Robotics & Machine Learning Daily News2024,Issue(Jun.10) :112-113.

Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medic ine Reports Findings in Heart Failure (The Efficacy of Machine Learning Models for Predicting the Prognosis of Heart Failure: A Systematic Review and Meta-Analysis)

上海中医药大学附属曙光医院心力衰竭研究报告(机器学习模型预测心力衰竭预后的有效性:系统回顾和荟萃分析)

Robotics & Machine Learning Daily News2024,Issue(Jun.10) :112-113.

Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medic ine Reports Findings in Heart Failure (The Efficacy of Machine Learning Models for Predicting the Prognosis of Heart Failure: A Systematic Review and Meta-Analysis)

上海中医药大学附属曙光医院心力衰竭研究报告(机器学习模型预测心力衰竭预后的有效性:系统回顾和荟萃分析)

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摘要

一位新闻记者兼机器人与机器学习公司的新闻编辑每日新闻-心脏疾病和心脏病的新研究-心力衰竭是一篇报道的主题。根据NewsRx记者在中华人民共和国上海的新闻报道,研究表明:“心力衰竭(HF)是一个主要的全球公共卫生问题,应用机器学习(ML)识别高危个体并进行早期预防是改善心力衰竭预后的一个有希望的方法。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Heart Disorders and Di seases - Heart Failure is the subject of a report. According to news reporting f rom Shanghai, People’s Republic of China, by NewsRx journalists, research stated , “Heart failure (HF) is a major global public health concern. The application of machine learning (ML) to identify individuals at high risk and enable early in tervention is a promising approach for improving HF prognosis.”

Key words

Shanghai/People’s Republic of China/Asia/Cardiology/Cardiovascular Diseases and Conditions/Cyborgs/Emerging Techno logies/Health and Medicine/Heart Disease/Heart Disorders and Diseases/Heart Failure/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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