Mental health evaluation method based on Internet cloud database

A kind of mental health and database technology, applied in the direction of electrical digital data processing, special data processing applications, health index calculation, etc., can solve the problem of no public psychological test scale score based on cloud storage, no public neural network assessment method for mental health, Non-linear classification and other problems, to achieve the effect of accurate RBF neural network evaluation model, accurate mental health results, and precise treatment plans

Pending Publication Date: 2017-02-15
山东腾泰医疗科技有限公司
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Problems solved by technology

However, mental health assessment and psychological problem identification are inherently pattern recognition or non-linear classification problems
The psychological state of each independent individual is a multi-dimensional information system, whose basic characteristics are multi-variable, multi-level, and strong coupling. There are complex nonlinear interactions among various factors within the system. Therefore, it is difficult to describe it with traditional mathematical methods.
Radial basis (RBF) neural network is an artificial neural network that uses local receptive fields to perform function mapping based on the knowledge of biological local adjustment and overlapping receptive regions. Its basic idea is: use radial basis function As the "base" of the hidden unit, the hidden layer constitutes the hidden layer space to transform the input vector, and transforms the low-dimensional pattern input data into the high-dimensional space, so that the problem of linear inseparability in the low-dimensional space can be solved in the high-dimensional space The inner line can be divided, Chinese Journal of Clinical Psychology, Volume 19, Issue 6, 2011, a document by Xi Xiaolan et al. (Neural Network-based Mental Health Assessment Model for College Students) reported the application of artificial neural network technology to the psychological assessment of college students Modeling, and established ...

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  • Mental health evaluation method based on Internet cloud database
  • Mental health evaluation method based on Internet cloud database

Examples

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Embodiment 1

[0036] This example provides an Internet-based mental health assessment method, the flow chart of which is as follows figure 1 shown, including the following steps.

[0037] S101: Establish and train an RBF neural network evaluation model.

[0038]Specifically, the RBF neural network algorithm is used to establish and train the RBF neural network evaluation model based on the factor scores of the psychological test scale in the known samples stored in the cloud; the RBF neural network algorithm is well known to those skilled in the art and will not be described in detail; Extract the first 100 samples from the known samples stored in the cloud, and form an N×100 input matrix according to the number of factors of the psychological test scale, where N is the number of factors of the corresponding psychological test scale; the psychological test in this example The scales include: Brief Psychiatric Scale, Depression Self-Rating Scale, Conners Childhood ADHD Rating Scale, Raven S...

Embodiment 2

[0047] Based on Embodiment 1, this example provides an Internet-based mental health assessment system, the principle diagram of which is as follows figure 1 shown. Including: evaluation system 1 and cloud 2, evaluation system 1 and cloud 2 are connected to the network.

[0048] Evaluation system 1 includes registration unit 11, RBF neural network model building unit 12, psychological test scale unit 13 and RBF neural network evaluation unit 14. Registration unit 11 is used for new individual registration personal information, and personal information includes: age, occupation, hobbies, marital status etc.

[0049] The RBF neural network model building unit 12 is used to utilize the RBF neural network algorithm, based on the factor scores of the psychological test scale in the known samples stored in the cloud 1, to establish and train the RBF neural network evaluation model; the psychological test scale unit 13 is used for new Individual psychological test, and obtain the fa...

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Abstract

The invention discloses a mental health evaluation method based on Internet cloud database. The method comprises the following steps: establishing and training a RBF neural network evaluation model based on the factor score of a mental test scale in a known sample stored in a cloud database by use of a RBF neural network algorithm; and acquiring the factor score of the mental test scale of a new individual, and obtaining a mental health state evaluation result of the new individual according to the RBF neural network evaluation model. Through the adoption of the method disclosed by the invention, the RBF neural network and the Internet cloud database storage technology are combined to evaluate the mental health, the examination information is effectively used for improving the mental problem recognition rate and precisely matching the therapeutic schedule, and a more scientific, faster, more precise and comprehensive mental health state evaluation method is established.

Description

technical field [0001] The invention relates to the technical field of mental health state assessment, in particular to a mental health assessment method based on an Internet cloud database. Background technique [0002] With the development of social economy and the improvement of human living standards, people's demand for health is also constantly increasing. The concept of health has surpassed the era of "disease-free" and entered the era of physical and mental health and high-quality life. Mental health, It is an inseparable important aspect of modern people's health. Mental health mainly refers to normal spirit, normal activities, and good psychological quality. Modern people's material life is relatively comfortable, but they are under great mental and psychological pressure. Mental health problems are increasingly becoming the health problems of modern people. Therefore, how to quickly, accurately and comprehensively assess an individual's physical and mental health ...

Claims

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Application Information

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IPC IPC(8): G06F19/00G06N3/04
CPCG06N3/04G16H50/30
Inventor 刘振亮
Owner 山东腾泰医疗科技有限公司
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