Robotics & Machine Learning Daily News2024,Issue(Jan.15) :17-17.

IMDEA Networks Institute Reports Findings in COVID-19 (Performance and explainability of feature selection-boosted tree-based classifiers for COVID-19 detection)

Robotics & Machine Learning Daily News2024,Issue(Jan.15) :17-17.

IMDEA Networks Institute Reports Findings in COVID-19 (Performance and explainability of feature selection-boosted tree-based classifiers for COVID-19 detection)

扫码查看

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 to newsoriginating from Madrid, Spain, by NewsRx correspondents, research stated, “In this paper, we evaluatethe performance and analyze the explainability of machine learning models boosted by feature selectionin predicting COVID-19-positive cases from self-reported information. In essence, this work describes amethodology to identify COVID-19 infections that considers the large amount of information collected bythe University of Maryland Global COVID-19 Trends and Impact Survey (UMD-CTIS).”

Key words

Madrid/Spain/Europe/COVID-19/COVID-19 Model/Coronavirus/Cyborgs/Disease Model/Emerging Technologies/Epidemiology/Machine Learning/RNA Viruses/Risk and Prevention/SARS-CoV-2/Severe Acute Respiratory Syndrome Coronavirus 2/Viral/Virology

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文