Name
Title | ||
|---|---|---|
Support vector machine-based feature selection for classification of liver fibrosis grade in chronic hepatitis C. |
Abstract | ||
|---|---|---|
Although liver biopsy is currently regarded as the gold standard for staging liver fibrosis in chronic hepatitis C, it is a costly invasive procedure and carries a small risk for complication. Our aim in this study was to construct a simple model to distinguish between patients with no or mild fibrosis (METAVIR F0-F1) versus those with clinically significant fibrosis (METAVIR F2-F4). We retrospectively studied 204 consecutive CHC patients. Thirty-four serum markers with age, gender, duration of infection were assessed to classify fibrosis with a classifier known as the support vector machine (SVM). The method of feature selection known as sequential forward floating selection (SFFS) was introduced before the performance of SVM. When four serum markers were extracted with SFFS-SVM, F2-F4 could be predicted accurately in 96%. Our study showed that application of this model could identify CHC patients with clinically significant fibrosis with a high degree of accuracy and may decrease the need for liver biopsy. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/s10916-006-9023-2 | J. Medical Systems |
Keywords | Field | DocType |
liver biopsy,thirty-four serum marker,mild fibrosis,liver fibrosis grade,liver fibrosis,support vector machine-based feature,significant fibrosis,consecutive chc patient,feature selection,chc patient,chronic hepatitis c.,floating selection,support vector machine . sequential forward floating selection . chronic hepatitis c. fibrosis staging,serum marker,retrospective study,gold standard,support vector machine | Complication,Gastroenterology,Fibrosis,Feature selection,Liver biopsy,Internal medicine,Support vector machine,Hepatitis C,Gold standard,Stage (cooking),Medicine | Journal |
Volume | Issue | ISSN |
30 | 5 | 0148-5598 |
Citations | PageRank | References |
8 | 0.78 | 6 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiang Zheng | 1 | 9 | 1.16 |
| Kazunobu Yamauchi | 2 | 53 | 6.16 |
| Kentaro Yoshioka | 3 | 54 | 9.04 |
| Kazuma Aoki | 4 | 12 | 2.16 |
| Susumu Kuroyanagi | 5 | 48 | 12.12 |
| Akira Iwata | 6 | 77 | 21.99 |
| Jun Yang | 7 | 9 | 1.50 |
| Kai Wang | 8 | 13 | 2.05 |