COVID-19 Infection Prediction and Classification
| Autor: | Abdelkader Adla, Souad Taleb Zouggar |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
2019-20 coronavirus outbreak
Coronavirus disease 2019 (COVID-19) business.industry Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) 05 social sciences Decision tree Emergency department medicine.disease 03 medical and health sciences Confidence threshold 0302 clinical medicine 0502 economics and business medicine Bronchitis 050211 marketing 030212 general & internal medicine Medical emergency business Pneumonia (non-human) |
| Zdroj: | Information Management and Big Data ISBN: 9783030762278 SIMBig |
| DOI: | 10.1007/978-3-030-76228-5_14 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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