Drug retaking prognosis method of drug addict

A technology of personnel and prediction, which is applied in the field of relapse prediction of drug addicts, can solve the problems of lack of theoretical basis, large randomness, and inability to predict the relapse tendency of drug addicts, and achieve the effect of strong theory and scientific and accurate prediction

Inactive Publication Date: 2018-01-16
HUNAN NORMAL UNIVERSITY
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  • Claims
  • Application Information

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...

Method used

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  • Drug retaking prognosis method of drug addict

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Embodiment Construction

[0042] Such as figure 1 Shown is the method flowchart of the method of the present invention: the relapse prediction method of the drug addict provided by the present invention comprises the following steps:

[0043] S1. Collect X drug-related pictures and X drug-independent pictures respectively; drug-related pictures include pictures of drugs, pictures of drug-taking utensils, pictures of drug-taking places, pictures of smoking scenes, and pictures with suggestive properties of drug-taking pictures; and pictures that have nothing to do with drugs can choose neutral pictures, such as tables, chairs, beds, sofas, sky, ocean, vehicles, etc.;

[0044]S2. Randomly select several persons who are undergoing drug rehabilitation to score the pictures selected in step S1, and use Likert 5-level scoring: 1 point means that the picture has nothing to do with drugs, and 5 means that the picture has a complete relationship with drugs; by scoring, Thus, Y pictures related to drugs and Y p...

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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...

Claims

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Application Information

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IPC IPC(8): A61B5/16A61M21/00
Inventor 周萍吴奇郎潇寒杨莉红陈明瑞张心薇
Owner HUNAN NORMAL UNIVERSITY
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