Using bi-dimensional representations to understand patterns in COVID-19 blood exam data-Reference-Cited by-同舟云学术

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Using bi-dimensional representations to understand patterns in COVID-19 blood exam data

Published:2022 Issue: Volume:28 Page:100828
ISSN:2352-9148
Container-title:Informatics in Medicine Unlocked
language:en
Short-container-title:Informatics in Medicine Unlocked

Author:

Bezzan Vitor P.,Rocco Cleber D.^ORCID

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Elsevier BV

Subject

Health Informatics

Reference39 articles.

1. Johns hopkins coronavirus resource center;JHCRC,2021

2. UMAP: Uniform manifold approximation and projection for dimension reduction;McInnes,2020

3. Diagnosis of COVID-19 and its clinical spectrum;HIAE,2020

4. Routine blood tests as a potential diagnostic tool for COVID-19;Ferrari;Clin Chem Lab Med,2020

5. Haematological characteristics and risk factors in the classification and prognosis evaluation of COVID-19: a retrospective cohort study;Liao;Lancet,2020

Cited by 1 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. COVID-19 health data analysis and personal data preserving: A homomorphic privacy enforcement approach;Computer Communications;2023-02

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