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Learning where to look for COVID-19 growth: Multivariate analysis of COVID-19 cases over time using explainable convolution–LSTM

Novanto Yudistira, Sutiman Bambang Sumitro, Alberth Nahas, Nelly Florida Riama

2021Applied Soft Computing29 citationsDOIOpen Access PDF

Topics & Concepts

Computer scienceMultivariate statisticsAttributionCoronavirus disease 2019 (COVID-19)Convolution (computer science)Variable (mathematics)Multivariate analysisDimension (graph theory)Time seriesVariablesArtificial intelligenceEconometricsMachine learningMathematicsPsychologyArtificial neural networkMedicineDiseaseInfectious disease (medical specialty)Social psychologyPathologyPure mathematicsMathematical analysisCOVID-19 epidemiological studiesAnomaly Detection Techniques and ApplicationsCOVID-19 diagnosis using AI
Learning where to look for COVID-19 growth: Multivariate analysis of COVID-19 cases over time using explainable convolution–LSTM | Litcius