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

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

Blood tests play an essential role in everyday medicine and are used by doctors in several diagnostic procedures. Moreover, this data is multivariate – and often some diseases, such as COVID-19, could have different symptom manifestations and outcomes. This study proposes a method of extracting usef...

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Bibliographic Details
Main Authors: Vitor P. Bezzan, Cleber D. Rocco
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Informatics in Medicine Unlocked
Subjects:
COVID-19
Blood exam
Machine learning
Unsupervised learning
Applied AI
Dimensionality reduction
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914821002902

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http://www.sciencedirect.com/science/article/pii/S2352914821002902

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