Risk assessment method and system for forcibly isolating drug addicts

Abstract

The invention relates to the technical field of big data analysis, in particular to a risk assessment method and a system for forcibly isolating drug addicts. The method comprises the steps of forminga forced isolation drug addiction treatment personnel risk assessment label by drug addiction treatment management personnel for the sample data of the forced isolation drug addiction treatment personnel and the risk assessment data screened by the user portrait label; inputting the user portrait label of each forced isolation drug abstinence person in the training set and the user portrait labelof each forced isolation drug abstinence person in the test set into a LightGBM classification model; and when the classification accuracy and the recall rate meet set values, obtaining a standard LightGBM classification model, and obtaining a risk assessment result of the to-be-assessed forced isolation drug abstinence person through the standard LightGBM classification model. The method can effectively predict and prevent the occurrence of abnormal behaviors of forced isolation drug addicts, and provides decision support for the implementation of supervision in the later period.

Description

technical field [0001] The invention relates to the technical field of big data analysis, in particular to a risk assessment method and system for compulsory isolated drug addicts. Background technique [0002] In recent years, some new problems and situations have occurred in the drug rehabilitation business system, such as escape, suicide, violence, sabotage and other abnormal behaviors. Issues that must be solved in the construction of modernization. [0003] At present, the risk assessment of the compulsory isolated detoxification personnel is mainly based on the subjective judgment of the experience of the grassroots police. This method has the following problems: First, it relies too much on manual assessment and cannot fully and accurately assess the risks of the detoxification personnel. This traditional passive manual supervision The model can no longer meet the needs of supervisory work under the new situation, especially for emergencies that cannot be prevented a...

AI Technical Summary

Problems solved by technology

[0003] At present, the risk assessment of the compulsory isolated detoxification personnel is mainly based on the subjective judgment of the experience of the grassroots police. This method has the following problems: First, it relies too much on manual assessment and cannot fully and accurately assess the risks of the detoxification personnel. This traditional passive manual supervision The model can no longer meet the needs of supervisory work under the new situation, especially for emergencies that cannot be prevented and dealt with in the first place; second, the basic information, shopping information, letter records, and education Massive information such as conversation records, family phone records, family meeting records, admission evaluations, reward and punishment scores, police reports, and reports from compulsory isolation drug rehabilitation personnel have not been fully utilized

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