Litcius/Paper detail

Time series prediction for the epidemic trends of COVID-19 using the improved LSTM deep learning method: Case studies in Russia, Peru and Iran

Peipei Wang, Xinqi Zheng, Gang Ai, Dongya Liu, Bangren Zhu

2020Chaos Solitons & Fractals171 citationsDOIOpen Access PDF

Topics & Concepts

Coronavirus disease 2019 (COVID-19)Computer scienceSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Long short term memoryTerm (time)Series (stratigraphy)Time series2019-20 coronavirus outbreakGeographyEconometricsOutbreakDemographyArtificial intelligenceRecurrent neural networkMachine learningArtificial neural networkMathematicsMedicineVirologyInfectious disease (medical specialty)BiologySociologyDiseasePaleontologyQuantum mechanicsPhysicsPathologyCOVID-19 epidemiological studiesAnomaly Detection Techniques and ApplicationsData-Driven Disease Surveillance