A review on statistical and machine learning approaches to forecasting the occurrence of covid-19 positive cases

• 主要な著者: Velentine Jaulip, Rayner Alfred
• フォーマット: Proceedings
• 言語: English; English
• 出版事項: Springer 2022
• 主題: QA76.75-76.765 Computer software
• オンライン･アクセス: https://eprints.ums.edu.my/id/eprint/34247/2/A%20review%20on%20statistical%20and%20machine%20learning%20approaches%20to%20forecasting%20the%20occurrence%20of%20covid-19%20positive%20cases.ABSTRACT.pdf; https://eprints.ums.edu.my/id/eprint/34247/1/A%20Review%20on%20Statistical%20and%20Machine%20Learning%20Approaches%20to%20Forecasting%20the%20Occurrence%20of%20Covid-19%20Positive%20Caseshe%20Occurrence%20of%20Covid-19%20Positive%20Cases.pdf; https://eprints.ums.edu.my/id/eprint/34247/; https://link.springer.com/chapter/10.1007/978-981-16-8515-6_12

The World Health Organization (WHO) classified the 2019 new corona virus a worldwide pandemic on March 11th, 2020. Corona virus, also known as COVID-19, initially appeared in Wuhan, Hubei province, China, around December 2019 and quickly spread around the world. Many research efforts in the battle a...