Reply to “A machine learning model to predict liver-related outcomes after the functional cure of chronic hepatitis B: Is cirrhosis driving the performance?”

IF 26.8 1区 医学 Q1 GASTROENTEROLOGY & HEPATOLOGY
Moon Haeng Hur, Jeong-Hoon Lee
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引用次数: 0

Abstract

Section snippets

Grant support

This work was supported by National IT Industry Promotion Agency grant funded by the Korea Ministry of Science and ICT (S0252-21-1001), Liver Research Foundation of Korea as part of Bio Future Strategies Research Project, and Seoul National University Hospital Research Fund (04-2019-3090).

Authors’ contributions

MH and JL both drafted and reviewed the letter equally

Declaration of Competing Interest

Moon Haeng Hur: Nothing to declare; Jeong-Hoon Lee: Jeong-Hoon Lee receives research grants from Yuhan Pharmaceuticals and GreenCross Cell, and lecture fees from Samil Pharmaceuticals, GreenCross Cell, Daewoong Pharmaceuticals, and Gilead Korea.
对 "用于预测慢性乙型肝炎功能性治愈后肝脏相关结果的机器学习模型:肝硬化是否会影响其表现?"的回复
本研究得到了韩国科学和信息通信技术部资助的国家信息技术产业振兴院基金(S0252-21-1001)、作为生物未来战略研究项目一部分的韩国肝脏研究基金会以及首尔国立大学医院研究基金(04-2019-3090)的支持:Jeong-Hoon Lee 从 Yuhan Pharmaceuticals 和 GreenCross Cell 获得研究基金,并从 Samil Pharmaceuticals、GreenCross Cell、Daewoong Pharmaceuticals 和 Gilead Korea 获得讲课费。
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来源期刊
Journal of Hepatology
Journal of Hepatology 医学-胃肠肝病学
CiteScore
46.10
自引率
4.30%
发文量
2325
审稿时长
30 days
期刊介绍: The Journal of Hepatology is the official publication of the European Association for the Study of the Liver (EASL). It is dedicated to presenting clinical and basic research in the field of hepatology through original papers, reviews, case reports, and letters to the Editor. The Journal is published in English and may consider supplements that pass an editorial review.
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