A Novel Method for Diagnosing Cirrhosis in Patients with Chronic Hepatitis B: Artificial Neural Network Approach

被引：25

作者：

Raoufy, Mohammad Reza ^{[2
]}

Vahdani, Parviz ^{[3
]}

Alavian, Seyed Moayed ^{[4
]}

Fekri, Sahba ^{[5
]}

Eftekhari, Parivash ^{[2
]}

Gharibzadeh, Shahriar ^{[1
]}

机构：

[1] Amirkabir Univ Technol, Fac Biomed Engn, Neuromuscular Syst Lab, Tehran, Iran

[2] Tarbiat Modares Univ, Sch Med Sci, Dept Physiol, Tehran, Iran

[3] Logman Hosp, Dept Infect Dis, Tehran, Iran

[4] Baqiyatallah Univ Med Sci, Baqiyatallah Res Ctr Gastroenterol & Liver Dis, Tehran, Iran

[5] Shahid Beheshti Univ Med Sci, Fac Med, Tehran, Iran

来源：

JOURNAL OF MEDICAL SYSTEMS | 2011年 / 35卷 / 01期

关键词：

Cirrhosis; Chronic hepatitis B; Artificial neural network; Logistic regression; Laboratory data; LIVER-BIOPSY; PREDICTION; FIBROSIS; INFECTION; VIRUS; NEED;

D O I：

10.1007/s10916-009-9348-8

中图分类号：

R19 [保健组织与事业（卫生事业管理）];

学科分类号：

摘要：

We designed an artificial neural network (ANN) to diagnose cirrhosis in patients with chronic HBV infection. Routine laboratory data (PT, INR, platelet count, direct bilirubin, AST/ALT, AST/PLT) and age were collected from 144 patients. Cirrhosis in these patients was diagnosed by liver biopsy. The ANN's ability was assessed using receiver-operating characteristic (ROC) analysis and the results were compared with a logistic regression model. Our results indicate that the neural network analysis is likely to provide a non-invasive, accurate test for diagnosing cirrhosis in chronic HBV-infected patients, only based on routine laboratory data.

引用

页码：121 / 126

页数：6

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