首页|University of Toronto Reports Findings in Machine Learning (Evaluating the Reliability of a Remote Acuity Prediction Tool in a Canadian Academic Emergency Department)
University of Toronto Reports Findings in Machine Learning (Evaluating the Reliability of a Remote Acuity Prediction Tool in a Canadian Academic Emergency Department)
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 DailyNews – New research on Machine Learning is the subject of a report. According to news reporting out ofToronto, Canada, by NewsRx editors, research stated, “There is increasing interest in harnessing artificialintelligence to virtually triage patients seeking care. The objective was to examine the reliability of a virtualmachine learning algorithm to remotely predict acuity scores for patients seeking emergency department(ED) care by applying the algorithm to retrospective ED data.”
TorontoCanadaNorth and Central AmericaAlgorithmsCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
