Robotics & Machine Learning Daily News2024,Issue(Dec.3) :63-64.

University of Science and Technology of China Reports Findings in COVID-19 (Mach ine learning based predictive modeling and risk factors for prolonged SARS-CoV-2 shedding)

中国科技大学在COVID-19(基于机器学习的sars-cov-2长期脱落预测模型和危险因素)中报告了研究结果

Robotics & Machine Learning Daily News2024,Issue(Dec.3) :63-64.

University of Science and Technology of China Reports Findings in COVID-19 (Mach ine learning based predictive modeling and risk factors for prolonged SARS-CoV-2 shedding)

中国科技大学在COVID-19(基于机器学习的sars-cov-2长期脱落预测模型和危险因素)中报告了研究结果

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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-冠状病毒的新研究-COVID-19是一篇报道的主题。根据来自安徽的新闻报道,《中国人民日报》,由NewsRx记者报道,研究称:“2019年冠状病毒疾病的全球爆发(COVID-19)具有巨大的破坏性,其中严重急性呼吸综合征冠状病毒2型(SARS-COV-2,以前为2019年-nCoV(nCoV)感染是COVID-19防治的一个挑战然而,影响SARS-CoV-2延迟脱落的危险因素研究不完全。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Coronavirus - COVID-19 is the subject of a report. According tonews reporting from Anhui, People’s Re public of China, by NewsRx journalists, research stated, “Theglobal outbreak of the coronavirus disease 2019 (COVID-19) has been enormously damaging, in whichprolonged shedding of severe acute respiratory syndrome coronavirus 2 (SARS-CoV- 2, previously 2019-nCoV) infection is a challenge in the prevention and treatmen t of COVID-19. However, there is stillincomplete research on the risk factors t hat affect delayed shedding of SARS-CoV-2.”

Key words

Anhui/People’s Republic of China/Asia/COVID-19/COVID- 19 Model/Coronavirus/Cyborgs/Disease Model/Emerging Technol ogies/Epidemiology/Gender Health/Gender and Health/Health and Medicine/Immu nization/Machine Learning/Public Health/RNA Viruses/Respiratory Tract Diseas es and Conditions/Risk and Prevention/SARS/SARS-CoV-2/Severe Acute Respirato ry Syndrome/Severe Acute Respiratory Syndrome Coronavirus 2/Vaccination/Viral/Virology/Women’s Health

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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