Robotics & Machine Learning Daily News2024,Issue(Nov.7) :26-27.

University of California San Diego (UCSD)Reports Findings in Machine Learning ( A machine learning framework to adjust for learning effects in medical device sa fety evaluation)

Robotics & Machine Learning Daily News2024,Issue(Nov.7) :26-27.

University of California San Diego (UCSD)Reports Findings in Machine Learning ( A machine learning framework to adjust for learning effects in medical device sa fety evaluation)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news originating from San Diego, California, by NewsRx correspondents, research stated, “Traditional methods for medical dev ice post-market surveillance often fail to accurately account for operator learn ing effects, leading to biased assessments of device safety. These methods strug gle with non-linearity, complex learning curves, and time-varying covariates, su ch as physician experience.”

Key words

San Diego/California/United States/No rth and Central America/Cyborgs/Emerging Technologies/Health and Medicine/Ma chine Learning/Medical Devices

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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