CN107305597A - It is a kind of that system is cured based on the psychological me that big data is analyzed - Google Patents
It is a kind of that system is cured based on the psychological me that big data is analyzed Download PDFInfo
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- CN107305597A CN107305597A CN201610242145.1A CN201610242145A CN107305597A CN 107305597 A CN107305597 A CN 107305597A CN 201610242145 A CN201610242145 A CN 201610242145A CN 107305597 A CN107305597 A CN 107305597A
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Abstract
It is a kind of that system is cured based on the psychological me that big data is analyzed.Divide three parts：First, the data such as continuous collecting user behavior, body index, psychological condition, the equation of structure of application autonomous exploitation speculates the mental process and feature of user；2nd, help assessment of the usage mining to itself multiple case, including Actual self, ideal self, dream of becoming self etc. multiple case；3rd, assist user to explore Actual self, ideal self and the frightened different feeling of self, set up user and experience collection of illustrative plates, the demand structure of self is constantly corrected by experiencing collection of illustrative plates, finally excavate self Cure Model of suitable user.The present invention is by the collection of psychological consultation case library and user psychology status data, and it is that user sets up self Cure Model more rapidly, effectively, accurately to be analyzed with algorithm, and foundation is provided for interference method.The present invention combines substantial amounts of data and analysis, and by efficiency analysis, to user, self cure method is intervened, and corrects user's healing process, improves and cures probability.
Description
Technical field
It is a kind of psychological me healing system analyzed based on big data while being related to deep learning and Data Mining the present invention relates to mental measurement, consulting and therapy field.
Background technology
Psychologic progress represents the progress of human thought.And the development of Psychological counseling and therapy, also it is demonstrated by psychologic prosperity.Today's society, the psychological problems that people face become increasingly complex, stress be increasing.Modern civilization to we bring very enrich, the material world of convenience and comfort while, also let us experienced anxiety rhythm of life, violent competitive pressure and the nature increasingly become estranged, so as to cause the mental handicape incidence of disease to climb up and up.Mental handicape is treated, the breakthrough and innovation of medical science can not be avoided to the barely satisfactory of the effect of mental disease drug therapy, and " In order to untie the bell, the person who tied it is required " " Habit cures habit " has witnessed the inevitable development of Psychological counseling and therapy cause；
Present cognition conditions method is traditionally divided into two kinds, one kind is cognitive behavioral therapy, it is using a series of behavior modification techniques that can be observed by science with checking during recognizing factor, the method emphasizes the leading role that cognitive change changes in individual, while also emphasizing the importance of behavior change；Another is cognitive analysis treatment method, is used for reference on the basis of recognizing factor and using the method for the treatments such as psychoanalysis, is goed deep into unconscious cognitive process and is gone to find that implicit knowledge or Process Character are supported, so as to correct partially bent cognitive.Two methods by help patient improve oneself to reality cognitive ability for the purpose of, change to self, to surrounding environment and to following distortion or the attitude of negative, treated in terms of personal multiple angles such as interpersonal relationships, social adaptation, subjective negative emotions.The change of cognition is a part for self general frame, be unable to do without the further investigation to self, including impression, needs, ability and the interactive analysis with external relations.Such as Fig. 1 autognosises and therapeutic process
Self theory refer to concept, memory, conclusion, experience, it is of all kinds can name and can not name intention, as be or be not consciousness aspect effort, the gathering of Unconscious memory, race, group, individual, clan and all, no matter it be outwards be incident upon it is on, or it is projected in spirit level as virtue, the struggle for chasing all is exactly self.
The psychological model construction of self, " main I " that is proposed from American Psychologist William James before 100 years and " objective I " and material self, the division of social self and psychological me, to self in Freud's theory of peronality, this I and super-ego, the real self and ideal self of subsequent Rogers's humanistic psychology, and widely used Ma Kusi possibility self model etc. at present, therapeutive practice is instructed in different aspects.
Data mining refers to the relation for finding to lie in data from substantial amounts of, incomplete, noisy, fuzzy, random data, is hidden in the process of wherein information by algorithm search from substantial amounts of data.The knowledge being hidden in data digging method analyze data, excavation in data can realize the processing higher level to data, will largely seem unordered data and be changed into useful, system knowledge.The main task of data mining is divided into classification, cluster, correlation rule, prediction, variance analysis.Conventional data digging method is traditional decision-tree and association rule mining.As Fig. 2 High Dimensional Clustering Analysis analyzes procedure chart.
The content of the invention
The present invention is a kind of psychological me healing system analyzed based on big data.Include the content of three parts：1）By the continuous measurement and collection to interactive datas such as user behavior, body index, psychological conditions, and speculate by the structural equation model developed alone the mental process and feature of user；2）It is theoretical by self, with big data analysis, user is helped to go to excavate the assessment to oneself multiple case, including " Actual self state ", " ideal self state ", " ego state dreamed of becoming ", " frightened ego state " and " hiding real self state "；3）User is assisted to go to explore Actual self, ideal self and the frightened different feeling of self, set up the impression collection of illustrative plates of user, the demand structure of self is constantly explored by the collection of illustrative plates of experiencing of self, model and the method that suitable user self cures are gone out further according to the mining analysis side usage mining of big data.The method of the present invention passes through passing psychological consultation case library and the measurement and collection to user's history psychological condition data, quicker, effective, high-precision user psychology health status can be analyzed and predicted by big data mining algorithm, user is helped to set up self Cure Model, providing interference method for the system provides foundation.The present invention combines the processing of substantial amounts of Data acquisition and issuance simultaneously, and by efficiency analysis, to user, self cure method is intervened, self healing process of correction user, so as to improve the probability of self healing.
The problem of in order to solve above, present invention firstly provides it is a kind of comprehensively, based on user's autognosis basis and beneficial to treatment and it is with correction process, and big data excavate processing process it is as follows：
Step 1. constructs psychological consultation template, and original database information is built by the collection of psychological consultation data, carries out analysis classification to case according to psychological knowledge, filters out useful information
Step 2. is by the collection of data in step 1, and the present invention, which is extracted, to be paid close attention to and characteristic information interested, with reference to the characterizing definition to mental health, sets up model by building the mental measurement equation of structure, and pass through the data acquisition acquisition general psychological characteristics of user
Step 3. is further comprised the steps of using equation of structure step 2：
Theoretical foundation, recognizing factor has three general principles：1st, cognition is the intermediary of emotion and behavior reaction, the reason for causing people's mood and behavioral problem be not event in itself, but explanation of the people to event；2nd, cognitive and emotion, behavior are connected each other, are influenced each other, and negativity is cognitive and affective behavior obstacle is mutually strengthened, and are formed vicious circle, are the major reasons of affective behavior obstacle protracted course of disease.Therefore, the key that vicious circle is treatment is broken；3rd, often there is great cognition and twist in emotional handicap patient, these cognitions twist be patient suffering true cause, be identified and correct once cognition is twisted, the emotional handicap of patient can rapidly improve obtaining
Step 4. is in data mining algorithm, and high latitude cluster dynamic analysis technology is the method solved the problems, such as.Fig. 3 Clustering Ensemble Approaches: Ans.The features such as due to current psychological data various dimensions, multi-factor structure, dynamic data, cause database size increasing, the complexities of data also more and more higher, traditional clustering algorithm（K-means）It has been no longer appropriate for.Dimensionality reduction is a key technology of high latitude clustering, this project uses the projection algorithm based on non-structural vector field data, multidimensional vector data are projected to step by step by weights low latitude space, High Dimensional Clustering Analysis problem analysis is converted into low latitude clustering problem, then solved by K-means.（Algorithm is illustrated：X1, X2, X3, X4, X5, five dimensions, by X1, X2, X3 projects to Y1, Y2, projects to Z1, Z2 by Y1, Y2, X4 for the second time, by Z1, Z2, X5 projects to U1, U2, is then analyzed by K-means）
Embodiment
In order to better illustrate technical scheme and implementation method, it is described in further details particular for embodiment：Fig. 4, project integrated stand composition
The psychological consultation case template developed according to step 1. present invention by the present invention, by the test to a large amount of crowds, the user data of acquisition is imported the analysis for being easy to later step 2 in database
, specifically can be as follows with the detailed step of decomposition step 2 according to the equation of structure of step 2：
Step 2.1, according to the equation of structure coefficient and weights related to model acquisition
Step 2.2, using the integrated approach based on mutual confederate matrix, the ratio that two data point persons of being clustered into account for cluster member with the number of times in cluster is calculated, in this, as the similarity measurement between data point pair, such as formula construction matrix：
The common recognition function of formula 1
, specifically can be as follows with the detailed step of decomposition step 3 by the autognosis treatment method in step 3：
Step 3.1, the collection by user's physiological data, and according to the measuring similarity of common recognition function, user is helped to go to excavate the scenario building to self multiple case, including " Actual self state ", " ideal self state ", " ego state dreamed of becoming ", " frightened ego state " and " hiding real self state ", user is to the feedback of self under different scenes for collection
Step 3.2, according to user under self multiple case, data analysis and collection on multiple time shafts are analyzed by data mining algorithm
Step 3.3, therapeutic intervention model and method are found out using similarity algorithm, the intervention treated to user's autognosis and the psychological massage of auxiliary, the deviation that correction user cognition is present
Response data under step 3.4, repeated collection user self multiple case is analyzed, and constantly user cognition is corrected by therapeutic intervention method, is that deviation is restrained
Shown by result, the solution of the present invention and algorithm can be improved to for the treatment of user's autognosis.
It is related herein to realize Organization Chart 5, system web terminal Organization Chart.
Claims (5)
1. a kind of comprised the following steps based on the psychological me healing system that big data is analyzed：
The relevant indication information of step 1, acquisition user, including essential information, personality information etc.
Step 2, set up the cognitive multiple case model of psychological me
Step 3, pass through the continuous therapeutic intervention process of Heal Thyself, correct error
Step 4, by big data mining algorithm analysis provide the user Heal Thyself scheme.
2. psychological me as claimed in claim 1 cures system, it is characterised in that：
The step 1 is further comprised the steps of：
Age of step 1.1 user, sex, religion, nationality, schooling, body weight, foul disease, body temperature, occupation, marital status, whether there is psychiatric history, whether only-child etc.
The psychologic examination of step 1.2 user, including two aspect contents:1. observe impression：（The forms such as video or photo can be passed through）Whether main description user is punctual（Or in advance）, appearance（Glamour/defect）, build（It is fat, thin, healthy and strong etc.）, clothing（It is whether clean and tidy）, dressing（It is strange whether in accordance with identity, it is modish）, posture, action（Stereotyped action, unconscious movement etc.）, Emotion expression（Do not mind, low, happiness）, the interactive relationship with psychologist（Cooperation, impedance）And attitude（Equality, respect etc.）, with other people relation gone together（Conflict, compliance etc.）2 Psychological Evaluation results：Description test title and test result, the physiological status of main description user（Height, BMI, sleep health, medical history etc.）, emotional state（Tensity, pleasure degree, intensity etc.）, cognitive, behavior, social interaction etc..
3. psychological me as claimed in claim 1 cures system, it is characterised in that：
The step 2 is further comprised the steps of：
Step 2.1 is theoretical by self, with big data analysis, excavate the assessment to self multiple case, including " Actual self state ", " ideal self state ", " ego state dreamed of becoming ", " frightened ego state " and " hiding real self state "
。
4. psychological me as claimed in claim 1 cures system, it is characterised in that：
The step 3 is further comprised the steps of：Set up autognosis and know storehouse, effective prevention is carried out to user's Heal Thyself.
5. psychological me as claimed in claim 1 cures system, it is characterised in that：
The step 4 is further comprised the steps of：
Step 4.1 is in data mining algorithm, high latitude cluster dynamic analysis technology is the method solved the problems, such as, the features such as due to current psychological data various dimensions, multi-factor structure, dynamic data, causes database size increasing, the complexity of data also more and more higher, traditional clustering algorithm（K-means）It has been no longer appropriate for, dimensionality reduction is a key technology of high latitude clustering, this project uses the projection algorithm based on non-structural vector field data, multidimensional vector data are projected to step by step by weights low latitude space, High Dimensional Clustering Analysis problem analysis is set to be converted into low latitude clustering problem, solved again by K-means（Algorithm is illustrated：X1, X2, X3, X4, X5, five dimensions, by X1, X2, X3 projects to Y1, Y2, projects to Z1, Z2 by Y1, Y2, X4 for the second time, by Z1, Z2, X5 projects to U1, U2, is then analyzed by K-means）.
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| CN108922595A (en) * | 2018-06-21 | 2018-11-30 | 广东蔚海数问大数据科技有限公司 | Soul accompanies method, apparatus, robot and computer storage medium |
| CN110908348A (en) * | 2019-11-15 | 2020-03-24 | 珠海格力电器股份有限公司 | Intelligent household control method and system |
| CN113748449A (en) * | 2019-03-27 | 2021-12-03 | 人间制造局有限责任公司 | Evaluation and training system |
| CN118035692A (en) * | 2024-04-12 | 2024-05-14 | 宫羽(沈阳)医疗科技有限公司 | Intelligent emotion adjustment auxiliary system |
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