Prediction method and device for information of drug addict and computing equipment

Abstract

The invention provides a prediction method and device for information of a drug addict and computing equipment. The method comprises the steps of obtaining an original data set about a target crowd; wherein the original data set comprises a personnel basic information table and a personnel behavior record table; constructing a prediction sample set comprising at least one prediction sample based on the original data set; wherein one prediction sample is determined according to the personnel identity and a first preset time period, and each prediction sample comprises characteristics extractedbased on basic information of corresponding personnel and behavior information of the corresponding personnel in the corresponding first preset time period; and inputting the prediction sample set into a trained drug addict prediction model, obtaining a target probability of drug taking of the corresponding person after the first preset time period predicted by the model, and outputting the targetprobability. According to the technical scheme, the defects in the prior art can be overcome, prediction of the drug addict is achieved on the basis of big data, the whole process saves time and labor, and the prediction efficiency is very high.

Description

Technical field [0001] The present invention relates to the field of computer application technology, and in particular to a method, device and computing equipment for predicting information of drug addicts. Background technique [0002] For a long time, drug abuse has not only seriously harmed society, but also seriously damaged the physical and mental health of drug users. The arrest rate of drug addicts is positively correlated with the capabilities of anti-drug police in various regions. The level of experience of anti-drug police in different regions varies greatly, and a lot of subjective reasoning and judgment are required in the process of handling cases. As a result, there are still many drug addicts across the country. Therefore, the anti-narcotics police have been actively working hard to arrest drug users to reduce their damage to society. [0003] In the prior art, anti-narcotics police can arrest drug addicts through reports from the masses or key investigations on v...

AI Technical Summary

Problems solved by technology

That is to say, the prediction of existing drug addicts is completely realized manually, and the whole process is time-consuming, laborious and inefficient.

Images