首页|Data on Machine Learning Reported by Jianxiu Lai and Colleagues (Detection of Chylous Plasma Based on Machine Learning and Hyperspectral Techniques)
Data on Machine Learning Reported by Jianxiu Lai and Colleagues (Detection of Chylous Plasma Based on Machine Learning and Hyperspectral Techniques)
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 Daily News – New research on Machine Learning is the subject of a report. According to news reportingoriginating in Jiangxi, People’s Republic of China, by NewsRx journalists, research stated, “Chylousblood is the main cause of unqualified and scrapped blood among volunteer blood donors. Therefore, adiagnostic method that can quickly and accurately identify chylous blood before donation is needed.”
JiangxiPeople’s Republic of ChinaAsiaBloodCyborgsEmerging TechnologiesHealth and MedicineHematologyMachine LearningPlasmaTechnology