Robotics & Machine Learning Daily News2024,Issue(Sep.9) :105-106.

University of California Davis Researchers Detail Findings in Machine Learning ( Performance of Automated Machine Learning in Predicting Outcomes of Pneumatic Re tinopexy)

Robotics & Machine Learning Daily News2024,Issue(Sep.9) :105-106.

University of California Davis Researchers Detail Findings in Machine Learning ( Performance of Automated Machine Learning in Predicting Outcomes of Pneumatic Re tinopexy)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news reporting out of Davis, Califor nia, by NewsRx editors, research stated, “Automated machine learning (AutoML) ha s emerged as a novel tool for medical professionals lacking coding experience, e nabling them to develop predictive models for treatment outcomes. This study eva luated the performance of AutoML tools in developing models predicting the succe ss of pneumatic retinopexy (PR) in treatment of rhegmatogenous retinal detachmen t (RRD). These models were then compared with custom models created by machine l earning (ML) experts.” Financial supporters for this research include Knights Templar Eye Foundation; B urroughs Wellcome Fund; Doris Duke Charitable Foundation.

Key words

University of California Davis/Davis/C alifornia/United States/North and Central America/Cyborgs/Emerging Technolog ies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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