Medical Evaluation System and Method for Infectious and Endemic Disease Patients Based on Feature Analysis

Abstract

The present invention relates to the technical field of healthcare systems, and particularly to a medical evaluation system and method for infectious and endemic disease patients based on feature analysis. The present invention performs disease condition matching analysis based on the stable operation data in the disease condition data of patients during examinations and the equipment operation data of medical examinations, performs infectious anomaly analysis based on the infectious characteristic data of infectious diseases and the virus disinfection level data in the equipment operation data of medical examinations, and performs medical equipment inspection evaluation based on the results of the disease condition matching analysis and the infectious anomaly analysis. This application comprehensively performs medical equipment inspection matching analysis based on the results of the disease condition matching analysis and the infectious anomaly analysis, and can reasonably arrange the use of medical equipment according to the disease conditions and infection risks of patients. For patients with severe diseases and high infectivity, they are preferentially arranged for examinations on equipment with good virus disinfection conditions to avoid cross-infection.

Description

Technical Field

[0001] The present invention relates to the technical field of healthcare systems, and particularly to a medical evaluation system and method for infectious and endemic disease patients based on feature analysis. Background Art

[0002] During the epidemic of infectious diseases, blocking between regions can effectively avoid the spread of infectious diseases, but at the same time, it will also bring certain pressure to the economy of each region. Therefore, how to predict the input risk of infectious diseases in each region is extremely important for the prevention of infectious diseases in each region. For medical examination instruments, how to select appropriate examination instruments for patients with severe conditions and high infectivity is an urgent problem to be solved. In the prior art, when performing medical examinations, patients usually just wait in line for examinations, and it is impossible to reasonably arrange the use of medical equipment according to the patient's condition and infection risk, which is likely to lead to the spread of infectious diseases caused by improper use of equipment or incomplete virus disinfection.

[0003] For example, in the Chinese patent with the application publication number CN113724847A, a medical resource allocation method, device, terminal device and medium based on artificial intelligence are disclosed. According to the historical diagnosis and treatment data of patients seeking medical treatment in N regions, the patients seeking medical treatment corresponding to the target syndrome in each region and their medical treatment time are obtained, and the growth trend of the number of patients corresponding to the target syndrome in each region at a future time is predicted. Then, according to the growth trend of the number of patients corresponding to the target syndrome in each region, the allocation index of medical resources for the target syndrome in each region is obtained. Furthermore, when the growth trend of the number of patients in the region is relatively large, the medical resources corresponding to the target syndrome in the region, such as doctor resources, medical device resources, etc., can be increased to realize the prediction and on-demand allocation of medical resources, make preparations for medical resource allocation in advance, reduce the situation where medical resources cannot keep up with medical needs, and improve the medical treatment efficiency of patients seeking medical treatment. However, it does not solve the problem of how to select appropriate examination instruments for patients with severe conditions and high infectivity.

[0004] To solve these problems, the present application designs a medical evaluation system and method for infectious and endemic disease patients based on feature analysis. Summary of the Invention

[0005] In order to overcome the defects and deficiencies of the existing technology, the present invention provides a medical evaluation system and method for infectious and endemic disease patients based on feature analysis, which performs disease condition matching analysis based on the stable operation data in the disease condition data of patients during examinations and the equipment operation data of medical examinations, performs infectious anomaly analysis based on the infectious characteristic data of infectious diseases and the virus disinfection level data in the equipment operation data of medical examinations, and performs medical equipment inspection evaluation based on the results of disease condition matching analysis and infectious anomaly analysis. This application comprehensively performs medical equipment inspection matching analysis based on the results of disease condition matching analysis and infectious anomaly analysis, and can reasonably arrange the use of medical equipment according to the disease condition and infection risk of patients. For patients with severe diseases and high infectivity, they are preferentially arranged for examinations on equipment with good virus disinfection conditions to avoid cross-infection; for patients with milder diseases and lower infection risks, they can be reasonably allocated to other equipment for examinations to improve the utilization efficiency of the equipment and achieve the optimal allocation of medical resources.

[0006] To achieve the above object, the present invention adopts the following technical solutions:

[0007] In the first aspect, the present invention provides a medical evaluation method for infectious and endemic disease patients based on feature analysis, including the following steps:

[0008] S1. Obtain the infectious characteristic data of infectious diseases, and at the same time obtain the disease condition data of patients during examinations and the equipment operation data of medical examinations;

[0009] S2. Perform disease condition matching analysis based on the stable operation data in the disease condition data of patients during examinations and the equipment operation data of medical examinations;

[0010] S3. Perform infectious anomaly analysis based on the infectious characteristic data of infectious diseases and the virus disinfection level data in the equipment operation data of medical examinations;

[0011] S4. Perform medical equipment inspection evaluation based on the results of disease condition matching analysis and infectious anomaly analysis;

[0012] S5. Judge whether the medical equipment matches the patient according to the medical equipment inspection evaluation result, and perform equipment replacement.

[0013] In an implementation manner of the present invention, the infectious characteristic data of infectious diseases in step S1 includes the infectious characteristic data of the infectious virus carried by the patient, including the infectious distance, the patient's infection level, and the transmission environment data of the infectious virus. The disease condition data of the patient during examinations in step S1 includes the physical data of the patient. Among them, the physical data is, for example, data such as body temperature, blood pressure, and heart rate. The equipment operation data of medical examinations in step S1 includes equipment operation data, equipment radiation damage data, and the anti-virus level data of equipment materials.

[0014] In an implementation manner of the present invention, in step S2, disease condition matching analysis is performed based on the disease condition data of the patient during the examination and the stable operation data in the device operation data of the medical examination, including the following specific steps:

[0015] S21. Analyze the physical condition abnormality of the patient based on the physical condition data in the disease condition data of the patient during the examination. Among them, the analysis method of the physical condition abnormality of the patient is: obtain the gap between each parameter in the physical condition data within a set period and the safety range of the corresponding parameter, perform weighted summation to obtain the physical condition abnormality at the corresponding moment, and perform weighted summation based on the average value and fluctuation condition of the physical condition abnormality at each moment within the set period to obtain the physical condition abnormality analysis value;

[0016] S22. Evaluate the abnormality of the device inspection based on the device operation data and the device radiation damage data.

[0017] S23. Evaluate the disease condition matching based on the device operation stability, the physical condition abnormality analysis value, and the device radiation damage data.

[0018] In an implementation manner of the present invention, in step S3, infection abnormality analysis is performed based on the infection characteristic data of the infectious disease and the virus disinfection level data in the device operation data of the medical examination, including the following specific steps:

[0019] S31. Obtain the transmission environment data of the infectious virus and the environmental data during the examination, and perform environmental impact analysis based on the transmission environment data of the infectious virus and the environmental data during the examination;

[0020] S32. Obtain the infection level of the patient, the infection distance, and the anti-virus level data of the device material for virus transmission analysis. Among them, the virus transmission analysis formula is: , where Hz is the infection level, Hx is the antiviral level of the device material, Ls is the average distance between the patient and the device during the test, and Lm is the infection distance of the virus. The infection level of the patient is based on the ratio of the virus density in the patient's body to the safety density. The virus density in the patient's body refers to the number of virus particles contained in a specific volume of biological samples (such as blood, sputum, throat swabs, etc.). The antiviral level of the device material is divided into: Level 3: It has a high antiviral performance against multiple viruses, with an antiviral activity rate reaching over 95% and a short action time. It can be used for components that are in close contact with the human body, such as the outer shell of medical devices and protective face masks, which have high requirements for virus protection; Level 2: The antiviral activity rate is between 80% - 95%. It can better inhibit the survival and transmission of viruses on the material surface and can be used for general daily necessities, the outer shell of electronic devices, etc.; Level 1: The antiviral activity rate is between 60% - 80%. It has a certain antiviral ability and is suitable for plastic products with relatively low requirements for virus protection. For the average distance between the patient and the device during the test, since the patient will move during the test and the distance from the detection device at each moment is different, the average distance from the device at each moment is taken here. ts is the detection duration, and Ts is the safety duration;

[0021] S33. Obtain the calculated virus transmission analysis result and environmental impact analysis result for abnormal infection analysis;

[0022] In this step, through the transmission characteristics of the virus, the contact characteristics during the detection process, and the antiviral characteristics of the device, a comprehensive assessment of the virus transmission risk during the detection process is carried out. At the same time, considering the impact of the environment on virus transmission, a comprehensive assessment of abnormal virus infection during the detection process is carried out.

[0023] In an implementation manner of the present invention, the medical device inspection and evaluation based on the disease matching analysis result and the abnormal infection analysis result in step S4 includes the following specific steps:

[0024] S41. Obtain the calculated disease matching assessment result and the abnormal infection analysis result, and take the reciprocal of the abnormal infection analysis result to obtain the normal infection assessment result;

[0025] S42. Perform weighted summation of the obtained normal infection assessment result and the disease matching assessment result to obtain the medical device inspection and evaluation result.

[0026] In an implementation manner of the present invention, in step S5, judging whether the medical device matches the patient according to the medical device inspection and evaluation result and performing device replacement includes the following specific contents:

[0027] S51. Compare the medical device inspection and evaluation results with the set medical device inspection and evaluation threshold. If the medical device inspection and evaluation results are greater than or equal to the set medical device inspection and evaluation threshold, it indicates that the medical device matches the patient, and medical staff can use the corresponding medical device to conduct medical examinations on the patient. If the medical device inspection and evaluation results are less than the set medical device inspection and evaluation threshold, it indicates that the medical device does not match the patient, and the medical device needs to be replaced;

[0028] S52. Transmit the analysis results to medical personnel in a wired or wireless manner.

[0029] In a second aspect, the present invention also provides a medical evaluation system for infectious and endemic disease patients based on feature analysis, including:

[0030] A data acquisition module for acquiring the infectious characteristics data of infectious diseases, simultaneously acquiring the patient's condition data during the examination, and the device operation data of medical examinations;

[0031] A condition matching analysis module for performing condition matching analysis based on the stable operation data among the patient's condition data during the examination and the device operation data of medical examinations;

[0032] An infection anomaly analysis module for performing infection anomaly analysis based on the infectious characteristics data of infectious diseases and the virus disinfection level data among the device operation data of medical examinations;

[0033] A device inspection and evaluation module for performing medical device inspection and evaluation based on the condition matching analysis results and the infection anomaly analysis results;

[0034] A judgment module for judging whether the medical device matches the patient according to the medical device inspection and evaluation results and performing device replacement.

[0035] In a third aspect, an electronic device provided by the present invention includes: a processor and a memory. Among them, the memory stores a computer program that can be called by the processor, and the processor executes the medical evaluation method for infectious and endemic disease patients based on feature analysis by calling the computer program stored in the memory.

[0036] In a fourth aspect, a computer-readable storage medium provided by the present invention stores instructions, and when the instructions run on a computer, the computer is caused to execute the medical evaluation method for infectious and endemic disease patients based on feature analysis.

[0037] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0038] The present invention conducts disease matching analysis based on the disease condition data of patients during examinations and the stable operation data among the device operation data of medical examinations, conducts infectious anomaly analysis based on the infectious characteristic data of infectious diseases and the virus disinfection level data among the device operation data of medical examinations, conducts medical device inspection evaluation based on the results of disease matching analysis and infectious anomaly analysis. This application comprehensively conducts medical device inspection matching analysis based on the results of disease matching analysis and infectious anomaly analysis, and can reasonably arrange the use of medical devices according to the patient's condition and infection risk. For patients with severe conditions and high infectivity, they are preferentially arranged for examinations on devices with good virus disinfection conditions to avoid cross-infection; for patients with milder conditions and lower infection risks, they can be reasonably assigned to other devices for examinations to improve the utilization efficiency of the devices and achieve the optimal allocation of medical resources;

[0039] Through comprehensive analysis, it can ensure that the use of medical devices meets the requirements of infectious disease prevention and control, safeguard the safety of patients and medical staff, and avoid the spread of infectious diseases caused by improper use of devices or incomplete virus disinfection during the examination process, providing strong guarantee for the smooth progress of medical work. At the same time, it also helps to improve the overall management level and medical quality of the hospital. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] By reading the detailed description of the non-limiting embodiments with reference to the following drawings, other features, objectives and advantages of the present invention will become more obvious:

[0041] Figure 1 It is a schematic diagram of the overall process flow of the method of the present invention;

[0042] Figure 2 It is a working flowchart of S2 in the method of the present invention;

[0043] Figure 3 It is a working flowchart of S3 in the method of the present invention;

[0044] Figure 4 It is a technical route flowchart of the method of the present invention;

[0045] Figure 5 It is a schematic diagram of the structure of the system of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0046] The technical solution of the present invention will be described in detail below through the 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. Without conflict, the technical features in the embodiments of the present invention and the embodiments can be combined with each other.

[0047] Embodiment 1

[0048] Here, the scenario of this embodiment is specifically described. When this embodiment is implemented, it corresponds to the scenario where patients carrying infectious viruses need to undergo medical device examinations (such as CT or fluoroscopy, etc.). According to the patient's condition and infection risk, the use of medical devices can be reasonably arranged. For patients with severe conditions and high infectivity, they are preferentially arranged for examinations on devices with good virus disinfection conditions to avoid cross-infection; for patients with milder conditions and lower infection risks, they can be reasonably allocated to other devices for examinations to improve the utilization efficiency of the devices and achieve the optimal allocation of medical resources;

[0049] Such as Figure 1 、 Figure 2 、 Figure 3 and Figure 4 As shown, this embodiment provides a medical evaluation method for patients with infectious diseases and endemic diseases based on feature analysis, which specifically includes the following steps:

[0050] S1. Obtain the infectious characteristic data of infectious diseases, and at the same time obtain the patient's condition data during the examination and the device operation data of the medical examination;

[0051] In this embodiment, the infectious characteristic data of infectious diseases in step S1 includes the infectious characteristic data of the infectious virus carried by the patient, including the infectious distance, the patient's infection level, and the transmission environment data of the infectious virus. The patient's condition data during the examination in step S1 includes the patient's physical data. Among them, the physical data includes data such as body temperature, blood pressure, and heart rate. The device operation data of the medical examination in step S1 includes device operation data, device radiation damage data, and the anti-virus level data of the device materials; in this embodiment, each corresponding parameter is collected by a collection terminal with a confidentiality agreement. For example, the physical data can be collected by a physical data collection terminal;

[0052] S2. Perform disease matching analysis based on the stable operation data in the patient's condition data during the examination and the device operation data of the medical examination;

[0053] In this embodiment, the disease matching analysis based on the stable operation data in the patient's condition data during the examination and the device operation data of the medical examination in step S2 includes the following specific steps:

[0054] S21. Analyze the patient's physical abnormality based on the physical data in the patient's condition data during the examination. Among them, the analysis method of the patient's physical abnormality is: obtain the gap between each parameter in the physical data and the corresponding parameter safety range within a set period, perform weighted summation to obtain the physical abnormality at the corresponding moment, and perform weighted summation based on the average value and fluctuation of the physical abnormality at each moment within the set period to obtain the physical abnormality analysis value. Among them, the calculation formula of the physical abnormality analysis value can be: , where T is the cycle duration, xt is the physical abnormality at time t, and x(t - 1) is the physical abnormality at time t - 1. Here, is the difference value between the physical abnormality at time t and the physical abnormality at time t - 1, and after integration, it represents the fluctuation of the physical abnormality in the set cycle. And among them, is the proportion weight of physical abnormality, is the proportion weight of physical fluctuation;

[0055] S22. Conduct equipment inspection abnormality assessment based on equipment operation data and equipment radiation damage data. Among them, the equipment inspection abnormality assessment includes the following specific steps:

[0056] Obtain equipment operation data within a set cycle and conduct equipment operation stability assessment. Among them, the equipment operation stability assessment method is: , where ct is the equipment operation abnormality at time t and c(t - 1) is the equipment operation abnormality at time t - 1, is the proportion of operation fluctuation, is the proportion of operation abnormality; among them, the equipment operation abnormality analysis method is: obtain the difference between the equipment operation data at the corresponding time and the standard operation data, and after standardization, perform weighted summation to obtain the equipment operation abnormality at the corresponding time;

[0057] S23. Conduct disease matching assessment based on equipment operation stability, physical abnormality analysis value, and equipment radiation damage data. Among them, the disease matching assessment calculation formula is: , where Eh is the radiation intensity generated during equipment operation and Em is the radiation safety intensity;

[0058] S3. Conduct infection abnormality analysis based on the infection characteristic data of infectious diseases and the virus disinfection level data in the equipment operation data of medical examinations;

[0059] In this embodiment, the infection abnormality analysis based on the infection characteristic data of infectious diseases and the virus disinfection level data in the equipment operation data of medical examinations in step S3 includes the following specific steps:

[0060] S31. Obtain the transmission environment data of the infectious virus and the environmental data during the examination, and conduct environmental impact analysis based on the transmission environment data of the infectious virus and the environmental data during the examination. Among them, the environmental impact analysis formula is: , where n is the type of environmental impact, fi is the impact coefficient of the i-th environment, Li is the value of the i-th environmental type during detection, Lim is the median of the growth suitable range of the i-th growth environment of the infectious virus, Limax is the maximum value of the growth suitable range of the i-th growth environment of the infectious virus, and Limin is the minimum value of the growth suitable range of the i-th growth environment of the infectious virus;

[0061] S32. Obtain the infection level of the patient, the transmission distance of the virus, and the antiviral level data of the equipment materials for virus transmission analysis. The virus transmission analysis formula is as follows: , where Hz is the infection level, Hx is the antiviral level of the equipment materials, Ls is the average distance between the patient and the equipment during the test, and Lm is the transmission distance of the virus. The infection level of the patient is based on the ratio of the virus density in the patient's body to the safety density. The virus density in the patient's body refers to the number of virus particles contained in a specific volume of biological samples (such as blood, sputum, throat swabs, etc.). The antiviral level of the equipment materials is divided into: Level 3: Having a high antiviral performance against multiple viruses, with an antiviral activity rate reaching more than 95% and a short action time, and can be used for components in close contact with the human body such as the outer shell of medical equipment and protective face masks, which have high requirements for virus protection; Level 2: The antiviral activity rate is between 80% - 95%, which can better inhibit the survival and transmission of viruses on the material surface, and can be used for general daily necessities, the outer shell of electronic equipment, etc.; Level 1: The antiviral activity rate is between 60% - 80%, having a certain antiviral ability, and is suitable for plastic products with relatively low requirements for virus protection; For the average distance between the patient and the equipment during the test, since the patient will move during the test and the distance from the detection equipment at each moment is different, the average distance from the equipment at each moment is taken here. ts is the detection duration, and Ts is the safety duration;

[0062] S33. Obtain the calculated virus transmission analysis result and the environmental impact analysis result for abnormal infection analysis. The abnormal infection analysis formula is as follows: ;

[0063] In this step, through the transmission characteristics of the virus, the contact characteristics during the detection process, and the antiviral characteristics of the equipment, the virus transmission risk during the detection process is comprehensively evaluated. At the same time, considering the impact of the environment on virus transmission, the abnormal virus infection during the detection process is comprehensively evaluated;

[0064] S4. Conduct a medical equipment inspection evaluation based on the disease matching analysis result and the abnormal infection analysis result;

[0065] In this embodiment, the medical equipment inspection evaluation based on the disease matching analysis result and the abnormal infection analysis result in step S4 includes the following specific steps:

[0066] S41. Obtain the calculated disease matching evaluation result and the abnormal infection analysis result, and take the reciprocal of the abnormal infection analysis result to obtain the normal infection evaluation result;

[0067] S42. Perform a weighted sum of the obtained normal infection evaluation result and the disease matching evaluation result to obtain the medical equipment inspection evaluation result;

[0068] S5. Determine whether the medical device matches the patient based on the inspection and evaluation results of the medical device, and replace the device; in this embodiment, in step S5, determining whether the medical device matches the patient based on the inspection and evaluation results of the medical device and replacing the device includes the following specific contents:

[0069] S51. Compare the inspection and evaluation results of the medical device with the set inspection and evaluation threshold of the medical device. If the inspection and evaluation results of the medical device are greater than or equal to the set inspection and evaluation threshold of the medical device, it means that the medical device matches the patient, and the medical staff can use the corresponding medical device to conduct medical examinations on the patient. If the inspection and evaluation results of the medical device are less than the set inspection and evaluation threshold of the medical device, it means that the medical device does not match the patient, and the medical device needs to be replaced;

[0070] S52. Transmit the analysis result to the medical staff in a wired or wireless manner.

[0071] It should be noted that the acquisition method of the set parameters (such as weights and thresholds) in this embodiment is obtained through experiments by those skilled in the art. The specific experimental method is as follows: Obtain the infectious characteristic data of multiple historical infectious diseases, and at the same time obtain the patient's condition data during the examination and the device operation data of the medical examination, substitute them into each step of this embodiment for evaluating the inspection and evaluation results of the medical device, and at the same time obtain the judgment result of whether a medical accident occurs during these inspections. Import the judgment result of whether a medical accident occurs during the historical inspection process and the inspection and evaluation results of the medical device into the fitting software for continuous fitting to obtain the values of the set parameters (such as weights and thresholds) that meet the highest judgment accuracy rate of medical accidents.

[0072] It should be noted that this embodiment has the following advantages. Disease condition matching analysis is carried out based on the stable operation data among the disease condition data of the patient during the examination and the operation data of the medical examination equipment. Infection anomaly analysis is carried out based on the infection characteristic data of infectious diseases and the virus disinfection level data among the operation data of the medical examination equipment. Medical equipment inspection evaluation is carried out based on the results of the disease condition matching analysis and the infection anomaly analysis. This application comprehensively carries out medical equipment inspection matching analysis based on the results of the disease condition matching analysis and the infection anomaly analysis. It is possible to reasonably arrange the use of medical equipment according to the patient's disease condition and infection risk. For patients with severe diseases and high infectivity, they are preferentially arranged for examination on equipment with good virus disinfection conditions to avoid cross-infection. For patients with milder diseases and lower infection risks, they can be reasonably assigned to other equipment for examination to improve the utilization efficiency of the equipment and achieve the optimal allocation of medical resources. Through comprehensive analysis, it can be ensured that the use of medical equipment meets the requirements of infectious disease prevention and control, guarantee the safety of patients and medical staff, and avoid the spread of infectious diseases caused by improper use of equipment or incomplete virus disinfection during the examination process, providing a strong guarantee for the smooth progress of medical work. At the same time, it also helps to improve the overall management level and medical quality of the hospital.

[0073] Embodiment 2

[0074] As Figure 5 shown, this embodiment provides a medical evaluation system for patients with infectious diseases and endemic diseases based on feature analysis, including:

[0075] A data acquisition module for acquiring the infection characteristic data of infectious diseases, and at the same time acquiring the disease condition data of the patient during the examination and the operation data of the medical examination equipment;

[0076] A disease condition matching analysis module for carrying out disease condition matching analysis based on the disease condition data of the patient during the examination and the stable operation data among the operation data of the medical examination equipment;

[0077] An infection anomaly analysis module for carrying out infection anomaly analysis based on the infection characteristic data of infectious diseases and the virus disinfection level data among the operation data of the medical examination equipment;

[0078] A medical equipment inspection evaluation module for carrying out medical equipment inspection evaluation based on the results of the disease condition matching analysis and the infection anomaly analysis;

[0079] A judgment module for judging whether the medical equipment matches the patient according to the medical equipment inspection evaluation result and carrying out equipment replacement.

[0080] For the steps of the above-described parameters and each unit module in the medical evaluation system for infectious and endemic disease patients based on feature analysis of the present invention to implement corresponding functions, reference can be made to the parameters and steps in the embodiments of the medical evaluation method for infectious and endemic disease patients based on feature analysis in the foregoing text, which will not be elaborated herein.

[0081] Embodiment 3

[0082] An electronic device according to an embodiment of the present invention includes: a processor and a memory. Among them, a computer program that can be called by the processor is stored in the memory. The processor executes the medical evaluation method for infectious and endemic disease patients based on feature analysis by calling the computer program stored in the memory. It should be noted that: all computer programs of the medical evaluation method for infectious and endemic disease patients based on feature analysis are implemented using the C language. Among them, the data acquisition module, the pollutant intrusion degree analysis module, the damage degree analysis module, the pollution spread degree analysis module, the pollution risk assessment module, the book processing warning module, and the control module are all controlled by a remote server.

[0083] Embodiment 4

[0084] An embodiment of the present invention provides a computer-readable storage medium, on which a rewritable computer program is stored;

[0085] When the computer program runs on a computer device, the computer device is caused to execute the above-mentioned medical evaluation method for infectious and endemic disease patients based on feature analysis.

[0086] Each embodiment in the present invention is described in a progressive manner. For the same or similar parts between each embodiment, reference can be made to each other. The key point of each embodiment is to illustrate the differences from other embodiments. In particular, for the embodiments of the Internet of Things devices and media, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can refer to the partial description of the method embodiments.

[0087] The systems and media provided by the embodiments of the present invention correspond one-to-one with the methods. Therefore, the systems and media also have beneficial technical effects similar to those of the corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the systems and media will not be elaborated herein.

[0088] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memory, CD-ROM, optical memory, etc.) that contain computer-usable program code.

[0089] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to embodiments of the present invention. It should be understood that each flow and / or block in the flowchart and / or block diagram, and the combination of flows and / or blocks in the flowchart and / or block diagram, can be realized by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate means for realizing the functions specified in Figure 1 one or more of the flows Figure 1 or a plurality of flows and / or blocks

[0090] These computer program instructions can 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 generate a manufactured article including instruction means that realize the functions specified in Figure 1 one or more of the flows Figure 1 or a plurality of flows and / or blocks

[0091] In a typical configuration, a computing device includes one or more processors (CPUs), an input / output interface, a network interface, and memory.

[0092] The memory may include non-permanent memory in the computer-readable medium, in the form of random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0093] A computer-readable medium includes both permanent and non-permanent, removable and non-removable media that can store information by any method or technology. 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 technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transitory medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer-readable medium does not include transitory computer-readable media such as modulated data signals and carrier waves.

[0094] It should also be noted that the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, such that a process, method, article or apparatus comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or apparatus. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, article or apparatus comprising the element.

[0095] The above are only embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention can have various changes and modifications. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the scope of the claims of the present invention.

Claims

1. A medical evaluation method for patients with infectious diseases and endemic diseases based on feature analysis, characterized in that: The steps include: S1. Obtain the infectious characteristics data of infectious diseases, the condition data of patients during examination, and the operation data of medical examination equipment; S2. Performing condition matching analysis based on the condition data of the patient during the examination and the stable operation data in the equipment operation data of the medical examination; The specific steps include: S21, analyzing the abnormal physical constitution of the patient based on the physical constitution data in the patient's condition data during the examination, wherein the abnormal physical constitution of the patient is analyzed by: obtaining the difference between each parameter in the physical constitution data within a set period and the safety range of the corresponding parameter, performing weighted summation to obtain the abnormal physical constitution at the corresponding moment, and performing weighted summation based on the average value and fluctuation of the abnormal physical constitution at each moment within the set period to obtain the abnormal physical constitution analysis value; S22. Perform equipment inspection abnormality assessment based on equipment operation data and equipment radiation damage data, wherein the equipment inspection abnormality assessment includes the following specific steps: Obtain equipment operation data within a set period and evaluate equipment operation stability. The equipment operation stability evaluation method is as follows: , where ct is the equipment operation abnormality at time t, c(t-1) is the equipment operation abnormality at time t-1, is the operating fluctuation ratio, is the proportion of abnormal operation; S23. Evaluate the condition matching based on the equipment operation stability, physical abnormality analysis values ​​and equipment radiation damage data; S3. Conducting infectious anomaly analysis based on infectious characteristic data of infectious diseases and virus disinfection level data in equipment operation data of medical examinations; S4. Conduct medical equipment inspection and evaluation based on the results of disease matching analysis and infectious abnormality analysis; S5. Determine whether the medical equipment matches the patient based on the inspection and evaluation results of the medical equipment and replace the equipment.

2. The method for medical assessment of infectious and endemic disease patients based on feature analysis according to claim 1, characterized in that: In S3, the infectious anomaly analysis is performed based on the infectious characteristic data of the infectious disease and the virus disinfecting level data in the equipment operation data of the medical examination, including the following specific steps: S31, obtaining transmission environment data of the infectious virus and environmental data during inspection, and performing environmental impact analysis based on the transmission environment data of the infectious virus and environmental data during inspection; S32, obtaining the patient's infection level, infection distance, and antiviral level data of equipment and materials to perform virus transmission analysis; S33. Obtain the calculated virus transmission analysis results and environmental impact analysis results to perform infection anomaly analysis.

3. The method for medical assessment of infectious and endemic disease patients based on feature analysis according to claim 2, characterized in that: The medical equipment inspection and evaluation based on the disease matching analysis results and the infectious abnormality analysis results in S4 includes the following specific steps: S41, obtaining the calculated disease matching evaluation result and the infectious abnormality analysis result, taking the inverse of the infectious abnormality analysis result to obtain the infectious normality evaluation result; S42, performing weighted summation on the obtained normal infection assessment result and the condition matching assessment result to obtain the medical equipment inspection assessment result.

4. The method for medical assessment of infectious and endemic disease patients based on feature analysis according to claim 3, characterized in that: In S5, judging whether the medical device matches the patient according to the medical device inspection and evaluation results and replacing the device includes the following specific contents: S51. Compare the medical device inspection and evaluation result with the set medical device inspection and evaluation threshold. If the medical device inspection and evaluation result is greater than or equal to the set medical device inspection and evaluation threshold, it means that the medical device matches the patient, and the medical staff can use the corresponding medical device to perform medical examination on the patient. If the medical device inspection and evaluation result is less than the set medical device inspection and evaluation threshold, it means that the medical device does not match the patient, and the medical device needs to be replaced. S52. Transmit the analysis results to medical personnel via wired or wireless means.

5. The method for medical assessment of infectious and endemic disease patients based on feature analysis according to claim 4, characterized in that: The equipment operation abnormality analysis method in S22 is: obtaining the difference between the equipment operation data at the corresponding moment and the standard operation data, normalizing and weighted summing the difference to obtain the equipment operation abnormality at the corresponding moment.

6. The method for medical assessment of infectious and endemic disease patients based on feature analysis according to claim 5, characterized in that: The infectious characteristic data of the infectious disease in S1 include the infectious characteristic data of the infectious virus carried by the patient, including the infection distance, the infection level of the patient and the transmission environment data of the infectious virus. The condition data of the patient during the examination in S1 include the physical condition data of the patient. The equipment operation data of the medical examination in S1 include the equipment operation data, the equipment radiation damage data and the antiviral level data of the equipment material.

7. The method for medical assessment of infectious and endemic disease patients based on feature analysis according to claim 6, characterized in that: The virus transmission analysis formula is: , where Hz is the infection level, Hx is the antiviral level of the equipment material, Ls is the average distance between the patient and the equipment during testing, Lm is the virus transmission distance, ts is the testing time, and Ts is the safety time.

8. A medical evaluation system for infectious and endemic disease patients based on feature analysis, which is implemented based on the medical evaluation method for infectious and endemic disease patients based on feature analysis according to any one of claims 1 to 7, characterized in that: The system comprises: A data acquisition module is used to acquire infectious characteristic data of infectious diseases, as well as condition data of patients during examinations and equipment operation data of medical examinations; The condition matching analysis module performs condition matching analysis based on the condition data of the patient during the examination and the stable operation data in the operation data of the medical examination equipment; The infectious anomaly analysis module performs infectious anomaly analysis based on infectious characteristic data of infectious diseases and virus disinfection level data in the equipment operation data of medical examinations; Equipment inspection and evaluation module, which conducts medical equipment inspection and evaluation based on the disease matching analysis results and infectious abnormality analysis results; The judgment module determines whether the medical device matches the patient based on the inspection and evaluation results of the medical device and replaces the device.

9. 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 medical assessment method for infectious and endemic disease patients based on feature analysis as described in any one of claims 1 to 7 by calling the computer program stored in the memory.

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