Machine Learning in Fighting Pandemics: A COVID-19 Case Study-Reference-Cited by-同舟云学术

Machine Learning in Fighting Pandemics: A COVID-19 Case Study

Published:2020-12-12 Issue: Volume: Page:77-81
ISSN:2367-4512
Container-title:COVID-19: Prediction, Decision-Making, and its Impacts
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Author:

Mahmud Mufti,Kaiser M. Shamim

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-15-9682-7_9

Reference30 articles.

1. Atkinson B, Petersen E (2020) SARS-CoV-2 shedding and infectivity. Lancet 395(10233):1339–1340

2. Worldometer (2020) Coronavirus updates. https://www.worldometers.info/coronavirus/ Accessed 25 May 2020

3. World Health Organisation (2020) WHO director-general’s opening remarks at the media briefing on COVID-19 11 March 2020. https://www.who.int/dg/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19---11-march-2020 Accessed 25 May 2020

4. Satu MS, Khan MI, Mahmud M, Uddin S, Summers MA, Quinn JM, Moni MA (2020) TClustVID: a novel machine learning classification model to investigate topics and sentiment in COVID-19 Tweets. medRxiv. 2020:1–31. https://doi.org/10.1101/2020.08.04.20167973

5. CDC (2020) 1918 pandemic (H1N1 Virus). https://www.cdc.gov/flu/pandemic-resources/1918-pandemic-h1n1.html. Accessed 25 May 2020

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