Comparing different machine learning techniques for predicting COVID-19 severity

Location
Deutsche Nationalbibliothek Frankfurt am Main
ISSN
2049-9957
Extent
Online-Ressource
Language
Englisch
Notes
online resource.

Bibliographic citation
Comparing different machine learning techniques for predicting COVID-19 severity ; volume:11 ; number:1 ; day:17 ; month:2 ; year:2022 ; pages:1-9 ; date:12.2022
Infectious diseases of poverty ; 11, Heft 1 (17.2.2022), 1-9, 12.2022

Creator
Xiong, Yibai
Ma, Yan
Ruan, Lianguo
Li, Dan
Lu, Cheng
Huang, Luqi
Contributor
SpringerLink (Online service)

DOI
10.1186/s40249-022-00946-4
URN
urn:nbn:de:101:1-2022052119212052913294
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:33 AM CEST

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Associated

  • Xiong, Yibai
  • Ma, Yan
  • Ruan, Lianguo
  • Li, Dan
  • Lu, Cheng
  • Huang, Luqi
  • SpringerLink (Online service)

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