Robotics & Machine Learning Daily News2024,Issue(Jun.17) :75-76.

Faculty of Medicine and University Hospital of Cologne Reports Findings in Machine Learning (First experiences with machine learning predictions of accelerated declining eGFR slope of living kidney donors 3 years after donation)

科隆医学院和大学医院报告了机器学习的发现(机器学习预测活体肾脏捐赠者捐赠3年后eGFR斜率加速下降的首次经验)

Robotics & Machine Learning Daily News2024,Issue(Jun.17) :75-76.

Faculty of Medicine and University Hospital of Cologne Reports Findings in Machine Learning (First experiences with machine learning predictions of accelerated declining eGFR slope of living kidney donors 3 years after donation)

科隆医学院和大学医院报告了机器学习的发现(机器学习预测活体肾脏捐赠者捐赠3年后eGFR斜率加速下降的首次经验)

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摘要

一位新闻记者兼机器人与机器学习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。根据NewsRx记者来自德国科隆的新闻报道,研究表明:“对活体肾脏供体进行筛选,以估计终末期肾病的风险(ESKD)。我们使用估计的GFR(eGFR)斜率作为目标变量,评估机器学习(ML),预测肾功能恶化的进展。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is the subject of a report. According to news reporting originating in Cologne, Germany, by NewsRx journalists, research stated, “Living kidney donors are screened p re-donation to estimate the risk of end-stage kidney disease (ESKD). We evaluate Machine Learning (ML) to predict the progression of kidney function deteriorati on over time using the estimated GFR (eGFR) slope as the target variable.”

Key words

Cologne/Germany/Europe/Cyborgs/Emerging Technologies/Machine Learning/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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