Back to search

Article

Analysis of signs and symptoms of SARS-CoV-2 virus infection considering different waves using Machine Learning

2024-02-13

Abstract excerpt

In March 2020, the World Health Organization declared a world pandemic of COVID-19, which can manifest in humans as a consequence of virus infection of SARS-CoV-2. On this context, this work uses Data Mining and Machine Learning techniques for the infection diagnosis. A methodology was created to facilitate this task and can be applied in any outbreak or pandemic wave. Besides generating diagnosis models based onl...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
376e38d3-557a-5344-8503-a79396ebea0a
DOI
10.1101/2024.02.12.24302722
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Analysis of signs and symptoms of SARS-CoV-2 virus infection considering different waves using Machine LearningDOI 10.1101/2024.02.12.24302722
Select a neighboring publication to make it the new centre.