Robotics & Machine Learning Daily News2024,Issue(Dec.4) :156-157.

Research on Machine Learning Detailed by Researchers at University of Southern D enmark (Predicting stroke severity of patients using interpretable machine learn ing algorithms)

南方D Enmark大学研究人员详细介绍的机器学习研究(使用可解释机器学习算法预测患者中风严重程度)

Robotics & Machine Learning Daily News2024,Issue(Dec.4) :156-157.

Research on Machine Learning Detailed by Researchers at University of Southern D enmark (Predicting stroke severity of patients using interpretable machine learn ing algorithms)

南方D Enmark大学研究人员详细介绍的机器学习研究(使用可解释机器学习算法预测患者中风严重程度)

扫码查看

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新闻-目前关于人工智能的研究结果已经发表。根据新闻报道在NewsRx编辑的Southe RN Denmark大学外,研究表明:“中风是一种重要的疾病。”全球健康问题,位居第二大死因,并将其置于重要的经济医疗保健系统的负担,特别是在中低收入国家。及时评估卒中严重程度是预测临床结果的关键,标准评估工具是快速的动脉闭合评估(RACE)和美国国立卫生研究院卒中量表(NIHSS)。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on artificial intelligence have been published. According to news reportingout of the University of Southe rn Denmark by NewsRx editors, research stated, “Stroke is a significantglobal h ealth concern, ranking as the second leading cause of death and placing a substa ntial financialburden on healthcare systems, particularly in low- and middle-in come countries. Timely evaluation ofstroke severity is crucial for predicting c linical outcomes, with standard assessment tools being the RapidArterial Occlus ion Evaluation (RACE) and the National Institutes of Health Stroke Scale (NIHSS) .”

Key words

University of Southern Denmark/Algorith ms/Cyborgs/Emerging Technologies/Machine Learning

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文