A new intelligence-based approach for computer-aided diagnosis of dengue fever

IEEE Transactions on Information Technology in Biomedicine

Volumn 16, Issue 1, 2012, Pages 112-118

  Rao, Vadrevu Sree Hari ^a   Kumar, Mallenahalli Naresh ^b  

^a JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY   (India)

^b INDIAN SPACE RESEARCH ORGANISATION   (India)

Author keywords

Alternating decision trees; Classification; Clinical diagnosis; Dengue fever (DF); Features selection; Genetic search; Imputation; Prediction

Indexed keywords

ALTERNATING DECISION TREES; CLINICAL DIAGNOSIS; DENGUE FEVER (DF); FEATURES SELECTION; GENETIC SEARCH; IMPUTATION;

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); COMPUTER AIDED DIAGNOSIS; DECISION TREES; FORECASTING; FORESTRY;

FEATURE EXTRACTION;

CLASSIFICATION; DIAGNOSIS; FORECASTS; FORESTRY; INFORMATION RETRIEVAL; TREES;

ADOLESCENT; ADULT; ALGORITHM; ARTICLE; CHILD; COMPUTER ASSISTED DIAGNOSIS; DECISION TREE; DENGUE; FACTUAL DATABASE; HUMAN; METHODOLOGY; NONPARAMETRIC TEST; PATHOPHYSIOLOGY; PRESCHOOL CHILD;

ADOLESCENT; ADULT; ALGORITHMS; CHILD; CHILD, PRESCHOOL; DATABASES, FACTUAL; DECISION TREES; DENGUE; DIAGNOSIS, COMPUTER-ASSISTED; HUMANS; STATISTICS, NONPARAMETRIC;

EID: 84856823023     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2011.2171978     Document Type: Article

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