A noninvasive intelligent approach for predicting the risk in dengue patients

Expert Systems with Applications

Volumn 37, Issue 3, 2010, Pages 2175-2181

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

^a UNIVERSITY OF MALAYA   (Malaysia)

^b UNIVERSITI TEKNOLOGI MARA   (Malaysia)

Author keywords

Artificial neural networks; Bioelectrical impedance analysis; Dengue fever; Multilayered perceptron; Self organizing map; Symptoms signs

Indexed keywords

ARTIFICIAL NEURAL NETWORKS; BIOELECTRICAL IMPEDANCE ANALYSIS; DENGUE FEVER; MULTILAYERED PERCEPTRON; SYMPTOMS/SIGNS;

BACKPROPAGATION; CONFORMAL MAPPING; ELECTRIC IMPEDANCE; LEARNING ALGORITHMS; MATHEMATICAL MODELS; STRENGTH OF MATERIALS;

MULTILAYER NEURAL NETWORKS;

EID: 70449565546     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.07.060     Document Type: Article

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