Robotics & Machine Learning Daily News2024,Issue(Dec.4) :135-136.

Third Affiliated Hospital of Sun Yat-Sen University Reports Findings in Sepsis ( Identification of a Susceptible and High-Risk Population for Postoperative Syste mic Inflammatory Response Syndrome in Older Adults: Machine Learning-Based …)

中山大学第三附属医院报告脓毒症的发现(识别老年人术后系统性炎症反应综合征易感和高危人群:基于机器学习的…)

Robotics & Machine Learning Daily News2024,Issue(Dec.4) :135-136.

Third Affiliated Hospital of Sun Yat-Sen University Reports Findings in Sepsis ( Identification of a Susceptible and High-Risk Population for Postoperative Syste mic Inflammatory Response Syndrome in Older Adults: Machine Learning-Based …)

中山大学第三附属医院报告脓毒症的发现(识别老年人术后系统性炎症反应综合征易感和高危人群:基于机器学习的…)

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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编辑在广州的新闻报道,研究人员“全身炎症反应综合征(SIRS)是一种严重的术后并发症。”经常发展为脓毒症或甚至死亡的老年外科患者。值得注意的是,SIRS和脓毒症随着年龄的增长而稳步增加。

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 out of Guangzhou, People’s Republic of China, by NewsRx editors, researchstated, “Syst emic inflammatory response syndrome (SIRS) is a serious postoperative complicati on amongolder adult surgical patients that frequently develops into sepsis or e ven death. Notably, the incidences ofSIRS and sepsis steadily increase with age .”

Key words

Guangzhou/People’s Republic of China/A sia/Blood Diseases and Conditions/Cyborgs/Emerging Technologies/Health and M edicine/Hospitals/Machine Learning/Sepsis

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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