Robotics & Machine Learning Daily News2024,Issue(Jul.4) :36-37.

Fuwai Hospital Reports Findings in Machine Learning (Development and validation of a machine learning predictive model for perioperative myocardial injury in ca rdiac surgery with cardiopulmonary bypass)

阜外医院报告机器学习的发现(体外循环心脏手术围手术期心肌损伤机器学习预测模型的开发和验证)

Robotics & Machine Learning Daily News2024,Issue(Jul.4) :36-37.

Fuwai Hospital Reports Findings in Machine Learning (Development and validation of a machine learning predictive model for perioperative myocardial injury in ca rdiac surgery with cardiopulmonary bypass)

阜外医院报告机器学习的发现(体外循环心脏手术围手术期心肌损伤机器学习预测模型的开发和验证)

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摘要

机器人与机器学习的新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。根据NewsRx记者在中国人民共和国北京的新闻报道,研究表明:“不同临界值的围手术期心肌损伤(PMI)与心脏手术后不同的预后有关,机器学习(ML)方法已广泛应用于心脏手术围手术期风险预测。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting from Beijing, People’s Republ ic of China, by NewsRx journalists, research stated, “Perioperative myocardial i njury (PMI) with different cut-off values has showed to be associated with diffe rent prognostic effect after cardiac surgery. Machine learning (ML) method has b een widely used in perioperative risk predictions during cardiac surgery.”

Key words

Beijing/People’s Republic of China/Asia/C-Reactive Protein/Cardiac Surgery/Cardiology/Cardiopulmonary Bypass/Cybo rgs/Emerging Technologies/Health and Medicine/Machine Learning/Proteomics/Risk and Prevention

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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