Journal
JOURNAL OF MEDICAL SYSTEMS
Volume 35, Issue 3, Pages 433-436Publisher
SPRINGER
DOI: 10.1007/s10916-009-9378-2
Keywords
Hepatitis disease diagnosis; Multilayer neural network; Levenberg-Marquardt training algorithm
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In this study, a hepatitis disease diagnosis study was realized using neural network structure. For this purpose, a multilayer neural network structure was used. Levenberg-Marquardt algorithm was used as training algorithm for the weights update of the neural network. The results of the study were compared with the results of the previous studies reported focusing on hepatitis disease diagnosis and using same UCI machine learning database. We obtained a classification accuracy of 91.87% via tenfold cross validation.
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