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- Title
A Novel Method for Diagnosing Cirrhosis in Patients with Chronic Hepatitis B: Artificial Neural Network Approach.
- Authors
Raoufy, Mohammad; Vahdani, Parviz; Alavian, Seyed; Fekri, Sahba; Eftekhari, Parivash; Gharibzadeh, Shahriar
- Abstract
The article presents a cross-sectional study that aims to develop an artificial neural network (ANN) model to diagnose cirrhosis in patients with chronic hepatitis B. Topics covered include the use of independent t test to compare the characteristics of the patients different across training and testing sets, development of logistic regression model, and a diagram of the ANN designed with input, hidden, and output layers.
- Subjects
IRAN; CIRRHOSIS of the liver; BIOPSY; BLOOD coagulation tests; LIVER function tests; ARTIFICIAL neural networks; T-test (Statistics); LOGISTIC regression analysis; CROSS-sectional method; RECEIVER operating characteristic curves; DATA analysis software; CHRONIC hepatitis B; DISEASE complications; DIAGNOSIS
- Publication
Journal of Medical Systems, 2011, Vol 35, Issue 1, p121
- ISSN
0148-5598
- Publication type
Article
- DOI
10.1007/s10916-009-9348-8