首页|University of California Davis Researchers Detail Findings in Machine Learning ( Performance of Automated Machine Learning in Predicting Outcomes of Pneumatic Re tinopexy)
University of California Davis Researchers Detail Findings in Machine Learning ( Performance of Automated Machine Learning in Predicting Outcomes of Pneumatic Re tinopexy)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
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.
University of California DavisDavisC aliforniaUnited StatesNorth and Central AmericaCyborgsEmerging Technolog iesMachine Learning
NETL
NSTL
