首页|First Affiliated Hospital of University of Science and Technology China (USTC) R eports Findings in Kidney Transplants (Predicting the risk of pulmonary infectio n after kidney transplantation using machine learning methods: a retrospective . ..)
First Affiliated Hospital of University of Science and Technology China (USTC) R eports Findings in Kidney Transplants (Predicting the risk of pulmonary infectio n after kidney transplantation using machine learning methods: a retrospective . ..)
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 Transplant Medicine - Kidney Transplants is the subject of a report.According to news originating fro m Anhui, People’s Republic of China, by NewsRx correspondents,research stated, “Pulmonary infection is the most common and serious complication after kidney tr ansplantationthat affects the survival of the transplanted kidney and the quali ty of life of patients. Thisstudy aims to construct a machine learning model fo r predicting the risk of pulmonary infection afterkidney transplantation.”
AnhuiPeople’s Republic of ChinaAsiaBiomedicineCyborgsEmerging TechnologiesHealth and MedicineKidney Transp lantsMachine LearningOrgan TransplantsRisk and PreventionSurgeryTransp lant MedicineTransplantation