Robotics & Machine Learning Daily News2024,Issue(Nov.28) :189-189.

Zhejiang University School of Medicine Reports Findings in Machine Learning (Dev elopment and validation of a machine learning model to predict the risk of readm ission within one year in HFpEF patients: Short title: Prediction of HFpEF …)

浙江大学医学院发表机器实验报告学习(机器学习模型的开发和验证预测HFpEF患者一年内再入院的风险:简称:HFpEF的预测

Robotics & Machine Learning Daily News2024,Issue(Nov.28) :189-189.

Zhejiang University School of Medicine Reports Findings in Machine Learning (Dev elopment and validation of a machine learning model to predict the risk of readm ission within one year in HFpEF patients: Short title: Prediction of HFpEF …)

浙江大学医学院发表机器实验报告学习(机器学习模型的开发和验证预测HFpEF患者一年内再入院的风险:简称:HFpEF的预测

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。据新闻报道NewsRx记者从中华人民共和国杭州报道,研究称,"心脏"射血分数(HFpEF)升高的失败与再入院率和再入院率升高有关死亡率。准确预测再入院风险对于优化医疗资源和加强病人的结果"。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting from Hangzhou, People’s Repub lic of China, by NewsRx journalists, research stated, “Heartfailure with preser ved ejection fraction (HFpEF) is associated with elevated rates of readmission a ndmortality. Accurate prediction of readmission risk is essential for optimizin g healthcare resources andenhancing patient outcomes.”

Key words

Hangzhou/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Hospitals/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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