Machine learning with multimodal data for COVID-19-Reference-Cited by-同舟云学术

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Machine learning with multimodal data for COVID-19

Published:2023-07 Issue:7 Volume:9 Page:e17934
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Chen Weijie^ORCID,Sá Rui C.,Bai Yuntong^ORCID,Napel Sandy^ORCID,Gevaert Olivier,Lauderdale Diane S.,Giger Maryellen L.^ORCID

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference72 articles.

1. Weekly Epidemiological Update on COVID-19 - 30 November 2022;World Health Organization,2022

2. A comprehensive overview on COVID-19: future perspectives;Rana;Front. Cell. Infect. Microbiol.,2021

3. Post-acute COVID-19 syndrome;Nalbandian;Nat. Med.,2021

4. Imaging of COVID-19: CT, MRI, and PET;Fields;Semin. Nucl. Med.,2021

5. COVID-19 imaging: what we know now and what remains unknown;Kanne;Radiology,2021

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Algorithms for predicting COVID outcome using ready-to-use laboratorial and clinical data;Frontiers in Public Health;2024-05-14

2. Multimodal data fusion using sparse canonical correlation analysis and cooperative learning: a COVID-19 cohort study;npj Digital Medicine;2024-05-07

3. Toward the novel AI tasks in infection biology;mSphere;2024-02-28

4. Machine and deep learning methods for clinical outcome prediction based on physiological data of COVID-19 patients: a scoping review;International Journal of Medical Informatics;2024-02

5. A survey on the role of artificial intelligence in managing Long COVID;Frontiers in Artificial Intelligence;2024-01-11

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