Neural network diagnostic system for dengue patients risk classification

Journal of Medical Systems

Volumn 36, Issue 2, 2012, Pages 661-676

  Faisal, Tarig ^a   Taib, Mohd Nasir ^b   Ibrahim, Fatimah ^a  

^a UNIVERSITY OF MALAYA   (Malaysia)

^b UNIVERSITI TEKNOLOGI MARA   (Malaysia)

Author keywords

Levenberg Marquardt dengue fever; Multilayer perceptron; Scaled conjugate gradient

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION ALGORITHM; DENGUE; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DISEASE CLASSIFICATION; FEMALE; HUMAN; MALE; PERCEPTRON; PREDICTOR VARIABLE; RISK ASSESSMENT; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; ALGORITHM; BIOLOGICAL MODEL; BLOOD; BODY MASS; CLASSIFICATION; DECISION SUPPORT SYSTEM; HEMATOCRIT; ORGANIZATION AND MANAGEMENT; RISK FACTOR; SEX DIFFERENCE; THROMBOCYTE COUNT;

ASPARTATE AMINOTRANSFERASE;

ALGORITHMS; ASPARTATE AMINOTRANSFERASES; BODY MASS INDEX; DECISION SUPPORT SYSTEMS, CLINICAL; DENGUE; DENGUE HEMORRHAGIC FEVER; HEMATOCRIT; HUMANS; MODELS, BIOLOGICAL; NEURAL NETWORKS (COMPUTER); PLATELET COUNT; RISK ASSESSMENT; RISK FACTORS; SEX FACTORS;

EID: 84863205725     PISSN: 01485598     EISSN: 1573689X     Source Type: Journal    
DOI: 10.1007/s10916-010-9532-x     Document Type: Article

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