An intelligent big data expert treatment system for physical medical technology upgrading

Abstract

The present application relates to a kind of for entity medical technology upgrade intelligent big data expert treatment system, including entity medical intelligent data communication unit, external network health medical data communication unit, also including intelligent examination and treatment big data expert treatment unit, the intelligent examination and treatment big data expert treatment unit is respectively connected with entity medical intelligent data communication unit and external network health medical data communication unit signal, the intelligent examination and treatment big data expert treatment unit includes intelligent examination and treatment data expert diagnosis processor and is respectively connected with intelligent examination and treatment data expert treatment module, intelligent examination and treatment big data expert sample module, intelligent examination and treatment data expert optimization module and intelligent examination and treatment data expert verification module signal.The present application can solve the problem of entity hospital examination and treatment integration wisdom medical, and has the significant advantages of high treatment efficiency, quality and convenient operation.

Description

[0001] Field of study

[0002] This invention belongs to the field of smart healthcare and health big data application technology, and in particular relates to an intelligent big data expert-assisted treatment system for upgrading physical medical technology. Background Technology

[0003] The informatization of physical hospitals encompasses three aspects: management informatization, clinical management informatization, and smart healthcare. Promoting smart healthcare in physical hospitals, especially integrated diagnostic and treatment services, plays a significant role. However, current informatization construction in physical hospitals primarily focuses on management and clinical management, lacking integrated diagnostic and treatment services. For example, Chinese patent application CN112259205A discloses an information system for medical and nursing management. This system includes patient identification information recognition equipment, handheld devices for management information input, and an information management data subsystem, and interacts with the hospital's information system. While this can solve problems such as low efficiency and timeliness in information input during medical and nursing processes, it cannot address the challenge of integrated smart healthcare in physical hospitals. CN1110459313A discloses an intelligent medical cloud system combining data mining and intelligent learning algorithms. Its purpose is to fully leverage the accuracy, speed, and predictive power of artificial intelligence technology and massive medical data in patient diagnosis and treatment through cloud-based interaction with client users, third-party institutions, and expert teams. However, because its interaction methods do not fall under the category of using large-scale standardized sample information to achieve intelligent healthcare without human intervention, the system's reliability is inevitably affected, making it difficult to achieve its intended purpose. CN114121266A discloses an intelligent auxiliary diagnostic method and system. This solution addresses the low efficiency of online medical service diagnosis by using the internet as a carrier. It proposes utilizing a trained machine learning model to determine the probability of diagnosing a disease or symptom in a patient and then revealing this probability to the healthcare provider. However, it does not belong to integrated diagnosis and treatment and cannot solve the problem of integrated intelligent healthcare in physical hospitals without human intervention. CN114038553A discloses an intelligent expert-assisted rehabilitation system based on multi-component combination. This solution aims to address the problem that internet hospitals lack integrated diagnostic and treatment combination systems (equipment). It proposes an integrated diagnostic and treatment multi-component combination system (equipment), but it lacks the means and functions to control the diagnostic and treatment processes in physical hospitals and cannot solve the problem of integrated intelligent healthcare in physical hospitals without human intervention.

[0004] In conclusion, overcoming the shortcomings of existing technologies and accelerating the development of intelligent big data expert-assisted treatment systems for upgrading physical medical technologies has become one of the key challenges that urgently need to be addressed in the field of smart healthcare and health big data application technology. Summary of the Invention

[0005] The purpose of this invention is to overcome the shortcomings of existing technologies and provide an intelligent big data expert-assisted treatment system for upgrading physical medical technology. This intelligent big data expert-assisted treatment system can solve the problem of integrated smart healthcare in physical hospitals, and has significant advantages such as direct control-assisted treatment without human intervention, high efficiency, high quality, and convenient operation.

[0006] According to the present invention, an intelligent big data expert-assisted treatment system for upgrading physical medical technology includes an external network health and medical data communication unit for acquiring diagnostic and treatment standard samples. The system is characterized by further including a core-shell composite intelligent diagnostic and treatment big data expert-assisted treatment unit that is respectively connected to a physical medical positive and negative control data communication unit for real-time interaction in diagnostic and treatment and an external network health and medical data communication unit for acquiring diagnostic and treatment standard samples. The core-shell composite intelligent diagnostic and treatment big data expert-assisted treatment unit includes a core-structured intelligent diagnostic and treatment data expert diagnostic processor, which is respectively connected to the shell-structured intelligent diagnostic and treatment data expert-assisted treatment module, intelligent diagnostic and treatment big data expert standard sample module, intelligent diagnostic and treatment data expert verification module, and intelligent diagnostic and treatment data expert optimization module. The intelligent diagnostic and treatment data expert optimization module is respectively connected to the intelligent diagnostic and treatment data expert-assisted treatment processor and the intelligent diagnostic and treatment big data expert standard sample module. The intelligent diagnostic and treatment data expert verification module is respectively connected to the intelligent diagnostic and treatment data expert-assisted treatment processor and the intelligent diagnostic and treatment big data expert standard sample module.

[0007] The core-structured intelligent diagnostic and treatment data expert diagnostic processor includes an intelligent diagnostic and treatment data signal conversion and processing module, an intelligent diagnostic and treatment data signal matching and processing module, an intelligent diagnostic and treatment data signal integration and processing module, an intelligent diagnostic and treatment data signal conclusion processing module, and an intelligent diagnostic and treatment data conclusion fault-tolerant processing module. The intelligent diagnostic and treatment data signal matching and processing module is connected between the intelligent diagnostic and treatment data signal conversion and processing module and the intelligent diagnostic and treatment data signal integration and processing module. The data signals of the intelligent diagnostic and treatment data signal integration and processing module, the intelligent diagnostic and treatment data signal conclusion processing module, the intelligent diagnostic and treatment data conclusion fault-tolerant processing module, and the intelligent diagnostic and treatment data signal matching and processing module are sequentially and cyclically connected. The core-structured intelligent diagnostic and treatment data expert diagnostic processor receives the user's initial diagnostic and treatment result data signal from the real-time interactive physical medical positive and negative control data communication unit via the intelligent diagnostic and treatment data expert assistance module. Using the diagnostic and treatment standard sample data signal in the intelligent diagnostic and treatment big data expert standard module, it intelligently processes the initial diagnostic and treatment result data signal to generate the corresponding diagnostic and treatment expert plan data signal.

[0008] Specifically, the intelligent diagnostic and treatment data signal conversion and processing module preprocesses the user's initial diagnostic and treatment result data signal. The intelligent diagnostic and treatment data signal matching and processing module stores several pre-identification models corresponding to different disease types. The intelligent diagnostic and treatment data signal matching and processing module imports the user's initial diagnostic and treatment result data signal into each pre-identification model. If there are one or more pre-identification results with a confidence level higher than a preset confidence threshold, the disease type corresponding to the pre-identification result and the preprocessed user's initial diagnostic and treatment result data signal are imported into the intelligent diagnostic and treatment data signal integration and processing module for further diagnosis. Based on the diagnosis result, a corresponding treatment expert plan data signal is generated. Otherwise, the pre-identification results are arranged in descending order of confidence level. The standard data types of the first N pre-identification models and the allowed value ranges of each standard data type are retrieved and matched with the user's initial diagnostic and treatment result data signal. Based on the matching result, a corresponding detection expert plan data signal is generated and fed back to the intelligent diagnostic and treatment data expert assistance module for re-detection of the user.

[0009] The intelligent diagnostic and treatment data expert-assisted treatment module receives and parses the data signals of the treatment expert plan or the detection expert plan sent by the intelligent diagnostic and treatment data expert processor with a core structure. Through the physical medical positive and negative control data communication unit for real-time interaction of diagnosis and treatment, the parsed data signals of the treatment expert plan or the detection expert plan are sent to the corresponding physical medical device unit according to different task lists.

[0010] The principle of this invention is as follows: The intelligent big data expert-assisted treatment system proposed in this invention constructs a novel "three-in-one" structural design for the intelligent big data expert-assisted treatment system, comprising a physical medical positive and negative control data communication unit for real-time interaction in examination, diagnosis, and treatment; a core-shell composite intelligent examination, diagnosis, and treatment big data expert-assisted treatment unit; and an external network health and medical data communication unit for examination, diagnosis, and treatment standard samples. Among these, the core-shell composite intelligent examination, diagnosis, and treatment big data expert-assisted treatment unit is a unique technological upgrade. It includes an intelligent examination, diagnosis, and treatment data expert diagnostic processor designed as the core, which is connected to the intelligent examination, diagnosis, and treatment data expert-assisted treatment module designed as the shell, and an intelligent... The big data expert standard module, intelligent diagnostic and treatment data expert verification module, and intelligent diagnostic and treatment data expert optimization module are connected by data signals. The intelligent diagnostic and treatment data expert diagnostic processor, designed with a core structure, serves as the "central nervous system." It can receive input data signals from intelligent sensors in physical medical facilities, external health and medical data signals, as well as data signals from various experts, including expert standard data, expert verification data, and expert optimization data. After integration and processing, it becomes a collaborative and precise data signal output, which can directly assist in treatment without manual intervention. At the same time, it can be stored in the "central nervous system" to serve as the basis for subsequent follow-up visits and treatment information.

[0011] The significant advantages of this invention compared to the prior art are as follows:

[0012] This invention constructs a novel "three-in-one" expert-assisted treatment structure design for examination and treatment big data, comprising a physical medical forward and reverse control data communication unit for real-time interactive examination and treatment, a core-shell composite intelligent examination and treatment big data expert-assisted treatment unit, and an external network health and medical data communication unit for examination and treatment standard samples. The core-shell composite intelligent examination and treatment big data expert-assisted treatment unit is a "core-shell composite structure" with a "central nervous system" to fully leverage the advantages of intelligent examination and treatment big data processing technology. Through the synergistic effect of intelligent data analysis, intelligent data optimization, and intelligent data-assisted treatment, and other intelligent examination and treatment data expert diagnosis, an optimal treatment path and plan are formed. This invention enables the achievement of direct, non-manual, high-efficiency, high-quality, and convenient operation and use of expert-assisted treatment.

[0013] Secondly, this invention uses a core-structured intelligent diagnostic data expert processor as the "central nervous system," that is, a diagnostic data expert information integration system. This is a significant feature that distinguishes it from existing technologies. As a result, the diagnostic data expert assistance system of this invention, which combines a "three-in-one" structure, a "core-shell composite structure," and a "central nervous system," can accurately diagnose the individual characteristics of specific lesions affecting human health, thereby achieving the significant effect of "treating the symptoms."

[0014] Third, the intelligent big data expert-assisted treatment system proposed in this invention utilizes the "three-in-one," "core-shell composite structure," and "central nervous system" big data expert-assisted treatment technologies for diagnosis and treatment. This completely changes the shortcomings of traditional physical medical care, where examination, diagnosis, and treatment are "separate departments" and lack the collaborative support of big data expert-assisted treatment technologies for precise treatment. It plays a significant role in upgrading physical medical technology and providing high-quality services.

[0015] Fourth, the intelligent big data expert-assisted treatment system proposed in this invention is a fully intelligent system composed of the clinical medical wisdom of experts in the field, which helps to improve the medical skills of non-tertiary medical institutions and young doctors. This invention is widely applicable to various physical hospitals, mobile hospitals, telemedicine centers, community medical centers, health care centers, rehabilitation centers, sanatoriums or nursing homes and other medical institutions or rehabilitation institutions with medical conditions, and can be further extended to the homes of rehabilitation users or sub-healthy users with the necessary conditions. Attached Figure Description

[0016] Figure 1 This is a schematic diagram of the structure of an intelligent big data expert-assisted treatment system for upgrading physical medical technology proposed in this invention.

[0017] Figure 2This is a schematic diagram of the intelligent diagnostic data expert processor with a core structure proposed in this invention.

[0018] Figure 3 This is a schematic diagram of the structure of the physical medical positive and negative control data communication unit for real-time interactive diagnosis and treatment proposed in this invention.

[0019] Figure 4 This is a schematic diagram of the intelligent diagnostic and treatment forward and reverse control data signal processor proposed in this invention.

[0020] Figure 5 This is a schematic diagram of the external network health and medical data communication unit for diagnostic and treatment standard samples proposed in this invention.

[0021] Figure 6 This is a schematic diagram illustrating the usage method of an intelligent big data expert-assisted treatment system for upgrading physical medical technology, as proposed in this invention.

[0022] Figure 7 This is a panoramic structural diagram of an intelligent big data expert-assisted treatment system for upgrading physical medical technology proposed in this invention.

[0023] Figure 8 This is a schematic diagram of the data signal feedback connection structure of an intelligent big data expert-assisted treatment system proposed in this invention for use in physical medical institutions.

[0024] The numbering in the accompanying drawings is explained as follows: Physical medical forward and reverse control data communication unit 1 for real-time interactive diagnosis and treatment; detection sensor data communication module 1-1; diagnostic sensor data communication module 1-2; device treatment sensor data communication module 1-3; prescription treatment sensor data communication module 1-4; intelligent diagnosis and treatment forward and reverse control data signal processor 1-5; core-shell composite structure intelligent diagnosis and treatment big data expert assistance unit 2; intelligent diagnosis and treatment data expert assistance module 2-1; core structure intelligent diagnosis and treatment data expert diagnostic processor 2-2; intelligent diagnosis and treatment data signal conversion and processing module 2-2-1; intelligent detection... The system includes: a diagnostic data signal matching and processing module 2-2-2; an intelligent diagnostic data signal integration and processing module 2-2-3; an intelligent diagnostic data signal conclusion processing module 2-2-4; an intelligent diagnostic data conclusion fault tolerance processing module 2-2-5; an intelligent diagnostic data big data expert standard module 2-3; an intelligent diagnostic data expert verification module 2-4; an intelligent diagnostic data expert optimization module 2-5; an external network health and medical data communication unit 3 for acquiring diagnostic data standard samples; an Internet + 5G cloud server 3-1; a wireless data communication network 3-2; and a remote health and medical big data server 3-3.

[0025] Explanation of the hollow double arrows in the accompanying drawings: (e.g.) Figure 3 and Figure 7The hollow double arrows in the diagram represent the data signal feedback interface between the device and the external physical medical device unit module. Detailed Implementation

[0026] The specific embodiments of the present invention will be further described in detail below with reference to the accompanying drawings and examples.

[0027] Example 1. Combining Figure 1 This invention proposes an intelligent big data expert-assisted treatment system for upgrading physical medical technology. It includes an external network health and medical data communication unit 3 for acquiring diagnostic and treatment standard samples, and a core-shell composite intelligent diagnostic and treatment big data expert-assisted treatment unit 2, which is connected to the physical medical positive and negative control data communication unit 1 for real-time interaction during diagnostic and treatment and the external network health and medical data communication unit 3 for acquiring diagnostic and treatment standard samples. The core-shell composite intelligent diagnostic and treatment big data expert-assisted treatment unit 2 includes a core-structured intelligent diagnostic and treatment data expert diagnostic processor 2-2, which is connected to the shell-structured... The intelligent diagnostic and treatment data expert-assisted treatment module 2-1, the intelligent diagnostic and treatment big data expert standard module 2-3, the intelligent diagnostic and treatment data expert verification module 2-4, and the intelligent diagnostic and treatment data expert optimization module 2-5 are connected by data signals; the intelligent diagnostic and treatment data expert optimization module 2-5 is connected by data signals to the intelligent diagnostic and treatment data expert-assisted treatment processor 2-1 and the intelligent diagnostic and treatment big data expert standard module 2-3, respectively; the intelligent diagnostic and treatment data expert verification module 2-4 is connected by data signals to the intelligent diagnostic and treatment data expert-assisted treatment processor 2-1 and the intelligent diagnostic and treatment big data expert standard module 2-3, respectively.

[0028] The intelligent diagnostic data expert processor (2-2) of the core structure includes an intelligent diagnostic data signal conversion and processing module (2-2-1), an intelligent diagnostic data signal matching and processing module (2-2-2), an intelligent diagnostic data signal integration and processing module (2-2-3), an intelligent diagnostic data signal conclusion processing module (2-2-4), and an intelligent diagnostic data conclusion fault-tolerant processing module (2-2-5). The intelligent diagnostic data signal matching and processing module (2-2-2) is connected between the intelligent diagnostic data signal conversion and processing module (2-2-1) and the intelligent diagnostic data signal integration and processing module (2-2-3). The data signals of the intelligent examination and treatment data signal conclusion processing module (2-2-3), the intelligent examination and treatment data conclusion fault tolerance processing module (2-2-5) are sequentially and cyclically connected; wherein, the intelligent examination and treatment data expert diagnostic processor (2-2) of the core structure receives the data signal of the user's initial examination and treatment result sent by the physical medical positive and negative control data communication unit (1) of the real-time interaction of examination and treatment through the intelligent examination and treatment data expert auxiliary module (2-1), and intelligently processes the data signal of the initial examination and treatment result to generate the corresponding data signal of the examination and treatment expert plan by means of the examination and treatment standard sample data signal in the intelligent examination and treatment big data expert standard module (2-3);

[0029] Specifically, the intelligent diagnostic and treatment data signal conversion and processing module (2-2-1) preprocesses the data signal of the user's initial diagnostic and treatment results sent by the intelligent diagnostic and treatment data expert-assisted treatment module (2-1). The intelligent diagnostic and treatment data signal matching and processing module (2-2-2) stores several pre-identification models corresponding to different disease types. The intelligent diagnostic and treatment data signal matching and processing module (2-2-2) imports the user's initial diagnostic and treatment result data signal into each pre-identification model. If there are one or more pre-identification results with a confidence level higher than the preset confidence threshold, the disease type corresponding to the pre-identification result is matched with the pre-identification model. The processed user's initial examination and treatment results data signal is imported into the intelligent examination and treatment data signal integration and processing module (2-2-3) for further diagnosis. Based on the diagnosis results, the corresponding treatment expert plan data signal is generated. Otherwise, the pre-identification results are arranged in descending order of confidence. The standard data types of the first N pre-identification models and the allowable value range of each standard data type are retrieved and matched with the user's initial examination and treatment results data signal. Based on the matching results, the corresponding detection expert plan data signal is generated and fed back to the intelligent examination and treatment data expert assistance module (2-1) for re-detection of the user.

[0030] The intelligent diagnostic and treatment data expert assistance module (2-1) receives and parses the data signals of the treatment expert plan or the detection expert plan sent by the intelligent diagnostic and treatment data expert diagnostic processor (2-2) with the core structure. Through the physical medical positive and negative control data communication unit (1) for real-time interaction of diagnosis and treatment, the parsed data signals of the treatment expert plan or the detection expert plan are sent to the corresponding physical medical device unit according to different task lists.

[0031] In this embodiment, the data signal of the user's initial examination and treatment results is related to the specific user type. For users with no historical medical records, the initial examination and treatment results may only include test data, such as body temperature data, blood test data, and other relatively routine test data. For users with historical medical records, the initial examination and treatment results may include historical disease progress data in addition to simple test data. For users with a long disease course, the results may include existing examination and treatment data within the current disease course. In summary, this embodiment does not specifically limit the data type of the user's initial examination and treatment results. However, to facilitate subsequent data processing, the intelligent examination and treatment data signal conversion and processing module (2-2-1) preprocesses the data signal of the user's initial examination and treatment results, dividing the imported data into three major categories: detection, diagnosis, and treatment. Under each major category, the existing data is then statistically classified and format converted.

[0032] The intelligent diagnostic and treatment data signal matching and processing module (2-2-2) stores several pre-identification models corresponding to different disease types. Each pre-identification model includes diagnostic items for the disease type (such as the severity and acute / chronicity of the disease), the value range of detection data corresponding to different diagnostic items (such as the shape and size of lesions in CT results), and common feedback data from treatment methods (such as the therapeutic effect after N treatments). The intelligent diagnostic and treatment data signal matching and processing module (2-2-2) imports the user's initial diagnostic and treatment data signals into each pre-identification model, calculates the matching degree between the user's initial diagnostic and treatment data signals and each pre-identification model, and considers this as the confidence level of the corresponding pre-identification model. It should be noted that the pre-identification results of the intelligent diagnostic and treatment data signal matching and processing module (2-2-2) cannot be used as diagnostic results. This is because many different types of diseases have similar external manifestations, but their internal causes are actually very different, and the final treatment plans are also completely different. In order to avoid misdiagnosis and improve diagnostic efficiency, the intelligent diagnostic and treatment data signal matching and processing module (2-2-2) also needs to import the pre-identification results into the intelligent diagnostic and treatment data signal integration and processing module (2-2-3) for further diagnosis. In this embodiment, the intelligent diagnostic and treatment data signal matching and processing module (2-2-2) plays two main roles. First, it performs further preprocessing of the data. Second, and most importantly, as a connecting module, it connects all the physical devices of the entire physical medical system together with the intelligent diagnostic and treatment data expert assistance module (2-1) and the physical medical positive and negative control data communication unit (1) for real-time interaction of diagnostic and treatment. This realizes the automatic control of all physical devices of the entire physical medical system, solves the technical problem of the independence of examination, diagnosis and treatment in the current physical medical system, and effectively improves the efficiency of diagnostic and treatment in the physical medical system.

[0033] If one or more pre-identification results have a confidence level higher than the preset confidence threshold, it indicates that the data signal of the user's initial examination and treatment results imported in this round has a relatively clear disease type indication. The disease type corresponding to the pre-identification result and the data signal of the user's initial examination and treatment results after preprocessing are directly imported into the intelligent examination and treatment data signal integration and processing module (2-2-3) for further diagnosis. Based on the diagnosis result, the corresponding treatment expert plan data signal is generated and fed back to the intelligent examination and treatment data expert assistance module (2-1) to execute the treatment plan. Otherwise, the pre-identification results are arranged in descending order of confidence level. The standard data types of the first N pre-identification models and the allowed value range of each standard data type are retrieved and matched with the data signal of the user's initial examination and treatment results. Based on the matching result, the missing detection items are determined, the corresponding detection expert plan data signal is generated, and fed back to the intelligent examination and treatment data expert assistance module (2-1) to re-detect the user.

[0034] The intelligent diagnostic and treatment data expert assistance module (2-1) receives and parses the data signals of the treatment expert plan or the detection expert plan sent by the intelligent diagnostic and treatment data expert diagnostic processor (2-2) with the core structure. Through the physical medical positive and negative control data communication unit (1) for real-time interaction of diagnosis and treatment, the parsed data signals of the treatment expert plan or the detection expert plan are sent to the corresponding physical medical device unit according to different task lists.

[0035] This invention utilizes a "three-in-one" big data-assisted treatment technology for examination, diagnosis, and treatment, completely changing the shortcomings of traditional physical medical care where examination, diagnosis, and treatment are "separate departments" and lack the collaborative support of big data-assisted treatment technology for precise treatment. In particular, the intelligent examination, diagnosis, and treatment data expert diagnostic processor 2-2 with a core structure serves as the "central nervous system," that is, the data information integration system. Thus, the "three-in-one" big data-assisted treatment system of this invention can achieve the goals of no manual intervention, direct control and assistance, high efficiency, high quality, and convenient operation.

[0036] A further preferred embodiment of the intelligent big data expert-assisted treatment system for upgrading physical medical technology proposed in this invention is as follows:

[0037] Example 2. The intelligent diagnostic and treatment data expert verification module 2-4 receives the user's initial diagnostic and treatment result data signal sent by the physical medical positive and negative control data communication unit 1 for real-time interaction of diagnostic and treatment through the intelligent diagnostic and treatment data expert auxiliary module 2-1. It compares the data with the predicted result of the diagnostic and treatment expert scheme, evaluates the operating status of the core structure intelligent diagnostic and treatment data expert diagnostic processor 2-2, and sends the evaluation result to the intelligent diagnostic and treatment data expert optimization module 2-5.

[0038] When the error between the initial diagnostic and treatment result and the predicted result compared with the diagnostic and treatment expert plan exceeds the allowable error threshold, the intelligent diagnostic and treatment data expert optimization module 2-5 performs global optimization on the core structure of the intelligent diagnostic and treatment data expert diagnostic processor 2-2 based on the evaluation result and the diagnostic and treatment standard sample data signal in the intelligent diagnostic and treatment big data expert standard module 2-3; otherwise, the intelligent diagnostic and treatment data expert optimization module 2-5 performs local optimization on the corresponding module of the core structure of the intelligent diagnostic and treatment data expert diagnostic processor 2-2 based on the type of the evaluation result and the deviation data signal.

[0039] This embodiment innovatively proposes two optimization methods: local optimization and global optimization. In fact, it optimizes the entire "core-shell structure." The intelligent diagnostic data expert processor (2-2), besides diagnosis, also acts as a central nervous system, controlling the physical medical intelligent data communication unit 1 through the intelligent diagnostic data expert auxiliary module 2-1. Therefore, the optimization object of the intelligent diagnostic data expert processor 2-2 is not only the diagnostic network, but also the operation of the entire "core-shell structure," ultimately affecting the control and operation of all physical medical devices. In this embodiment, the data provided to the intelligent diagnostic data signal integration processing module 2-2-3 is variable, closely related to the physical medical intelligent data communication unit 1, and ultimately affects the operating rules of the physical medical intelligent data communication unit 1. Therefore, it is necessary to optimize both the "examination" and "treatment" processes. This part is of great significance to physical healthcare. Taking hospitals as an example, after adopting the technical solution of this embodiment, the pressure on both the testing and treatment departments can be alleviated.

[0040] Example 3. Combined with Figure 2 The intelligent diagnostic data expert processor 2-2 with a core structure described in Example 1 serves as the "central nervous system" of this invention. When the intelligent diagnostic data signal conversion and processing module 2-2-1 therein is triggered,

[0041] After the intelligent diagnostic and treatment data signal matching and processing module 2-2-2 imports the pre-identification results into the intelligent diagnostic and treatment data signal integration and processing module 2-2-3, the intelligent diagnostic and treatment data signal integration and processing module 2-2-3 is triggered. It receives data signals from the shell-structured intelligent diagnostic and treatment data expert assistance module 2-1, intelligent diagnostic and treatment big data expert standard module 2-3, intelligent diagnostic and treatment data expert verification module 2-4, and intelligent diagnostic and treatment data expert optimization module 2-5, respectively, and converts the received data signals from multiple data sources into diagnostic and treatment data signals of a unified format. The intelligent diagnostic and treatment data signal integration and processing module 2-2-3 processes the diagnostic and treatment data signals to calculate the corresponding diagnosed disease type and the prediction rate for each diagnosed disease type. The intelligent diagnostic and treatment data signal integration and processing module 2-2-3... The diagnostic data signal conclusion processing module 2-2-4 performs conclusion analysis on the diagnostic disease types whose prediction rates meet the preset requirements, and obtains the prediction results of the diagnostic expert scheme that are compatible with the initial diagnostic results. The intelligent diagnostic data conclusion fault tolerance processing module 2-2-5 calculates the fault tolerance rate of the diagnostic disease types whose prediction rates meet the preset requirements based on the prediction results of the diagnostic expert scheme. When the fault tolerance rate of any diagnostic disease type meets the allowable fault tolerance rate threshold, the diagnostic disease type is output. When the fault tolerance rate of all diagnostic disease types does not meet the allowable fault tolerance rate threshold, the calculated fault tolerance rate is sent to the intelligent diagnostic data signal integration processing module 2-2-3, and the intelligent diagnostic data signal integration processing module 2-2-3 is retried.

[0042] If the prediction rate of the intelligent diagnostic and treatment data signal integration processing module (2-2-3) is not high, but the error tolerance rate meets the error tolerance threshold, it indicates that there are not enough disease detection results or further disease follow-up is needed. The processing results are sent to the intelligent diagnostic and treatment data expert assistance module 2-1, and targeted re-examination or long-term follow-up is carried out according to the predicted disease type to continuously correct the case processing results.

[0043] Example 4. Combined with Figure 2 The intelligent diagnostic and treatment data signal integration processing module 2-2-3 described in Example 2 is constructed based on a neural network and includes a feature extraction module, a correlation analysis module, a feature fusion module, and a classification module.

[0044] The feature extraction module is used to extract feature vectors of different types of examination and diagnosis data; the correlation analysis module performs correlation analysis on the extracted feature vectors of different types of examination and diagnosis data; the feature fusion module jointly concatenates the feature vectors with correlation, and then inputs the fused features of the obtained related examination and diagnosis data into the classification module; the classification module combines the remaining non-correlated feature vectors sent by the correlation analysis module and the fused features sent by the feature fusion module to classify the corresponding diagnostic disease types and the prediction rate of each diagnostic disease type.

[0045] In this embodiment, examination, diagnosis, and treatment are integrated. As mentioned earlier, the intelligent examination, diagnosis, and treatment data signal integration and processing module 2-2-3 is variable, related to the physical medical intelligent data communication unit 1, and ultimately affects the operating rules of the physical medical intelligent data communication unit 1. Since the examination, diagnosis, and treatment data received by the intelligent examination, diagnosis, and treatment data signal integration and processing module 2-2-3 is not fixed, it may only include some common disease detection data, or it may include a combination of multiple detection data, or even some instrument treatment results. For the same patient, there may be a process of detection-diagnosis-re-detection. Given the diverse types and uncertainties of data sources and the possibility of multiple diagnoses, this embodiment introduces correlation analysis technology. By performing correlation analysis on the feature vectors of different types of examination, diagnosis, and treatment data, the problem of unfixed data sources in the integrated "examination, diagnosis, and treatment" scenario is solved.

[0046] Example 5. The calculation formula used by the correlation analysis module described in Example 3 above is:

[0047]

[0048] In the formula, β X，Y，m This is the correlation coefficient adjustment factor for the diagnostic data types X and Y corresponding to the diagnosed disease type m, where m = 1, 2, ..., M, and M is the total number of disease types obtained from the initial screening based on the user's diagnostic data; ρ X，Y It is the correlation coefficient between data types X and Y in diagnostic and treatment data. i and These are the eigenvector and the average eigenvector of the i-th diagnostic data type X, respectively; Y i and Let be the feature vector and the average feature vector of the i-th diagnostic data type Y, respectively, i = 1, 2, ..., n.

[0049] Example 6. Combined with Figure 2 The intelligent diagnostic and treatment data signal conclusion processing module (2-2-3) described in Embodiment 4 above includes a disease judgment module, a strategy comparison module, and a plan generation module;

[0050] The disease judgment module is used to filter the disease types corresponding to the examination and treatment data by combining the prediction rate of the disease types output by the diagnostic model, and remove disease types with low probability.

[0051] When the number of disease types retained by the disease judgment module is 1, the disease judgment module directly sends the data signal of the retained disease type to the strategy generation module, which then refers to the standard examination and treatment strategy for the corresponding disease type to generate an examination and treatment plan that is compatible with the user's examination and treatment data.

[0052] The strategy comparison module is used to compare the standard diagnostic and treatment strategies of the retained disease types when the number of disease types retained by the disease judgment module is greater than 1. The comparison results are output to the plan generation module, which integrates the standard diagnostic and treatment strategies of the retained disease types to generate corresponding diagnostic and treatment strategies, and then generates a diagnostic and treatment plan that is adapted to the user's diagnostic and treatment data.

[0053] Example 7. Combined with Figure 3 The physical medical intelligent data communication system 1 described in Example 1 includes a detection equipment sensor data communication module 1-1, a diagnostic equipment sensor data communication module 1-2, a treatment equipment sensor data communication module 1-3, a treatment prescription sensor data communication module 1-4, and an intelligent detection, diagnosis, and treatment forward and reverse control data signal processor 1-5. The intelligent detection, diagnosis, and treatment forward and reverse control data signal processor 1-5 is connected to the detection equipment sensor data communication module 1-1, the diagnostic equipment sensor data communication module 1-2, the treatment equipment sensor data communication module 1-3, and the treatment prescription sensor data communication module 1-4 respectively. Figure 3 The hollow double arrows in the diagram represent the data signal feedback interface between the device and the external physical medical device unit module.

[0054] Example 8. Combined with Figure 4 and Figure 7 The intelligent diagnostic and treatment positive and negative control data signal processor 1-5 described in Embodiments 1 and 6 includes a diagnostic and treatment data signal receiving module 1-5-1, a diagnostic and treatment data signal verification module 1-5-2, a diagnostic and treatment data signal storage module 1-5-3, and a diagnostic and treatment data signal interaction module 1-5-4 connected in sequence with data signals; the intelligent diagnostic and treatment sensor data signal processor 1-5 is connected with the intelligent diagnostic and treatment data expert assistance module 2-1 with data signals.

[0055] Example 9. Combined with Figure 5 and Figure 7The external network health and medical data communication unit 3 for acquiring diagnostic and treatment standard samples as described in Example 1 includes a wireless data communication network 3-3 that is connected to the Internet+5G cloud server 3-1 and the remote health and medical big data server 3-2 respectively; wherein: the Internet+5G cloud server 3-1 includes an external network health and medical big data system designed using the most advanced existing logic programming technology; the remote health and medical big data server 3-2 includes big data signals storing external network health and medical standard samples; and the wireless data communication network 3-3 is connected to the intelligent diagnostic and treatment big data expert standard module 2-3.

[0056] Example 10. Combined with Figure 6 and Figure 7 The present invention proposes a method for using an intelligent big data expert-assisted treatment system for upgrading physical medical technology, characterized by the following specific steps:

[0057] Step 1, Construction of the intelligent big data expert-assisted treatment system: including the physical medical positive and negative control data communication unit (1) for real-time interaction of examination and treatment and the intelligent examination and treatment big data expert-assisted treatment unit (2) with core-shell composite structure, and the intelligent examination and treatment big data expert-assisted treatment unit (2) with core-shell composite structure and the external network health and medical data communication unit (3) for obtaining examination and treatment standard samples;

[0058] Step 2, Connection of receiving data signals of the intelligent big data expert-assisted treatment system: The intelligent big data expert-assisted treatment system is constructed to receive examination and treatment data signals given by physical medical institutions, specifically including: the intelligent examination and treatment positive and negative control data signal processor (1-5) in the physical medical positive and negative control data communication unit (1) for real-time interaction of examination and treatment, which integrates the measured data signals given by the corresponding detection equipment received by the detection sensing data communication module (1-1), the discrimination data signals given by the corresponding diagnostic equipment received by the diagnostic sensing data communication module (1-2), the treatment data signals given by the corresponding medical device treatment equipment received by the device treatment sensing data communication module (1-3), and the prescription treatment data signals given by the corresponding prescription equipment received by the prescription treatment sensing data communication module (1-4), and sends them to the core-shell composite structure intelligent examination and treatment big data expert-assisted treatment unit (2) for processing;

[0059] Step 3, connection of data signal transmission of the intelligent big data expert-assisted treatment system: The intelligent examination and treatment data signal conversion and processing module (2-2-1) in the core-shell composite structure intelligent examination and treatment big data expert-assisted treatment unit (2) sends the parsed examination and treatment expert plan data information to the intelligent examination and treatment positive and negative control data signal processor (1-5) in the real-time interactive physical medical positive and negative control data communication unit (1); Next, the intelligent examination and treatment positive and negative control data communication processor (1-5) sends the data to the detection sensor data communication module (1-1), diagnosis sensor data communication module (1-2), device treatment sensor data communication module (1-3) or / and prescription treatment sensor data communication module (1-4) in the real-time interactive physical medical positive and negative control data communication unit (1) according to different task lists, and finally sends it to the physical medical equipment unit of the corresponding physical medical institution;

[0060] Step 4, Upgrading of physical medical technology in physical medical institutions: Physical medical institutions can use the precise treatment plan provided by the intelligent big data expert-assisted treatment system to achieve direct control and treatment without human intervention. At the same time, the information can be stored in the intelligent big data expert-assisted treatment unit (2) of the core-shell composite structure to become the basis for subsequent follow-up treatment information.

[0061] The physical medical institutions mentioned in steps 2-4 of this embodiment 9 include: physical hospitals, mobile hospitals, telemedicine centers, community medical centers, health care centers, rehabilitation centers, sanatoriums or nursing homes, etc.

[0062] Example 11. Combining Figure 7 Further explanation of the technical embodiments of the present invention, Figure 7This is a panoramic structural diagram of an intelligent big data expert-assisted treatment system for upgrading physical medical technology proposed in this invention. It reflects the novel "three-in-one" structural design of the system, comprising a physical medical positive and negative control data communication unit 1 for real-time interaction in examination and treatment, a core-shell composite intelligent examination and treatment big data expert-assisted treatment unit 2, and an external network health and medical data communication unit 3 for acquiring examination and treatment standard samples. The core-shell composite intelligent examination and treatment big data expert-assisted treatment unit 2 is a unique technological upgrade method. It includes an intelligent examination and treatment data expert diagnostic processor 2-2 designed as the core structure, which is connected to the intelligent examination and treatment data expert-assisted treatment module 2-1 designed as the shell structure. The intelligent diagnostic and treatment big data expert standard module 2-3, the intelligent diagnostic and treatment data expert verification module 2-4, and the intelligent diagnostic and treatment data expert optimization module 2-5 are connected by data signals. The intelligent diagnostic and treatment data expert diagnostic processor 2-2, designed as a core structure, serves as the "central nervous system." It can receive input data signals from real-time interactive physical medical intelligent positive and negative control data signals, external network health and medical data signals from diagnostic and treatment standard samples, as well as data signals from various data experts for treatment assistance, data expert standard, data expert verification, and data expert optimization. After integration and processing, it becomes a collaborative and precise data signal output, which can directly perform counter-control and treatment assistance without manual intervention. At the same time, it can be stored in the "central nervous system" to become the basis for subsequent follow-up treatment information utilization.

[0063] Example 12. Combined with Figure 8 To further explain the specific application of this invention, Figure 8This diagram illustrates the data signal feedback connection structure of the intelligent big data expert-assisted treatment system proposed in this invention, which is used in physical medical institutions for upgrading physical medical technology. It reflects the data signal feedback connection between the intelligent big data expert-assisted treatment system and the detection equipment, diagnostic equipment, instrument treatment, and prescription treatment plans of the physical medical institution, enabling direct feedback-controlled treatment without manual intervention. It should be further noted that physical medical institutions, especially those at level 3 or above, have relatively good physical medical conditions in terms of hardware and software, but still face challenges in effectively utilizing the big data expert-assisted treatment technology to support precise treatment. Mobile medical institutions, on the other hand, are extensions of fixed hospitals, addressing the needs of emergency, remote, or special users. However, the hardware, software, and human resources of mobile medical institutions cannot compare with those of fixed hospitals. Therefore, based on existing mobile medical institutions that are extensions of physical medical institutions, the intelligent big data expert-assisted treatment system proposed in this invention is the best choice for constructing precise treatment plans for some complex and difficult diseases, ultimately guiding the implementation of precise treatment in clinical practice. This allows for continuous upgrading of the physical medical technology of mobile medical institutions, contributing to high-quality and efficient medical outcomes. If this invention is applied to hospitals or community medical facilities, remote medical facilities, rehabilitation facilities, convalescent facilities, and elderly care facilities that lack adequate physical medical conditions such as hardware and software, other than tertiary medical institutions, it will have a more significant effect on upgrading physical medical technology.

[0064] In the specific embodiments of the present invention, any descriptions not covered herein are known in the art and may be implemented with reference to such known techniques.

[0065] The above specific implementation methods and embodiments are specific support for the technical concept of an intelligent big data expert-assisted treatment system for upgrading physical medical technology proposed in this invention. They should not be used to limit the scope of protection of this invention. Any equivalent changes or modifications made based on the technical concept of this invention shall still fall within the scope of protection of this invention.

Claims

1. An intelligent big data expert-assisted treatment system for upgrading physical medical technology, comprising an external network health and medical data communication unit (3) for acquiring diagnostic and treatment standard samples, characterized in that, It also includes a physical medical positive and negative control data communication unit (1) for real-time interaction in examination and diagnosis, and a core-shell composite intelligent examination and diagnosis big data expert assistance unit (2). The core-shell composite intelligent examination and diagnosis big data expert assistance unit (2) is connected to the physical medical positive and negative control data communication unit (1) for real-time interaction in examination and diagnosis, and the external network health and medical data communication unit (3) for acquiring examination and diagnosis standard samples. The core-shell composite intelligent examination and diagnosis big data expert assistance unit (2) includes a core structure intelligent examination and diagnosis data expert diagnostic processor (2-2). The intelligent examination and diagnosis data expert diagnostic processor (2-2) is connected to the core structure of the core structure. The system is configured with data signal connections to the following modules: intelligent diagnostic and treatment data expert assistance module (2-1), intelligent diagnostic and treatment big data expert standard module (2-3), intelligent diagnostic and treatment data expert verification module (2-4), and intelligent diagnostic and treatment data expert optimization module (2-5). The intelligent diagnostic and treatment data expert optimization module (2-5) is connected to the intelligent diagnostic and treatment data expert assistance processor (2-1) and the intelligent diagnostic and treatment big data expert standard module (2-3) respectively. The intelligent diagnostic and treatment data expert verification module (2-4) is connected to the intelligent diagnostic and treatment data expert assistance processor (2-1) and the intelligent diagnostic and treatment big data expert standard module (2-3) respectively. The intelligent diagnostic data expert processor (2-2) of the core structure includes an intelligent diagnostic data signal conversion and processing module (2-2-1), an intelligent diagnostic data signal matching and processing module (2-2-2), an intelligent diagnostic data signal integration and processing module (2-2-3), an intelligent diagnostic data signal conclusion processing module (2-2-4), and an intelligent diagnostic data conclusion fault-tolerant processing module (2-2-5). The intelligent diagnostic data signal matching and processing module (2-2-2) is connected between the intelligent diagnostic data signal conversion and processing module (2-2-1) and the intelligent diagnostic data signal integration and processing module (2-2-3). The data signals of the module (2-2-3), the intelligent examination and treatment data signal conclusion processing module (2-2-4), and the intelligent examination and treatment data conclusion fault tolerance processing module (2-2-5) are sequentially and cyclically connected; wherein, the intelligent examination and treatment data expert diagnostic processor (2-2) of the core structure receives the data signal of the user's initial examination and treatment result sent by the physical medical positive and negative control data communication unit (1) of the real-time interaction of examination and treatment through the intelligent examination and treatment data expert auxiliary module (2-1), and intelligently processes the data signal of the initial examination and treatment result with the help of the examination and treatment standard sample data signal in the intelligent examination and treatment big data expert standard module (2-3) to generate the corresponding examination and treatment expert plan data signal; Specifically, the intelligent diagnostic and treatment data signal conversion and processing module (2-2-1) preprocesses the data signal of the user's initial diagnostic and treatment results sent by the intelligent diagnostic and treatment data expert assistance module (2-1). The intelligent diagnostic and treatment data signal matching and processing module (2-2-2) stores several pre-identification models corresponding to different disease types. The pre-identification models are set with diagnostic items for disease types, value ranges of detection items corresponding to different diagnostic items, and treatment method feedback data. The intelligent diagnostic and treatment data signal matching and processing module (2-2-2) imports the user's initial diagnostic and treatment result data signal into each pre-identification model. If there are one or more pre-identification results with a confidence level higher than the preset confidence threshold, the disease type corresponding to the pre-identification result and the preprocessed data signal of the user's initial diagnostic and treatment result are imported into the intelligent diagnostic and treatment data signal integration and processing module (2-2-3) for further diagnosis. Based on the diagnosis results, the corresponding healing expert plan data signal is generated; otherwise, the pre-identification results are arranged in descending order of confidence level. The system retrieves the standard data types and allowed value ranges of the first N pre-identification models and matches them with the user's initial diagnostic results data signals. Based on the matching results, it generates corresponding expert detection scheme data signals and feeds them back to the intelligent diagnostic data expert assistance module (2-1) for re-detection of the user. The intelligent diagnostic data signal integration and processing module (2-2-3) processes the diagnostic data signals to calculate the corresponding diagnostic disease types and the prediction rate for each diagnostic disease type. The intelligent diagnostic data signal conclusion processing module (2-2-4) performs conclusion analysis on the diagnostic disease types whose prediction rates meet the preset requirements and obtains the prediction results of the diagnostic expert scheme that are compatible with the initial diagnostic results. The intelligent diagnostic data conclusion error tolerance processing module (2-2-5) calculates the error tolerance rate of the diagnostic disease types whose prediction rates meet the preset requirements based on the prediction results of the diagnostic expert scheme. When the error tolerance rate of any diagnostic disease type meets the allowed error tolerance rate threshold, the diagnostic disease type is output. The intelligent diagnostic and treatment data expert assistance module (2-1) receives and parses the data signals of the healing expert plan or the detection expert plan sent by the intelligent diagnostic and treatment data expert diagnostic processor (2-2) with the core structure. Through the physical medical positive and negative control data communication unit (1) for real-time interaction of diagnosis and treatment, the parsed data signals of the healing expert plan or the detection expert plan are sent to the corresponding physical medical device unit according to different task lists.

2. The intelligent big data expert-assisted treatment system for upgrading physical medical technology according to claim 1, characterized in that, The intelligent diagnostic and treatment data expert verification module (2-4) receives the data signal of the user's initial diagnostic and treatment result sent by the physical medical positive and negative control data communication unit (1) for real-time interaction of diagnostic and treatment through the intelligent diagnostic and treatment data expert auxiliary module (2-1), compares it with the predicted result of the diagnostic and treatment expert scheme, evaluates the operating status of the intelligent diagnostic and treatment data expert diagnostic processor (2-2) of the core structure, and sends its evaluation result to the intelligent diagnostic and treatment data expert optimization module (2-5). When the error between the initial examination and treatment result and the predicted result compared with the examination and treatment expert plan is greater than the allowable error threshold, the intelligent examination and treatment data expert optimization module (2-5) performs global optimization on the core structure intelligent examination and treatment data expert diagnostic processor (2-2) based on the evaluation result and the examination and treatment standard sample data signal in the intelligent examination and treatment big data expert standard module (2-3); otherwise, the intelligent examination and treatment data expert optimization module (2-5) performs local optimization on the corresponding module of the core structure intelligent examination and treatment data expert diagnostic processor (2-2) based on the type of the evaluation result and the deviation data signal.

3. The intelligent big data expert-assisted treatment system for upgrading physical medical technology according to claim 1, characterized in that, The physical medical forward and reverse control data communication system (1) for real-time interaction of examination, diagnosis and treatment includes a detection equipment sensor data communication module (1-1), a diagnostic equipment sensor data communication module (1-2), a treatment equipment sensor data communication module (1-3), a treatment prescription sensor data communication module (1-4), and an intelligent examination, diagnosis and treatment forward and reverse control data signal processor (1-5); the intelligent examination, diagnosis and treatment forward and reverse control data signal processor (1-5) is connected to the detection equipment sensor data communication module (1-1), the diagnostic equipment sensor data communication module (1-2), the treatment equipment sensor data communication module (1-3), and the treatment prescription sensor data communication module (1-4) respectively.

4. The intelligent big data expert-assisted treatment system for upgrading physical medical technology according to claim 3, characterized in that, The intelligent diagnostic and treatment forward and reverse control data signal processor (1-5) includes a diagnostic and treatment data signal receiving module (1-5-1), a diagnostic and treatment data signal verification module (1-5-2), a diagnostic and treatment data signal storage module (1-5-3), and a diagnostic and treatment data signal interaction module (1-5-4) connected in sequence via data communication; the intelligent diagnostic and treatment forward and reverse control data signal processor (1-5) is connected to the intelligent diagnostic and treatment data expert assistance module (2-1) via data signal.

5. The intelligent big data expert-assisted treatment system for upgrading physical medical technology according to claim 1, characterized in that, The external network health and medical data communication unit (3) used to acquire diagnostic and treatment standard samples includes an Internet+5G cloud server (3-1), a wireless data communication network (3-2), and a remote health and medical big data server (3-3). The wireless data communication network (3-2) is connected to the Internet+5G cloud server (3-1) and the remote health and medical big data server (3-3) respectively. The wireless data communication network (3-3) is connected to the intelligent diagnostic and treatment big data expert standard module (2-3) with data signals.

6. A smart big data expert-assisted treatment system for upgrading physical medical technology according to any one of claims 1-5, characterized in that, When the intelligent diagnostic and treatment data signal integration processing module (2-2-3) in the intelligent diagnostic and treatment data expert diagnostic processor (2-2) of the core structure is triggered, it receives data signals from the intelligent diagnostic and treatment data expert auxiliary module (2-1), the intelligent diagnostic and treatment big data expert standard module (2-3), the intelligent diagnostic and treatment data expert verification module (2-4), and the intelligent diagnostic and treatment data expert optimization module (2-5), respectively, and converts the data signals from multiple data sources into diagnostic and treatment data signals in a unified format; when the fault tolerance rate of all diagnostic disease types does not meet the allowable fault tolerance rate threshold, the calculated fault tolerance rate is sent to the intelligent diagnostic and treatment data signal conversion processing module (2-2-1), and the intelligent diagnostic and treatment data signal conversion processing module (2-2-1) is re-triggered.

7. The intelligent big data expert-assisted treatment system for upgrading physical medical technology according to claim 6, characterized in that, The intelligent diagnostic and treatment data signal integration and processing module (2-2-2) is constructed based on a neural network and includes a feature extraction module, a correlation analysis module, a feature fusion module, and a classification module. The feature extraction module is used to extract feature vectors of different types of examination and diagnosis data; the correlation analysis module performs correlation analysis on the extracted feature vectors of different types of examination and diagnosis data; the feature fusion module jointly concatenates the feature vectors with correlation, and then inputs the fused features of the obtained related examination and diagnosis data into the classification module; the classification module combines the remaining non-correlated feature vectors sent by the correlation analysis module and the fused features sent by the feature fusion module to classify the corresponding diagnostic disease types and the prediction rate of each diagnostic disease type.

8. The intelligent big data expert-assisted treatment system for upgrading physical medical technology according to claim 7, characterized in that, The calculation formula used by the correlation analysis module is as follows: ； In the formula, It is the correlation coefficient adjustment factor between the diagnostic data types X and Y corresponding to the diagnostic disease type m. M is the total number of disease types obtained from the initial screening based on user examination and treatment data; It is the correlation coefficient between data types X and Y from medical examinations. and These are the feature vector and the average feature vector of the i-th diagnostic data type X, respectively. and These are the feature vector and the average feature vector of the i-th diagnostic data type Y, respectively. .

9. The intelligent big data expert-assisted treatment system for upgrading physical medical technology according to claim 6, characterized in that, The intelligent diagnostic and treatment data signal conclusion processing module (2-2-3) includes a disease judgment module, a strategy comparison module, and a plan generation module; The disease judgment module is used to filter the disease types corresponding to the examination and treatment data by combining the prediction rate of the disease types output by the diagnostic model, and remove disease types with low probability. When the number of disease types retained by the disease judgment module is 1, the disease judgment module directly sends the data signal of the retained disease type to the solution generation module. The solution generation module then refers to the standard examination and treatment strategy of the corresponding disease type to generate an examination and treatment plan that is compatible with the user's examination and treatment data. The strategy comparison module is used to compare the standard diagnostic and treatment strategies of the retained disease types when the number of disease types retained by the disease judgment module is greater than 1. The comparison results are output to the plan generation module, which integrates the standard diagnostic and treatment strategies of the retained disease types to generate corresponding diagnostic and treatment strategies, and then generates a diagnostic and treatment plan that is adapted to the user's diagnostic and treatment data.

10. The method of using the intelligent big data expert-assisted treatment system for upgrading physical medical technology according to claim 1, characterized in that, The specific steps include the following: Step 1, Construction of the intelligent big data expert-assisted treatment system: The physical medical positive and negative control data communication unit (1) used for real-time interaction of examination and treatment is connected to the intelligent examination and treatment big data expert-assisted treatment unit (2) with core-shell composite structure, and the intelligent examination and treatment big data expert-assisted treatment unit (2) with core-shell composite structure is connected to the external network health and medical data communication unit (3) used to obtain examination and treatment standard samples; Step 2, Connection of Data Signal Received by the Intelligent Big Data Expert Assisted Treatment System: The intelligent big data expert assisted treatment system is designed to receive diagnostic and treatment data signals from physical medical institutions. Specifically, it includes: the intelligent diagnostic and treatment positive and negative control data signal processor (1-5) in the physical medical positive and negative control data communication unit (1) for real-time interaction of diagnostic and treatment, which integrates the measured data signals received by the detection sensor data communication module (1-1) from the corresponding detection equipment, the discrimination data signals received by the diagnostic sensor data communication module (1-2) from the corresponding diagnostic equipment, the treatment data signals received by the device treatment sensor data communication module (1-3) from the corresponding device treatment equipment, and the prescription treatment sensor data communication module (1-4) from the corresponding prescription equipment. The prescription treatment data signal is sent to the intelligent diagnostic and treatment big data expert assistance unit (2) of the core-shell composite structure for processing; the physical medical positive and negative control data communication system (1) for real-time interaction of diagnosis and treatment includes a detection equipment sensor data communication module (1-1), a diagnostic equipment sensor data communication module (1-2), a treatment equipment sensor data communication module (1-3), a treatment prescription sensor data communication module (1-4), and an intelligent diagnostic and treatment positive and negative control data signal processor (1-5); the intelligent diagnostic and treatment positive and negative control data signal processor (1-5) is connected to the data signals of the detection equipment sensor data communication module (1-1), the diagnostic equipment sensor data communication module (1-2), the treatment equipment sensor data communication module (1-3), and the treatment prescription sensor data communication module (1-4), respectively; Step 3, connection of data signal transmission of the intelligent big data expert-assisted treatment system: The intelligent examination and treatment data signal conversion and processing module (2-2-1) in the core-shell composite intelligent examination and treatment big data expert-assisted treatment unit (2) sends the parsed examination and treatment expert plan data information to the intelligent examination and treatment positive and negative control data signal processor (1-5) in the physical medical positive and negative control data communication unit (1) for real-time interaction of examination and treatment; Next, the intelligent examination and treatment positive and negative control data communication processor (1-5) sends the data information according to different task lists to the detection sensor data communication module (1-1), diagnosis sensor data communication module (1-2), device treatment sensor data communication module (1-3) or / and prescription treatment sensor data communication module (1-4) in the physical medical positive and negative control data communication unit (1) for real-time interaction of examination and treatment, and finally sends it to the physical medical equipment unit of the corresponding physical medical institution; Step 4, Upgrading of physical medical technology in physical medical institutions: Physical medical institutions can use the precise treatment plan provided by the intelligent big data expert-assisted treatment system to achieve direct control and assistance treatment without human intervention. At the same time, the information can be stored in the intelligent big data expert-assisted treatment unit (2) of the core-shell composite structure to become the basis for subsequent follow-up treatment information utilization.

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