摘要
一位新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-机器学习的新研究是一篇报告的主题。据NewsRx记者从曼彻斯特联合王国发回的新闻报道，研究表明：“术后住院时间(LOS)是监测护理质量、病人康复和指导医院资源管理的一个有价值的指标。但是，以贫困指数(IMD)衡量的病人种族、社会经济贫困的影响，"在公共医疗机构中,对于前路减压融合术后(ACDF)的既往健康状况的研究还不够."
Abstract
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 Manchester, United Kin gdom, by NewsRx correspondents, research stated, "Post-operative length of hospi tal stay (LOS) is a valuable measure for monitoring quality of care provision, p atient recovery, and guiding hospital resource management. But the impact of pat ient ethnicity, socio-economic deprivation as measured by the indices of multipl e deprivation (IMD), and pre-existing health conditions on LOS post-anterior cer vical decompression and fusion (ACDF) is under-researched in public healthcare s ettings."
NETL
NSTL