Robotics & Machine Learning Daily News2024,Issue(Nov.20) :99-100.

Marche Polytechnic University Reports Findings in Sepsis [The infection post flexible UreteroreNoscopy (I-FUN) predictive model based on mach ine learning: a new clinical tool to assess the risk of sepsis post retrograde i ntrarenal surgery for ...]

马尔切理工大学报告脓毒症的发现[基于马赫学习的柔性输尿管肾镜术后感染(I-FUN)预测模型:评估逆行肾镜术后脓毒症风险的新临床工具...]

Robotics & Machine Learning Daily News2024,Issue(Nov.20) :99-100.

Marche Polytechnic University Reports Findings in Sepsis [The infection post flexible UreteroreNoscopy (I-FUN) predictive model based on mach ine learning: a new clinical tool to assess the risk of sepsis post retrograde i ntrarenal surgery for ...]

马尔切理工大学报告脓毒症的发现[基于马赫学习的柔性输尿管肾镜术后感染(I-FUN)预测模型:评估逆行肾镜术后脓毒症风险的新临床工具...]

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-血液疾病和疾病的新研究-脓毒症是一篇报道的主题。根据NewsRx记者从意大利安科纳发回的新闻报道,研究表明,“创造一个估计逆行肾内手术(RI RS)后脓毒症可能性的机器学习模型。所有连续性肾结石患者(仅接受RIRS)在16个中心进行前瞻性研究。包括(2020年1月22日至2023年8月)。成人,仅Rena l Stone(Rena l Stone),CT扫描(三个月内),中游尿液培养(10天内)。合并输尿管结石,双侧手术。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Blood Diseases and Con ditions - Sepsis is the subject of a report.According to news reporting from An cona, Italy, by NewsRx journalists, research stated, “To create amachine-learni ng model for estimating the likelihood of post-retrograde intrarenal surgery (RI RS) sepsis.All consecutive patients with kidney stone(s) only undergoing RIRS i n 16 centers were prospectivelyincluded (January 2022-August 2023). adult, rena l stone(s) only, CT scan (within three months), midstreamurine culture (within 10 days). concomitant ureteral stone, bilateral procedures.”

Key words

Ancona/Italy/Europe/Blood Diseases an d Conditions/Bloodstream Infection/Cyborgs/Drugs and Therapies/Emerging Tech nologies/Health and Medicine/Machine Learning/Risk and Prevention/Sepsis/Se pticemia/Surgery

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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