Predicting Hepatitis B to be acute or chronic in an infected person using machine learning algorithm
Author:
Publisher
Elsevier BV
Subject
General Engineering,Software
Reference8 articles.
1. C. Long, H. Qi and W. Peng, “;System dynamics of chronic Hepatitis B - modeling the virus and immune system of chronic Hepatitis B,”; 2010 2nd International Workshop on Intelligent Systems and Applications, Wuhan, China, 2010, pp. 1-4, doi: 10.1109/IWISA.2010.5473320.
2. C. Mahesh, K. Kiruthika and M. Dhilsathfathima, “;Diagnosing hepatitis B using artificial neural network based expert system,”; International Conference on Information Communication and Embedded Systems (ICICES2014), Chennai, India, 2014, pp. 1-7, doi: 10.1109/ICICES.2014.7033938.
3. Prediction model of hepatocellular carcinoma risk in Asian patients with chronic hepatitis B treated with entecavir;Chen;Oncotarget,2017
4. D. Singh, S. Verma and J. Singla, “A Neuro-fuzzy based Medical Intelligent System for the Diagnosis of Hepatitis B,” 2021 2nd International Conference on Computation, Automation and Knowledge Management (ICCAKM), Dubai, United Arab Emirates, 2021, pp. 107-111, doi: 10.1109/ICCAKM50778.2021.9357765.
5. G. S. Uttreshwar and A. A. Ghatol, “Hepatitis B Diagnosis Using Logical Inference And Generalized Regression Neural Networks,” 2009 IEEE International Advance Computing Conference, Patiala, India, 2009, pp. 1587-1595, doi: 10.1109/IADCC.2009.4809255.
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