Robotics & Machine Learning Daily News2024,Issue(MAY.1) :4-5.

University of Calgary Cumming School of Medicine Researchers Broaden Understandi ng of Machine Learning (Achieving high interrater reliability in establishing d ata labels: a retrospective chart review study)

Robotics & Machine Learning Daily News2024,Issue(MAY.1) :4-5.

University of Calgary Cumming School of Medicine Researchers Broaden Understandi ng of Machine Learning (Achieving high interrater reliability in establishing d ata labels: a retrospective chart review study)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on artificial intelligenc e is the subject of a new report. According tonews reporting out of Calgary, Ca nada, by NewsRx editors, research stated, “In medical research, theeffectivenes s of machine learning algorithms depends heavily on the accuracy of labeled data . This study aimed to assess inter-rater reliability (IRR) in a retrospective el ectronic medical chart review to createhigh quality labeled data on comorbiditi es and adverse events (AEs).”

Key words

University of Calgary Cumming School of Medicine/Calgary/Canada/North and Central America/Cyborgs/Emerging Technolo gies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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