACHINE; TRAINING; ULTRASOUND;

GRAPH LAPLACIAN; NATURAL LANGUAGE PROCESSING; SEMI-SUPERVISED LEARNING; SUPPORT VECTOR MACHINE;

ALGORITHMS; CASE MANAGEMENT; HUMANS; NEOPLASMS; SUPPORT VECTOR MACHINES;

EID: 84883822654     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2013.06.014     Document Type: Article

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