Infectious disease case number prediction method, system and device and storage medium

Infectious disease case number prediction method, system and device and storage medium

The invention discloses an infectious disease case number prediction method, system and device and a storage medium, and relates to the technical field of data prediction models, and the method comprises the steps: obtaining a historical case daily growth data sequence, and segmenting the historical...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: LI XUEMEI, ZHAO TIANLONG, YUAN CHENXUN, ZHANG CAIMING
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA
INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:The invention discloses an infectious disease case number prediction method, system and device and a storage medium, and relates to the technical field of data prediction models, and the method comprises the steps: obtaining a historical case daily growth data sequence, and segmenting the historical case daily growth data sequence into subsequences; performing frequency decomposition, enhancement, reconstruction and residual connection on the historical sequence to obtain a composite sequence, and performing first sequence decomposition on the composite sequence to obtain a first periodic component; performing second sequence decomposition on the sub-sequence to obtain a second periodic component and a first trend component, performing frequency decomposition, enhancement, reconstruction and residual connection on the second periodic component, performing third sequence decomposition, and performing sequence attention matching on the obtained third periodic component and the first periodic component to obtain