Litcius/Paper detail

Automatic Detection of Severely and Mildly Infected COVID-19 Patients with Supervised Machine Learning Models

Mehmet Tahir Huyut

2022IRBM66 citationsDOIOpen Access PDF

Topics & Concepts

Feature selectionArtificial intelligenceCoronavirus disease 2019 (COVID-19)Naive Bayes classifierMachine learningFeature (linguistics)MedicineBayes' theoremComputer scienceSupport vector machineDiseasePattern recognition (psychology)Internal medicineBayesian probabilityInfectious disease (medical specialty)LinguisticsPhilosophyCOVID-19 diagnosis using AIMachine Learning in HealthcareArtificial Intelligence in Healthcare
Automatic Detection of Severely and Mildly Infected COVID-19 Patients with Supervised Machine Learning Models | Litcius