Inflammation information management-based allergic rhinitis treatment effect evaluation system and method

Abstract

The invention relates to the technical field of medical big data, in particular to an allergic rhinitis treatment effect evaluation system and method based on inflammation information management, and aims to perform treatment analysis based on patient antibody change stability analysis and nasal cavity lesion change conditions in inflammation characteristics. And obtaining allergen characteristic data in the treatment time scene, carrying out allergen influence degree analysis to obtain an allergen influence degree analysis result, and carrying out treatment effect evaluation based on the obtained treatment analysis result and the allergen influence degree analysis result. According to the scheme, the treatment effect is analyzed by integrating changes of the nasal cavity lesion degree and the illness state change stability condition in the treatment process, the accuracy of treatment effect analysis is improved, and meanwhile the treatment difficulty is analyzed through cooperative interference of allergens in the treatment process; therefore, the interference influence of collaborative interference of allergens in the treatment process on treatment effect evaluation is avoided, and the accuracy of treatment effect analysis is further improved.

Description

Technical Field

[0001] The present invention relates to the field of medical big data technology, and in particular to a system and method for evaluating the therapeutic effect of allergic rhinitis based on inflammation information management. Background Art

[0002] Allergic rhinitis is a common allergic disease, mainly caused by allergens in the air (such as pollen, dust mites, pet dander, mold spores, etc.), which leads to allergic reactions in the nasal mucosa. The incidence of this disease is high worldwide, especially in clean and sanitary areas, which significantly affects the quality of life of patients. Allergic rhinitis is a disease caused by the immune system's overreaction to certain harmless substances (allergens), leading to inflammation of the nasal mucosa. When treating allergic rhinitis, it is usually treated by immunomodulation, drug therapy and reducing allergen exposure. However, when analyzing the treatment effect, the existing technology cannot comprehensively analyze the changes in the degree of nasal lesions during the treatment process and the stability of the disease. At the same time, it cannot avoid the interference of the synergistic interference of allergens during the treatment process on the treatment effect evaluation, resulting in the inability to analyze the treatment effect.

[0003] In order to solve these problems, this application designs an allergic rhinitis treatment effect evaluation system and method based on inflammation information management. Summary of the Invention

[0004] In order to overcome the defects and shortcomings of the existing technology, the present invention provides an allergic rhinitis treatment effect evaluation system and method based on inflammation information management, which performs a disease change stability analysis based on the antibody changes in the inflammatory characteristics of the patient's allergic rhinitis, performs a treatment analysis based on the patient's antibody change stability analysis and the nasal lesion changes in the inflammatory characteristics, obtains allergen feature data in the treatment time scenario to perform allergen impact analysis, obtains the allergen impact analysis results, and evaluates the treatment effect based on the obtained treatment analysis results and allergen impact analysis results. This scheme comprehensively analyzes the changes in the degree of nasal lesions and the stability of the disease changes during the treatment process to analyze the treatment effect, thereby improving the accuracy of the treatment effect analysis. At the same time, the synergistic interference of allergens during the treatment process on the treatment difficulty is analyzed to avoid the interference of the synergistic interference of allergens during the treatment process on the treatment effect evaluation, thereby further improving the accuracy of the treatment effect analysis.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions: In a first aspect, the present invention provides a method for evaluating the therapeutic effect of allergic rhinitis based on inflammation information management, comprising the following steps: S1. Obtain the inflammatory characteristics of the patient's allergic rhinitis and the characteristic data of allergens in the scene; S2. Analyze the stability of the disease based on the antibody changes in the inflammatory characteristics of the patient's allergic rhinitis; S3. Treatment analysis based on the stability analysis of patient antibody changes and changes in nasal lesions in inflammatory characteristics; S4. Obtaining allergen characteristic data in the treatment time scenario to perform allergen impact analysis and obtain allergen impact analysis results; S5. Evaluate the treatment effect based on the obtained treatment analysis results and allergen impact analysis results; S6. Provide early warning for matching treatment plans based on the obtained treatment effect evaluation results.

[0006] In one implementation of the present invention, the inflammatory characteristics of the patient's allergic rhinitis include the blood test IgE antibody level and the increase in the antibody during the treatment process, medical imaging data inside the nasal cavity during the treatment process, and the patient's corresponding periodic runny nose volume and sneezing frequency, the corresponding periodic runny nose volume and sneezing frequency are obtained through the corresponding acquisition terminal, and the allergen characteristic data in the scene include real-time content data of various allergens in the scene of the treatment process, wherein the allergen content data is collected through the allergen collection terminal, and the collected data is stored in the corresponding storage terminal.

[0007] In one implementation of the present invention, step S2 performs a stability analysis of the disease state based on the antibody changes in the inflammatory characteristics of the patient's allergic rhinitis, including the following specific steps: S21. Obtain the patient's blood test IgE antibody level and antibody increase during treatment, the patient's runny nose volume and sneezing frequency during the corresponding period, and analyze the severity of rhinitis based on the changes in the runny nose volume and sneezing frequency during the corresponding period. The formula for calculating the severity of rhinitis is: , where exp() is the power of the natural constant e, kc is the runny nose volume during the treatment period, sc is the sneeze frequency during the treatment period, kz is the runny nose volume during the treatment period, and sz is the sneeze frequency during the treatment period. In this formula, the severity of rhinitis is quantified by the runny nose volume and sneeze frequency, and then the severity of rhinitis before and after treatment is compared and analyzed to obtain the severity change of rhinitis. S22. Obtain the IgE antibody level and the increase in antibody detected in the patient's blood during treatment, and perform an abnormal antibody change analysis based on the IgE antibody level and the increase in antibody detected in the patient's blood during treatment. The calculation formula for the abnormal antibody change analysis is: , where pc is the real-time antibody level during treatment, pm is the antibody level before treatment, px is the real-time periodic antibody increase during treatment, and pxm is the standard value of antibody increase; in this step, the abnormal antibody changes during treatment are comprehensively analyzed through the comprehensive analysis of the antibody level and the real-time antibody increase; in this step, ,in, is the factor affecting antibody level, It is a factor that affects the rate of antibody change, because antibodies are infectious diseases: Allergic reactions: In allergic reactions, IgE antibody levels may increase, leading to allergic symptoms; S23. Obtain the calculated rhinitis severity analysis results and antibody abnormality analysis results, and perform a condition change stability analysis based on the rhinitis severity analysis results and antibody abnormality analysis results. The condition change stability analysis formula is: In this step, the more stable the disease condition is, the smaller the abnormal antibody change analysis result is, and the smaller the severe rhinitis change analysis result is, so the above formula is fitted based on this relationship; In one implementation of the present invention, step S3 performs treatment analysis based on the stability analysis of the patient's antibody changes and the changes in nasal lesions in the inflammatory characteristics, including the following specific steps: S31, obtaining medical imaging data of the inside of the nasal cavity during the treatment process, and obtaining a lesion image of the lesion location; S32, performing lesion abnormality analysis based on the degree of change between the lesion image at the lesion location and the normal image at the lesion location, wherein the lesion abnormality analysis method is: sum of the absolute values of the differences between the pixel values of all corresponding pixels in the two images; S33. Obtain the lesion abnormality analysis result before treatment and the real-time lesion abnormality analysis result, and compare the two to obtain the lesion treatment analysis result. The comparison method is preferably to divide the lesion abnormality analysis result before treatment by the real-time lesion abnormality analysis result. S34. Obtain the results of the condition change stability analysis and the lesion treatment analysis, and perform weighted summation to obtain the treatment analysis result. In this step, the treatment effect is analyzed based on the changes in the degree of nasal lesions and the stability of the condition changes, further improving the accuracy of the treatment effect analysis. In one implementation of the present invention, in step S4, allergen feature data in the treatment time scenario is obtained to perform allergen impact analysis, and the allergen impact analysis results obtained include the following specific contents: S41. Obtaining the content of various allergens in the treatment time scenario; S42. Obtain the impact weights of various allergens based on the impact of various allergens on patients in the past; S43. Obtain the content of various allergens in the treatment time scenario and the influence weights of various allergens, and import them into the allergen influence degree calculation formula to calculate the allergen influence degree. The allergen influence degree calculation formula is: , where T is the treatment time, R is the number of allergen types, kz is the impact weight of the z-th allergen, dt is the time integral, and fzt is the standardized concentration of the z-th allergen at treatment time t.

[0008] In this step, the difficulty of treatment is analyzed through the synergistic interference of allergens during treatment; the interference of synergistic interference of allergens during treatment on the evaluation of treatment effect is avoided; In one implementation of the present invention, step S5 performs a treatment effect evaluation based on the obtained treatment analysis results and allergen impact degree analysis results, including the following specific contents: The treatment analysis result obtained in step S3 and the allergen impact degree obtained in step S4 are obtained, and the treatment effect is obtained by dividing the standardized treatment analysis result by the standardized allergen impact degree.

[0009] In one implementation of the present invention, the step S6 of performing a matching warning for a treatment plan based on the obtained treatment effect evaluation result includes the following specific contents: The calculated treatment effect is compared with the corresponding treatment effect threshold. If the treatment effect is greater than or equal to the corresponding treatment effect threshold, it means that the treatment plan matches and the next step of treatment is continued. If the treatment effect is less than the corresponding treatment effect threshold, it means that the treatment plan does not match and a replacement warning is issued.

[0010] In a second aspect, the present invention further provides an allergic rhinitis treatment effect evaluation system based on inflammation information management, comprising: The data acquisition module is used to obtain the inflammatory characteristics of the patient's allergic rhinitis and the characteristic data of allergens in the scene; The disease state change stability analysis module analyzes the disease state change stability based on the antibody changes in the inflammatory characteristics of the patient's allergic rhinitis; The treatment analysis module conducts treatment analysis based on the stability analysis of patient antibody changes and the changes in nasal lesions in inflammatory characteristics; The allergen impact degree analysis module obtains the allergen characteristic data in the treatment time scenario to perform allergen impact degree analysis and obtain the allergen impact degree analysis results; The treatment effect evaluation module evaluates the treatment effect based on the obtained treatment analysis results and allergen impact analysis results; The matching warning module provides matching warnings for treatment plans based on the obtained treatment effect evaluation results.

[0011] In a third aspect, the present invention provides an electronic device comprising: a processor and a memory, wherein the memory stores a computer program that can be called by the processor, and the processor executes an allergic rhinitis treatment effect evaluation method based on inflammation information management by calling the computer program stored in the memory.

[0012] In a fourth aspect, the present invention provides a computer-readable storage medium storing instructions, which, when executed on a computer, enables the computer to execute a method for evaluating the therapeutic effect of allergic rhinitis based on inflammation information management.

[0013] Compared with the existing technology, this solution has the following advantages and beneficial effects: This program conducts a stability analysis of the disease state based on the antibody changes in the inflammatory characteristics of the patient's allergic rhinitis, conducts a treatment analysis based on the stability analysis of the patient's antibody changes and the changes in the nasal lesions in the inflammatory characteristics, obtains the allergen characteristic data in the treatment time scenario to analyze the degree of allergen impact, obtains the allergen impact analysis results, and evaluates the treatment effect based on the obtained treatment analysis results and the allergen impact analysis results. This program analyzes the treatment effect based on the changes in the degree of nasal lesions and the stability of the disease state during the treatment process, thereby improving the accuracy of the treatment effect analysis. At the same time, the synergistic interference of allergens during the treatment process on the treatment difficulty is analyzed to avoid the interference of the synergistic interference of allergens during the treatment process on the treatment effect evaluation, thereby further improving the accuracy of the treatment effect analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Other features, objects and advantages of the present invention will become more apparent upon reading the detailed description of non-limiting embodiments made with reference to the following drawings: Figure 1 Schematic diagram of the overall process of the method of the present invention; Figure 2 This is a workflow diagram of S2 in the method of the present invention; Figure 3 This is a workflow diagram of S3 in the method of the present invention; Figure 4 Schematic diagram of the structure of the system of the present invention. DETAILED DESCRIPTION

[0015] The technical solution of the present invention is described in detail below through the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present invention and the specific features in the embodiments are detailed descriptions of the technical solution of the present invention, rather than limitations on the technical solution of the present invention. In the absence of conflict, the embodiments of the present invention and the technical features in the embodiments can be combined with each other.

[0016] Example 1

[0017] like Figures 1 to 3 As shown, this embodiment provides a method for evaluating the therapeutic effect of allergic rhinitis based on inflammation information management, which specifically includes the following steps: S1. Obtain the inflammatory characteristics of the patient's allergic rhinitis and the characteristic data of allergens in the scene; In this embodiment, the inflammatory characteristics of the patient's allergic rhinitis include the blood test IgE antibody level and the increase in the antibody during the treatment process, medical imaging data of the nasal cavity during the treatment process, and the patient's corresponding periodic runny nose volume and sneezing frequency. Exemplarily, the medical imaging data is a medical imaging image such as CT, and the corresponding periodic runny nose volume and sneezing frequency are obtained through a corresponding acquisition terminal. The allergen characteristic data in the scene includes real-time content data of various allergens in the scene during the treatment process, wherein the allergen content data is collected through an allergen collection terminal. Exemplarily, pollutants such as particulate matter are collected through a pollutant content collection terminal, and the collected data is stored in a corresponding storage terminal. S2. Analyze the stability of the disease based on the antibody changes in the inflammatory characteristics of the patient's allergic rhinitis; In this embodiment, step S2 performs a stability analysis of the disease state based on the antibody changes in the inflammatory characteristics of the patient's allergic rhinitis, including the following specific steps: S21. Obtain the patient's blood test IgE antibody level and antibody increase during treatment, the patient's runny nose volume and sneezing frequency during the corresponding period, and analyze the severity of rhinitis based on the changes in the runny nose volume and sneezing frequency during the corresponding period. The formula for calculating the severity of rhinitis is: , where exp() is the power of the natural constant e, kc is the runny nose volume during the treatment period, sc is the sneeze frequency during the treatment period, kz is the runny nose volume during the treatment period, and sz is the sneeze frequency during the treatment period. In this formula, the severity of rhinitis is quantified by the runny nose volume and sneeze frequency, and then the severity of rhinitis before and after treatment is compared and analyzed to obtain the severity change of rhinitis. For example, if the patient's runny nose volume in the corresponding period before treatment is 20 ml, and the sneezing frequency in the corresponding period before treatment is 15 times per minute, and the patient's runny nose volume in the corresponding period after treatment is 5 ml, and the sneezing frequency in the corresponding period after treatment is 3 times per minute, the calculated change in rhinitis severity is 0.3867: S22. Obtain the IgE antibody level and the increase in antibody detected in the patient's blood during treatment, and perform an abnormal antibody change analysis based on the IgE antibody level and the increase in antibody detected in the patient's blood during treatment. The calculation formula for the abnormal antibody change analysis is: , where pc is the real-time antibody level during treatment, pm is the antibody level before treatment, px is the real-time periodic antibody increase during treatment, and pxm is the standard value of antibody increase; in this step, the abnormal antibody changes during treatment are comprehensively analyzed through the comprehensive analysis of the antibody level and the real-time antibody increase; in this step, ,in, is the factor affecting antibody level, is the factor affecting the rate of antibody change, because antibody infectious diseases: allergic reactions: in allergic reactions, IgE antibody levels may increase, leading to allergic symptoms. In this embodiment, the antibody level influencing factor is preferably 0.8, and the antibody change rate influencing factor is 0.4; S23. Obtain the calculated rhinitis severity analysis results and antibody abnormality analysis results, and perform a condition change stability analysis based on the rhinitis severity analysis results and antibody abnormality analysis results. The condition change stability analysis formula is: In this step, the more stable the disease condition is, the smaller the abnormal antibody change analysis result is, and the smaller the severe rhinitis change analysis result is, so the above formula is fitted based on this relationship; It should be noted that the above steps are to obtain the treatment effect of the disease by comparing the antibody changes with the severity of rhinitis; S3. Treatment analysis based on the stability analysis of patient antibody changes and changes in nasal lesions in inflammatory characteristics; In this embodiment, step S3 performs treatment analysis based on the stability analysis of the patient's antibody changes and the changes in nasal lesions in the inflammatory characteristics, including the following specific steps: S31, obtaining medical imaging data of the inside of the nasal cavity during the treatment process, and obtaining a lesion image of the lesion location; S32, performing lesion abnormality analysis based on the degree of change between the lesion image at the lesion location and the normal image at the lesion location, wherein the lesion abnormality analysis method is: sum of the absolute values of the differences between the pixel values of all corresponding pixels in the two images; S33. Obtain the lesion abnormality analysis result before treatment and the real-time lesion abnormality analysis result, and compare the two to obtain the lesion treatment analysis result. The comparison method is preferably to divide the lesion abnormality analysis result before treatment by the real-time lesion abnormality analysis result. S34. Obtain the results of the condition change stability analysis and the lesion treatment analysis, and perform weighted summation to obtain the treatment analysis result. In this step, the treatment effect is analyzed based on the changes in the degree of nasal lesions and the stability of the condition changes, further improving the accuracy of the treatment effect analysis. S4. Obtaining allergen characteristic data in the treatment time scenario to perform allergen impact analysis and obtain allergen impact analysis results; In this embodiment, in step S4, allergen feature data in the treatment time scenario is obtained to perform allergen impact analysis, and the allergen impact analysis results are obtained, including the following specific contents: S41. Obtaining the content of various allergens in the treatment time scenario; S42. Obtaining the impact weights of various allergens based on the impact of various allergens on patients in the past. Specifically, the following method is used: obtaining the patient's corresponding periodic runny nose volume and sneezing frequency under the influence of various allergen concentrations, multiplying the two to calculate the patient's severity; importing the patient's severity under the influence of various allergen concentrations into fitting software, performing data fitting to output the severity of the patient affected by the change in each allergen concentration that meets the maximum severity judgment accuracy; superimposing the severity of the patient affected by the change in each allergen concentration; and obtaining the impact weights of various allergens based on the superimposed severity of the patient affected by the change in each allergen concentration; S43. Obtain the content of various allergens in the treatment time scenario and the influence weights of various allergens, and import them into the allergen influence degree calculation formula to calculate the allergen influence degree. The allergen influence degree calculation formula is: , where T is the treatment time, R is the number of allergen types, kz is the influence weight of the z-th allergen, dt is the time integral, and fzt is the standardized concentration of the z-th allergen at treatment time t; For example, the standardized concentration here is the concentration after removing the unit, and the standardization method can be divided by a pre-set standard concentration; In this step, the difficulty of treatment is analyzed through the synergistic interference of allergens during treatment; the interference of synergistic interference of allergens during treatment on the evaluation of treatment effect is avoided; S5. Evaluate the treatment effect based on the obtained treatment analysis results and allergen impact analysis results; In this embodiment, step S5 performs a treatment effect evaluation based on the obtained treatment analysis results and allergen impact degree analysis results, including the following specific contents: Obtaining the treatment analysis result obtained in step S3 and the allergen impact degree obtained in step S4, and dividing the standardized treatment analysis result by the standardized allergen impact degree to obtain the treatment effect; S6. Providing early warning for matching treatment plans based on the obtained treatment effect evaluation results; In this embodiment, step S6 performs a matching warning of the treatment plan based on the obtained treatment effect evaluation result, including the following specific contents: Compare the calculated treatment effect with the corresponding treatment effect threshold. If the treatment effect is greater than or equal to the corresponding treatment effect threshold, it means that the treatment plan matches and the next step of treatment will be continued. If the treatment effect is less than the corresponding treatment effect threshold, it means that the treatment plan does not match and a warning of replacement will be issued; It should be emphasized that in order to protect the privacy of patients, all data in this embodiment are stored in a storage module with an encryption protocol; It should also be noted that the values of the setting parameters in this embodiment are obtained through fitting of historical data. The acquisition method is: obtaining the inflammatory characteristics of allergic rhinitis of historical patients, and at the same time obtaining the allergen characteristic data in the scene and substituting it into this embodiment to evaluate the treatment effect, and at the same time obtaining the judgment result of whether the rhinitis has worsened after treatment, importing the evaluation result of the treatment effect and the judgment result of whether the rhinitis has worsened into the fitting software, and outputting the value of the setting parameter that meets the maximum judgment accuracy.

[0018] Example 2

[0019] like Figure 4 As shown, this embodiment provides an allergic rhinitis treatment effect evaluation system based on inflammation information management, including: The data acquisition module is used to obtain the inflammatory characteristics of the patient's allergic rhinitis and the characteristic data of allergens in the scene; The disease state change stability analysis module analyzes the disease state change stability based on the antibody changes in the inflammatory characteristics of the patient's allergic rhinitis; The treatment analysis module conducts treatment analysis based on the stability analysis of patient antibody changes and the changes in nasal lesions in inflammatory characteristics; The allergen impact degree analysis module obtains the allergen characteristic data in the treatment time scenario to perform allergen impact degree analysis and obtain the allergen impact degree analysis results; The treatment effect evaluation module evaluates the treatment effect based on the obtained treatment analysis results and allergen impact analysis results; The matching warning module provides matching warnings for treatment plans based on the obtained treatment effect evaluation results.

[0020] For the above-mentioned parameters and steps for each unit module to realize corresponding functions and corresponding effects in the allergic rhinitis treatment effect evaluation system based on inflammation information management of the present invention, reference can be made to the parameters and steps in the embodiment of the allergic rhinitis treatment effect evaluation method based on inflammation information management above, and no further details will be given here.

[0021] Example 3

[0022] An electronic device according to an embodiment of the present invention includes a processor and a memory, wherein the memory stores a computer program callable by the processor. The processor executes a method for evaluating the therapeutic effect of allergic rhinitis based on inflammation information management by calling the computer program stored in the memory. It should be noted that all computer programs in the method for evaluating the therapeutic effect of allergic rhinitis based on inflammation information management are implemented in the C language.

[0023] Example 4

[0024] This embodiment provides a computer-readable storage medium having a rewritable computer program stored thereon; When the computer program is executed on a computer device, the computer device is caused to execute the above-mentioned method for evaluating the therapeutic effect of allergic rhinitis based on inflammation information management.

[0025] The various embodiments of the present invention are described in a progressive manner. Similar portions between the various embodiments can be referred to in conjunction with each other. Each embodiment focuses on the differences between the other embodiments. In particular, the IoT device and medium embodiments are generally similar to the method embodiments, so their description is relatively simple. For relevant portions, refer to the description of the method embodiments.

[0026] The system and medium provided in the embodiments of the present invention correspond one-to-one to the method. Therefore, the system and medium also have similar beneficial technical effects to their corresponding methods. Since the beneficial technical effects of the method have been described in detail above, the beneficial technical effects of the system and medium will not be repeated here.

[0027] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0028] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0029] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0030] In a typical configuration, a computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0031] Memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.

[0032] Computer-readable media includes permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. The information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory computer-readable media (transitory media), such as modulated data signals and carrier waves.

[0033] It should also be noted that the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, commodity, or apparatus that includes a series of elements includes not only those elements but also other elements not explicitly listed, or includes elements inherent to such process, method, commodity, or apparatus. In the absence of further limitations, an element defined by the phrase "comprises a ..." does not exclude the presence of other identical elements in the process, method, commodity, or apparatus that includes the element.

[0034] The basic principles, main features, and advantages of the present invention are shown and described above. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions are merely illustrative of the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and modifications are intended to fall within the scope of the present invention. The scope of protection claimed in the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for evaluating the therapeutic effect of allergic rhinitis based on inflammation information management, characterized in that: The steps include: S1. Obtain the inflammatory characteristics of the patient's allergic rhinitis and the characteristic data of allergens in the scene; S2. Analyze the stability of the disease based on the antibody changes in the inflammatory characteristics of the patient's allergic rhinitis; S3. Treatment analysis based on the stability analysis of patient antibody changes and changes in nasal lesions in inflammatory characteristics; S4. Obtaining allergen characteristic data in the treatment time scenario to perform allergen impact analysis and obtain allergen impact analysis results; S5. Evaluate the treatment effect based on the obtained treatment analysis results and allergen impact analysis results; S6. Provide early warning for matching treatment plans based on the obtained treatment effect evaluation results.

2. The method for evaluating the therapeutic effect of allergic rhinitis based on inflammation information management according to claim 1, characterized in that: In step S2, the stability analysis of the disease state change is performed based on the antibody changes in the inflammatory characteristics of the patient's allergic rhinitis, including the following specific steps: Obtain the patient's blood test IgE antibody level and antibody increase during treatment, as well as the patient's runny nose volume and sneezing frequency during the corresponding period. Analyze the severity of rhinitis based on the changes in runny nose volume and sneezing frequency during the corresponding period. Obtaining the IgE antibody level and the increase in the antibody during the patient's blood test during treatment, and performing abnormal antibody change analysis based on the IgE antibody level and the increase in the antibody during the patient's blood test during treatment; The calculated analysis results of the severity of rhinitis changes and the abnormal antibody change analysis results are obtained, and the stability analysis of the disease change is performed based on the analysis results of the severity of rhinitis changes and the abnormal antibody change analysis results.

3. The method for evaluating the therapeutic effect of allergic rhinitis based on inflammation information management according to claim 2, characterized in that: In step S3, treatment analysis is performed based on the stability analysis of the patient's antibody changes and the changes in nasal lesions in the inflammatory characteristics, including the following specific steps: Acquire medical imaging data of the inside of the nasal cavity during treatment and obtain lesion images of the lesion location; Performing lesion abnormality analysis based on the degree of change between the lesion image at the lesion location and the normal image at the lesion location, wherein the lesion abnormality analysis method is: sum of the absolute values of the differences between the pixel values of all corresponding pixel points of the two images; Obtaining a pre-treatment lesion abnormality analysis result and a real-time lesion abnormality analysis result, and comparing the two to obtain a lesion treatment analysis result, wherein the comparison method is preferably to divide the pre-treatment lesion abnormality analysis result by the real-time lesion abnormality analysis result; Obtain the results of the disease condition change stability analysis and the lesion treatment analysis, and perform weighted summation to obtain the treatment analysis results.

4. The method for evaluating the therapeutic effect of allergic rhinitis based on inflammation information management according to claim 3, characterized in that: In step S4, the allergen characteristic data in the treatment time scenario is obtained to perform an allergen impact analysis, and the allergen impact analysis results are obtained, including the following specific contents: Obtain the content of various allergens in the treatment time scenario; Obtain the impact weights of various allergens based on the impact of various allergens on patients in the past; Obtain the content of various allergens in the treatment time scenario and the influence weights of various allergens and import them into the allergen influence degree calculation formula to calculate the allergen influence degree. The allergen influence degree calculation formula is: , where T is the treatment time, R is the number of allergen types, kz is the impact weight of the z-th allergen, dt is the time integral, and fzt is the standardized concentration of the z-th allergen at treatment time t.

5. The method for evaluating the therapeutic effect of allergic rhinitis based on inflammation information management according to claim 4, characterized in that: In step S5, the treatment effect evaluation is performed based on the obtained treatment analysis results and the allergen impact degree analysis results, including the following specific contents: The treatment analysis result obtained in step S3 and the allergen impact degree obtained in step S4 are obtained, and the treatment effect is obtained by dividing the standardized treatment analysis result by the standardized allergen impact degree.

6. The method for evaluating the therapeutic effect of allergic rhinitis based on inflammation information management according to claim 2, characterized in that: In step S6, a matching warning of a treatment plan is performed based on the obtained treatment effect evaluation result, including the following specific contents: The calculated treatment effect is compared with the corresponding treatment effect threshold. If the treatment effect is greater than or equal to the corresponding treatment effect threshold, it means that the treatment plan matches and the next step of treatment is continued. If the treatment effect is less than the corresponding treatment effect threshold, it means that the treatment plan does not match and a replacement warning is issued.

7. The method for evaluating the therapeutic effect of allergic rhinitis based on inflammation information management according to claim 6, characterized in that: The inflammatory characteristics of the patient's allergic rhinitis include the blood test IgE antibody level and the increase in antibodies during the treatment process, medical imaging data inside the nasal cavity during the treatment process, and the patient's corresponding periodic runny nose and sneezing frequency. The allergen characteristic data in the scene includes real-time content data of various allergens in the scene during the treatment process. The collected data is stored in the corresponding storage terminal.

8. The method for evaluating the therapeutic effect of allergic rhinitis based on inflammation information management according to claim 7, characterized in that: The calculation formula for the severity change of rhinitis is: , where exp() is the power of the natural constant e, kc is the runny nose volume of the real-time cycle during the treatment process, sc is the sneezing frequency of the real-time cycle during the treatment process, kz is the runny nose volume of the corresponding cycle before treatment, and sz is the sneezing frequency of the corresponding cycle before treatment.

9. An allergic rhinitis treatment effect evaluation system based on inflammation information management, which is implemented based on the allergic rhinitis treatment effect evaluation method based on inflammation information management according to any one of claims 1 to 8, characterized in that: The system comprises: The data acquisition module is used to obtain the inflammatory characteristics of the patient's allergic rhinitis and the characteristic data of allergens in the scene; The disease state change stability analysis module analyzes the disease state change stability based on the antibody changes in the inflammatory characteristics of the patient's allergic rhinitis; The treatment analysis module conducts treatment analysis based on the stability analysis of patient antibody changes and the changes in nasal lesions in inflammatory characteristics; The allergen impact degree analysis module obtains the allergen characteristic data in the treatment time scenario to perform allergen impact degree analysis and obtain the allergen impact degree analysis results; The treatment effect evaluation module evaluates the treatment effect based on the obtained treatment analysis results and allergen impact analysis results; The matching warning module provides matching warnings for treatment plans based on the obtained treatment effect evaluation results.

10. An electronic device comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; characterized in that the processor executes the allergic rhinitis treatment effect evaluation method based on inflammation information management as described in any one of claims 1 to 8 by calling the computer program stored in the memory.

Images