Non-invasive diagnosis of risk in dengue patients using bioelectrical impedance analysis and artificial neural network

Non-invasive diagnosis of risk in dengue patients using bioelectrical impedance analysis and artificial neural network

This paper presents a new approach to diagnose and classify early risk in dengue patients using bioelectrical impedance analysis (BIA) and artificial neural network (ANN). A total of 223 healthy subjects and 207 hospitalized dengue patients were prospectively studied. The dengue risk severity criter...

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Bibliographic Details
Main Authors: Ibrahim, F., Faisal, T., Mohamad Salim, M.I., Taib, M.N.
Format: Article
Language:English
Published: 2010
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.um.edu.my/9319/1/Non-invasive_diagnosis_of_risk_in_dengue_patients_using_bioelectrical_impedance_analysis_and_artificial_neural_network.pdf

Internet

http://eprints.um.edu.my/9319/1/Non-invasive_diagnosis_of_risk_in_dengue_patients_using_bioelectrical_impedance_analysis_and_artificial_neural_network.pdf

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