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
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
收藏
页码:121 / 126
页数:6
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