Litcius/Paper detail

COVID-19 forecasting using shifted Gaussian Mixture Model with similarity-based estimation

Emre Külah, Yusuf Mücahit Çetinkaya, Arif Görkem Özer, Hande Alemdar

2022Expert Systems with Applications13 citationsDOI

Topics & Concepts

Coronavirus disease 2019 (COVID-19)Similarity (geometry)Computer scienceMixture modelEstimationArtificial intelligenceGaussian2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Data miningMachine learningPattern recognition (psychology)EconometricsMathematicsVirologyMedicineDiseaseManagementEconomicsOutbreakPathologyInfectious disease (medical specialty)PhysicsImage (mathematics)Quantum mechanicsCOVID-19 epidemiological studiesData-Driven Disease SurveillanceBayesian Methods and Mixture Models
COVID-19 forecasting using shifted Gaussian Mixture Model with similarity-based estimation | Litcius