勘误：基于机器学习的冠状动脉旁路移植术后急性肾损伤预测。

IF 2.1 3区医学 Q3 RESPIRATORY SYSTEM

Journal of thoracic disease Pub Date : 2024-10-31 Epub Date: 2024-10-15 DOI:10.21037/jtd-2024-03

引用次数: 0

摘要

[This corrects the article DOI: 10.21037/jtd-24-711.].

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Erratum: Machine learning-based prediction of off-pump coronary artery bypass grafting-associated acute kidney injury.

[This corrects the article DOI: 10.21037/jtd-24-711.].

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来源期刊

Journal of thoracic disease RESPIRATORY SYSTEM-

CiteScore

4.60

自引率

4.00%

发文量

254

期刊介绍： The Journal of Thoracic Disease (JTD, J Thorac Dis, pISSN: 2072-1439; eISSN: 2077-6624) was founded in Dec 2009, and indexed in PubMed in Dec 2011 and Science Citation Index SCI in Feb 2013. It is published quarterly (Dec 2009- Dec 2011), bimonthly (Jan 2012 - Dec 2013), monthly (Jan. 2014-) and openly distributed worldwide. JTD received its impact factor of 2.365 for the year 2016. JTD publishes manuscripts that describe new findings and provide current, practical information on the diagnosis and treatment of conditions related to thoracic disease. All the submission and reviewing are conducted electronically so that rapid review is assured.