Selecting the best machine learning algorithm to support the diagnosis of Non-Alcoholic Fatty Liver Disease: A meta learner study
Author:
Funder
Ministry of Health, Italy
Apulia Region
Publisher
Public Library of Science (PLoS)
Subject
Multidisciplinary
Reference49 articles.
1. Epidemiology and natural history of non-alcoholic fatty liver disease;Y Fazel;Metabolism,2016
2. The epidemiology, pathogenesis and histopathology of fatty liver disease;AP Levene;Histopathology,2012
3. Global epidemiology of nonalcoholic fatty liver disease-Meta-analytic assessment of prevalence, incidence, and outcomes;ZM Younossi;Hepatology,2016
4. Epidemiology of HCV infection in the general population: a survey in a southern Italian town;R Cozzolongo;The American journal of gastroenterology,2009
5. Nonalcoholic steatohepatitis: summary of an AASLD Single Topic Conference;BA Neuschwander-Tetri;Hepatology,2003
Cited by 25 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. ARIEL: Brain-Computer Interfaces meet Large Language Models for Emotional Support Conversation;Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization;2024-06-27
2. Evolutive Models, Algorithms and Predictive Parameters for the Progression of Hepatic Steatosis;Metabolites;2024-04-03
3. Machine learning approaches to enhance diagnosis and staging of patients with MASLD using routinely available clinical information;PLOS ONE;2024-02-29
4. Machine learning improves the prediction of significant fibrosis in Asian patients with metabolic dysfunction‐associated steatotic liver disease – The Gut and Obesity in Asia (GO‐ASIA) Study;Alimentary Pharmacology & Therapeutics;2024-02
5. AI-Powered Automated Methods for Predicting Liver Disease: A Recent Review;Communications in Computer and Information Science;2024
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