Machine learning models for the prediction of the SEIRD variables for the COVID-19 pandemic based on a deep dependence analysis of variables
Yullis Quintero, Douglas Ardila, Edgar Camargo, Francklin Rivas, José Aguilar
Topics & Concepts
MulticollinearityContext (archaeology)Predictive modellingMachine learningPopulationComputer scienceVariablesArtificial intelligenceRegression analysisDimensionality reductionExternal variablePredictive analyticsEconometricsStatisticsMathematicsGeographyMedicineProgramming languageEnvironmental healthArchaeologyCOVID-19 epidemiological studiesCOVID-19 Pandemic ImpactsCOVID-19 diagnosis using AI