Performance of machine learning approaches on prediction of esophageal varices for Egyptian chronic hepatitis C patients

Author:

Abd El-Salam Shimaa M.,Ezz Mohamed M.,Hashem Somaya,Elakel Wafaa,Salama Rabab,ElMakhzangy Hesham,ElHefnawi Mahmoud

Publisher

Elsevier BV

Subject

Health Informatics

Reference27 articles.

1. Baveno VI Faculty. Expanding consensus in portal hypertension: report of the Baveno VI Consensus Workshop: stratifying risk and individualizing care for portal hypertension;de Franchis;J Hepatol,2015

2. Comparitive study of machine learing technique for supervised classification;Peter Drotar;Acta Electrotech Inf,2014

3. Accurate prediction of response to interferon-based therapy in Egyptian patients with chronic hepatitis C using machine-learning approaches. IEEE/ACM international conference on advances in social networks analysis and mining, ASONAM 2012;ElHefnawi;IEEE Comput Soc,2012

4. A framework for prediction of response to hcv therapy using different data mining techniques;El Houby;Adv Bioinform,2014

5. Comparison of machine learning approaches for prediction of advanced liver fibrosis in chronic hepatitis C patients;Hashem;IEEE ACM Trans Comput Biol Bioinform,2018

Cited by 40 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. Hepatitis C Prediction Using Machine Learning and Deep Learning-Based Hybrid Approach with Biomarker and Clinical Data;Biomedical Materials & Devices;2024-06-05

2. Hepatitis C Prediction Using Feature Selection by Machine Learning Technique;Advances in Medical Diagnosis, Treatment, and Care;2024-05-31

3. AI based solution for Predicting Hepatitis C Virus from Blood Samples;2024 International Conference on Smart Systems for applications in Electrical Sciences (ICSSES);2024-05-03

4. Machine Learning in Healthcare Analytics: A State-of-the-Art Review;Archives of Computational Methods in Engineering;2024-04-04

5. Disease Outbreak /Epidemic in Public Health Sector;2024 6th International Conference on Computing and Informatics (ICCI);2024-03-06

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3