{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T13:43:46Z","timestamp":1774446226452,"version":"3.50.1"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643683461","type":"print"},{"value":"9781643683478","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,10,18]],"date-time":"2022-10-18T00:00:00Z","timestamp":1666051200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,10,18]]},"abstract":"<jats:p>Recently, many research works adopt machine learning to provide accurate predictions on the COVID-19 pandemic. In this paper, we design and develop a web system which adopts machine learning methodologies to provide data analysis and data visualization. For experiment analytics results in the system, we find that SVM method outperforms LR method in every use case. We propose a web-based user-friendly and intuitive COVID-19 information hub, which can improve data accessibility to the public and allow more accurate decision-making to help fight the pandemic.<\/jats:p>","DOI":"10.3233\/faia220383","type":"book-chapter","created":{"date-parts":[[2022,10,31]],"date-time":"2022-10-31T09:32:12Z","timestamp":1667208732000},"source":"Crossref","is-referenced-by-count":1,"title":["Data Visualization and Analysis with Machine Learning for the USA\u2019s COVID-19 Prediction"],"prefix":"10.3233","author":[{"given":"Man-Ching","family":"Yuen","sequence":"first","affiliation":[{"name":"iFREE GROUP Innovation and Research Centre, Department of Applied Data Science, Hong Kong Shue Yan University, Hong Kong, China"}]},{"given":"Wing-Fat","family":"Cheng","sequence":"additional","affiliation":[{"name":"Department of Information Technology, Vocational Training Council, Hong Kong, China"}]},{"given":"Hiu-Hong","family":"Wong","sequence":"additional","affiliation":[{"name":"Department of Information Technology, University of the West of England Bristol, United Kingdom"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Fuzzy Systems and Data Mining VIII"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA220383","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,31]],"date-time":"2022-10-31T09:32:13Z","timestamp":1667208733000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA220383"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,18]]},"ISBN":["9781643683461","9781643683478"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia220383","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,10,18]]}}}