Adolescent suicide or self-injury risk assessment early-warning model building method

A technology of risk assessment and early warning model, applied in the direction of prediction, instrumentation, data processing applications, etc., can solve the problems of failure to find the suicidal behavior start switch, lack of correction technology, etc., and achieve the effect of reducing the occurrence of suicide or self-injury behavior

Inactive Publication Date: 2015-09-02
CHONGQING MEDICAL UNIVERSITY
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AI Technical Summary

Problems solved by technology

[0003] At present, there have been many studies on the genetics and neuroimaging of adolescent suicide, but this type of research has not yet found an accurate "start switch" for suicidal behavior, and on the other hand,

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  • Adolescent suicide or self-injury risk assessment early-warning model building method

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Embodiment Construction

[0013] The present invention will be described in detail below in conjunction with specific embodiments. It should be noted that the technical features or combinations of technical features described in the following embodiments should not be regarded as isolated, and they can be combined with each other to achieve better technical effects.

[0014] figure 1 Shown is a flow chart of a method for constructing an early warning model for juvenile suicide or self-injury risk assessment in the present invention.

[0015] Such as figure 1 As shown, a method for constructing an early warning model for juvenile suicide or self-injury risk assessment provided by the present invention comprises the following steps:

[0016] Step S1: Collect risk predictor information of persons to be evaluated through questionnaire survey.

[0017] This method establishes a network screening platform and collects information such as the general situation, personal experience, behavioral habits, and p...

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Abstract

The invention provides an adolescent individual self-injury or suicide risk assessment method comprising the following steps: collecting risk prediction factor information of persons to be assessed through questionnaire survey; building a psychological behavior characteristic vector according to the risk prediction factor information, and dividing the persons into a training set and a test set; establishing an individual suicide or self-injury behavior probability model according to the training set; establishing a risk scoring function according to the individual suicide or self-injury behavior probability model; and inputting the test data set to a risk assessment early-warning model to verify the performance of the risk assessment early-warning model. By adopting the risk assessment early-warning model built based on the computer technology, individuals and groups with risk of suicide or self-injury can be predicted effectively, and then psychological counseling is offered to the individuals and groups so as to effectively reduce the occurrence of suicide or self-injury behavior.

Description

technical field [0001] The invention belongs to the field of juvenile psychology research, and in particular relates to a method for constructing a juvenile suicide or self-injury risk assessment early warning model. Background technique [0002] Suicide refers to the deliberate or voluntary use of various means to end one's own life. It is one of the leading causes of non-accidental deaths among adolescents worldwide and has become a major global public health problem. my country is one of the countries with a high suicide rate. Every year, 287,000 people commit suicide and 2 million people attempt suicide (Suicide attempt, SA). For teenagers aged 15-34, suicide has become the first cause of death. Juvenile suicide not only brings a huge psychological blow to the family, but also causes serious losses to the society, so the research on the risk factors of juvenile suicide is very important. [0003] At present, there have been many studies on the genetics and neuroimaging ...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/26
Inventor 况利王我陈建梅
Owner CHONGQING MEDICAL UNIVERSITY
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