首页|Second People’s Hospital Reports Findings in Machine Learning (Machine learning constructs a diagnostic prediction model for calculous pyonephrosis)
Second People’s Hospital Reports Findings in Machine Learning (Machine learning constructs a diagnostic prediction model for calculous pyonephrosis)
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 reporting originating from Yibin, Peopl e’s Republic of China, by NewsRx correspondents, research stated, “In order to p rovide decision-making support for the auxiliary diagnosis and individualized tr eatment of calculous pyonephrosis, the study aims to analyze the clinical featur es of the condition, investigate its risk factors, and develop a prediction mode l of the condition using machine learning techniques. A retrospective analysis w as conducted on the clinical data of 268 patients with calculous renal pelvic ef fusion who underwent ultrasonography-guided percutaneous renal puncture and drai nage in our hospital during January 2018 to December 2022.”
YibinPeople’s Republic of ChinaAsiaCyborgsDiagnostics and ScreeningEmerging TechnologiesHealth and MedicineMachine LearningRisk and Prevention
NETL
NSTL
