DeepFlu: a deep learning approach for forecasting symptomatic influenza A infection based on pre-exposure gene expression-Reference-Cited by-同舟云学术

DeepFlu: a deep learning approach for forecasting symptomatic influenza A infection based on pre-exposure gene expression

Published:2022-01 Issue: Volume:213 Page:106495
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Zan Anna^ORCID,Xie Zhong-Ru,Hsu Yi-Chen,Chen Yu-Hao,Lin Tsung-Hsien^ORCID,Chang Yong-Shan^ORCID,Chang Kuan Y.^ORCID

Funder

Ministry of Science and Technology, Taiwan

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference47 articles.

1. Estimates of global seasonal influenza-associated respiratory mortality: a modelling study;Iuliano;Lancet,2018

2. WHO, Influenza (seasonal) facts: world health organization, 2018, https://www.who.int/news-room/fact-sheets/detail/influenza-(seasonal). (Accessed 31 Jan 2021).

3. Impact of influenza b lineage-level mismatch between trivalent seasonal influenza vaccines and circulating viruses, 1999–2012;Heikkinen;Clin. Infect. Dis.,2014

4. Influenza;Paules;Lancet,2017

5. Transmissibility and severity of influenza virus by subtype;Park;Infect. Genet. Evol.,2018

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