首页|University of California Reports Findings in Machine Learning (Synergistic bioph ysics and machine learning modeling to rapidly predict cardiac growth probabilit y)
University of California Reports Findings in Machine Learning (Synergistic bioph ysics and machine learning modeling to rapidly predict cardiac growth probabilit y)
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 o f a report. According to news reportingoriginating from Irvine, California, by NewsRx correspondents, research stated, “Computational modelsthat can predict g rowth and remodeling of the heart could have important clinical applications. Ho wever,the time it takes to calibrate and run current models while considering d ata uncertainty and variabilitymakes them impractical for routine clinical use. ”
IrvineCaliforniaUnited StatesNorth and Central AmericaBiophysicsCardiologyCyborgsEmerging TechnologiesHe alth and MedicineMachine LearningPhysics