Robotics & Machine Learning Daily News2024,Issue(Nov.11) :41-42.

University Hospital Grenoble Alpes Reports Findings in MachineLearning (Pilot d eployment of a machine-learning enhanced prediction of need for hemorrhage resus citation after trauma - the ShockMatrix pilot study)

格勒诺布尔阿尔卑斯大学医院报告机器发现学习(机器学习增强预测创伤后出血恢复需求的试点应用——ShockMatrix试点研究)

Robotics & Machine Learning Daily News2024,Issue(Nov.11) :41-42.

University Hospital Grenoble Alpes Reports Findings in MachineLearning (Pilot d eployment of a machine-learning enhanced prediction of need for hemorrhage resus citation after trauma - the ShockMatrix pilot study)

格勒诺布尔阿尔卑斯大学医院报告机器发现学习(机器学习增强预测创伤后出血恢复需求的试点应用——ShockMatrix试点研究)

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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。据新闻报道新sRx记者从法国格勒诺布尔报道,研究称,“创伤中的决策”患者仍在挑战,经常导致偏离指南。机器学习(ML)加强决策支持可以改善出血复苏。

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 Grenoble, France, by New sRx journalists, research stated, “Decision-making in traumapatients remains ch allenging and often results in deviation from guidelines. Machine-Learning (ML)enhanced decision-support could improve hemorrhage resuscitation.”

Key words

Grenoble/France/Europe/Cyborgs/Emerg ency Treatment/Emerging Technologies/Health and Medicine/Hemorrhage/Machine Learning/Resuscitation

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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