首页|University of Toronto Reports Findings in Machine Learning (Machine Learning to Predict Outcomes of Endovascular Intervention for Patients With PAD)
University of Toronto Reports Findings in Machine Learning (Machine Learning to Predict Outcomes of Endovascular Intervention for Patients With PAD)
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-New research on Machine Learning is the subject of a report. According to news originating from Toronto, Canada, by Ne wsRx correspondents, research stated, “Endovascular intervention for peripheral artery disease (PAD) carries nonnegligible perioperative risks; however, outcome prediction tools are limited. To develop machine learning (ML) algorithms that can predict outcomes following endovascular intervention for PAD.”
TorontoCanadaNorth and Central AmericaAngiologyCyborgsEmerging TechnologiesHealth and MedicineMachine Learning
NETL
NSTL
