首页|Department of Radiology Reports Findings in Machine Learning (An explainable mac hine learning estimated biological age based on morphological parameters of the spine)
Department of Radiology Reports Findings in Machine Learning (An explainable mac hine learning estimated biological age based on morphological parameters of the spine)
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 th e subject of a report.According to news originating from Guiyang, People’s Repu blic of China, by NewsRx correspondents, research stated, “Accurately estimating biological age is beneficial for measuring aging and predicting risk.It is wid ely accepted that the prevalence of spine compression increases significantly wi th age.”
GuiyangPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningRisk and Prevention