Robotics & Machine Learning Daily News2024,Issue(Nov.29) :81-82.

St. Michael’s Hospital Reports Findings in Machine Learning (Sociodemographic bi as in clinical machine learning models: A scoping review of algorithmic bias ins tances and mechanisms)

圣迈克尔医院报告了机器学习的发现(社会人口学BI与临床机器学习模型一样:算法偏差的范围审查)

Robotics & Machine Learning Daily News2024,Issue(Nov.29) :81-82.

St. Michael’s Hospital Reports Findings in Machine Learning (Sociodemographic bi as in clinical machine learning models: A scoping review of algorithmic bias ins tances and mechanisms)

圣迈克尔医院报告了机器学习的发现(社会人口学BI与临床机器学习模型一样:算法偏差的范围审查)

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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新闻-机器学习的新研究是一份报告的主题。根据新闻报道源于加拿大多伦多,由sRx新通讯员撰写,研究称,“临床机器学习”(ML)技术有时可能有偏见,其使用可能加剧健康差距。范围存在偏见的群体,最常经历偏见的群体,以及通过在临床ML应用中引入了哪些偏倚没有得到很好的描述。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject o f a report. According to news reportingoriginating from Toronto, Canada, by New sRx correspondents, research stated, “Clinical machine learning(ML) technologie s can sometimes be biased and their use could exacerbate health disparities. The extentto which bias is present, the groups who most frequently experience bias , and the mechanism throughwhich bias is introduced in clinical ML applications is not well described.”

Key words

Toronto/Canada/North and Central Ameri ca/Algorithms/Cyborgs/Emerging Technologies/Epidemiology/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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