A mental health guide service providing device and operation method using mind text-based counseling history learning data

KR103015052B1Active Publication Date: 2026-09-04DOCTORPRESSO CO LTD
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Patent Information

Application Number
KR1020230009353
Authority / Receiving Office
KR · KR
Patent Type
Patents
Current Assignee / Owner
Filing Date
2023-01-25
Publication Date
2026-09-04
Estimated Expiration
2043-01-25

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Abstract

A method according to an embodiment of the present invention comprises, in a method of operating a service providing device, the steps of: constructing a mental health counseling guide learning model configured to output mental health guide information corresponding to a counseling text input using mental text-based psychiatric specialist counseling history learning data; extracting a first counseling target text information from text data received from a user terminal; inputting the first counseling target text information into the mental health counseling guide learning model to obtain the first mental health guide information; and constructing mental health guide service data using the first mental health guide information and providing it to the user terminal or a specialist terminal corresponding to the user terminal.
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Description

Technology Field

[0001] The present invention relates to a service providing device and a method of operation thereof. More specifically, the present invention relates to a mental health guide service providing device using mind text-based counseling history learning data and a method of operation thereof. Background Technology

[0002] In general, mental illnesses, including depression, manifest in diverse ways, making it difficult to assess the mental health of patients with mild or severe conditions by comparing them to healthy individuals.

[0003] Furthermore, since the appropriate mental health solutions differ for mild and severe patients, there is a problem in that it is difficult to select and provide specific mental health solutions that include various psychotherapy and pharmacological treatment processes suitable for each patient.

[0004] For example, while patients with mild depression may see symptom improvement with medication or psychotherapy alone, patients with severe depression require both medication and psychotherapy to improve; however, there is a problem in determining how much medication and psychotherapy should be provided to each patient.

[0005] To address this, various text-based psychological counseling and testing applications that allow for mental health consultations with psychiatrists are emerging.

[0006] However, currently, there are limitations as there are not enough psychiatrists compared to the actual demand from general users, and it is difficult for general users to afford the costs associated with specialist services. Prior art literature

[65535] (Patent Document 0001) KR 1020190125154 A(Patent Document 0002) KR 1020210058449 A(Patent Document 0003) KR 1020220118656 A(Patent Document 0004) KR 102287577 B(Patent Document 0005) KR 1020180052413 A The problem to be solved

[0007] The present invention was devised to solve the aforementioned problems, and aims to provide a mental health guide service providing device and a method of operation thereof that utilizes mind text-based psychiatric specialist consultation history learning data to provide appropriate mental health guide responses based on specialist consultation history to text inputs such as general users' mind diaries and psychological counseling, and thereby provide various mental health-related guide services, such as guidance on depression treatment and medication treatment, appropriately and at low cost. means of solving the problem

[0008] A method of operation of a service providing device according to an embodiment of the present invention for solving the problem described above comprises: a step of constructing a mental health counseling guide learning model configured to output mental health guide information corresponding to a counseling text input using mental text-based psychiatric specialist counseling history learning data; a step of extracting a first counseling target text information from text data received from a user terminal; a step of inputting the first counseling target text information into the mental health counseling guide learning model to obtain the first mental health guide information; and a step of constructing mental health guide service data using the first mental health guide information and providing it to the user terminal or a specialist terminal corresponding to the user terminal.

[0009] In addition, a service providing device according to an embodiment of the present invention for solving the problem described above comprises: a mental health counseling guide learning model configuring unit that constructs a mental health counseling guide learning model configured to output mental health guide information corresponding to a counseling text input using mind text-based psychiatric specialist counseling history learning data; and a service providing unit that extracts first counseling target text information from text data received from a user terminal, inputs the first counseling target text information into the mental health counseling guide learning model to obtain first mental health guide information, constructs mental health guide service data using the first mental health guide information, and provides it to the user terminal or a specialist terminal corresponding to the user terminal. Effects of the invention

[0010] According to an embodiment of the present invention, a mental health counseling guide learning model configured to output mental health guide information corresponding to a counseling text input is constructed using mental text-based psychiatric specialist counseling history learning data, and mental health guide service data is constructed using the same and provided to the user terminal or a specialist terminal corresponding to the user terminal.

[0011] Accordingly, the present invention utilizes mind text-based psychiatric specialist consultation history learning data to provide appropriate mental health guidance responses based on specialist consultation history to text inputs such as general users' mind diaries and psychological counseling, and can provide various mental health-related guidance services, such as guidance on depression treatment and medication treatment, based thereon at an appropriate and low cost. Brief explanation of the drawing

[0012] FIG. 1 is a conceptual diagram schematically illustrating the entire system according to an embodiment of the present invention. FIG. 2 is a block diagram illustrating a service providing device according to an embodiment of the present invention in more detail. FIG. 3 is a flowchart illustrating the operation method of a service providing device according to an embodiment of the present invention. FIGS. 4 to 7 are exemplary diagrams of a specialized terminal and a user terminal interface screen configured according to an embodiment of the present invention. Specific details for implementing the invention

[0013] The following description merely illustrates the principles of the present invention. Therefore, those skilled in the art may invent various devices that embody the principles of the present invention and are included within the concept and scope of the present invention, even though they are not explicitly described or illustrated in this specification. Furthermore, all conditional terms and embodiments listed in this specification are, in principle, explicitly intended only for the purpose of understanding the concept of the present invention and should be understood not as being limited to the embodiments and conditions specifically listed as such.

[0014] Furthermore, it should be understood that all detailed descriptions enumerating specific embodiments, as well as the principles, aspects, and embodiments of the present invention, are intended to include structural and functional equivalents thereof. In addition, it should be understood that such equivalents include not only currently known equivalents but also equivalents to be developed in the future, that is, all elements invented to perform the same function regardless of structure.

[0015] Accordingly, for example, the block diagrams in this specification should be understood as representing a conceptual view of an exemplary circuit embodying the principles of the present invention. Similarly, all flowcharts, state transition diagrams, pseudocode, etc., should be understood as representing various processes that can be substantially represented on a computer-readable medium and are performed by a computer or processor, regardless of whether the computer or processor is explicitly depicted.

[0016] Furthermore, the explicit use of terms presented as processor, control, or similar concepts should not be interpreted as exclusively referring to hardware capable of executing software, but should be understood to implicitly include, without limitation, digital signal processor (DSP) hardware, ROM, RAM, and non-volatile memory for storing software. Other commonly known hardware may also be included.

[0017] The aforementioned objectives, features, and advantages will become clearer through the following detailed description in conjunction with the attached drawings, and accordingly, a person skilled in the art to which the present invention pertains will be able to easily implement the technical concept of the present invention. Furthermore, in describing the present invention, if it is determined that a detailed description of known technology related to the present invention may unnecessarily obscure the essence of the present invention, such detailed description will be omitted.

[0018] Hereinafter, a preferred embodiment according to the present invention will be described in detail with reference to the attached drawings.

[0020] FIG. 1 is a schematic diagram illustrating the entire system according to an embodiment of the present invention.

[0021] Referring to FIG. 1, a system according to one embodiment of the present invention may include a mental health guide service providing device (100), a user terminal (200), and a specialist terminal (300).

[0022] More specifically, the mental health guide service providing device (100), user terminal (200), and specialist terminal (300) can be connected via a network via wired or wireless connection.

[0023] For mutual communication between networks, each mental health guide service provider (100), user terminal (200), and specialist terminal (300) can transmit and receive data through an internet network, LAN, WAN, PSTN (Public Switched Telephone Network), PSDN (Public Switched Data Network), cable TV network, WIFI, mobile communication network, and other wireless communication networks. Additionally, each mental health guide service provider (100), user terminal (200), and specialist terminal (300) may include a communication module for communicating with a protocol corresponding to each communication network.

[0024] In addition, the user terminal (200) and the professional terminal (300) described in this specification may include mobile phones, smartphones, laptop computers, digital broadcasting terminals, PDAs (Personal Digital Assistants), PMPs (Portable Multimedia Players), navigation systems, etc., but the present invention is not limited thereto and may be various other devices capable of user input and information display.

[0025] In such a system, the mental health guide service providing device (100) can check whether text data including first counseling target text information is received from the user terminal (200). For example, the user terminal (200) can generate text data including first counseling target text information and transmit it to the mental health guide service providing device (100).

[0026] And, when text data including first counseling target text information is received, the mental health guide service providing device (100) obtains counselor information corresponding to the first counseling target text information, inputs the counselor information and the first counseling target text information into a pre-established mental health counseling guide learning model to obtain first mental health guide information, and constructs mental health guide service data using the first mental health guide information and provides it to the user terminal (200) or a specialist terminal (300) corresponding to the user terminal (200).

[0027] Here, the first counseling target text information may include mental text information input from a user terminal (200). The mental text information is text freely input by the user of the user terminal (200) in the form of a mental diary, and can be used for mental health guide analysis. Additionally, the first counseling target text information may be obtained based on text input from the user terminal (200), or may be obtained from converted text obtained by converting from mental diary voice information input to the user terminal (200).

[0028] And, the first mental health guide information corresponding to this first counseling target text information can be applied according to the construction of a machine learning model based on mental text-based psychiatric specialist counseling history learning data collected in advance from the service providing device (100).

[0029] Here, the machine learning model may be configured according to various artificial intelligence learning algorithms that learn the association between separately collected mental text input information and psychiatric specialist consultation history information corresponding to the mental text input information. Furthermore, the learning model may improve accuracy by performing relationship learning processing between at least one of depression-related information, anxiety disorder-related information, sleep disorder-related information, and burnout-related information corresponding to the emotional state evaluation included in each consultation history information. The algorithm for constructing such a learning model may be implemented by applying various known learning model construction algorithms in combination, such as Convolutional Neural Networks (CNN), Hidden Markov Models (HMM), regression analysis models, and decision tree models.

[0030] In addition, the machine learning model may be composed of multiple models according to each learning algorithm and classification of learning data; for example, the first mental health guide information corresponding to the first counseling target text information may include multiple first mental health guide texts according to the output of each model.

[0031] These multiple first mental health guide texts may be provided to a specialist terminal (300), and a counseling information input interface configured using the multiple first mental health guide texts may be output from the specialist terminal (300). Through the counseling information input interface, the specialist may select and input any one of the multiple first mental health guide texts, and the specialist terminal (300) may transmit a sending request to a service providing device (100) to provide the selected specific first mental health guide text to a user terminal (200).

[0032] Additionally, the specialist terminal (300) may receive editing input corresponding to the selected specific first mental health guide text from the specialist, and according to the editing input information, the specific first mental health guide text requested to be sent to the service providing device (100) may be modified and converted.

[0033] According to the system configuration, the mental health guide service providing device (100) can acquire first mental health guide information as the output of a pre-established mental health counseling guide learning model in response to the mental text input of the user terminal (200), and can configure mental health guide service data using the acquired first mental health guide information and provide it to the user terminal (200) or a specialist terminal (300) corresponding to the user terminal (200).

[0034] The transmission and reception of such service data may be performed through an application installed on each terminal, or through data in the format of an email, short message, or long text message, and the application data, email, or data in the format of a short message or long text message may be transmitted and received through a mobile communication network or a dedicated internet network.

[0035] To this end, the mental health guide service providing device (100) can be implemented as a server device that performs overall roles such as communication protocol conversion, file server, collect server, push gateway server, transmission server, account server, admin server, receiving server, conversion server, messaging server, push receiving server, and push sending server functions.

[0036] Additionally, the mental health guide service providing device (100) may manage all or part of the transmitted and received data, including the first counseling target text information and the first mental health guide information, by encrypting it as needed.

[0037] Meanwhile, a separate application for providing a mental health guide service according to an embodiment of the present invention may be installed on the user terminal (200) and the specialist terminal (300), and each user terminal (200) and the specialist terminal (300) may basically include the configuration of a general portable terminal including a separate control unit (not shown), a storage unit (not shown), an output unit (not shown), and a communication unit (not shown).

[0039] FIG. 2 is a block diagram illustrating a service providing device according to an embodiment of the present invention in more detail.

[0040] Referring to FIG. 2, a mental health guide service providing device (100) according to an embodiment of the present invention includes a communication unit (110), a control unit (120), a database (130), an emotional state information identification unit (140), a service providing unit (150), and a model learning unit (160).

[0041] The control unit (120) controls the overall operation of each module and provides operation processing according to the service provision method according to an embodiment of the present invention, and may include one or more microprocessors for this purpose.

[0042] The communication unit (110) may include one or more modules that enable wired or wireless communication between the network where the user terminal (200) and the specialist terminal (300) are located. For example, the communication unit (110) may include at least one of a mobile communication module, a wired internet module, a wireless internet module, and a short-range communication module.

[0043] And, the service provider (150) can receive a mental text from a user terminal (200), configure mental health guide service data corresponding thereto, and process a transmission service to transmit to a user terminal (200) or a specialist terminal (300).

[0044] More specifically, when the service providing unit (150) receives mental text information corresponding to a mental diary, mental counseling, etc. from a user terminal (200), it extracts first counseling target text information from the text information, inputs the first counseling target text information into a mental health counseling guide learning model pre-built through a model learning unit (160) to obtain first mental health guide information, and constructs mental health guide service data using the first mental health guide information and provides it to the user terminal (200) or a specialist terminal (300) corresponding to the user terminal (200).

[0045] To this end, the service providing unit (150) can register and manage user identification information corresponding to users of user terminals (200) and specialist terminals (300) using each mental health guide service providing device (100), and can collect user information corresponding to each user identification information and store and manage it in a database (130). In addition, all or part of the user information may be stored in an encrypted form.

[0046] In particular, user information of the specialist terminal (300) may be stored and classified in advance as expert profile information.

[0047] And, all or part of the functions processed by the service provider (150) may be implemented through an application of each user terminal (200) or a specialized terminal (300).

[0048] Meanwhile, user information may include not only mind text input information, but also self-psychological test result information processed through screening, counseling history information, mental health-related hospital prescription information, and lifelog data information collected in correspondence with user identification information. Based on the collection of such user information, the model learning unit (160) can construct mind text-based psychiatric specialist counseling history learning data and can build a mental health counseling guide learning model from said learning data.

[0049] Meanwhile, the emotional state information identification unit (140) can determine mental health-related classification identification information corresponding to the user's mental health state for each emotional classification from the first mental health guide information output from the learning model in response to the first counseling target text information, and transmit the determined classification identification information to the service provision unit (150).

[0050] Accordingly, the service provider (150) may configure mental health-related classification service information based on each classification identification information and provide it to a user terminal (200) or a specialist terminal (300) through the service provider (150).

[0051] More specifically, the mental health-related classification identification information may include depression-related information. Here, the depression-related information may include depression classification identification information indicating any one of mania, normal, depression, mild depression, moderate depression, and severe depression, which is determined in correspondence with the first counseling target text information.

[0052] Here, the service provider (150) may configure a first mental health-related classification service information including depression notification message information, depending on the depression classification identification information, if the depression classification identification information is moderate depression or severe depression, and provide it to a user terminal (200).

[0053] Additionally, the service provider (150) may configure first mental health-related classification service information, including a mental test evaluation graph provided in units of a certain period when the depression classification identification information is manic, normal, depressive, or in the case of depression, and provide it to the user terminal (200).

[0054] Meanwhile, the above-mentioned mental health-related classification identification information may include information related to anxiety disorders. Here, the above-mentioned anxiety disorder-related information may include anxiety disorder classification identification information indicating any one of normal, anxiety, mild anxiety disorder, moderate anxiety disorder, or severe anxiety disorder, which is determined in correspondence with the above-mentioned first counseling target text information.

[0055] Here, the service provider (150) may configure a first mental health-related classification service information including anxiety disorder notification message information, based on the anxiety disorder classification identification information, if the anxiety disorder classification identification information is a moderate anxiety disorder or a severe anxiety disorder, and provide it to a user terminal (200).

[0056] Additionally, the service provider (150) may configure first mental health-related classification service information, including a mental test evaluation graph provided in units of a certain period when the anxiety disorder classification identification information is normal, anxious, or mild anxiety disorder, and provide it to the user terminal (200).

[0057] Meanwhile, the above-mentioned mental health-related classification identification information may include information related to reduced concentration. The above-mentioned information related to reduced concentration may include information regarding reduced concentration classification indicating any one of normal, mild reduced concentration, moderate reduced concentration, or severe reduced concentration, which is determined in correspondence with the above-mentioned first counseling target text information.

[0058] Here, the service provider (150) may configure a first mental health-related classification service information including a concentration decline notification message information, depending on the concentration decline classification identification information, if the concentration decline classification identification information is moderate concentration decline or severe concentration decline, and provide it to a user terminal (200).

[0059] Additionally, the service provider (150) may configure first mental health-related classification service information, including a mental test evaluation graph provided in units of a certain period when the concentration decline classification identification information is normal or mild concentration decline, and provide it to the user terminal (200).

[0060] Meanwhile, the above-mentioned mental health-related classification identification information may include sleep disorder-related information. The above-mentioned sleep disorder-related information may include sleep disorder classification identification information indicating any one of normal, mild sleep disorder, moderate sleep disorder, or severe sleep disorder, which is determined in correspondence with the above-mentioned first counseling target text information.

[0061] Here, the service provider (150) may configure first mental health-related classification service information including sleep disorder notification message information according to sleep disorder classification identification information, if the sleep disorder classification identification information is a moderate sleep disorder or a severe sleep disorder, and provide it to a user terminal (200).

[0062] Additionally, the service provider (150) may configure first mental health-related classification service information, including a mental test evaluation graph provided in units of a certain period when the sleep disorder classification identification information is normal or mild sleep disorder, and provide it to the user terminal (200).

[0063] Meanwhile, the above-mentioned mental health-related classification identification information may include burnout-related information, and the above-mentioned burnout-related information may include burnout classification identification information indicating any one of normal, daily routine guidelines, or burnout, which is determined in correspondence with the above-mentioned first counseling target text information.

[0064] Here, the service provider (150) may configure first mental health-related classification service information, including daily guidelines and burnout notification message information in the case of burnout, according to burnout classification identification information, and provide it to a user terminal (200).

[0065] Additionally, the service provider (150) may configure first mental health-related classification service information, including a mental test evaluation graph provided in units of a certain period when the burnout classification identification information is normal, and provide it to the user terminal (200).

[0066] Meanwhile, the database (130) can store programs for the operation of each component, can store input / output data, and can store and manage an artificial intelligence learning-based mental health counseling guide learning model separately built in the model learning unit (160).

[0067] Here, the AI ​​learning-based mental health counseling guide learning model may be an AI-trained learning model that outputs a first mental health guide text corresponding to a psychiatric specialist's counseling history from the mental text input of the learning data. In addition, the learning model may improve accuracy by performing relationship learning processing between each data. The algorithm for building such a learning model may be implemented by applying various known learning model building algorithms in combination, such as a Convolutional Neural Network (CNN), a Hidden Markov Model (HMM), a regression analysis model, and a decision tree model.

[0068] Through this learning process, it becomes possible to reflect and process more complex information, such as analyzing the user's emotional state, evaluating mental health tests, and providing mental health guidance information.

[0070] FIG. 3 is a flowchart illustrating the operation method of a service providing device according to an embodiment of the present invention.

[0071] Referring to FIG. 3, first, a mental health guide service providing device (100) constructs a mental health counseling guide learning model configured to output mental health guide information corresponding to a counseling text input using mental text-based psychiatric specialist counseling history learning data (S1001).

[0072] Afterwards, the mental health guide service providing device (100) extracts first counseling target text information from text data received from a user terminal (S1003).

[0073] And, the mental health guide service providing device (100) inputs the first counseling target text information into the mental health counseling guide learning model to obtain the first mental health guide information (S1005).

[0074] Afterwards, the mental health guide service providing device (100) configures mental health guide service data using the first mental health guide information and provides it to the user terminal or a specialist terminal corresponding to the user terminal (S1007).

[0076] FIGS. 4 to 7 are exemplary diagrams of a specialized terminal and a user terminal interface screen configured according to an embodiment of the present invention.

[0077] FIG. 4 illustrates a consultation input interface of a specialist terminal (300) according to an embodiment of the present invention. In the specialist terminal (300), mental health self-test result information corresponding to the received mental text and user identification information can be output, and correspondingly, first mental health guide texts for each of the plurality of models obtained from the learning model can be output. Here, the specialist terminal (300) can select the most appropriate text, and the service provider (150) can generate the first mental health guide information using the specific mental health guide text selected by the specialist terminal (300) among the plurality of first mental health guide texts. By providing such an interface, the input procedure of the specialist, who is the user of the specialist terminal (300), is simplified, thereby having the effect of reducing costs and time associated with service provision.

[0078] Additionally, as illustrated in FIG. 4, the specialist terminal (300) can select each mental health guide text as an answer, perform editing based on modifications, select whether to provide a severe alert, or check related emotional state classification information to provide more professional counseling guidance. As previously mentioned, the emotional state classification information may include identification information for depressive disorder, identification information for anxiety disorder, identification information for reduced concentration, identification information for sleep disorder, identification information for burnout, etc., and an identification value (e.g., a numerical value corresponding to 0 to 5) for classifying each identification information as normal, mild, moderate, severe, etc. may be assigned and output from the specialist terminal (300).

[0079] Meanwhile, FIGS. 5 to 7 illustrate mental counseling guide service information output from a user terminal (200) according to an embodiment of the present invention. First, FIG. 5 illustrates a menu screen for each service function. As shown in FIG. 5, depending on the installation of the application, the user can receive services such as writing (inputting text of the mind), checking the mind (self-test), understanding the mind (graph monitoring), and non-face-to-face counseling (connecting to a specialist) from a mental health guide service providing device (100).

[0080] And, as illustrated in FIG. 6(A), the user terminal (200) can input a text for a scheduled consultation, the text may be in a question format or a free format, and a text writing tool may be output from the user terminal (200).

[0081] Additionally, as illustrated in FIG. 6(B), the user terminal (200) can output a counseling history interface in which service data including the aforementioned first mental health guide text is inserted as an expert answer history item in correspondence with the first counseling target text information of the history created for counseling.

[0082] Meanwhile, FIG. 7(A) illustrates a mental content recommendation interface, and FIG. 7(B) illustrates an expert counseling connection interface. As illustrated in FIG. 7, the mental health guide service data according to the embodiment of the present invention described above may include not only mental health guide text but also mental content recommendation service information configured based on the aforementioned related emotional state classification information, and may also include expert profile recommendation information for connecting face-to-face or non-face-to-face counseling with an expert.

[0083] Accordingly, the user of the user terminal (200) can quickly and accurately check the appropriate specialist consultation history corresponding to the mental text entered by the user using a mental health counseling guide learning model, and can receive related content recommendation or counseling connection services.

[0085] Meanwhile, the method according to the various embodiments of the present invention described above may be implemented in the form of installation data to be executed on a terminal device and provided to each server or device in a state stored on various non-transitory computer-readable media. Accordingly, a user terminal (100) may connect to a server or device and download the installation data.

[0086] A non-transient readable medium refers to a medium that stores data semi-permanently and can be read by a device, rather than a medium that stores data for a short period of time, such as a register, cache, or memory. Specifically, the various applications or programs described above may be stored and provided on non-transient readable media such as CDs, DVDs, hard disks, Blu-ray discs, USBs, memory cards, and ROMs.

[0087] Furthermore, although preferred embodiments of the present invention have been illustrated and described above, the present invention is not limited to the specific embodiments described above. Various modifications are possible by those skilled in the art without departing from the essence of the invention as claimed in the claims, and such modifications should not be understood individually from the technical spirit or perspective of the present invention.

Claims

Claim 1 A method of operation of a service providing device comprises: a step of constructing a mental health counseling guide learning model configured to output mental health guide information corresponding to a counseling text input using mind text-based psychiatric specialist counseling history learning data; a step of receiving text data corresponding to a mind diary or psychological counseling from a user terminal and extracting first counseling target text information from said text data; a step of obtaining counselor information corresponding to said first counseling target text information and inputting said first counseling target text information and said counselor information into said mental health counseling guide learning model to obtain first mental health guide information; The method includes the step of configuring mental health guide service data using the first mental health guide information and providing it to the user terminal or a specialist terminal corresponding to the user terminal; the psychiatric specialist counseling history learning data is configured according to the collection of user information including mind text input information, self-psychological test result information processed through screening, counseling history information, mental health-related hospital prescription information, and lifelog data information collected in correspondence with user identification information; the mental health counseling guide learning model is composed of a plurality of models according to each learning data and learning algorithm; the step of acquiring the first mental health guide information comprises the step of acquiring a plurality of first mental health guide texts output from the plurality of models by inputting the first counseling target text information and the counselor information into the plurality of models; the step of providing the plurality of first mental health guide texts to the specialist terminal; and the step of determining a specific mental health guide text among the plurality of first mental health guide texts based on selection information received from the specialist terminal.A method of operation of a service providing device comprising the step of, when a polishing input corresponding to the specific mental health guide text is received from the specialized terminal, modifying and converting the specific mental health guide text according to the polishing input to generate the first mental health guide information. Claim 2 delete Claim 3 delete Claim 4 A method of operation of a service providing device, wherein, in claim 1, the first mental health guide information includes depression-related information, and the depression-related information includes depression classification identification information indicating any one of mania, normal, depression, mild depression, moderate depression, and severe depression determined in correspondence with the first counseling target text information. Claim 5 In paragraph 4, the above-mentioned first mental health guide information is a method of operation of a service providing device including depression notification message information provided when the above-mentioned depression classification identification information is moderate depression or severe depression. Claim 6 In paragraph 4, the above-mentioned first mental health guide information is a method of operation of a service providing device comprising a mental test evaluation graph provided in units of a certain period when the above-mentioned depression classification identification information is manic, normal, depressive, or in the case of depression. Claim 7 A method of operation of a service providing device, wherein, in claim 1, the first mental health guide information includes information related to anxiety disorders, and the information related to anxiety disorders includes anxiety disorder classification identification information indicating any one of normal, anxiety, mild anxiety disorder, moderate anxiety disorder, or severe anxiety disorder, determined in correspondence with the first counseling target text information. Claim 8 A method of operation of a service providing device, wherein, in claim 1, the first mental health guide information includes information related to reduced concentration, and the information related to reduced concentration includes information identifying a classification of reduced concentration that indicates one of normal, mild reduced concentration, moderate reduced concentration, or severe reduced concentration, determined in correspondence with the first counseling target text information. Claim 9 A method of operation of a service providing device according to claim 1, wherein the first mental health guide information includes sleep disorder-related information, and the sleep disorder-related information includes sleep disorder classification identification information indicating any one of normal, mild sleep disorder, moderate sleep disorder, or severe sleep disorder determined in correspondence with the first counseling target text information. Claim 10 A method of operation of a service providing device according to claim 1, wherein the first mental health guide information includes burnout-related information, and the burnout-related information includes burnout classification identification information indicating one of normal, daily guidelines, or burnout determined in correspondence with the first counseling target text information. Claim 11 A mental health counseling guide learning model component that constructs a mental health counseling guide learning model configured to output mental health guide information corresponding to counseling text input using mind text-based psychiatric specialist counseling history learning data;The system includes a service providing unit that receives text data corresponding to a mind diary or psychological counseling from a user terminal, extracts first counseling target text information from the text data, obtains counselor information corresponding to the first counseling target text information, inputs the first counseling target text information and the counselor information into the mental health counseling guide learning model to obtain first mental health guide information, configures mental health guide service data using the first mental health guide information, and provides it to the user terminal or a specialist terminal corresponding to the user terminal; the psychiatric specialist counseling history learning data is configured according to the collection of user information including mind text input information, self-mental test result information processed through screening, counseling history information, mental health-related hospital prescription information, and lifelog data information collected in correspondence with user identification information; the mental health counseling guide learning model is composed of multiple models according to each learning data and learning algorithm; the service providing unit inputs the first counseling target text information and the counselor information into the multiple models to obtain multiple first mental health guide texts output from the multiple models, and the multiple first mental health A service providing device configured to provide guide text to a specialist terminal, determine a specific mental health guide text among a plurality of first mental health guide texts based on selection information received from the specialist terminal, and, when a rewriting input corresponding to the specific mental health guide text is received from the specialist terminal, modify and transform the specific mental health guide text according to the rewriting input to generate the first mental health guide information. Claim 12 delete Claim 13 delete Claim 14 A service providing device according to claim 11, wherein the first mental health guide information includes depression-related information, and the depression-related information includes depression classification identification information indicating any one of mania, normal, depression, mild depression, moderate depression, and severe depression determined in correspondence with the first counseling target text information. Claim 15 In claim 14, the above-mentioned first mental health guide information is a service providing device comprising depression notification message information provided when the above-mentioned depression classification identification information is moderate depression or severe depression. Claim 16 In paragraph 14, the above-mentioned first mental health guide information is a service providing device comprising a mental test evaluation graph provided in units of a certain period when the above-mentioned depression classification identification information is manic, normal, depressive, or in the case of depression. Claim 17 A service providing device according to claim 11, wherein the first mental health guide information includes information related to anxiety disorders, and the information related to anxiety disorders includes anxiety disorder classification identification information indicating any one of normal, anxiety, mild anxiety disorder, moderate anxiety disorder, or severe anxiety disorder, which is determined in correspondence with the first text information subject to counseling. Claim 18 A service providing device according to claim 11, wherein the first mental health guide information includes information related to reduced concentration, and the information related to reduced concentration includes information identifying a classification of reduced concentration that indicates any one of normal, mild reduced concentration, moderate reduced concentration, or severe reduced concentration, determined in correspondence with the first text information subject to counseling. Claim 19 A service providing device according to claim 11, wherein the first mental health guide information includes sleep disorder-related information, and the sleep disorder-related information includes sleep disorder classification identification information indicating any one of normal, mild sleep disorder, moderate sleep disorder, or severe sleep disorder determined in correspondence with the first counseling target text information. Claim 20 A service providing device according to claim 11, wherein the first mental health guide information includes burnout-related information, and the burnout-related information includes burnout classification identification information indicating any one of normal, daily guidelines, or burnout, determined in correspondence with the first counseling target text information.

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