LED light therapy device control system using artificial intelligence, control method therefor, and recording medium

Abstract

The present invention relates to an LED light therapy device control system using artificial intelligence, a control method therefor, and a recording medium. The LED light therapy device control system using artificial intelligence, according to the present invention, comprises: an LED pad on which an LED module having a plurality of LED elements arranged in a predetermined pattern is mounted; an LED control module for controlling driving of the LED module; and a user terminal for providing a driving variable value of the LED module to the LED control module by interworking with the LED control module, wherein the user terminal includes: a memory having a data table in which clinical information is stored; a processor; and a user application stored in the memory and executed by the processor, the user application generates a UI for a survey and displays same on a display, calculates the driving variable value on the basis of information that is input through the UI and the data table, and provides the driving variable value to the LED control module, and the LED control module receives the driving variable value from the user terminal, and controls driving of the LED module on the basis of the received driving variable value. Therefore, a user can easily treat various diseases by using the light therapy control system to which AI technology is applied.

Description

LED phototherapy device control system using artificial intelligence, control method thereof, and recording medium

[0001] The present invention relates to a control system for an LED (Light Emitting Diode) phototherapy device using artificial intelligence (AI), a control method thereof, and a recording medium, and more specifically, to a control technology for an LED phototherapy device using artificial intelligence.

[0002] While clinical studies have shown that conventional LED light therapy devices can treat a wide range of conditions, in practice, their effectiveness is limited to a limited number of conditions. Conventional LED light therapy devices require users to enter a code provided by the manufacturer or select a desired mode for treatment.

[0003] In order to solve the problems described above, the present invention aims to provide an LED phototherapy device control system, a control method thereof, and a recording medium that can apply the research results of clinical papers on the effects of LED phototherapy to an LED phototherapy device using AI technology.

[0004] The above object can be achieved by an LED phototherapy control system using artificial intelligence, comprising: an LED pad equipped with an LED module in which a plurality of LED elements are arranged in a certain pattern; an LED control module for controlling the operation of the LED module; and a user terminal for providing the LED control module with a driving variable value of the LED module in conjunction with the LED control module; the user terminal including a memory having a data table storing clinical information, a processor, and a user application stored in the memory and executed by the processor, wherein the user application creates a UI (User Interface) for a questionnaire and displays it on the display, calculates the driving variable value based on information input through the UI and the data table, and provides the driving variable value to the LED control module, and the LED control module receives the driving variable value from the user terminal and controls the operation of the LED module based on the received driving variable value.

[0005] The clinical information of the above data table includes at least four first clinical items among disease, body part, symptom severity, age, gender, number of clinical subjects, and treatment effect; and at least four second clinical items among wavelength, frequency, peak power, duty ratio, operating time, and treatment interval of the LED module; and the clinical information can be extracted from a plurality of clinical paper data.

[0006] The UI includes items related to the user's age, gender, disease name, body part, and symptom severity, and the user application can identify a clinical case having data of a first clinical item matching the information entered through the UI in the data table, and calculate the driving variable value based on data of a second clinical item of the identified clinical case.

[0007] The user application can calculate the driving variable value by assigning a weight to the data of the second clinical item of clinical cases having the data of the first clinical item matching the information entered through the UI, based on at least one of the value of the number of clinical personnel and the value of the treatment effect.

[0008] Meanwhile, the above object can also be achieved by a control method for an LED phototherapy device using artificial intelligence, comprising: a step of collecting clinical paper data on LED phototherapy; a step of extracting data on at least four first clinical items among disease, body part, symptom degree, age, gender, number of clinical participants, and treatment effect from the collected clinical paper data, and at least four second clinical items among wavelength, frequency, peak power, duty cycle, operating time, and treatment interval of an LED module; a step of storing the extracted data on the first and second clinical items in a memory as a data table; a step of generating a first UI for a questionnaire and displaying it on a display; a step of calculating an operating variable value of an LED module based on information input through the first UI and the data table; and a step of providing the calculated operating variable value to the LED control module.

[0009] The first UI includes items related to age, gender, disease name, body part, and symptom severity, and the step of calculating the driving variable value may include identifying a clinical case having data of a first clinical item that matches the information entered through the first UI in the data table, and calculating the driving variable value by assigning a weight to data of a second clinical item of the identified clinical case according to at least one of the value of the number of clinical personnel and the value of the treatment effect.

[0010] The method may further include: generating a second UI regarding treatment satisfaction and displaying it on the display; storing data input through the second UI; and generating and displaying a graph showing changes over time in the data regarding the degree of symptoms and the data regarding satisfaction input through the first UI.

[0011] As described above, the artificial intelligence-based LED phototherapy control system, its control method, and recording medium according to the present invention enable users to easily treat various diseases at home using the phototherapy control system with AI technology applied.

[0012] Figure 1 is a schematic diagram for explaining an environment for providing an LED phototherapy device control service using artificial intelligence according to one embodiment of the present invention.

[0013] Figure 2 is a schematic diagram of an LED phototherapy device control system using artificial intelligence according to one embodiment of the present invention.

[0014] Figure 3 is a schematic diagram of a user terminal (300) according to one embodiment of the present invention.

[0015] Figure 4 is a flowchart of a method for controlling an LED phototherapy device (400) using artificial intelligence according to one embodiment of the present invention.

[0016] FIG. 5 is an example of a graph regarding symptoms and satisfaction displayed in a user application for controlling an LED phototherapy device using artificial intelligence according to one embodiment of the present invention.

[0017] Hereinafter, specific embodiments of the present invention will be described with reference to the drawings.

[0018] Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. However, detailed descriptions of well-known functions or components that may obscure the gist of the present invention will be omitted in the following description and the accompanying drawings. It should also be noted that, where possible, identical components are indicated with the same reference numerals throughout the drawings.

[0019] The terms and words used in this specification and claims described below should not be interpreted as limited to their conventional or dictionary meanings, but should be interpreted with meanings and concepts that conform to the technical idea of ​​the present invention based on the principle that the inventor can appropriately define the concept of the term to best describe his or her invention. Therefore, the embodiments described in this specification and the configurations illustrated in the drawings are merely the most preferred embodiments of the present invention and do not represent all of the technical idea of ​​the present invention. Therefore, it should be understood that there may be various equivalents and modified examples that can replace them at the time of filing this application.

[0020] FIG. 1 is a schematic diagram illustrating an environment for providing an LED phototherapy device control service using artificial intelligence according to one embodiment of the present invention. Referring to FIG. 1, the environment for providing an LED phototherapy device control service using artificial intelligence according to one embodiment of the present invention includes a server (100), a user terminal (300) that is connected to the server (100) via a network (200).

[0021] The server (100) is a server (100) that provides an LED phototherapy device control service using artificial intelligence according to one embodiment of the present invention, and can provide the LED phototherapy device control service by transmitting and receiving data with the Internet or a user terminal (300) on which an application is installed. The server (100) includes a memory (110) that stores data and a computer program code, and a processor (120) that executes the computer program code. The server (100) includes a database (130) in which clinical information and member information according to a disease are stored. The server (100) collects clinical paper data on phototherapy online, analyzes the data, extracts clinical information, and constructs a data table. The clinical information constructed as a data table includes at least four first clinical items among disease, body part, symptom level, age, gender, number of clinical participants, and treatment effect, and four or more second clinical items among wavelength, frequency, peak power, duty ratio, operating time, and treatment interval of an LED module. The first clinical item is patient-related information, and the second clinical information is information regarding LED module control values ​​related to treatment. Data collection and extraction from these clinical papers can be performed periodically or ad hoc using an AI (Artificial Intelligence) analysis module. Furthermore, at least a portion of the constructed data table can be transmitted to the user terminal (300) and updated periodically or ad hoc as needed.

[0022] The server (100) includes a control value calculation model for calculating control values ​​for an LED module according to a patient. The control value calculation model calculates control values ​​for the LED module according to a logic established based on clinical information constructed as a data table. At least a portion of the control value calculation model is transmitted to the user terminal (300) and can be updated periodically or periodically as needed.

[0023] Meanwhile, the server (100) can manage member information and treatment history, etc. through linkage with the user terminal (300) and provide customized treatment information to the patient.

[0024] The server (100) transmits and receives data with a user terminal (300) via a network (200) such as the Internet, and includes a communication module for network communication. In addition, the server may include an input / output device (160) for user input and output, for example, an input / output device (160) such as a microphone, a keyboard, a mouse, a display, and an input / output interface (140) for interfacing therewith. The communication interface (150) may include a communication module for one or more arbitrary networks, for example, a personal area network (PAN), a local area network (LAN), a campus area network (CAN), a metropolitan area network (MAN), a wide area network (WAN), a broadband network (BBN), and the Internet.

[0025] The user terminal (300) may include a mobile terminal such as a smartphone or tablet PC, a PC, etc., and may be installed with a user application for receiving services according to embodiments of the present invention. For example, the user terminal (300) may receive services provided by the server (100) by linking with the server (100) under the control of the application. The user applications installed on the user terminal (300) may be divided into smartphone apps and PC web applications.

[0026] Meanwhile, a file distribution server may be provided to distribute files for installing user applications. For example, the file distribution server may store and manage files, and provide the stored files to the user terminal (300) upon request of the user terminal (300). The user terminal (300) may install applications using the files provided by the file distribution server, and may receive services using the installed user applications. The file distribution server may be a server included in the server (100), but may also be a separate server linked to the server (100) as a third-party server.

[0027] FIG. 2 is a schematic diagram of an LED phototherapy device control system using artificial intelligence according to one embodiment of the present invention. Referring to FIG. 2, the LED phototherapy device control system using artificial intelligence according to one embodiment of the present invention includes a user terminal (300) and an LED phototherapy device (400).

[0028] The LED phototherapy device (400) includes an LED pad (410) and an LED control module (420). The LED pad (410) is configured in a form in which an LED module in which a plurality of LED elements are arranged in a certain pattern on a printed circuit board is mounted on the pad.

[0029] The LED control module (420) controls the operation of the LED module and includes a microcontroller such as an MCU. The LED control module (420) can be connected to the LED module via a wire or wireless connection. Meanwhile, the LED control module (420) can include a UI (User Interface) means such as a button or a touch panel display. The user can select a desired menu or mode using the button or touch panel provided on the LED control module (420) and receive light therapy using the LED pad (410).

[0030] The user terminal (300) is connected to the LED control module (420) to provide the LED module's driving variable values ​​to the LED control module (420), and a user application for providing control of the LED phototherapy device according to the present invention is installed. The user terminal (300) and the LED control module (420) can communicate with each other through a short-range communication module such as Bluetooth.

[0031] Fig. 3 is a schematic diagram of a user terminal (300) according to one embodiment of the present invention. Referring to Fig. 2, the user terminal (300) includes a memory (310) storing data and program codes and a processor (320) executing the memory and program codes.

[0032] The memory (310) is a recording medium readable by a computing device, and can store at least one computer program code and data executed by the processor (320). The computer program code can also be loaded into the memory (310) from a floppy drive, disk, tape, DVD / CD-ROM drive, memory card, etc. separate from the memory (310).

[0033] The processor (320) is intended to execute and process computer program instructions by performing basic logic, calculations, operations, etc., and the computer program code stored in the memory (310) is loaded into the processor (320) and executed. The processor (320) executes a user application stored in the memory (310) to perform a series of functions for controlling the LED phototherapy device.

[0034] The memory (310) includes a data table storing clinical information according to a disease. In one example, the data table is constructed on the server (100), and at least a portion of the data table may be provided to the user terminal (300). In another example, the data table regarding the aforementioned clinical information may be constructed on the user terminal (300). A series of processes, such as online clinical paper data collection and extraction, for constructing the data table may be performed by a user application. The user application includes an AI analysis module for processing a series of processes, such as clinical paper data collection and extraction. To avoid redundant description, a detailed description will be replaced with a description regarding the server (100) described above.

[0035] The memory (310) includes a control value calculation model for calculating the control value of the LED module according to the patient. The control value calculation model is provided by the server (100) and stored in the memory (310), and the processor (320) calculates the control value of the LED module according to a preset logic based on clinical information constructed as a data table using the control value calculation model. The control value calculation model stored in the user terminal (300) may be updated by the server (100) periodically or at any time as needed.

[0036] As illustrated in FIG. 1, a user terminal (300) according to one embodiment of the present invention may further include a display (330) for displaying data and images, a user interface (340) for receiving user input, and a communication interface (350) for linking with the outside.

[0037] Below, a method for controlling an LED phototherapy device using artificial intelligence according to one embodiment of the present invention will be described. Any descriptions that overlap with the previously described embodiment will be omitted as necessary.

[0038] First, the user accesses the file distribution server or server (100) via the user terminal (300), downloads and installs the user application according to the present invention, and then executes it. First, the user can register as a member, and when registering as a member, the user can register information such as gender, age, disease, and symptom severity. At this time, multiple users can be registered in the application installed on one user terminal (300). The user application installed on the user terminal (300) includes a control value calculation model of the LED phototherapy device (400) and can be updated by the server (100) periodically or at any time.

[0039] Figure 4 is a flowchart of a method for controlling an LED phototherapy device (400) using artificial intelligence according to one embodiment of the present invention.

[0040] The user terminal (300) (user application) collects clinical research papers on LED phototherapy online (S11). The user application can be configured to periodically search specific sites and extract relevant clinical research papers.

[0041] The user terminal (300) (user application) extracts data on at least four first clinical items among disease, body part, symptom level, age, gender, number of clinical patients, and treatment effect from the collected clinical paper data, and at least four second clinical items among wavelength, frequency, peak power, duty ratio, operating time, and treatment interval of the LED module (S12).

[0042] As mentioned above, the first clinical item is patient-related information, and the second clinical information is information regarding LED module control values ​​related to treatment. The user application includes an AI analysis module for collecting and extracting data from these clinical papers, and can be configured to perform operations periodically or intermittently.

[0043] The user terminal (300) (user application) builds data on the extracted first clinical item and second clinical item into a data table and stores it in the memory (310) (S12).

[0044] Table 1 below illustrates an example of a data table regarding clinical information according to one embodiment of the present invention.

[0045] Disease nameBody partSymptom severity (1-10)Age groupGender (male and female)Number of clinical patientsWavelengthLED powerDuty ratioFreq.Operation timeIntervalTreatment effect e n (1~5) Note (LED / laser) 1 Alzheimer's 1 Head 450F12W1P1D1F1T 11 times / 1 day 3… 2 Alzheimer's 2640M50W2P2D2F2T 21 times / 2 days 4… 3 Alzheimer's 3860F3W3P3D3F3T 31 times / 3 times 5… 4 Cognitive Impairment 1… … … … … … … … … … … … 5 Cognitive Impairment 2… … … … … … … … … … … … … 6… … ...

[0046] As shown in Table 1 above, clinical data corresponding to each clinical item is extracted from clinical paper data and prepared as a data table. In the above-described embodiment, steps S10 to S12 were described as being performed by the user terminal (300), but according to another embodiment of the present invention, they may be performed by the server (100). In the latter case, the server (100) provides the data table to the user terminal (300), and the user terminal (300) stores the data table in the memory (310) so that it can be used to calculate driving variable values ​​later.

[0047] When a user wishes to receive treatment using an LED light therapy device (400), the user logs in by executing the user application installed on the user terminal (300), and the user application creates a first UI for a questionnaire for the user and displays it on the display (S13).

[0048] The first UI includes items related to the user's age (age), gender, disease name, body part, and symptom severity. If the user enters information regarding all or part of the items during membership registration, the questionnaire regarding the previously entered information may be omitted. In addition, since, for example, the symptom severity is a value that changes depending on treatment, the user application may display the previously entered information in the first UI when the user uses the LED light therapy device (400), allowing the user to edit only the items they wish to edit.

[0049] The first UI may further include an item asking whether the user has a condition such as cancer or pregnancy. If the user selects "Yes" in this item, use of the LED phototherapy device (400) may be restricted. As another example, if the user has multiple diseases, the user may enter and register each disease individually.

[0050] The user application calculates the operating variable values ​​of the LED module based on the information entered through the first UI and the data table (S14). Here, the operating variables of the LED module include at least four of the wavelength (or frequency), peak power, duty cycle, operating time, and treatment interval of the LED module.

[0051] The method for calculating the operating variable values ​​of the LED module of the user application will be described later. Generally, the operating variable values ​​of the LED module used in the phototherapy device are limited to a certain range. In this embodiment, the wavelength of the LED module: 660 nm, 850 nm, 940 nm, LED emission power: P min ~ P max (0 ~ 15 mW), Duty Ratio: 0 ~ 100%, Driving Frequency: F min ~ F max (0 ~ 5 kHz), operating time: T min ~ T max Here is an example of setting it to (0 to 15 minutes).

[0052] The user application identifies a clinical case in the data table that has data for the first clinical item that matches the information entered through the first UI. Then, based on the data for the second clinical item of the identified clinical case, it calculates the operating parameter values ​​of the LED module.

[0053] For example, if a user inputs the disease name as 'Alzheimer', the body part as 'head', the age as '60s', the gender as 'female', and the symptom severity as '6' in Table 1, the user application extracts clinical cases with matching values ​​for the corresponding items from the data table. For example, if there are three matching clinical cases, the user application calculates the operating variable value of the LED module based on the data of the second clinical item (LED operating variable) of the three clinical cases.

[0054] Specifically, the driving variable value is calculated by assigning a weight to the data of the second clinical items of clinical cases having data of the first clinical item matching the information entered through the first UI based on at least one of the value of the number of clinical subjects and the value of the treatment effect. For example, the final LED driving variable value is calculated by assigning a higher weight to the second clinical item (LED driving variable) of a clinical case with a large number of clinical subjects and / or a clinical case with a high treatment effect.

[0055] In one example of the present invention, the peak power (P) of the LED module can be calculated by the following formula.

[0056]

[0057] Here, P represents the peak power value of the clinical case matching the user's questionnaire entry in the data table, and e represents a weighting factor, assigned a value from 1 to 5 based on the number of clinical trial participants and the treatment effect of the matching clinical case (the minimum value is 1). For example, a higher value can be assigned to a higher number of clinical trial participants, and a higher value can be assigned to a higher treatment effect.

[0058] The user application determines whether the calculated P value is outside the specification range of the LED phototherapy device (400) as shown below, and then determines the final power peak value.

[0059] For example, (i) P min ≤ P ≤ P max If , the calculated P value is determined as the final power peak value, and (ii) P < P min If P min The value is determined as the final power peak value, (iii) P max If < P then P max is determined as the final power peak value.

[0060] In one example of the present invention, the duty ratio (D) of the LED module can be calculated by the following formula.

[0061]

[0062] Here, D represents the duty ratio value of the clinical case matching the user's questionnaire entry in the data table, and e represents a weight, assigned a value between 1 and 5 based on the number of clinical trial participants and the treatment effect of the matching clinical case in the data table. For example, a higher value can be assigned as the number of clinical trial participants increases, and a higher value can be assigned as the treatment effect increases.

[0063] In one example of the present invention, the driving frequency (F) of the LED module can be calculated by the following formula.

[0064]

[0065] Here, F represents the driving frequency value of the clinical case matching the user's questionnaire entry in the data table, and e represents a weighting factor, assigned a value between 1 and 5 based on the number of clinical trial participants and the treatment effect of the matching clinical case in the data table. For example, a higher value can be assigned as the number of clinical trial participants increases, and a higher value can be assigned as the treatment effect increases.

[0066] The user application determines whether the generated F value is outside the specification range of the LED phototherapy device (400) as shown below, and then determines the final driving frequency value.

[0067] For example, (i) F min ≤ F ≤ F max In this case, the calculated F value is determined as the final driving frequency value, and (ii) F < F min If F min The value is determined as the final driving frequency value, (iii) F max F if < F max is determined as the final driving frequency value.

[0068] In one example of the present invention, the operating time (T) of the LED module can be calculated using the following formula.

[0069]

[0070] Here, T represents the operating time value of the clinical case matching the information entered by the user in the questionnaire in the data table, and e is a weight, assigned a value ranging from 1 to 5 based on the number of clinical trial participants and the treatment effect of the matching clinical case in the data table. For example, a higher value can be assigned as the number of clinical trial participants increases, and a higher value can be assigned as the treatment effect increases.

[0071] The user application determines whether the produced T value is outside the specification range of the LED phototherapy device (400) as shown below, and then determines the final operating time value.

[0072] For example, (i) T min ≤ T ≤ T max If , the calculated T value is determined as the final operating time value, and (ii) T < T min If T min The value is determined as the final operating time value, and (iii) T max If < T then T max is determined as the final operation time value.

[0073] The user terminal (300) (user application) transmits the operating variable values ​​of the LED control module (420) calculated through the aforementioned process, for example, values ​​related to the wavelength, frequency, peak power, duty ratio, operating time, and treatment interval of the LED module, to the LED control module (420) (S15). The LED control module (420) controls the operation of the LED module according to the LED operating variable values ​​received through the user terminal (300).

[0074] In this way, the present invention controls the operation of the LED phototherapy device (400) with an operating variable value that has an optimal treatment effect based on clinical information that matches information such as disease, body part, age, gender, and symptom level entered by the user, thereby enabling the user to receive treatment under optimal conditions.

[0075] Upon completion of treatment, the user application generates a second UI regarding treatment satisfaction and displays it on the display (S16). Furthermore, it generates and displays a graph showing changes in data entered by the user regarding symptom severity and treatment satisfaction over time (S17).

[0076] Figure 5 is an example of a graph showing symptoms and satisfaction levels displayed in a user application for controlling an LED phototherapy device (400) using artificial intelligence according to one embodiment of the present invention. As illustrated in Figure 5, by displaying the treatment progress over time at a glance, the user can check how symptoms or satisfaction levels have changed during the treatment period.

[0077] The present invention can also be implemented in various computer-readable recording media, such as magnetic storage media, optical reading media, and digital storage media, which store a computer program for performing the control method of the LED phototherapy device (400) according to the present invention when executed on a computer. In addition, the description expressed as steps in the claims is not limited to the order of the steps.

[0078] While several embodiments of the present invention have been described so far, those skilled in the art will appreciate that modifications or substitutions of certain embodiments may be made without departing from the technical spirit of the present invention. Therefore, the scope of protection of the present invention should be deemed to encompass the inventions described in the claims and their equivalents.

Claims

1. In the LED phototherapy device control system using artificial intelligence, An LED pad equipped with an LED module in which multiple LED elements are arranged in a certain pattern; An LED control module that controls the operation of the above LED module; and Includes a user terminal that provides the LED module's driving variable values ​​to the LED control module in conjunction with the LED control module; The user terminal includes a memory having a data table storing clinical information, a processor, and a user application stored in the memory and executed by the processor. The user application generates a UI for a survey and displays it on the display, calculates the driving variable value based on the information entered through the UI and the data table, and provides the driving variable value to the LED control module. An LED phototherapy device control system, characterized in that the LED control module receives the driving variable value from the user terminal and controls the operation of the LED module based on the received driving variable value.

2. In paragraph 1, The clinical information of the above data table includes at least four first clinical items among disease, body part, symptom severity, age, gender, number of clinical subjects, and treatment effect; and at least four second clinical items among wavelength, frequency, peak power, duty ratio, operating time, and treatment interval of the LED module; An LED phototherapy device control system characterized in that the above clinical information is extracted from a plurality of clinical papers.

3. In paragraph 2, The above UI includes items related to the user's age, gender, disease name, body part, and symptom severity. The user application identifies a clinical case having data of a first clinical item matching the information entered through the UI in the data table, and calculates the driving variable value based on data of a second clinical item of the identified clinical case. The LED phototherapy device control system is characterized in that:

4. In paragraph 3, The LED phototherapy control system characterized in that the user application calculates the driving variable value by assigning a weight to the data of the second clinical item of clinical cases having the data of the first clinical item matching the information entered through the UI according to at least one of the value of the number of clinical personnel and the value of the treatment effect.

5. In a control method of an LED phototherapy device using artificial intelligence, Step of collecting clinical paper data on LED phototherapy; A step of extracting data on at least four first clinical items among disease, body part, symptom severity, age, gender, number of clinical subjects, and treatment effect, and at least four second clinical items among wavelength, frequency, peak power, duty ratio, operating time, and treatment interval of an LED module from collected clinical paper data; A step of storing data for the extracted first clinical item and second clinical item in memory as a data table; Step of creating a first UI for a survey and displaying it on a display; A step of calculating the driving variable values ​​of the LED module based on the information input through the first UI and the data table; and A control method for an LED phototherapy device, characterized in that it includes a step of providing the calculated driving variable value to the LED control module.

6. In paragraph 5, The above first UI includes items related to age, gender, disease name, body part, and symptom severity. A method for controlling an LED phototherapy device, characterized in that the step of calculating the driving variable value comprises: identifying a clinical case having data of a first clinical item matching the information input through the first UI in the data table, and calculating the driving variable value by assigning a weight to data of a second clinical item of the identified clinical case according to at least one of the value of the number of clinical personnel and the value of the treatment effect.

7. In paragraph 6, A step of generating a second UI regarding treatment satisfaction and displaying it on the display; A step of saving data entered through the second UI; and A control method for an LED phototherapy device, characterized in that it further includes a step of generating and displaying a graph showing changes over time in the data regarding the degree of symptoms and the data regarding the level of satisfaction input through the first UI.

8. A computer-readable recording medium having recorded thereon a program for performing a method for controlling an LED phototherapy device using artificial intelligence according to any one of Articles 5 to 7.

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