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Psychological intervention scheme personalized recommendation method oriented to depressive emotion

A recommendation method, depression technology, applied in data processing applications, instruments, computing, etc., can solve the problems of low diagnosis recognition rate, mental health deviation, limited efficiency, etc.

Inactive Publication Date: 2014-11-12
朱健鹏 +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are some obvious deficiencies in this method: (1) This method only allows mental health service workers to adopt a passive waiting strategy, and cannot take the initiative to take effective measures to identify potential demand groups, resulting in a very low proportion of active participation in demand groups; ( 2) The psychological evaluation of the visitor is mainly based on his self-statement or report, which can hardly reflect the real state of the visitor in an instant, comprehensive, objective and continuous manner. As a result, the diagnostic recognition rate is low, usually less than 20%, which eventually leads to There are various deviations in mental health interventions, and timely correction and treatment cannot be given to the target group
(3) The efficiency of "face-to-face" consulting services is relatively limited, and it cannot effectively meet the needs of large-scale target groups
However, the service process settings of these existing mental health self-service platforms are relatively simple, and it is still impossible to implement personalized intervention and adjustment based on the actual state or actual psychological characteristics of users themselves.

Method used

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  • Psychological intervention scheme personalized recommendation method oriented to depressive emotion

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Embodiment Construction

[0012] Various details involved in the method provided by the present invention will be described in detail below in conjunction with the accompanying drawings.

[0013] The invention is mainly divided into two core parts, the quantitative calculation of the user's psychological characteristics and the individualized intervention for network users with depression.

[0014] The first part is the quantitative calculation of user psychological characteristics. This part mainly includes the following three main steps:

[0015] (1) Systematize and abstract user network behavior indicators, and establish a static and dynamic user network behavior indicator system for user network behavior.

[0016] (2) According to the network behavior indicators of depression, collect the user's network behavior data, and clean up these data, remove abnormal data in the data, correct errors, remove redundant data, and store the processed data in the database.

[0017] (3) Establish a calculation ...

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Abstract

The invention discloses a psychological intervention scheme personalized recommendation method oriented to depressive emotion, and belongs to the fields of computer network psychology, large data science and technology, abnormal psychology and the like. In terms of the practical situation that the scale of the population base of China is large and the number of per capita psychological worker is quite small, the artificial intelligence personalized intervention new method which can be applied to large-scale target groups with depressive emotion is provided strictly according to the network behavior characteristics of users and by making full advantages of the fact that the network resources are rich and colorful, high in interactivity and diversified in selection, and meanwhile, humanization, interactivity and other characteristics are also taken into consideration. According to the psychological intervention scheme personalized recommendation method oriented to the depressive emotion, effective psychological intervention can be carried out on a single user, effective, targeted and personalized psychological intervention can also be carried out on the network user groups with more than ten thousand people, and the method has important practical value in the field for solving the problem that mental health services are needed by people.

Description

technical field [0001] The invention is an intelligent machine intervention method for mental health problems based on computer technology and big data technology, which is mainly applied to computer user groups. The present invention relates to computational network psychology, and relates to disciplines and technologies such as machine learning, computer algorithm, applied psychology, personalized recommendation, mental health problem intervention, and computer program design. Background technique [0002] The definition of health by the World Health Organization means: "Health is not just the absence of disease and infirmity, but a state of perfect physical, mental, moral and social adaptability". It can be seen that mental health has become one of the important factors to measure whether a person is healthy. Mental health generally refers to: the individual's psychological activities are in a normal state, that is, normal cognition, emotional coordination, sound will, c...

Claims

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Application Information

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IPC IPC(8): G06Q50/22
Inventor 朱健鹏田琼朱廷劭
Owner 朱健鹏
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