A conformal regressor for predicting negative conversion time of Omicron patients-Reference-Cited by-同舟云学术

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A conformal regressor for predicting negative conversion time of Omicron patients

Published:2024-02-16 Issue: Volume: Page:
ISSN:0140-0118
Container-title:Medical & Biological Engineering & Computing
language:en
Short-container-title:Med Biol Eng Comput

Author:

Wang Pingping,Wu Shenjing,Tian Mei,Liu Kunmeng,Cong Jinyu,Zhang Wei,Wei Benzheng^ORCID

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

Introduction and Cultivation Program for Young CreativeTalents in Colleges and Universities of Shandong Province

the Special fund of Qilu Health and Health Leading Talents Training Project

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11517-024-03029-8.pdf

Reference40 articles.

1. Callaway E, Ledford H et al (2021) How bad is Omicron? What Sci Know Nat 600(7888):197–199. https://doi.org/10.1126/science.acx9782

2. Thakur V, Ratho RK (2022) OMICRON (B. 1.1. 529): a new SARS-CoV-2 variant of concern mounting worldwide fear. J Med Virol 94(5):1821–1824. https://doi.org/10.1002/jmv.27541

3. Shao J, Fan R, Hu J, Zhang T, Lee C, Huang X, Wang F, Liang H, Jin Y, Jiang Y et al (2022) Clinical progression and outcome of hospitalized patients infected with SARS-CoV-2 Omicron variant in shanghai, china. Vaccines 10(9):1409. https://doi.org/10.3390/vaccines10091409

4. Fan Y, Li X, Zhang L, Wan S, Zhang L, Zhou F (2022) SARS-CoV-2 Omicron variant: recent progress and future perspectives. Signal Transduct Target Ther 7(1):1–11. https://doi.org/10.1038/s41392-022-00997-x

5. Tian D, Sun Y, Xu H, Ye Q (2022) The emergence and epidemic characteristics of the highly mutated SARS-CoV-2 Omicron variant. J Med Virol 94(6):2376–2383. https://doi.org/10.1002/jmv.27643

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