COVID-19 Infection Prediction and Classification

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. © 2021, Springer Nature Switzerland AG.