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2021 | OriginalPaper | Chapter

COVID-19 Infection Prediction and Classification

Authors : Souad Taleb Zouggar, Abdelkader Adla

Published in: Information Management and Big Data

Publisher: Springer International Publishing

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Abstract

Symptoms associated with COVID-19 are very similar to and difficult to distinguish from those of seasonal flu, bronchitis, or pneumonia. The use of tests, expensive and unavailable in most countries, especially developing ones, may be unnecessary in the case of a suspected COVID. This work is carried out in order to decide if a patient is a priori infected and must be tested. Otherwise, the patient will not be screened using a confidence threshold. The data is collected at the emergency department of the EHU of Oran in Algeria. The COVID-19infection classification and prediction are performed by decision trees.

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Title: COVID-19 Infection Prediction and Classification
Authors: Souad Taleb Zouggar
Abdelkader Adla
Publisher: Springer International Publishing
Book: Information Management and Big Data
Print ISBN: 978-3-030-76227-8

Electronic ISBN: 978-3-030-76228-5

Copyright Year: 2021
DOI: https://doi.org/10.1007/978-3-030-76228-5_14

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