Robotics & Machine Learning Daily News2024,Issue(Nov.18) :37-38.

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 . ..)

中国科技大学第一附属医院(USTC)报告肾移植术后肺部感染风险的机器学习预测(回顾性分析) ..)

Robotics & Machine Learning Daily News2024,Issue(Nov.18) :37-38.

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 . ..)

中国科技大学第一附属医院(USTC)报告肾移植术后肺部感染风险的机器学习预测(回顾性分析) ..)

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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-移植药物的新研究-肾移植是一篇报道的主题。据NewsRx记者从中华人民共和国安徽发来的消息,研究表明:“肺部感染是肾移植术后最常见和最严重的并发症。”影响移植肾的存活和患者的生命质量。这个本研究旨在建立一个机器学习模型来预测术后肺部感染的风险肾移植》。

Abstract

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.”

Key words

Anhui/People’s Republic of China/Asia/Biomedicine/Cyborgs/Emerging Technologies/Health and Medicine/Kidney Transp lants/Machine Learning/Organ Transplants/Risk and Prevention/Surgery/Transp lant Medicine/Transplantation

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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