A Study on Hepatitis Disease Diagnosis Using Multilayer Neural Network with Levenberg Marquardt Training Algorithm

被引：40

作者：

Bascil, M. Serdar ^{[1
]}

Temurtas, Feyzullah ^{[1
]}

机构：

[1] Bozok Univ, Dept Elect & Elect Engn, TR-66200 Yozgat, Turkey

来源：

JOURNAL OF MEDICAL SYSTEMS | 2011年 / 35卷 / 03期

关键词：

Hepatitis disease diagnosis; Multilayer neural network; Levenberg-Marquardt training algorithm; FEATURE-SELECTION; SYSTEM;

D O I：

10.1007/s10916-009-9378-2

中图分类号：

R19 [保健组织与事业（卫生事业管理）];

学科分类号：

100404 [儿少卫生与妇幼保健学];

摘要：

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.

引用

页码：433 / 436

页数：4

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