Prediction of cirrhosis in patients with chronic hepatitis C infection by artificial neural network analysis of virus and clinical factors-Reference-Cited by-同舟云学术

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Prediction of cirrhosis in patients with chronic hepatitis C infection by artificial neural network analysis of virus and clinical factors

Published:1998-07 Issue:4 Volume:5 Page:255-264
ISSN:1352-0504
Container-title:Journal of Viral Hepatitis
language:en
Short-container-title:Journal of Viral Hepatitis

Author:

Haydon G. H.¹,Jalan R.¹,Ala‐Korpela M.²,Hiltunen Y.³,Hanley J.⁴,Jarvis L. M.⁵,Ludlum C. A.⁴,Hayes P. C.¹

Affiliation:

1. Departments of Medicine and,

2. A. I. Virtanen Institute for Molecular Sciences, University of Kuopio, Kuopio, Finland and,

3. Per Brahe Laboratory, The Raahe Institute of Computer Engineering, Raahe, Finland

4. Haematology, Royal Infirmary of Edinburgh,,

5. Department of Microbiology, University of Edinburgh, Edinburgh,,

Publisher

Wiley

Subject

Virology,Infectious Diseases,Hepatology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1046/j.1365-2893.1998.00108.x

Reference47 articles.

1. Hepatitis C virus six years on

2. The Natural History of Community-Acquired Hepatitis C in the United States

3. Long-Term Mortality after Transfusion-Associated Non-A, Non-B Hepatitis

4. Non-A, Non-B Post-Transfusion Hepatitis: Looking Back in the Second Decade

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3. Hybrid model for precise hepatitis-C classification using improved random forest and SVM method;Scientific Reports;2023-08-01

4. Novel Method for classification of Hepatitis C Using Support Vector Machine Classifier;2023 International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF);2023-01-05

5. Artificial Intelligence in Hepatology: A Narrative Review;Seminars in Liver Disease;2021-07-29

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