KR101864614B1 - Apparatus for atopy automatic care and method by using the same - Google Patents

Abstract

The present invention relates to an automatic care apparatus for atopy and a method thereof, capable of providing a care program related to various treatments, diet, and use of a product for reducing or removing the atopy, including doctor′s prescriptions, folk remedies, baby food, lunch boxes, cleansers, bath agents, gloves, moisturizing cream, humidifiers, or a combination thereof, to patients with atopic diseases according to the symptoms of the patients through machine learning. Accordingly, the present invention can prevent the atopy or effectively treat the atopic diseases.

Description

[0001] APPARATUS FOR ATOPY AUTOMATIC CARE AND METHOD BY USING THE SAME [0002]

The present invention relates to atopy auto care, and it is an object of the present invention to provide a method and a device for atopic dermatitis to patients suffering from atopic dermatitis, in accordance with their own symptoms, including a doctor's prescription, folk remedy, baby meal, lunchbox, cleanser, bath agent, moisturizing cream, glove, The present invention relates to an atopy auto care apparatus and method for providing a care program related to use of various therapies, diets, and supplies for atopic relief or elimination through machine learning.

In general, atopic dermatitis is a chronic, recurrent inflammatory skin disease that starts in infancy or childhood, accompanied by pruritus (itching), dry skin, and characteristic eczema.

In infancy, it begins with eczema on the unfolded side of the face and limbs, but it appears as a form of eczema on the part where the arm is bent and on the bending part behind the knee in growth, and in many cases it tends to improve naturally . In adults, lichenification appears in which the skin folds up, and eczema is more common on the face than in childhood.

Atopic dermatitis is an increasing worldwide trend, with a prevalence of 20% of the population.

Accordingly, in order to alleviate or eliminate the symptoms of atopy, a number of care methods related to various therapies, diets, and supplies are being developed.

However, since conventional atopic care methods are not so diverse and systematic, it is not easy for atopic patients to find a suitable care method for their symptoms, so various methods have to be applied, and accordingly, it takes a lot of time and cost to treat atopic And the symptoms of atopic symptoms did not improve in some cases.

Therefore, in the present invention, the big data including the atopy cause, progress, medical information, treatment process, use goods, or a combination thereof are collected and analyzed in a time-series manner, a prediction model is generated based on the analysis result, The present invention proposes a method of automatically providing a care program necessary for the user according to the atopic progress state by inputting a condition for atopic symptoms of a specific user to the model to predict the future atopic progress state of the user do.

Next, a brief description will be given of the prior arts that exist in the technical field of the present invention, and technical matters which the present invention intends to differentiate from the prior arts will be described.

Korean Patent Laid-Open Publication No. 2003-0070867 (Sep. 23, 2003) is directed to an atopic dermatitis evaluation system, and more particularly, to a system for evaluating atopic dermatitis, comprising: a client for delivering a patient's request and displaying a result according to the request; A server for receiving and processing the request of the client; A database for storing photographs of questions and symptoms for evaluation of atopic dermatitis; A query response module for searching the database according to a request of the client, presenting a question, and receiving an answer from the client; And a result output module for analyzing the answer inputted through the client in the question and answer module to evaluate the state of the patient and deliver the result to the client side. ≪ / RTI >

The prior art has an advantage in that the patient can easily grasp his or her atopic dermatitis state, and since the patient can accurately grasp his / her condition, he can take measures quickly and can prevent the deterioration of symptoms. There is some similarity with the configuration in which the atopic patient of the present invention is provided with a care program according to his / her condition in that the atopic patient can accurately grasp his / her condition.

However, the present invention accurately recognizes the current situation based on time-series changes including the atopy cause, progress, medical information, treatment process, supplies, etc. of the atopic patients and performs prediction of the future atopic progress based on the recognition , And a technical structure for providing a care program necessary for the user according to the atopic progress state is presented. Therefore, when compared with the technical configuration in which the atopic patient correctly grasps his or her condition based on the question and answer of the prior art, This is obvious.

In addition, Korean Patent Publication No. 2007-0111112 (Nov. 21, 2007) receives health data (meridian & obesity, skin, scalp & hair, medical data, etc.) measured at a remote site to diagnose the user's current health condition, And a remote health care service method using a prescribable network.

The above-mentioned prior art can receive the management service prescribed from the franchise management office by receiving the proper management prescription from the expert diagnosis team based on the constitution, health condition, symptom, and measurement data of the person, and using the proper prescription clinic product, The present invention provides a care program according to the state of the present invention in that the atopic patient according to the present invention provides a care program in accordance with his or her condition in that the clinic can be managed on the basis of his / There is some similarity with the receiving configuration.

However, the present invention suggests a technical configuration in which a user provides a care program related to the use of various therapies, diets, and supplies for atopic relief or elimination according to his or her symptoms through machine learning. Therefore, The difference in technical composition is clear compared to the technology composition that receives the appropriate management prescription based on the constitution or health condition of the person.

Korean Patent Publication No. 2006-0002168 (2006.01.09.) Is an agricultural product, an agricultural product, a livestock product, a forest product, a marine product, a low pesticide agricultural product, a pesticide product, Friendly agricultural products that are based on organic agricultural products, organic agricultural products, organic agricultural products, agricultural products, agricultural products, agricultural products, agricultural products, agricultural products, agricultural products, agricultural products, Is a cyber organic business model that implements cyber market development / management simulation to provide users with agricultural product vouchers or eco-friendly vouchers.

The above-mentioned prior art provides an effect that users can naturally learn how to prevent and treat a disease by interacting with nature in an eco-friendly agricultural and marine products through an online community.

However, it is possible to recognize the atopic progress of the atopic patients based on the time series change including the atopic cause, the progress, the medical information, the treatment process, the supplies, and the like, The technical constitution of the present invention for providing a necessary care program is a characteristic constitution of the present invention which is not mentioned in the prior art at all.

That is, each of the above-mentioned prior arts is a configuration in which an atopic patient can accurately grasp his or her condition, a configuration that receives an appropriate management prescription based on a constitution or a health state of a user, There is a technical difference from the configuration of the present invention in which the user is provided with various programs for relieving or eliminating atopic symptoms according to his / her symptoms, a diet program, and a care program related to the use of the appliance through machine learning.

It is an object of the present invention to provide an atopy auto care device and a method thereof, which are created to solve the above-mentioned problems, and provide a care program for atopic diseases to effectively cope with atopic diseases.

In addition, the present invention analyzes a big data about an existing atopy and suggests a care program including the most appropriate treatment for each atopic patient, so that a corresponding atopic patient trusts and carries out a care program (doctor prescription, folk therapy, etc.) Another object of the present invention is to provide an atopic auto care apparatus and method for supporting the atopic auto-care apparatus.

In addition, the present invention relates to a method and apparatus for analyzing a plurality of atopy causes and progresses in a time-series manner, generating a prediction model based on an analysis result, inputting conditions of the atopy patient to the prediction model, It is another object of the present invention to provide an atopy auto care apparatus and a method for automatically presenting a program.

In addition, the present invention can be applied to the generation and prediction of the predictive model by applying mechanical learning to the case of similar cases in a time-series manner, and then generating a specific prediction model within the cluster to search for similar cases Another object of the present invention is to provide an auto care device and a method thereof.

An atopy auto-care apparatus according to an embodiment of the present invention includes an atopy information obtaining unit for obtaining atopy information of atopic patients; A predictor for analyzing the acquired atopic information in a time series, generating a predictive model based on the analysis result, and inputting a condition for atopic symptom of a specific user to the predictive model to predict future atopic progress of the user; And a care program processor for generating a care program necessary for the user based on the predicted atopic progress and providing the care program to the user terminal.

The atopic information is information including an atopic cause, progress, medical information, a treatment process, a use item, or a combination thereof, and the care program includes at least one of a doctor's prescription, a folk remedy, a baby food, a lunchbox, a cleanser, , A humidity regulator, or a combination thereof, which is related to the use of a remedy, diet, and article for atopic relief or elimination.

And the care program processing unit updates the care program according to the atopic progress state based on the result information when the result information on the use of the care program is transmitted from the user terminal using the care program.

The predicting unit may be a clustering unit that clusters characteristics of atopic information of atopic patients including atopic cause, progress, medical information, treatment process, use goods, or a combination thereof obtained from the atopic information providing terminal according to a time series change part; A prediction model learning unit for learning a time series change of the clustered atopic information to generate a prediction model; And an atopic symptom predicting unit for predicting a future atopic development progress of the user by applying a condition of a current atopic symptom of the user to the predictive model.

In another aspect of the present invention, there is provided an atopy auto-care method comprising: acquiring atopy information of an atopy patient in an atopy auto care server; The atopy auto-care server analyzes the acquired atopy information in a time-series manner, generates a prediction model based on the analysis result, inputs a condition of atopy symptom of a specific user to the prediction model, A prediction step of predicting the situation; And a care program processing step of, in the atopy auto care server, generating a care program necessary for the user based on the predicted atopy progress state and providing the care program to the user terminal.

The atopic information is information including an atopic cause, progress, medical information, a treatment process, a use item, or a combination thereof, and the care program includes at least one of a doctor's prescription, a folk remedy, a baby food, a lunchbox, a cleanser, , A humidity regulator, or a combination thereof, which is related to the use of a remedy, diet, and article for atopic relief or elimination.

And the care program processing step further includes updating the care program according to the atopic progress state based on the result information when the result information on use of the care program is transmitted from the user terminal using the care program .

The prediction step may include clustering the characteristics of the atopic information of the atopic patients including the atopic cause, the progress, the medical information, the treatment process, the usable goods, or a combination thereof obtained from the atopic information providing terminal according to a time series change Clustering step; A prediction model learning step of learning a time-series change of the clustered atopic information to generate a prediction model; And estimating the atopic progression state of the user by applying a condition of the current atopic symptom of the user to the predictive model.

As described above, according to the atopic auto care apparatus and method of the present invention, it is possible to analyze big data about atopic symptoms by machine learning, generate a prediction model for each similar case, By predicting whether a symptom will occur and providing a care program according to the result, it is possible to prevent atopy in advance and to help effectively treat atopic disease.

In addition, patients suffering from atopic diseases can be classified into various treatment methods, diet, and treatment for atopic dermatitis, including atopic dermatitis, folk remedies, gloves, baby foods, lunch boxes, By receiving a care program related to use of the product, it is possible to easily manage the atopic disease.

FIG. 1 is a conceptual diagram illustrating an atopy auto-care process to which the present invention is applied.
FIG. 2 is a view schematically showing a configuration of an atopy auto-care apparatus according to an embodiment of the present invention.
FIG. 3 is a detailed view of the configuration of the atopy auto-care server of FIG. 2. FIG.
4 is a flowchart illustrating an operation procedure of the atopy auto-care method using the communication terminal according to an embodiment of the present invention in detail.

Hereinafter, preferred embodiments of the atopy auto-care apparatus and method of the present invention will be described in detail with reference to the accompanying drawings. Like reference symbols in the drawings denote like elements. Furthermore, specific structural and functional descriptions for embodiments of the present invention are presented for the purpose of describing an embodiment of the present invention only, and, unless otherwise defined, all terms used herein, including technical or scientific terms Have the same meaning as commonly understood by those of ordinary skill in the art to which the present invention belongs. Terms such as those defined in commonly used dictionaries are to be interpreted as having a meaning consistent with the contextual meaning of the related art and are to be interpreted as ideal or overly formal in the sense of the art unless explicitly defined herein .

FIG. 1 is a conceptual diagram for explaining the atopy auto care process to which the present invention is applied in more detail.

As shown in FIG. 1, the atopy auto-care apparatus of the present invention can be used not only for various medical information including age, sex, race, blood type, etc. of patients suffering from atopic disease, Collects the big data related to the articles such as the gloves, the bath agent, the cleanser, the humidity controller, etc., analyzes the time-series change of each characteristic in the collected big data, extracts the pattern of atopic progress, And generates a prediction model. In other words, the characteristics of the atopic progression of atopic patients are clustered according to the time series change, and then the clustered pattern is learned to generate the prediction model.

The predictive model is used to predict future atopic progress according to a condition (e.g., medical information, atopic treatment information, etc.) of a current atopic symptom provided by a specific user, And generates a care program for the user, and presents the generated care program to the user to perform management of the atopy.

In this case, the care program is information including a treatment method related to various doctor prescriptions or folk remedies, a diet related to foods such as baby food or lunch, a cleaning agent, a bath agent, a moisturizing cream, a glove, a humidity controller, .

The process for using the atopy auto care service will be described in detail as follows.

First, in order to generate a predictive model by learning the time-series pattern change of the big data related to the atopic information of the atopic patients, the atopic auto care server 400 acquires medical information of the atopic patients from the atopic information providing terminal 200, Atopy information such as cause, progress, treatment process, and supplies are collected. That is, all the information related to atopy is provided from the information provider including the hospital, the atopy patient, and the atopy related goods store.

At this time, since the atopic information of the atopic patients is information that changes in a time-wise manner, the atopic auto care server 400 tracks and manages each atopic patient and records them in the database.

The atopy auto care server 400, which has collected the big data for the various atopy information of the atopic patients from the plurality of the atopic information providing terminals 200, can be classified according to each characteristic of the atopic patients (i.e., medical information, atopy cause, Treatment process, use goods, etc.) Based on the time series change, we perform clustering according to patterns of atopy progress. That is, grouping and converting the atopic progress status for each characteristic that changes in a time series.

Thereafter, the atopy auto-care server 400 generates a prediction model by mechanically learning the clustered pattern.

When the atopy auto care service is requested from the specific user terminal 300 suffering from atopy, the atopy auto care server 400 requests the corresponding user terminal 300 to input information to the current atopy state of the user, Various information on the current atopic symptom of the user inputted from the user terminal 300 is applied to the predictive model to predict future atopic progress of the user.

In addition, the atopy auto care server 400 applies a current atopy condition of a specific user to the prediction model, and if a future atopy progress state is predicted, the atopy auto care server 400 refers to a care program stored in the database, Generates a care program including appropriate doctor prescriptions or therapies for folk remedies, a diet related to foods, methods of using articles and supplies, and transmits the generated care programs to the user terminal 300.

The user who receives the care program from the atopy auto care server 400 performs the treatment and management of the atopy according to the care program.

Meanwhile, when the result information on the use of the care program is transmitted from the user terminal 300 using the care program provided on the basis of the atopic progress state prediction information of the user, the atopy auto care server 400 transmits the result information Based on the update of the care program according to the progress of atopy.

In addition, the atopy auto care server 400 generates statistics information by analyzing utilization information of care programs according to atopic progress status of each user, and provides statistical information to each information provider and user registered as members .

Also, the atopy auto care server 400 can publicize the atopy auto care service to the general users by disclosing usage and statistical information related to the care program on-line.

FIG. 2 is a view schematically showing a configuration of an atopy auto-care apparatus according to an embodiment of the present invention, and FIG. 3 is a detailed view of the configuration of the atopy auto-care server of FIG.

2, the atopy auto-care apparatus of the present invention includes a network 100, a plurality of atopy information providing terminals 200, a plurality of user terminals 300, an atopy auto care server 400, a database 500 ) And the like.

The network 100 is a variety of currently known communication networks including wired / wireless Internet, bluetooth, beacon, Radio Frequency Identification (RFID), Zigbee, WiFi, The information providing terminal 200, the plurality of user terminals 300, and the atopy auto care server 400 are connected to each other, and information related to a change in the time series pattern of the atopy information with each other, Information related to the care program according to the care program, and result information according to the care program execution.

The atopic information providing terminal 200 is a communication device such as a smart phone, a tablet PC, and a notebook PC used by an information provider such as a hospital manager, an atopic patient, or an atopic-related product store manager. , The process progress, the treatment process, and the articles to be used are transmitted to the atopy auto care server 400 through the network 100.

At this time, the information related to the atopy of the atopic patients is time-varying information, and is provided to the atopic auto care server 400 whenever the data is changed in the respective at-all information providing terminals 200 or periodically.

The user terminal 300 is a communication device such as a smart phone, a tablet PC, or a notebook PC used by a patient or a caregiver who is directly suffering from atopic diseases. The user terminal 300 has a communication connection with the atopy auto care server 400 And requests a care program for atopy treatment and management to the atopy auto care server 400 through the network 100.

In addition, the user terminal 300 transmits the data related to the present atopic symptom inputted by the user to the atopy auto care server 400, applies current atopic symptoms to a predetermined prediction model, A care program including at least an appropriate treatment method, diet, used articles, and a method of using the product is received from the atopy auto-care server 400 for predicting the condition to perform atopy treatment and management.

Also, the user terminal 300 may transmit changed information such as atopic symptoms and treatment effects, which are result information based on the care program received from the atopy auto care server 400, to the atopy auto care server 400, To be updated.

The atopy auto care server 400 receives information on various medical information including the age, sex, race, blood type, etc. of the atopic patients from the plurality of the atopic information providing terminals 200, information on the cause of the atopic, progress, Information on used articles such as a bathing agent, a cleanser, a humidity controller, and the like, analyzes the time series changes in each characteristic in the big data collected from the plurality of atopic information providing terminals 200, After the patterns are clustered, the predicted model is generated by learning the clustered patterns.

In addition, the atopy auto care server 400 receives a care program request (for example, medical information, atopy treatment information, and the like) related to a current atopic symptom of a specific user from the user terminal 300 through the network 100 When the information is transmitted, information on the current atopic symptom varying in a time series of a specific user provided from the user terminal 300 is applied to the prediction model to predict future atopic progress of the user.

In addition, the atopy auto care server 400 generates a care program suitable for the user based on the predicted atopy progress state when a future atopy progress of a specific user requiring atopy management and treatment is predicted, And transmits it to the user terminal 300 through the network 100 to proceed with atopy management and treatment. At this time, the care program may include information such as a therapy for doctor's prescription or folk medicine, a diet related to food such as baby food or lunch, a cleaning agent, a bath agent, a moisturizing cream, a glove, .

In addition, the atopy auto care server 400 receives the care result information from the user terminal 300 that performs atopy management and treatment according to the care program, analyzes the care result information, and analyzes the care result information in a conventional care program, And how to use the product.

The database 500 includes member information of a user who uses a care program related to atopic management and treatment and an information provider for collecting big data, big data of atopic patients that are collected from a plurality of information providers, time-varying big data, A predictive model generated by analysis and machine learning, prediction information of future atopic progress for each user using a predictive model, a care program generated according to predicted atopic progress, a care program according to a result of execution of a care program performed by the user And stores and manages various programs and data related to updating.

3, the atopy auto care server 400 includes a communication unit 410, a data management unit 420, an atopy information acquisition unit 430, a prediction unit 440, a care program processing unit 450, A control unit 460, and the like.

The communication unit 410 continuously communicates various information related to the atopic information of the atopic information providing terminal 200 and the atopic patients communicated and connected through the network 100 with respect to the medical information, atopic cause, progress, treatment process, And outputs it to the control unit 460.

In addition, the communication unit 410 may include information related to the current atopic symptoms of the user terminal 300, which is communicatively connected through the network 100, Reception of the care program, transmission of a care program generated based on the future atopic progress of the user, and reception of result information according to the execution of the care program.

The data management unit 420 stores and manages the database 500 of the user using the care program related to atopy management and treatment and the member information (for example, ID, password, personal information, etc.) of the information provider for collecting big data The atopic progress information of each user using the atopic information and the predictive model which are changed by the atopic patients by the atopic patients and all the atopic information providers and users registered as members, And an atopy information management unit 424 for generating an optimum care program according to the progress of the atopy, transmitting the care program to the user terminal 300, analyzing the execution result of the care program, and storing and managing the database 500.

The atopic information obtaining unit 430 may obtain the atopic information including the medical information of the atopic patients inputted from the atopic information providing terminal 200 through the communication unit 410, the cause of the atopy, the progress, the treatment process, And stores the collected information in the database 500 through the data management unit 420. [

The predicting unit 440 analyzes the atopic information of the atopic patients acquired from the atopic information providing terminal 200 through the atopic information obtaining unit 430 in a time-series manner, generates a prediction model based on the analysis result, A condition for atopic symptoms of a specific user is input to the model to predict the future atopic progress of the user.

The prediction unit 440 includes a clustering unit 442, a predictive model learning unit 444, an atopic symptom prediction unit 446, and the like.

The clustering unit 442 may change characteristics of the atopic information of the atopic patients including atopic cause, progress, medical information, treatment process, use goods, or a combination thereof, obtained from the atopic information providing terminal 200, And outputs the clustering result to the control unit 460 so that the prediction model learning unit 444 can generate a prediction model.

The predictive model learning unit 444 generates a predictive model by learning the time series change of the clustered atopic information in the clustering unit 442 and outputs the generated predictive model to the control unit 460, To be stored in the database 500. That is, the clustering unit 442 generates a prediction model for predicting the atopic progress according to the pattern of the atopic information which is changed in time by the clustering atopic patients.

The prediction model learning unit 444 may update the prediction model by reflecting the changed information when the big data for the atopic information of the atopic patients acquired through the atopic information acquisition unit 430 is changed.

The atopic symptom predicting unit 446 applies the condition of the current atopic symptom of the user provided from the user terminal 300 to the predictive model generated by the predictive model learning unit 444 so that the atopic progression Predicts the situation and outputs the predicted future atopy progress status to the control unit 460 so that the care program processing unit 450 can generate a care program suitable for the atopic progress status of the user. That is, a time-series pattern of the atopic symptom of the specific user provided from the user terminal 300 is applied to the predictive model generated by the predictive model learning unit 444 to predict the future atopic progress of the user.

The care program processing unit 450 generates a care program necessary for the user based on the atopy progress state predicted by the prediction unit 440 and transmits the care program to the corresponding user terminal 300 through the network 100 . The care program is information related to the use of therapies, diets, and supplies for atopic relief or elimination including a doctor's prescription, a folk remedy, a baby food, a lunchbox, a cleanser, a bath agent, a moisturizing cream, a glove, a humidity controller or a combination thereof.

When the result information on the use of the care program is transmitted from the user terminal 300 using the care program, the care program processing unit 450 updates the care program according to the atopic progress state based on the result information , And stores the result in the database 500.

The control unit 460 controls the various functions performed by the atopy auto care server 400. The control unit 460 controls the atopy information providing terminal 200 and the user terminal 300 in the communication unit 410, Transmission and reception of data related to the atopic information of the atopic information and the care program, and storage and management of the database 500 of the atopic information and the member information at the data management unit 420.

In addition, the controller 460 may acquire the big data related to atopy management and treatment of the atopic patients from the information provider in the atopic information acquiring unit 430, Clustering according to a time series pattern, generation of a predictive model through learning of a clustered time series thermal pattern, prediction of a future atopy progress of a user by using a prediction model, and a care program based on the future progress of atopy in the care program processor 450 Lt; / RTI >

In addition, the control unit 460 controls the reception of the care program use result in the care program processing unit 450, the care program update based on the use result, and the generation and provision of various statistical information on the use of the care program by the user do.

Next, an embodiment of the atopy auto-care method according to the present invention constructed as above will be described in detail with reference to FIG. At this time, each step according to the method of the present invention may be changed in the use environment or the order by a person skilled in the art.

FIG. 4 is a flowchart illustrating an operation procedure of the atopy auto-care method according to an embodiment of the present invention in detail.

First, atopy auto-care server 400 performs subscription to atopic information providing terminal 200 and user terminal 300 that perform communication connection through network 100 (S10) The application is downloaded and installed in the information providing terminal 200 and the user terminal 300 (S20). At this time, the atopy information provider and the user may download and install the application in advance without performing membership in the training server 400, and may register membership in the process of using the application.

After performing the subscription, application downloading and installation of the atopic information providing terminal 200 and the user terminal 300 through the above-described steps S10 and S20, the plurality of atopic information providing terminals 200, (At step S30) the information including the progress, the medical information, the treatment process, the usable goods, or a combination thereof to the atopy auto care server 400. [ At this time, the information is provided to the atopy auto care server 400 whenever a part of the information is changed or new information is added.

Then, the atopy auto care server 400 transmits the atopy information of the atopic patients provided from the atopic information providing terminal 200 through the step S30, including the atopy cause, progress, medical information, treatment process, The characteristics of the atopic information are clustered according to the time series change (S40), the predictive model is generated by learning the time series change of the clustered atopic information, and the predictive model is stored in the database 500 (S50). In this case, the prediction model may be periodically updated according to atopic information changes of the atopic patients provided from the plurality of atopic information providing terminals 200.

Now, when the user requests the care program for atopy management and treatment through application execution or the like, the user terminal 300 used by the patient and the caregiver performing the management and treatment of the atopy transmits the request signal to the atopy auto care And outputs it to the server 400 (S60).

In response to a request from the atopy auto care server 400, the user terminal 300 transmits to the atopy auto care server 400 time-varying information related to current atopic symptoms input by the user (S70 ).

In step S70, the atopy auto care server 400 applies the condition for the atopic symptom of the specific user received from the user terminal 300 to the prediction model generated in step S50, (S80), and generates a care program necessary for the user based on the predicted future atopic progress state (S90), and transmits the generated care program to the user terminal 300 through the network 100 (S100).

The care program provided to the user terminal 300 may include at least one of a treatment method for atopic dermophasis or removal including a doctor's prescription, a folk remedy, a baby food, a lunch box, a cleanser, a bath agent, a moisturizing cream, a glove, a humidity controller, It is information related to the use of therapy and supplies.

In step S110, the user terminal 300 manages and treats the atopy based on the care program received from the atopy auto care server 400 (S110). Then, the user terminal 300 transmits result information on the use of the care program To the atopy auto care server 400 (S120).

The atopy auto-care server 400 updates the care program according to the atopic progress state based on the result information on the use of the care program received from the user terminal 300 (S130).

As described above, the present invention analyzes a big data about atopic symptoms by machine learning, generates a prediction model for each similar case, predicts what kind of symptoms the specific patient will have in the future based on the generated prediction model, Therefore, it is possible to prevent atopy in advance and to help effectively treat atopic disease.

In addition, patients suffering from atopic diseases can easily manage atopic diseases because they are provided with various treatment methods for alleviating or eliminating atopic diseases based on their symptoms, diet programs and care programs related to use of the products.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, I will understand the point. Accordingly, the technical scope of the present invention should be determined by the following claims.

100: network 200: atopy information providing terminal
300: User terminal 400: Atopy auto care server
410: communication unit 420: data management unit
422: member information management unit 424: atopy information management unit
430: Atopic information acquisition unit 440:
442: clustering unit 444: prediction model learning unit
446: Atopic symptom predicting part 450: Care program processing part
460: control unit 500:

Claims (8)

Atopic information including atopic medical conditions, atopic cause, progress, treatment process, use goods, or a combination thereof is input from the atopic information terminal including the atopic patient, the hospital manager, and the goods store manager. An atopy information acquisition unit for storing information in a database;
The atopy information collected and stored from the atopic information providing terminal is analyzed in a time series manner, a prediction model is generated based on the analysis result, and conditions for atopic symptoms of a specific user are input to the prediction model, A prediction unit for predicting the progress; And
And a care program processing unit for generating a care program necessary for the user based on the predicted atopic progress state and providing the generated care program to the user terminal,
The care program includes:
Information related to the use of remedies, diets and supplies for atopic relief or removal, including physician prescriptions, folk remedies, baby food, lunch boxes, cleansers, bath salts, moisturizing creams, gloves,
The care program processing unit,
Wherein when the result information on use of the care program is transmitted from the user terminal using the care program, the care program is updated based on the result information. delete delete The method according to claim 1,
The predicting unit,
Clustering in which the characteristics of the atopic information of the atopic patients including the atopic cause, the progress, the medical information, the treatment process, the use goods, or a combination thereof collected from the atopic information providing terminal and clustering according to the time series change part;
A prediction model learning unit for learning a time series change of the clustered atopic information to generate a prediction model; And
And an atopic symptom predicting unit for predicting a future atopic progress state of the user by applying a condition of a current atopic symptom of the user to the predictive model. Atopi auto care server, atopic information including medical information, atopic cause, progress, treatment process, used article, or combination thereof of atopic patients input from atopic information terminal including atopy patient, hospital manager, An atopy information acquisition step of collecting the collected information and storing the collected information in a database;
The atopic auto care server analyzes the atopic information collected and stored from the atopic information providing terminal in a time-series manner, generates a predictive model based on the analysis result, and sets a condition for a specific user's atopic symptom A prediction step of predicting a future atopic progress state of the user by inputting the prediction; And
And a care program processing step of generating a care program necessary for the user based on the predicted atopy progress state and providing the generated care program to the user terminal in the atopy auto care server,
The care program includes:
Information related to the use of remedies, diets and supplies for atopic relief or removal, including physician prescriptions, folk remedies, baby food, lunch boxes, cleansers, bath salts, moisturizing creams, gloves,
Wherein the care program processing step comprises:
And updating the care program according to the atopic progress state based on the result information when result information on use of the care program is transmitted from the user terminal using the care program. Way. delete delete The method of claim 5,
Wherein,
Clustering in which the characteristics of the atopic information of the atopic patients including the atopic cause, the progress, the medical information, the treatment process, the use goods, or a combination thereof collected from the atopic information providing terminal and clustering according to the time series change step;
A prediction model learning step of learning a time-series change of the clustered atopic information to generate a prediction model; And
And estimating an atopic progress state of the user by applying a condition of a current atopic symptom of the user to the predictive model.

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