Respiratory system infectious disease outbreak prediction method and device based on social media information

The invention provides a respiratory system infectious disease outbreak prediction method and device based on social media information, and relates to the technical field of disease prediction. The method comprises the following steps: acquiring public discussed respiratory system infectious disease...

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Bibliographische Detailangaben
Hauptverfasser:	LI YANG, HOU ZHEN, TONG WEIYI, DENG JINGFEI
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING 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 provides a respiratory system infectious disease outbreak prediction method and device based on social media information, and relates to the technical field of disease prediction. The method comprises the following steps: acquiring public discussed respiratory system infectious diseases and symptoms thereof in a self-media environment, information of drugs, public online inquiry information and drug logistics data, integrating the data, calculating and evaluating the growth trend and growth speed of the infectious diseases, and comparing the data with historical transmission data of infectious diseases in a certain place at the same time; when the similarity between the comprehensive data and the characteristics of a certain infectious disease is high, an infectious disease early warning is given out; and if the comprehensive data and the historical infectious diseases are relatively low in feature similarity or are not associated, but the propagation rate of the comprehensive data and the histo