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Mental health assessment method based on privacy calculation

A mental health and privacy technology, applied in the field of machine learning, can solve problems such as information leakage and data not being well kept secret.

Pending Publication Date: 2021-06-11
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

Although these mental health assessment systems that have emerged can detect users' mental health problems to a certain extent, in this era of data and information profit-making, the data filled in by users is not well kept confidential, and information leakage exists. risks of

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  • Mental health assessment method based on privacy calculation

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Embodiment Construction

[0024] Next, the technical solutions in the embodiments of the present invention will be apparent from the embodiment of the present invention, and it is clearly described, and it is understood that the described embodiments are merely embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, there are all other embodiments obtained without making creative labor without making creative labor premises.

[0025] The present application relates to Logistic regression and formative encryption, where Logistic regression is a generalized linear regression that can regression analysis of independent nonlinear relationships between arguments and variables. Linear regression and logic regression have the same characteristics, both of which W'X + B, where W and B are parameters, which distinguishes that their due variables, multiple linear regression directly use W'X + B as variables, That is, Y = W'X + B, and logistic regression, p...

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Abstract

The invention relates to the technical field of machine learning, in particular to a mental health assessment method based on privacy calculation. The method comprises the following steps: acquiring random data for testing the mental health level of a user, and performing preprocessing to obtain preprocessed user mental health test data; performing Paillier homomorphic encryption on the preprocessed psychological health test data of the user to obtain encrypted data; and sending the encrypted data into a psychological health state assessment model, and judging whether the user has psychological symptoms and how the severity of the psychological symptoms is to obtain an assessment result. According to the method, the privacy data of the user for mental health assessment in the cloud environment can be effectively protected, and the privacy data of the user is prevented from being leaked.

Description

Technical field [0001] The present invention relates to the field of machine learning technologies, and in particular to a mental health assessment method based on privacy calculations. Background technique [0002] With the fact that many citizens in today's society, the increase in learning pressure, social stress and survival pressure, more and more people have this mental health problem, and some of the mental health assessment system and methods are also to address this phenomenon. Life. [0003] With the continuous development of machine learning technology and large data technology, the mechanical learning is constantly developing, and the machine learning can automatically learn and build intelligent assessment models with a large number of data, and the user's basic information data and historical behavior data. As a model evaluated one of mental health, it makes the assessment results more reliable. Patent No. CN 112530546A discloses a psychological pre-judgment method ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/30G06F21/62
CPCG16H50/30G06F21/62
Inventor 唐飞彭金兰徐婷鲜马建苓
Owner CHONGQING UNIV OF POSTS & TELECOMM
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