Revista Brasileira de Epidemiologia
Print version ISSN 1415-790X
SANTOS, Alcione Miranda dos; SEIXAS, José Manoel de; PEREIRA, Basílio de Bragança and MEDRONHO, Roberto de Andrade. Using artificial neural networks and logistic regression in the prediction of Hepatitis A. Rev. bras. epidemiol. [online]. 2005, vol.8, n.2, pp. 117-126. ISSN 1415-790X. http://dx.doi.org/10.1590/S1415-790X2005000200004.
This paper aims to develop a support system for seroprevalence prediction of hepatitis A. Logistic regression and artificial neural network models were considered. The accuracy of these models was measured based on the misclassification rate in a sample from the city of Duque de Caxias, Rio de Janeiro, where there is a high incidence of this disease. The results of the evaluation show that the neural model achieves an overall classification efficiency of 88%, when it uses relevant information extracted from the logistic model.
Keywords : Neural Networks; Logistic Regression; Hepatitis A; Supporting Systems for Medical Diagnosis.