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A Unified Hierarchical XGBoost model for classifying priorities for COVID-19 vaccination campaign

Luca Romeo, Emanuele Frontoni

2021Pattern Recognition45 citationsDOIOpen Access PDF

Topics & Concepts

Categorical variableComputer scienceCoronavirus disease 2019 (COVID-19)Boosting (machine learning)Machine learningArtificial intelligenceData miningMedicineInfectious disease (medical specialty)PathologyDiseaseMachine Learning in HealthcareImbalanced Data Classification TechniquesCOVID-19 diagnosis using AI
A Unified Hierarchical XGBoost model for classifying priorities for COVID-19 vaccination campaign | Litcius