Cost Sensitive Hierarchical Classifiers for Non-invasive Recognition of Liver Fibrosis Stage-Reference-Cited by-同舟云学术

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Cost Sensitive Hierarchical Classifiers for Non-invasive Recognition of Liver Fibrosis Stage

Published:2013 Issue: Volume: Page:639-647
ISSN:2194-5357
Container-title:Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013
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Author:

Krawczyk Bartosz,Woźniak Michał,Orczyk Tomasz,Porwik Piotr

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-00969-8_63

Reference19 articles.

1. Bedossa, P., Dargre, D., Paradis, V.: Sampling variability of liver fibrosis in chronic hepatitis. Hepatology 38, 1449–1457 (2003)

2. Bedossa, P., Poynard, T.: An algorithm for the grading of activity in chronic hepatitis. The Metavir Cooperative Study Group 24, 289–293 (1996)

3. BioPredictive. Website, http://www.biopredictive.com/intl/physician/fibrotest-for-hcv/

4. Lecture Notes in Computer Science;R. Burduk,2012

5. Castéra, L.: Non invasive assessment of liver fibrosis in chronic hepatitis. Liver International 5(2), 625–634 (2002)

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Liver fibrosis diagnosis support using the Dempster–Shafer theory extended for fuzzy focal elements;Engineering Applications of Artificial Intelligence;2018-11

2. Justified granulation aided noninvasive liver fibrosis classification system;BMC Medical Informatics and Decision Making;2015-08-06

3. Comparison of AI Techniques for Prediction of Liver Fibrosis in Hepatitis Patients;Journal of Medical Systems;2014-06-24

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