Drug retaking prognosis method of drug addict

Abstract

The invention discloses a drug retaking prognosis method of a drug addict. The method comprises the steps that a plurality of pictures related to drugs and pictures unrelated to the drugs are collected; a plurality of addicts under drug treatment are selected to conduct grading on the selected pictures, so that the pictures related to the drugs and the pictures unrelated to the drugs are selected;the attentional bias and implicit association of an addict to be prognosed are tested by means of the pictures; based on the test results, the drug retaking probability of the addict to be prognosedis predicted. According to the method, the attentional bias and implicit association of the addict to be prognosed are tested, so that the drug retaking probability of the addict to be prognosed is predicted and prognosed based on the test results; therefore, the drug retaking probability of the addict can be prognosed, moreover, prognosis is scientific and accurate, and the theoretical property is high.

Description

technical field [0001] The invention specifically relates to a relapse prediction method for drug addicts. Background technique [0002] Substance abuse, as a phenomenon of intermittent or continuous excessive use of psychoactive substances in violation of social norms or medical practices, has had a serious negative impact on the social and economic development of countries around the world, and the resulting drug trade has also replaced oil as the only It is the second largest global trade after arms, and it also poses a huge challenge to regional peace and stability. According to the 2016 World Drug Report released by the United Nations Office on Drugs and Crime, as of 2014, 1 in every 20 adults in the world, that is, 250 million people aged 15 to 64, have used at least one drug. With more than 29 million drug users suffering from drug use disorders and 14 per cent of the 12 million injecting drug users living with HIV, the impact and health consequences are catastrophic...

AI Technical Summary

Problems solved by technology

However, when detoxification personnel are detoxifying in a detoxification center, it is often impossible to predict the relapse tendency of the detoxification personnel. Therefore, the treatment and intervention for detoxification personnel have always been in an open-loop state, that is, after the detoxification course is completed, it is determined by manual judgment whether the detoxification personnel are detoxification Finish

The current method is extremely dependent on the experience and judgment of therapists, which is highly arbitrary and lacks theoretical basis.

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