Robotics & Machine Learning Daily News2024,Issue(Nov.29) :20-21.

Herdecke University Reports Findings in Machine Learning (Predictors of weaning failure in ventilated intensive care patients: a systematic evidence map)

Herdecke大学报告了机器学习的发现(通气重症监护患者脱机失败的预测因素:系统证据图)

Robotics & Machine Learning Daily News2024,Issue(Nov.29) :20-21.

Herdecke University Reports Findings in Machine Learning (Predictors of weaning failure in ventilated intensive care patients: a systematic evidence map)

Herdecke大学报告了机器学习的发现(通气重症监护患者脱机失败的预测因素:系统证据图)

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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Ne wsRx编辑从德国威腾报道,研究表明:“呼吸机脱机非常重要。”加强对病人的护理,避免因静脉延长而引起的并发症。然而,并非所有患者都能立即成功断奶。

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 out of Witten, Germany, by Ne wsRx editors, research stated, “Ventilator weaning is of greatimportance for in tensive care patients in order to avoid complications caused by prolonged ventil ation.However, not all patients succeed in weaning immediately.”

Key words

Witten/Germany/Europe/Cyborgs/Emergi ng Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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