摘要
机器人与机器学习的新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。根据NewsRx记者从宜宾发来的新闻报道，研究表明：“为了为结石性脓肾的辅助诊断和个体化治疗提供决策支持，本研究旨在分析结石性脓肾的临床特点，探讨其危险因素，为结石性脓肾的辅助诊断和个体化治疗提供决策支持。”对我院2018年1月至2022年12月在超声引导下经皮肾穿刺引流治疗的268例结石肾盂EF融合患者的临床资料进行回顾性分析。
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 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.”
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