Method, device and equipment for editing lung function predicted value formula

Abstract

The invention discloses a lung function predicted value formula editing method, a lung function predicted value formula editing device, computer equipment and a computer readable storage medium, and relates to the technical field of lung function tests.The lung function predicted value formula editing method includes the steps that a preset interface is opened in response to a user-defined predicted value editing instruction; the input operation of a user is monitored, a user-defined predicted value formula is constructed, and the type of the input operation comprises a typing operation and a dragging operation; and in response to a file saving or exporting instruction, generating a custom formula file. Compared with the prior art, the method for editing the lung function predicted value formula has the advantages that editing of the user-defined predicted value formula is achieved, and the technical problem that in the prior art, due to the lack of the user-defined predicted value function, lung function measuring equipment is inconvenient to use is solved.

Description

Technical Field

[0001] The present application relates to the technical field of pulmonary function testing, and in particular to a method for editing a pulmonary function prediction value formula, an editing device for the pulmonary function prediction value formula, a computer device, and a computer-readable storage medium. Background Art

[0002] Pulmonary function tests are one of the necessary examination items for respiratory diseases, and commonly include tests such as pulmonary ventilation, lung capacity, lung diffusion and respiratory resistance. Pulmonary function tests have important clinical value in early detection of lung and airway lesions, assessment of disease severity and prognosis, evaluation of the efficacy of drugs or other treatments, identification of causes of dyspnea, diagnosis of lesion sites, assessment of lung function tolerance to surgery or labor intensity, and monitoring of critically ill patients.

[0003] When conducting a pulmonary function test, the subject's relevant respiratory parameters are measured mainly through pulmonary function measurement equipment such as a spirometer, and then the patient's actual measured data is compared with the predicted values ​​of each test parameter to determine the subject's respiratory disease. The predicted values ​​of each test parameter are used to characterize the theoretical or actual measured values ​​of each test parameter in a healthy respiratory system of a similar population to the subject.

[0004] It should be noted that the predicted values ​​of the test parameters vary greatly between different regions, ages, genders, heights, weights, and races. For example, the predicted values ​​of vital capacity-related parameters for adults should be higher or better than those for children. The predicted values ​​of vital capacity and lung diffusion-related parameters for people in plateau areas should be higher or better than those for people in plain areas. The predicted values ​​of male lung function-related parameters should be higher or better than those for women, etc. This leads to the need to select different predicted value calculation formulas based on different subjects. At present, the predicted value calculation of test parameters is frequently used in pulmonary function instruments. Different hospitals may use different versions of the predicted value formula. However, the relevant pulmonary function measurement equipment on the current market lacks the relevant customized predicted value function, which makes it inconvenient for hospitals that want to customize the predicted values ​​or combine different versions of the predicted value formula to use these pulmonary function measurement equipment. Summary of the invention

[0005] The present application aims to solve at least one of the technical problems existing in the prior art. To this end, the present application proposes a method, device, electronic device and computer-readable storage medium for editing a lung function prediction value formula, and by providing a method for editing a lung function prediction value formula, the editing of a custom prediction value formula is realized, solving the technical problem in the prior art that the lung function measurement device is inconvenient to use due to the lack of a custom prediction value function.

[0006] In the first aspect, in order to solve the above technical problems, the present application provides a method for editing a lung function prediction value formula, comprising:

[0007] In response to a custom estimated value editing instruction, opening a preset interface;

[0008] Monitoring the user's input operation and building a custom estimated value formula, wherein the input operation types include typing operation and dragging operation;

[0009] In response to a file save or export instruction, a custom formula file is generated.

[0010] In some possible implementations, after the step of monitoring the user's input operation and constructing a custom predicted value formula, the method further includes:

[0011] Obtaining human body parameters of the subject;

[0012] After the human body parameters of the subject are input into the custom predicted value formula, the predicted values ​​of the subject's lung function-related parameters are calculated.

[0013] In some possible implementations, the step of monitoring the user's input operation and constructing a custom estimated value formula includes:

[0014] Import or create a new blank formula file;

[0015] Monitor the user's parameter selection operations and parameter combination operations to construct the custom estimated value formula.

[0016] In some possible implementations, the step of monitoring the user's input operation and constructing a custom estimated value formula includes:

[0017] On the preset interface, the editing and modification operations of the user on the selected preset formula are monitored to construct the custom estimated value formula.

[0018] In some possible implementations, the method further includes:

[0019] Recording a mapping relationship between the custom estimated value formula and conditional parameters, wherein the conditional parameters are used to characterize a preset selection condition of the custom estimated value formula;

[0020] According to the human body parameters of the subject and the mapping relationship, the custom predicted value formula suitable for the subject is selected.

[0021] In some possible implementations, the method further includes:

[0022] Recording a correction rule corresponding to the custom predicted value formula, wherein the correction rule is used to characterize a mapping relationship between different human body parameters and different correction coefficients;

[0023] After the step of inputting the human body parameters of the subject into the self-defined predicted value formula and calculating the predicted value of the subject's lung function-related parameter, the method further includes:

[0024] Determining a correction coefficient according to the human body parameters of the subject and the correction rule;

[0025] The predicted value is corrected and compensated according to the correction coefficient to obtain a corrected predicted value.

[0026] In some possible implementations, the custom formula file is in XML format.

[0027] In the second aspect, in order to solve the above technical problems, the present application also provides an editing device for a lung function prediction value formula, comprising:

[0028] A display module, configured to open a preset interface in response to a custom estimated value editing instruction;

[0029] An input module, used to monitor the user's input operation and construct a custom estimated value formula, wherein the types of input operation include typing operation and dragging operation;

[0030] The document processing module is used to generate a custom formula file in response to a file saving or exporting instruction.

[0031] In a third aspect, in order to solve the above technical problems, the embodiment of the present application further provides a computer device, which adopts the following technical solution:

[0032] It includes a memory and a processor, the memory stores a computer program, and the processor implements the editing method of the lung function prediction value formula as described in the first aspect and any possible implementation method of the first aspect when executing the computer program.

[0033] In a fourth aspect, in order to solve the above technical problems, the embodiment of the present application further provides a computer-readable storage medium, which adopts the following technical solution:

[0034] The computer-readable storage medium stores a computer process, and when the computer process is executed by the processor, it implements the editing method of the lung function prediction value formula as described in the above-mentioned first aspect and any possible implementation method of the first aspect.

[0035] According to a method for editing a lung function prediction value formula in an embodiment of the present application, it has at least the following beneficial effects:

[0036] After responding to the custom estimated value editing instruction, the preset interface is opened, and the preset interface can display the formula editor interface. On the preset interface, the user's input operations such as typing or dragging operations can be monitored to build a custom estimated value formula. Afterwards, in response to the file save or export instruction, a custom formula file is generated. Therefore, the editing method of the pulmonary function estimated value formula of the embodiment of the present application can enable the user to conveniently build a custom pulmonary function parameter estimated value formula, thereby improving the convenience of use of the pulmonary function measurement device.

[0037] Other features and advantages of the present application will be set forth in the following description, and in part will become apparent from the description, or may be understood by practicing the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, in which:

[0039] Figure 1 It is a schematic diagram of an embodiment of a method for editing a lung function prediction value formula provided in an embodiment of the present application;

[0040] Figure 2 It is a schematic diagram of an embodiment of a device for editing a lung function prediction value formula provided in an embodiment of the present application;

[0041] Figure 3 It is a schematic diagram of an embodiment of a computer device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0042] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present application, and cannot be understood as limiting the present application.

[0043] In the description of this application, if there is a description of first, second, etc., it is only for the purpose of distinguishing technical features, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features or implicitly indicating the order of the indicated technical features.

[0044] In the description of the present application, it should be understood that the descriptions involving orientation, such as the orientation or positional relationship indicated as up, down, etc., are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0045] In the description of this application, it should be noted that, unless otherwise clearly defined, terms such as setting, installing, connecting, etc. should be understood in a broad sense, and technicians in the relevant technical field can reasonably determine the specific meaning of the above terms in this application based on the specific content of the technical solution.

[0046] The technical solution of the present application will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described below are only part of the embodiments of the present application, not all of the embodiments.

[0047] See also Figure 1 The present application embodiment provides a method for editing a lung function prediction value formula, comprising:

[0048] Step S110, in response to the custom estimated value editing instruction, open the preset interface.

[0049] In this embodiment, in order to allow users to freely create and edit the lung function prediction value formula, a preset interface can be provided. The preset interface can have multiple display areas, such as a formula editor and a parameter list, so that users can construct formulas in a variety of ways.

[0050] Step S120, monitoring the user's input operation and constructing a custom estimated value formula, wherein the types of the input operation include typing operation and dragging operation.

[0051] In this embodiment, after opening the preset interface, the user's input operations in the preset interface can be monitored. Specifically, you can enter your own formula through the formula editor, or you can select existing parameters from the parameter list and combine them to build a custom estimated value formula. The specific input operation types may include typing operations, dragging operations, etc.

[0052] Step S130, generating a custom formula file in response to a file saving or exporting instruction.

[0053] In this embodiment, after the custom estimated value formula is constructed, a readable custom formula file can be generated in response to a file save or file export instruction clicked by the user and saved in the local hard disk for subsequent import and editing at any time.

[0054] According to a method for editing a lung function prediction value formula in an embodiment of the present application, it has at least the following beneficial effects:

[0055] After responding to the custom estimated value editing instruction, the preset interface is opened, and the preset interface can display the formula editor interface. On the preset interface, the user's input operations such as typing or dragging operations can be monitored to build a custom estimated value formula. Afterwards, in response to the file save or export instruction, a custom formula file is generated. Therefore, the editing method of the pulmonary function estimated value formula of the embodiment of the present application can enable the user to conveniently build a custom pulmonary function parameter estimated value formula, thereby improving the convenience of use of the pulmonary function measurement device.

[0056] In some possible implementations, after the step of monitoring the user's input operation and constructing a custom predicted value formula, the method further includes: obtaining the subject's body parameters; after inputting the subject's body parameters into the custom predicted value formula, calculating the predicted values ​​of the subject's lung function-related parameters.

[0057] In this embodiment, after the human body parameters of the subject are input, the human body parameters can be input into the custom predicted value formula, and the predicted value of the subject's lung function related parameters can be calculated. For example, a possible example is that the user creates a custom predicted value formula named "test formula", which is as follows:

[0058] FVC=Height*0.035-Age*0.013-1.83;

[0059] Among them, "Height" represents height, and "Age" represents age.

[0060] After editing the formula, you can obtain the subject's height and age data and input them into the calculation to get the "FVC" value.

[0061] In some possible implementations, the step of monitoring the user's input operations and constructing a custom predicted value formula includes: importing or creating a blank formula file; monitoring the user's parameter selection operations and parameter combination operations, and constructing the custom predicted value formula.

[0062] In this embodiment, the user can create a new blank formula file in the software and name it as he likes. He can edit it directly in the formula editor and select the parameters involved in the formula. These parameters can be customized or already in the parameter list. After that, the user can combine the selected parameters, set the calculation rules, and complete the construction of the customized estimated value formula. It should be noted that the calculation rules can support a variety of complex calculations, including simple four arithmetic operations, complex function calculations (such as trigonometric functions, exponential functions, logarithmic functions, hyperbolic functions, etc.), matrix calculations, and logical expression calculations.

[0063] In some possible implementations, the step of monitoring the user's input operations and constructing a custom predicted value formula includes: on the preset interface, monitoring the user's editing and modification operations on the selected preset formula, and constructing the custom predicted value formula.

[0064] In this embodiment, the preset interface may also have a preset formula list. The user can select the preset formula to be modified in the list and drag or move the formula into the editing area, and then monitor the user's editing and modification operations on the preset formula, such as deleting certain parameters based on the original formula, or adding new parameters, etc., to build a custom estimated value formula.

[0065] In some possible implementations, the method further includes: recording a mapping relationship between the custom predicted value formula and conditional parameters, wherein the conditional parameters are used to characterize preset selection conditions of the custom predicted value formula; and selecting the custom predicted value formula suitable for the subject based on the body parameters of the subject and the mapping relationship.

[0066] In this embodiment, after the custom predicted value formula is constructed, due to the differences in human body parameters between normal individuals of different populations, the custom predicted value formulas applicable to different populations are not the same. Specifically, it can be reflected in the predicted value formulas of some same measurement items. Different categories of people, such as people divided by gender, race, age, weight or other factors, may have different related calculation coefficients or calculation rules in the corresponding predicted value formulas. Multiple predicted value formulas can be set for different populations. For example, in the vital capacity (VC) prediction formula, the vital capacity is predicted by age and height. The predicted value for men is: VC (ml) = [27.63-0.112*age (years)] * height (cm), and the predicted value for women is: VC (ml) = [21.78-0.101*age (years)] * height (cm).

[0067] Therefore, when constructing a custom estimated value formula, the user may be prompted to set a conditional parameter of the estimated value formula, which is used to indicate the selection condition of the custom estimated value formula. For example, in the male VC estimated value formula mentioned above, the conditional parameter may be "gender: male". After the custom estimated value formula is constructed, the mapping relationship between the custom estimated value formula and the corresponding conditional parameter may be saved.

[0068] In some possible implementations, the method further includes: recording a correction rule corresponding to the custom predicted value formula, wherein the correction rule is used to characterize the mapping relationship between different human body parameters and different correction coefficients; after the step of inputting the human body parameters of the subject into the custom predicted value formula and calculating the predicted value of the subject's lung function-related parameters, the method further includes: determining the correction coefficient based on the subject's human body parameters and the correction rule; and correcting and compensating the predicted value based on the correction coefficient to obtain a corrected predicted value.

[0069] In this embodiment, after the custom predicted value formula is constructed, due to the differences in human body parameters between normal individuals in different populations, the corresponding predicted values ​​of the same custom predicted value formula using the same measurement parameters in different categories of people may not be accurate. Specifically, the category can be reflected in factors such as age, height and weight.

[0070] Therefore, after building a custom predicted value formula, you can also set and record the correction rules corresponding to the custom predicted value formula. The calibration rules can characterize the mapping relationship between different human body parameters and different correction coefficients. For example, for a custom predicted value formula of a certain lung function parameter, if it is related to age, the correction rules can be set as follows:

[0071] If the subject's age is in the ab interval, the correction coefficient is 0.5; if it is in the bc interval, the correction coefficient is 0.8; if it is in the cd interval, the correction coefficient is 1; if it is in the de interval, the correction coefficient is 0.9; and if it is in the ef interval, the correction coefficient is 0.7.

[0072] After that, after the predicted value of the measurement item is calculated according to the custom predicted value formula, the correction coefficient corresponding to the subject can be further determined from the correction rule according to the subject's human body parameters, and the correction coefficient is used to perform correction compensation calculation on the initially calculated predicted value, thereby obtaining the corrected predicted value of the measurement item. By using the correction compensation calculation, the predicted value result is corrected so that the predicted value calculation result reflects the changes in lung function caused by changes in factors such as age, height and weight, which can make the predicted value result more accurate.

[0073] In some possible implementations, the custom formula file is in an extensible markup language (XML) format.

[0074] In this implementation, some of the prior art estimated value formula files are saved and read in comma-separated values ​​(CSV) format, which requires a specific parsing tool to parse in order to know the stored content, and is extremely inconvenient to use. In this embodiment, the custom estimated value formula is stored in XML format, and the specific stored content can be clearly seen without parsing, and the use of XML format also further improves the flexibility of editing, and the content of the formula file can be added or deleted.

[0075] like Figure 2 As shown, the embodiment of the present application also provides an editing device 200 for a lung function prediction value formula, comprising:

[0076] Display module 210, for opening a preset interface in response to a custom estimated value editing instruction;

[0077] An input module 220 is used to monitor the user's input operation and construct a custom estimated value formula, where the input operation types include typing operation and dragging operation;

[0078] The document processing module 230 is used to generate a custom formula file in response to a file saving or exporting instruction.

[0079] According to an embodiment of the present application, a device 200 for editing a lung function prediction value formula has at least the following beneficial effects:

[0080] After responding to the custom estimated value editing instruction, a preset interface is opened, which can display a formula editor interface. On the preset interface, input operations such as user typing or dragging operations can be monitored to construct a custom estimated value formula. Afterwards, in response to a file save or export instruction, a custom formula file is generated. Therefore, the editing device 200 of the pulmonary function estimated value formula of the embodiment of the present application can enable the user to conveniently construct a custom pulmonary function parameter estimated value formula, thereby improving the ease of use of the pulmonary function measurement device.

[0081] In some possible implementations, the device 200 for editing the lung function prediction value formula further includes:

[0082] The calculation module is used to obtain the human body parameters of the subject; after the human body parameters of the subject are input into the self-defined predicted value formula, the predicted values ​​of the lung function-related parameters of the subject are calculated.

[0083] In some possible implementations, the input module is specifically used to import or create a blank formula file; monitor the user's parameter selection operations and parameter combination operations, and construct the custom estimated value formula.

[0084] In some possible implementations, the input module is specifically used to monitor the user's editing and modification operations on the selected preset formula on the preset interface to construct the custom estimated value formula.

[0085] In some possible implementations, the document processing module 230 is also used to record the mapping relationship between the custom predicted value formula and the conditional parameters, and the conditional parameters are used to characterize the preset selection conditions of the custom predicted value formula; based on the human body parameters of the subject and the mapping relationship, the custom predicted value formula suitable for the subject is selected.

[0086] In some possible implementations, the document processing module 230 is further used to record a correction rule corresponding to the custom predicted value formula, wherein the correction rule is used to characterize a mapping relationship between different human body parameters and different correction coefficients;

[0087] The calculation module is further used to determine a correction coefficient according to the human body parameters of the subject and the correction rule; and to perform correction compensation on the predicted value according to the correction coefficient to obtain a corrected predicted value.

[0088] In some possible implementations, the custom formula file is in XML format.

[0089] To solve the above technical problems, the present application embodiment also provides a computer device 300. Figure 3 , Figure 3 This is a basic structural block diagram of the computer device in this embodiment.

[0090] The computer device 300 includes a memory 310, a processor 320, and a network interface 330 that are interconnected and communicated through a system bus. It should be noted that the figure only shows a computer device 300 having components 310-330, but it should be understood that it is not required to implement all the components shown, and more or fewer components can be implemented instead. Among them, those skilled in the art can understand that the computer device here is a device that can automatically perform numerical calculations and / or information processing according to pre-set or stored instructions, and its hardware includes but is not limited to microprocessors, application specific integrated circuits (Application Specific Integrated Circuit, ASIC), programmable gate arrays (Field-Programmable Gate Array, FPGA), digital processors (Digital Signal Processor, DSP), embedded devices, etc.

[0091] The computer device may be a computing device such as a desktop computer, a notebook, a PDA, a cloud server, etc. The computer device may interact with a user through a keyboard, a mouse, a remote controller, a touch pad, or a voice control device.

[0092] The memory 310 includes at least one type of readable storage medium, including flash memory, hard disk, multimedia card, card-type memory (e.g., SD or DX memory, etc.), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, disk, optical disk, etc. The computer-readable storage medium may be non-volatile or volatile. In some embodiments, the memory 310 may be an internal storage unit of the computer device 300, such as a hard disk or memory of the computer device 300. In other embodiments, the memory 310 may also be an external storage device of the computer device 300, such as a plug-in hard disk equipped on the computer device 300, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. Of course, the memory 310 may also include both the internal storage unit of the computer device 300 and its external storage device. In this embodiment, the memory 310 is generally used to store the operating system and various application software installed on the computer device 300, such as computer-readable instructions for the editing method of the lung function prediction value formula, etc. In addition, the memory 310 can also be used to temporarily store various data that have been output or are to be output.

[0093] The processor 320 may be a central processing unit (CPU), a controller, a microcontroller, a microprocessor, or other data processing chip in some embodiments. The processor 320 is generally used to control the overall operation of the computer device 300. In this embodiment, the processor 320 is used to run the computer-readable instructions or process data stored in the memory 310, such as computer-readable instructions for running the editing method of the lung function prediction value formula.

[0094] The network interface 330 may include a wireless network interface or a wired network interface. The network interface 330 is generally used to establish a communication connection between the computer device 300 and other electronic devices.

[0095] The present application also provides another embodiment, that is, providing a computer-readable storage medium, wherein the computer-readable storage medium stores a computer process, and the computer process can be executed by at least one processor to enable the at least one processor to perform the above Figure 1 The embodiments shown and Figure 1 The steps of the method for editing the lung function prediction value formula in any possible implementation of the embodiment shown.

[0096] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in each embodiment of the present application.

[0097] Obviously, the embodiments described above are only some embodiments of the present application, rather than all embodiments. The preferred embodiments of the present application are given in the accompanying drawings, but they do not limit the patent scope of the present application. The present application can be implemented in many different forms. On the contrary, the purpose of providing these embodiments is to make the understanding of the disclosure of the present application more thorough and comprehensive. Although the present application is described in detail with reference to the aforementioned embodiments, for those skilled in the art, it is still possible to modify the technical solutions recorded in the aforementioned specific implementation methods, or to perform equivalent replacement of some of the technical features therein. Any equivalent structure made using the contents of the specification and drawings of this application, directly or indirectly used in other related technical fields, is similarly within the scope of patent protection of this application.

Claims

1. A method for editing a lung function prediction value formula, characterized in that: The method comprises: In response to a custom estimated value editing instruction, opening a preset interface; Monitoring the user's input operation and building a custom estimated value formula, wherein the input operation types include typing operation and dragging operation; In response to a file save or export instruction, a custom formula file is generated.

2. The method for editing the lung function prediction value formula according to claim 1, characterized in that: After the step of monitoring the user's input operation and constructing a custom predicted value formula, the method further includes: Obtaining human body parameters of the subject; After the human body parameters of the subject are input into the custom predicted value formula, the predicted values ​​of the subject's lung function-related parameters are calculated.

3. The method for editing the lung function prediction value formula according to claim 2, characterized in that: The step of monitoring the user's input operation and constructing a custom estimated value formula includes: Import or create a new blank formula file; Monitor the user's parameter selection operations and parameter combination operations to construct the custom estimated value formula.

4. The method for editing the lung function prediction value formula according to claim 2, characterized in that: The step of monitoring the user's input operation and constructing a custom estimated value formula includes: On the preset interface, the editing and modification operations of the user on the selected preset formula are monitored to construct the custom estimated value formula.

5. The method for editing the lung function prediction value formula according to claim 3 or 4, characterized in that: The method further comprises: Recording a mapping relationship between the custom estimated value formula and conditional parameters, wherein the conditional parameters are used to characterize a preset selection condition of the custom estimated value formula; According to the human body parameters of the subject and the mapping relationship, the custom predicted value formula suitable for the subject is selected.

6. The method for editing the lung function prediction value formula according to claim 3 or 4, characterized in that: The method further comprises: Recording a correction rule corresponding to the custom predicted value formula, wherein the correction rule is used to characterize a mapping relationship between different human body parameters and different correction coefficients; After the step of inputting the human body parameters of the subject into the self-defined predicted value formula and calculating the predicted value of the subject's lung function-related parameter, the method further includes: Determining a correction coefficient according to the human body parameters of the subject and the correction rule; The predicted value is corrected and compensated according to the correction coefficient to obtain a corrected predicted value.

7. The method for editing the lung function prediction value formula according to any one of claims 1 to 4, characterized in that: The custom formula file is in XML format.

8. A device for editing a lung function prediction value formula, characterized in that: The device comprises: A display module, configured to open a preset interface in response to a custom estimated value editing instruction; An input module, used to monitor the user's input operation and construct a custom estimated value formula, wherein the types of input operation include typing operation and dragging operation; The document processing module is used to generate a custom formula file in response to a file saving or exporting instruction.

9. A computer device, characterized in that: include: A memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the method for editing the lung function prediction value formula as described in any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that: The storage medium stores a computer process, and when the computer process is executed by a processor, it implements the editing method of the lung function prediction value formula as described in any one of claims 1 to 7.

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