Big data-based predicting and analysis system for relapse of drug addicts in forced isolation detoxification

Abstract

The invention discloses a big data-based predicting and analysis system for relapse of drug addicts in forced isolation detoxification, which comprises a data acquisition layer, a data storage layer,a data analysis layer and a data application layer. The data acquisition layer is used for obtaining data of a forced isolation detoxification and detoxification person; The data analysis layer carries out analysis and judgment on the data of the forced isolation detoxification personnel and obtains an analysis and judgment result; The data analysis layer sends the analysis and judgment result tothe data application layer; On the basis of the analysis results, the data application layer provides intelligent analysis, auxiliary decision-making, abnormal early warning, linkage disposal and visual display services to the mandatory isolation drug treatment center. The invention is based on the big data technology to analyze and judge the data information of the forced isolation detoxificationdetoxification personnel, and can accurately predict the relapse trend of the early warning forced isolation detoxification detoxification personnel.

Description

technical field [0001] The invention relates to the field of big data predictive analysis, in particular to a big data-based relapse predictive analysis system for persons who have been detoxified from compulsory isolation and detoxification. Background technique [0002] High relapse rate has always been a major problem in drug rehabilitation work. According to statistics, the consolidation rate of global drug rehabilitation is only 9%, and the relapse rate of drug addicts in developed countries such as the United States with advanced drug rehabilitation technology is as high as 90%. The problem of relapse rate is also not optimistic. [0003] In order to reduce the relapse rate to the greatest extent, the traditional way of preventing relapse of persons who have been released from compulsory isolation detoxification through cognitive training and rehabilitation training has certain effects, but there are still some problems, such as: it is difficult to grasp the Relevant ...

AI Technical Summary

Problems solved by technology

[0003] In order to reduce the relapse rate to the greatest extent, the traditional way of preventing relapse of persons who have been released from compulsory isolation detoxification through cognitive training and rehabilitation training has certain effects, but there are still some problems, such as: it is difficult to grasp the Relevant information such as the working conditions and living conditions of the detoxified personnel; the relevant data on the detoxified personnel from compulsory isolation detoxification is difficult to be shared and applied; there is no set of scientific theories and methods to support the relapse prediction and early warning mechanism of detoxification personnel from compulsory isolation detoxification. errors caused by human judgment, etc.

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