Acquired immune deficiency syndrome personnel behavior analysis method based on deep learning
作者： Zhu Junlin , Yang Shangming , Liu Yongguo , Lu Jiaxin , Wang Zhihua
DOI:
关键词: Crowds 、 Human–computer interaction 、 Analysis method 、 Acquired immunodeficiency syndrome (AIDS) 、 Artificial intelligence 、 Intervention (counseling) 、 Multiple time dimensions 、 Immune deficiency syndrome 、 Social communication 、 Computer science 、 Deep learning
摘要: The invention discloses an AIDS (acquired immune deficiency syndrome) personnel behavior analysis method based on deep learning. comprises the following steps: acquiring user data;and data, analyzing multi-dimensional space-time information of user, and constructing a portrait. Behavior portraying is performed patient network, geographic position social communication analysis, descriptive label attributes for are constructed in multiple dimensions such as communication. utilized to describe outline real personal characteristics aspects, used describing relatedcharacteristics, behaviors preferences. Potential rules crowds discovered, high-risk crowds, potential propagators propagation paths intervention link work assisted be intervened advance.
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