CN115458147B - Intelligent flaw detection classification platform - Google Patents

Intelligent flaw detection classification platform Download PDF

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CN115458147B
CN115458147B CN202211045156.2A CN202211045156A CN115458147B CN 115458147 B CN115458147 B CN 115458147B CN 202211045156 A CN202211045156 A CN 202211045156A CN 115458147 B CN115458147 B CN 115458147B
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data
service
classification
injury
wounded
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CN115458147A (en
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李向晖
李鑫
史宏志
雷联会
刘久弘
刘玲
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Third Medical Center of PLA General Hospital
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    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
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    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/67—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
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    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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Abstract

The invention provides an intelligent examining and classifying platform, which solves the technical problem that the existing examining and classifying means cannot be suitable for examining and classifying wounds in a large scale, in a wide region and in a long period. Comprising the following steps: the background management system is used for managing the APP subsystem and the interactive data and providing a uniformly scheduled service process to respond to the functional requirements of the APP subsystem; the APP subsystem is used for being deployed on the mobile terminal to form a data terminal for detecting the injury classification, providing a graphical interactive interface of the injury detection classification in a full period, receiving identity management, data management and service management of the background management system through the graphical interactive interface, and executing data processing and data display in the service process; and establishing a data exchange link with the APP subsystem by using a communication public network between the background management system and the data terminal. And a unified general service process of all phases of the whole period of the examination injury classification is provided, and a data interaction interface and a data processing process of the general service are provided, so that the acquisition and processing processes of the examination injury data are unified and standardized. And the telescoping performance is improved.

Description

Intelligent flaw detection classification platform
Technical Field
The invention relates to the technical field of detection injury data processing, in particular to an intelligent detection injury classification platform.
Background
The examination and injury classification is to distinguish which wounded persons need immediate treatment, which wounded persons can delay treatment, and which wounded persons possibly need to give up treatment so as to obtain the maximum number of rescuing wounded persons, so that the survival rate of wounded persons can be effectively improved during war and disaster burst, and the disability rate is reduced. Conventional effective triage methods include simple classification and rapid treatment (Simple Triage And Rapid Treatment, START), triage Checklist (TC), pre-hospital index (prehospital index, PHI), glasge score, trauma Score (TS), CRAMS score, simple trauma score, and the like. The auxiliary means used in the existing injury detection process comprise providing a prefabricated color band or label for manually marking the injury of the wounded, and the prefabricated color band or label is used for meeting the on-site injury classification; and the special data terminal is used for storing and forwarding the injury data acquired on site and is used for recording and summarizing the injury data.
When dealing with large-scale, wide-area and long-duration emergency rescue sites of sudden disasters, the conventional auxiliary technical means cannot effectively support the data guarantee of the whole period of the detection injury classification. In the aspect of on-site injury detection data formation, the lack of a general data acquisition caliber of on-site injury detection classification causes the influence of intervention time, professional quality of personnel and rescue coordination capacity on emergency rescue personnel, and the implementation ambiguity exists on a specific injury detection classification method, which is reflected in version difference of the adopted injury detection method, quantitative difference of acquisition item calibration standard in the same method and the like. In the aspect of data processing, the method for converting the detection information into data is lagged, and the initial detection classification data in the on-site rescue stage lacks a rapid acquisition method and a unified acquisition format, so that the consistency of a data composition structure in parallel acquisition is not facilitated. The discrete monitoring data acquisition mode and the dynamic medical manpower resource allocation in the medical care transfer and hospital treatment stage lack effective data fusion means, so that the full period of the examination injury classification can not form the data continuity of the examination injury classification basis and the result. Effective data analysis of the whole treatment process cannot be established, so that diagnosis and treatment resource allocation efficiency of the wounded condition in the emergency response process is low, and response feedback efficiency of an emergency medical system cannot be guaranteed. The method can not form an integral treatment evaluation, is unfavorable for forming scientific treatment, and has no guiding significance for the capacity construction of professional rescue teams.
In order to enable efficient medical resources to save more wounded in a short time, improvements and innovations in triage tools are needed.
Disclosure of Invention
In view of the above problems, the embodiment of the invention provides an intelligent examining and classifying platform, which solves the technical problem that the existing examining and classifying means cannot be suitable for examining and classifying wounds in a large scale, in a wide region and in a long period.
The intelligent flaw detection and classification platform provided by the embodiment of the invention comprises the following components:
the background management system is used for managing the APP subsystem and the interactive data, and providing a uniformly scheduled service process to respond to the functional requirements of the APP subsystem;
the APP subsystem is used for being deployed on the mobile terminal to form a data terminal for detecting injury classification, providing a graphical interactive interface of the injury detection classification in a full period, receiving identity management, data management and service management of a background management system through the graphical interactive interface, and executing data processing and data display in the service process;
and a data exchange link between the background management system and the data terminal and the APP subsystem is established by utilizing a communication public network.
In an embodiment of the invention, the system further comprises a WEB end, wherein the WEB end is used for providing a data interaction interface of the background management system on the deployed browser, and maintaining and updating the service and the function of the background management system through the data interaction interface; the background management system and the WEB end form a B/S framework, background management is carried out through the WEB end, the background management system and the data terminal for deploying the APP subsystem form a C/S framework, and parallel detection injury classification processing of full detection injury classification period is carried out on massive wounded persons.
In an embodiment of the present invention, the background management system includes a software architecture, where the software architecture includes:
the infrastructure layer is used for applying network resources, storage resources and computing resources to resource suppliers to form background controllable resources, and acquiring hardware description and input/output data encapsulation description of the acquisition equipment and the monitoring equipment to form software definition equipment;
the data architecture layer is used for configuring the background controllable resources to form a data cache storage frame, a data persistence storage frame, a distributed file storage frame and a cluster computing frame;
the business service layer is used for establishing front-end service of each stage in the whole period of the injury detection classification by utilizing the storage frame and the calculation frame to form a front-end service frame;
the service support layer is used for establishing a system service frame supporting the front-end service to run in parallel at different data terminals by utilizing the storage frame and the computing frame;
the front-end expression layer is used for forming a graphic object by utilizing the graphic interaction frame, establishing an interaction interface of the graphic object, binding a service process through the interaction interface, and constructing a data interaction interface of exchanging service data when a WEB terminal or an APP subsystem is deployed through the graphic object.
In an embodiment of the present invention, the front-end service framework includes:
The data terminal registration management service is used for forming a data interaction interface, acquiring data of a software and hardware environment of the mobile terminal for deploying the APP subsystem to generate a terminal identifier, binding the APP subsystem login identity with the terminal identifier to be used as the data terminal registration identifier for data terminal management, and completing corresponding data exchange and storage;
and the doctor registration management service is used for forming a data interaction interface, registering the identity validity of the doctor participating in the whole period of the examination injury classification, providing inquiry service, correction service and statistics service of wounded information for the qualified doctor, and completing corresponding data exchange and storage.
In an embodiment of the present invention, the front-end service framework includes:
the wounded registration management service is used for forming a data interaction interface, registering the wounded identity according to the initially allocated wounded identity, and carrying out wounded monitoring data fusion according to the wounded identity to form wounded information so as to complete corresponding data exchange and storage;
the hardware connection adapting service is used for forming a data interaction interface, providing software definition equipment to adapt to hardware equipment in the process of initializing a link between the data terminal and the hardware equipment, establishing a data link through communication parameters, and forming analysis of link data through a data encapsulation protocol to finish corresponding data exchange and storage;
The diagnosis auxiliary coding service is used for forming a data interaction interface, providing a hierarchy diagnosis interaction logic of the injury according to an injury coding table, forming a standard code after injury diagnosis, and completing corresponding data exchange and storage;
the method comprises the steps of forming a data interaction interface, establishing standard flow steps and step instructions for determining a flaw detection method, forming implementation limiting logic among the steps, providing flaw detection process integrity check, and completing corresponding data exchange and storage;
the intelligent selection service is used for forming a data interaction interface, recommending the detection method according to the stage in the whole detection classification period and the detection classification data acquisition state, and completing corresponding data exchange and storage;
and the examining and injuring classification evaluation service is used for forming a data interaction interface, forming a data analysis and evaluation process of each stage according to the accumulated examining and injuring classification data, carrying out quantitative evaluation on the stage injury condition, and completing corresponding data exchange and storage.
In an embodiment of the present invention, the front-end service framework includes:
and the synchronous updating service is used for carrying out centralized control on the caching time limit and the caching content, caching the service codes and the service data provided by the background management system service framework in the data terminal, and completing corresponding data transmission and log.
In an embodiment of the present invention, the APP subsystem includes:
the examining doctor management module is used for requesting the data terminal to register the management service and the doctor registering the management service to form a data interaction interface for managing doctor resources;
the wounded data management module is used for requesting wounded registration management service and hardware connection adaptation service to form a data interaction interface for wounded condition management;
the flaw detection diagnosis auxiliary module is used for requesting diagnosis auxiliary coding service and flaw detection method navigation service to form a data interaction interface when the flaw detection classification method is implemented at each stage of flaw detection classification;
the intelligent selection module is used for intelligently selecting a data interaction interface for switching the injury detection method formed according to the updated state of the wounded information at each stage of the injury detection classification according to the method;
and the examining and injuring classification evaluation module is used for forming a data interaction interface of classifying and evaluating at each stage of examining and injuring classification according to examining and injuring classification evaluation service.
In an embodiment of the present invention, the APP subsystem further includes:
according to the requirements of the inspection and injury classification site, the method comprises the following steps:
the wounded identification printing module is used for connecting the peripheral equipment by utilizing the hardware connection adaptation service to form a wounded identification label and controlling a data interaction interface output by the peripheral equipment;
The on-site manual acquisition module is used for connecting the voice recognition component by utilizing a hardware connection adaptation service and forming an on-site manual acquisition process by combining a manually entered data interaction interface;
the on-site flaw detection classification module is used for forming an on-site flaw detection process according to the diagnosis auxiliary coding service and the flaw detection method navigation service.
In an embodiment of the present invention, the APP subsystem further includes:
formed according to the classified transportation requirement of the wound:
the wounded identification recognition module is used for establishing a data interaction interface for wounded information output according to the wounded registration management service;
the first data acquisition module is used for forming a data interaction interface connected with the monitoring equipment according to the hardware connection adaptation service and forming a data interaction interface for managing the wounded condition according to the wounded registration management service;
the wounded information display module is used for forming a data interaction interface of wounded information according to doctor registration management service and wounded registration management service;
the first method selection module is used for forming a data interaction interface of classification evaluation in the inspection classification transfer stage according to the method intelligent selection module;
the first classification evaluation module is used for forming a data interaction interface of classification evaluation of the examination injury classification transfer stage according to the examination injury classification evaluation module.
In an embodiment of the present invention, the APP subsystem further includes:
formed according to the requirements of the hospital treatment:
the second data acquisition module is used for forming a data interaction interface connected with the monitoring equipment according to the hardware connection adaptation service and forming a data interaction interface for managing the wounded condition according to the wounded registration management service;
the second method selection module is used for forming a data interaction interface of classification evaluation of the stage in the examination injury classification hospital according to the method intelligent selection module;
the second classification evaluation module is used for forming a data interaction interface of classification evaluation of the stage in the examination injury classification hospital according to the examination injury classification evaluation module.
The intelligent detection and injury classification platform background management system provided by the embodiment of the invention provides a unified detection and injury classification general service process in each stage of the whole cycle, and a data interaction interface and a data processing process of the general service, so that the detection and injury data acquisition and processing process is unified and standard. The compatibility of data transfer and fusion among different data terminal holders in different injury detection stages is ensured. The intelligent flaw detection classification platform updates the unified specification or the local rule, so that the corresponding complete service process or local data processing process can be synchronously updated in each data terminal, and stronger scalability is provided for the improvement of the service scale and the service quality of the platform.
Drawings
Fig. 1 is a schematic diagram of an architecture of an intelligent examining and classifying platform according to an embodiment of the invention.
Fig. 2 is a schematic software architecture diagram of a background management system of an intelligent flaw detection classification platform according to an embodiment of the invention.
Fig. 3 is a schematic diagram of a business service framework provided by the intelligent flaw detection classification platform in the background management system according to an embodiment of the invention.
Fig. 4 is a schematic diagram of a front-end functional architecture provided by an intelligent detection and classification platform in an APP subsystem according to an embodiment of the present invention.
Fig. 5 is a schematic flow chart of an intelligent selecting method of the intelligent examining and classifying platform aiming at an examining and classifying method in a background management system according to an embodiment of the invention.
Fig. 6 is a schematic diagram of an intelligent selecting device for detecting and classifying wounds according to an embodiment of the invention.
Detailed Description
The present invention will be further described with reference to the drawings and the detailed description below, in order to make the objects, technical solutions and advantages of the present invention more apparent. It will be apparent that the described embodiments are only some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
An intelligent injury detection classification platform according to an embodiment of the invention is shown in fig. 1. In fig. 1, the present embodiment includes:
the background management system 100 is used for managing the APP subsystem and the interaction data, and providing a uniformly scheduled service process to respond to the functional requirements of the APP subsystem.
The management is performed by the necessary authentication. The computing resources and storage resources that make up the service may be provided by a server and a database in data connection with the server. Managed content and objects include, but are not limited to, user identity, wounded identity of an APP subsystem deployed on a mobile terminal, unified storage management of collected data and interaction data of a service process, and the like. The service process aims at functional requirements, and comprises, but is not limited to, an interactive interface, an updating service, a preset standard form, an updating service, a detection method interactive guide information, an updating service, a detection classification method intelligent selection service, a full-period wounded data fusion service, a monitoring device data fusion service, a field voice recognition service and the like. The partial services may be cached in the APP subsystem as a modular component of the APP subsystem, depending on frequency of use and priority.
The APP subsystem 200 is configured to be deployed on a mobile terminal to form a data terminal for detecting injury classification, provide a graphical interactive interface for the whole period of injury detection classification, receive identity management, data management and service management of a background management system through the graphical interactive interface, and execute data processing and data display in the service process.
The flaw detection and classification function of the data terminal realizes data interaction through the interaction interface set provided by the APP subsystem. And forming a corresponding interactive interface set aiming at different functions of each injury detection stage. The interactive interface is formed by a preset front-end interface organization frame and comprises an independent interface and a local interface, the interactive interface forms a data interaction input-output interface and an interaction data formatting display, the interactive interface is connected with a corresponding service data processing process or service calling process, and the data processing and data display process is triggered according to a preset interactive object.
The background management system 100 and the data terminal establish a data exchange link with the APP subsystem 200 by using a communication public network.
The communication public network includes but is not limited to heterogeneous network networking modalities of wide area networks and local area networks. The mobile terminal has the necessary wireless link interface and wired link interface. Mobile terminals, including but not limited to cell phones, computers or custom data terminals, may form wireless/wired connections with local device data ports through port adapters.
The data terminal is controlled to form a service cache. The buffer memory can make the data interaction process based on unified specification stable, and overcomes the probability of detecting damage classification interruption when the data exchange link is interrupted by interference. The service cache includes, but is not limited to, data interaction interfaces related to the service, controlled service execution code, service process data, and the like.
The intelligent examining and classifying platform provided by the embodiment of the invention is used for adapting the operating system resources of the mobile terminal through the flexibly deployed APP subsystem to form the data terminal of each relevant medical care worker in the whole examining and classifying period. The background management system provides a unified general service process of each stage of the whole period of the examination injury classification, and a data interaction interface and a data processing process of the general service, so that the acquisition and processing processes of the examination injury data are unified and standardized. The compatibility of data transfer and fusion among different data terminal holders in different injury detection stages is ensured. The intelligent flaw detection classification platform updates the unified specification or the local rule, so that the corresponding complete service process or local data processing process can be synchronously updated in each data terminal, and stronger scalability is provided for the improvement of the service scale and the service quality of the platform.
As shown in FIG. 1, in an embodiment of the present invention, the method further includes a WEB terminal 110, configured to provide a data interaction interface of the background management system on the deployed browser, and maintain and update services and functions of the background management system through the data interaction interface.
The background management system 100 forms a B/S architecture with the WEB site, and performs background management through the WEB site. The background management system 100 and the data terminal for deploying the APP subsystem 200 form a C/S architecture, and the parallel detection injury classification processing of the detection injury classification full period is carried out on massive wounded persons. The APP subsystem 200 is in data connection with an identification printer, such as an attachable label printer, forming explicit binding of the wounded identity with the initial classification information via a data terminal adaptation port. And further, the monitoring equipment data connected with the monitoring equipment data such as an electrocardiographic monitoring equipment, a laboratory or an analysis instrument connected with a laboratory analysis instrument and the like in the whole period of the wounded detection and injury classification through a data terminal adapting port so as to obtain various monitoring data.
The intelligent flaw detection classification platform provided by the embodiment of the invention takes a background management system as a core, and forms a B/S architecture for a manager. The low cohesiveness of the interaction between B/S is adapted to the balance of the restriction enforcing of the background management authority and the access flexibility. The medical workers facing the full period of the examination injury classification form a C/S framework, and the high coupling of system scheduling among C/S is used for adapting to the synchronous and interactive concurrent scheduling complexity of the data of the full period of the examination injury classification.
The software architecture of the intelligent flaw detection classification platform forming the background management system according to an embodiment of the present invention is shown in fig. 2. In fig. 2, the software architecture includes:
the infrastructure layer 110 is configured to apply for a network resource, a storage resource, and a computing resource to a resource provider to form a background controllable resource, and obtain a hardware description and an input/output data package description of the collection device and the monitoring device to form a software definition device.
The resource types provided by the resource provider include, but are not limited to, network resources, storage resources and computing resources, the resources include cloud hardware resources or local hardware resources, and the resource provider provides management tools to form background controllable resources. The hardware description and the input/output data encapsulation protocol of the equipment are obtained to form software definition equipment for specific hardware peripheral equipment, and the hardware and protocol description is obtained by matching corresponding software definition equipment with real equipment to form a data exchange foundation of a background management system and the peripheral equipment.
In one embodiment of the invention, the types of software defined devices include, but are not limited to, label printers, various types of monitoring devices, and data workstations for inspection and checking.
The data architecture layer 120 is configured to form a data cache storage framework, a data persistence storage framework, a distributed file storage framework and a cluster computing framework by using the background controllable resources.
And forming a special resource and resource configuration tool set by using the background controllable resource through data processing software with a targeted data processing function. The configuration requirements and the configuration approaches of different services on resources are met.
In one embodiment of the invention, redis (Remote Dictionary Server) is adopted to form a data cache storage frame, mySql relational database management system is adopted to form a data persistence storage frame, mongoDB non-relational database management system is adopted to form a distributed file storage frame, and Hadoop distributed file system is adopted to form a cluster computing frame. Creating the need for high performance calculations for specific data types.
The business service layer 130 is configured to establish front-end services of each stage in the whole period of the injury detection classification by using the storage frame and the calculation frame, so as to form a front-end service frame.
The service resources and service tools formed by the frames build the processing logic and logic process packages (codification) of services that directly generate data interactions with the WEB side or APP subsystem as the front-end. The services formed include, but are not limited to, user authentication procedures for front-end interactions, user management procedures, data collection procedures, data fusion procedures, and the like.
In an embodiment of the present invention, the front-end service framework relates to each stage in the whole period of injury detection classification, including but not limited to services such as voice input, injury information input, label printing, manual data input, equipment data input, label information identification, injury data fusion, injury detection method regression and injury detection classification data storage, login authentication, user management, injury information retrieval, intelligent injury detection classification, injury detection evaluation and the like, which relate to front-end interaction.
And the service supporting layer 140 is used for establishing a system service framework supporting the front-end service to run in parallel at different data terminals by utilizing the storage framework and the computing framework.
And forming a system service process of a background management system for guaranteeing the front-end parallel process through the resources and tools provided by the frames.
In one embodiment of the invention, the system service procedures include, but are not limited to, caching services (e.g., redis), logging services (e.g., EFK), file services (e.g., fastDFS), data routing services (e.g., service oriented architecture services (Dubbo), messaging services (e.g., rocketMQ), damage detection method intelligent selection services (e.g., ANN), and data transfer services.
The front-end expression layer 150 is used for forming a graphic object by using a graphic interaction framework, establishing an interaction interface of the graphic object, binding a service process through the interaction interface, and establishing a data interaction interface of exchanging service data when a WEB terminal or an APP subsystem is deployed through the graphic object.
The deployment comprises the deployment on a browser at a WEB end or the deployment on a mobile terminal of an APP subsystem. The deployment process running service forms a management interactive interface in a browser or forms an APP interactive interface in mobile terminal data. Deployment on the browser ends with the browser closed, and the deployment on the mobile terminal may form a cache of services and service data, depending on the system settings.
In one embodiment of the present invention, the graphical interactive frameworks used for forming the interactive interface for the WEB side include, but are not limited to, html5, CSS3, layui, ajax, jquery, and the like. Graphical interaction frameworks employed for interaction interfaces formed by the APP subsystem include, but are not limited to, yue, recat, and Angular, and the like.
According to the intelligent flaw detection classification platform, the background controllable resources are utilized to form specific service aiming at the whole cycle of flaw detection classification of a single flaw at the front end and background guarantee service which is synchronously and parallelly implemented among APP subsystems at the front end, so that the platform can effectively balance various software and hardware resources according to disaster space, rescue time, the quantity of the flaw and rescue resource scale, and the application flexibility and stability of the platform are realized.
The business service framework provided by the intelligent flaw detection classification platform in the background management system according to the embodiment of the invention is shown in fig. 3. In fig. 3, the front-end service framework 300 of the present embodiment includes:
the data terminal registration management service 310 is configured to form a data interaction interface, collect data of a software and hardware environment for a mobile terminal deploying the APP subsystem to generate a terminal identifier, bind the APP subsystem login identity with the terminal identifier to be used as a data terminal registration identifier for data terminal management, and complete corresponding data exchange and storage.
The software and hardware environment of the data terminal includes, but is not limited to, a processor, a network adapter, a hardware identifier of a terminal motherboard, and a discrete function value formed by version numbers or trusted computing of key components in a terminal operating system. The APP subsystem login identity usually adopts the login identity and the password of a doctor. The identity and the terminal identification are bound to form the binding of the user and the data terminal, so that the safety and the controllability of the generation, modification and application processes of the detection injury classified data are ensured, and the data can be traced.
In an embodiment of the present invention, a service procedure for registering a management service for a data terminal includes:
collecting a terminal identifier of a current data terminal when a doctor logs in the data terminal;
Comparing doctor identity with terminal identification in authentication data managed by the system, and endowing a link identification to a data exchange link established by the data terminal and a background management system when the comparison is passed;
and recording the uplink data of the data terminal and the data request of the data terminal according to the link identification.
In one embodiment of the invention, the link identifier consists of a link setup time, a terminal identifier and a doctor identifier.
The embodiment constructs a unilateral demand recording mode, records the artificial data behaviors of the data terminal, and provides behavior basic data for classifying and evaluating the examination injuries for doctors who perform data generation and acquire examination injury data support on site.
And the doctor registration management service 320 is used for forming a data interaction interface, registering the identity validity of the doctor participating in the whole period of the examination injury classification, providing inquiry service, correction service and statistics service of the wounded information for the qualified doctor, and completing corresponding data exchange and storage.
Identity validity registration includes registration of relevant attributes of doctor login identity, location, expertise, physical bearing degree, workload and other examination injury classification capabilities. In the process of participating in the examination injury classification, the identity validity of doctors can form quantitative differences along with the examination injury participating projects. The compliance doctor refers to doctor resources which are subjected to identity validity assessment and meet the requirement of determining stage examining and damaging capacity in the whole period of examining and damaging classification. The identity validity registration is used for determining the resources of the compliance doctor, so that scarce human resources and professional skill resources can be well allocated.
In one embodiment of the present invention, the doctor registration management service includes:
authenticating the login identity of the doctor, and adding the doctor into an available flaw detection resource list after the authentication is successful;
and selecting a compliance doctor from the available injury checking resource list according to the identity validity data according to the staged requirements of the injury checking classification, and distributing wounded persons to the compliance doctor with the closest requirement matching degree.
The matching degree strategy of the selected compliance doctor is carried out according to the matching priority of the body bearing degree reflected by the position of the wounded person, the work load quantity reflected by the time of bearing the wounded person, the professional skill, the age of the doctor and the continuous login time.
In one embodiment of the present invention, a service process of querying a service includes:
providing a search tool for searching the injury detection classification data of the wounded person under the name of the doctor;
a formatted presentation template is provided for retrieving wounded information.
In one embodiment of the present invention, a service procedure of the correction service includes:
providing a modification tool for wounded information in a formatted presentation of the retrieved wounded information;
the modification tool records modification content to form modification log data.
In an embodiment of the present invention, a service process of the statistical service includes:
And providing a classification statistics tool interface, and carrying out the injury classification statistics of the information of the injured person under the doctor name and providing a classification statistics display template according to the interaction instruction.
The doctor registration management service uses identity validity registration to provide a quantified basis for availability of doctor resources. The allocation of doctor resources can coordinate and give consideration to physical conditions, workload and professional skills of the doctor, so that the doctor resources can be complemented by personnel in the same stage of examining and damaging classification, and the skills can be reused in different stages. And the change difference of the identity validity in the whole period of the examination injury classification is utilized to form quantification of the workload of doctors, so that an accurate basis is provided for further medical resource allocation.
The wounded registration management service 330 is configured to form a data interaction interface, register the identity of the wounded according to the initially allocated wounded identifier, and perform wounded monitoring data fusion according to the identity of the wounded to form wounded information, so as to complete corresponding data exchange and storage.
The victim's identification is constructively distributed by the medical staff first contacting the victim as an anchor for the identity data and the monitored data. The wounded identification is used as a digital index to link the wounded basic identity data and technical injury detection classification data.
In one embodiment of the present invention, the service procedure of the wounded registration management service includes:
Providing a key value binding with the wounded mark and a data structure according to the wounded mark;
storing identity data and monitoring data in the injury detection classification into a data structure through key values in the whole period of injury detection classification of the wounded person;
and continuously fusing the identity data and the monitored data according to the key characteristics in the key value data structure in the whole period of the wounded injury detection classification to form wounded information.
In one embodiment of the present invention, the key-value versus data structure is:
wounded person identification Key name ： Time stamp Acquired data
The wounded registration management service provides key values for the data structure aiming at time randomness and fault tolerance requirements of wounded information supplementation, so that gradual correction of the same information type is formed, gradual perfection of the injury assessment information type is formed, and timeliness and integrity of formed data can be effectively separated and effectively fused. The method is fully suitable for the operational compatibility of emergency data acquisition in the first stage of the detection injury classification and data perfection in other stages.
The hardware connection adapting service 340 is configured to form a data interaction interface, provide a software definition device to adapt to a hardware device in a link initialization process between the data terminal and the hardware device, establish a data link through communication parameters, and form analysis of link data through a data encapsulation protocol, so as to complete corresponding data exchange and storage.
The software defined device provides system resources for the background management system. The link initialization process has handshake signals expressing initial parameters and can be used for identifying basic hardware types of two communication parties.
In one embodiment of the present invention, a service procedure of a hardware connection adaptation service includes:
acquiring a handshake signal of the hardware device in the process of initializing the connection with the hardware device;
matching the alternative device type in the software defined device list according to the decoded handshake signal;
matching an optional device list according to the types of the optional devices, and setting the number of handshake cycles according to the difference of software defined communication parameter versions of the optional devices;
and providing a version of software defined communication parameters in a handshake period for link communication, selecting the software defined communication parameters with highest adaptation degree to initialize a communication link, and selecting a corresponding hardware device packaging protocol to establish a final data exchange link for data analysis.
The hardware connection adaptation service utilizes software defined device resources to improve stability of data connections with hardware devices. Meanwhile, the compatibility of the connection between the mobile terminal and the peripheral equipment of the APP subsystem is ensured.
The diagnosis auxiliary coding service 350 is used for forming a data interaction interface, providing a hierarchical diagnosis interaction logic of the injury according to the injury coding table, forming a standard code after the injury diagnosis, and completing corresponding data exchange and storage.
Those skilled in the art will appreciate that common traumas can form a more detailed category of traumas from empirical data and hierarchically encode the category of traumas to form a code map structure. And forming a hierarchy diagnosis interaction logic for the injury screening according to the coding mapping structure, wherein the hierarchy diagnosis interaction results in corresponding standard codes when the injury is determined.
In an embodiment of the invention, an ICD-11 emergency rescue diagnosis coding table is adopted to construct a coding mapping structure, and the coding mapping structure is as follows:
in one embodiment of the present invention, a service procedure of a diagnosis auxiliary encoding service includes:
forming a hierarchical diagnosis interaction logic interaction display interface and receiving interaction input;
and determining the standard codes of the traumas from the code mapping structure according to the interactive input and displaying the traumas description.
The diagnosis auxiliary coding service provides an interactive selection method based on a data coding mapping structure. Based on the coding mapping structure, rapid statistical analysis can be performed, a disease spectrum model is constructed, and a powerful basis is provided for rescue decision support.
The injury detection method navigation service 360 is used for forming a data interaction interface, establishing standard flow steps and step instructions for determining an injury detection method, forming implementation limiting logic among the steps, providing an injury detection process integrity check, and completing corresponding data exchange and storage.
It will be appreciated by those skilled in the art that the method of classifying lesions is formed in accordance with different diagnostic models of classifying lesions. Some triage methods may overlap in local steps and contradict other local steps. There is therefore a need to provide the physician with an accompanying indication of the standard flow steps of the wound testing method.
In an embodiment of the present invention, a service procedure of a navigation service of a flaw detection method includes:
establishing standard flow steps for determining the injury detection method;
establishing accompanying instructions corresponding to the standard flow steps;
establishing implementation limiting logic between the current flow step and the following step;
forming a trigger indication when implementing a defined logical trigger;
and forming a process integrity check for determining the completion of the marking in the implementation process of the injury detection method.
The navigation service of the flaw detection method establishes an accompanying prompt aiming at the flaw detection step so as to ensure that the interference factors do not play negative effects in the current flaw detection process. The implementation of the fault detection behavior is ensured by limiting logic with the implementation of the following steps, and potential errors or faults are eliminated by triggering the indication. And guaranteeing complete acquisition of appreciation data through process integrity check. The method can avoid the interference of environmental factors when the method for determining the injury is applied, and reduce the grasping difficulty of doctors on various methods for classifying the injury.
The intelligent selection service 370 is used for forming a data interaction interface, recommending the detection method according to the stage in the whole detection classification period and the detection classification data acquisition state, and completing corresponding data exchange and storage.
Those skilled in the art will appreciate that different methods of examining wounds have significant differences in the thought of examining wounds and the use of data. The full period of injury detection classification relates to continuous fusion of wounded information in different stages. Along with the fusion of wounded information, the dimension and the data volume of wounded detection information are accumulated continuously. The method for detecting the injury by the progressive change of the monitored data quantity and the monitored data type of the wounded can adapt to the data change, namely, accurate recommendation of the method for detecting the injury is formed aiming at the data change, new classification of detecting the injury is formed on the data, and the data utilization rate and the efficiency and quality of classification of detecting the injury are improved.
The intelligent selection service provides a processing model based on dynamic big data for selecting the detection and injury classification method by utilizing full computing resources and storage resources of a background management system, and the intelligent selection of the detection and injury classification method is realized by utilizing the model. The requirements of doctors on the emergency examination and cure professional ability are reduced, and meanwhile, the doctor resources which can participate in the emergency examination are enlarged. The selection suggestion of the injury classification method can be timely given according to the dynamic change of the monitoring data of different stages in the whole period of injury classification through intelligent selection, so that the subjective injury detection diagnosis experience of doctors and the data analysis suggestion are combined to form timely injury detection diagnosis for injured individuals, and the delayed injury detection diagnosis time and delayed illness state are avoided. The service support can be obtained in the process of detecting and classifying the wounds with the participation of all the digital terminals, so that the efficiency of detecting and classifying the whole wounds of the platform and detecting and damaging resources are greatly improved.
The examining and injury classifying and evaluating service 380 is used for forming a data interaction interface, forming a data analyzing and evaluating process of each stage according to the accumulated examining and injury classifying data, and quantitatively evaluating the stage injury condition to finish corresponding data exchange and storage.
Each triage method includes a process of scoring the results for the obtained wound data. The injury data is quantized and weighted item by item, the injury scoring evaluation process is regularized and logically formed into an evaluation rule, and the quantized and weighted injury data is processed to form injury evaluation of the injured person in each stage. The standard injury detection classification method has corresponding injury evaluation rules.
In one embodiment of the invention, the temperature, respiration, blood pressure and heart rate and oxygen saturation are automatically scored according to the monitor values according to manual recording of age and GLS scores, and quantitative evaluation is formed according to set evaluation thresholds so as to distinguish mild, moderate, severe and extremely critical or dying wounded persons. The quantization rules are evaluated as follows:
scoring of 3 2 1 0 1 2 3
Body temperature (DEG C) ≤30 30.1-32 32.1-35 35.1-38 38.1-39 39.1-41 ≥41.1
Respiration (times/minutes) ≤5 6-9 10-11 12-24 25-34 35-49 ≥50
Heart rate (times/minute) ≤39 40-51 51-60 60-100 101-139 140-179 ≥180
Systolic blood pressure (mmHg) ≤69 70-79 80-89 90-139 140-159 160-179 ≥180
SPO2(％) ≤84 85-89 90-95 96-100
GLS scoring ≤4 5-7 8-12 13-15
Age (age) ≤44 45-54 55-64 ≥65
In one embodiment of the present invention, the service procedure of the triage evaluation service includes:
Forwarding the injury assessment of the transit phase to the transit destination;
receiving a transfer instruction of a transfer destination, and determining a new transfer destination according to the transfer instruction;
medical resource allocation for subsequent treatment is carried out according to the injury evaluation at the stage of the hospital;
when the injury assessment finds a worsening trend and reaches an assessment alarm threshold, alarm information is formed that is sent to the corresponding compliance doctor.
The examining and damaging classifying and evaluating service realizes the programming of the general evaluating process. Meanwhile, the injury assessment is linked with the subsequent linkage program to form a dynamic medical resource allocation basis and an injury alarm flow. The detection injury classification evaluation is accompanied with the detection injury classification full period, the wounded monitoring can be always in an evaluation state, and the medical resources can be reasonably allocated. The combination of the evaluation result and the platform evaluation process can form a guiding basis for the capability construction of doctors or professional rescue teams.
And the synchronous updating service 390 is used for carrying out centralized control on the caching time limit and the caching content, caching the service codes and the service data provided by the background management system service framework in the data terminal, and completing corresponding data transmission and log.
The service codes and service data can be controllably deployed with the APP subsystem on the data terminal. The general data encryption technology and the object serialization technology can ensure the security and the integrity of the service function. And distributing the updated service codes of the service framework to the data terminals according to the centralized control strategy, and caching the data terminals. And performing data synchronization on the staged data and the result data formed after the service codes are operated on the data terminal according to the control strategy between the cache service codes and the service frames of the background management system.
In one embodiment of the present invention, a service process for synchronizing an update service includes:
the service framework determines the processing authority and the processing capacity of each data terminal according to the doctor identity and the terminal identifier managed by the background management system, and forms corresponding service codes and the caching authority of the service data;
pushing corresponding service codes and service data to the APP subsystem according to the caching authority;
establishing a data synchronization state between a cache service code running process and a service frame;
the service framework responds to the data requests and the uplink data of the cache service code.
The synchronous update service implements a centrally controlled distributed service framework architecture. The service cache enables the service with lower demands on computing resources and storage resources to be directly deployed on the data terminal, improves service response efficiency, and meanwhile can realize cache service differentiation according to the performance of the data terminal, so that cache service performance is ensured. The data synchronization of the cache service and the service framework ensures the service continuity, so that the data terminal can continuously process the service in a disfigurement offline environment, and the data synchronization is timely carried out when the environment is improved, thereby ensuring the robustness of the platform service.
In one embodiment of the present invention, services in front-end services framework 300 include a full set of functions and a subset of functions, which may be controlled by a background management system to form functional cuts at different stages of triage.
An APP subsystem front-end functional architecture of an intelligent flaw detection classification platform according to an embodiment of the present invention is shown in fig. 4. In fig. 4, the APP subsystem includes:
the examining doctor management module 210 is configured to request a data terminal to register for management service, and the doctor registering for management service forms a data interaction interface for managing doctor resources.
The wounded data management module 220 is configured to request a wounded registration management service and a hardware connection adaptation service to form a data interaction interface for wounded condition management.
The examining and injury diagnosis assisting module 230 is used for requesting diagnosis assisting coding service and examining and injury method navigation service to form a data interaction interface when implementing examining and injury classifying methods at each stage of examining and injury classifying.
The intelligent method selection module 240 is configured to intelligently select a data interaction interface for switching the detection method formed according to the updated status of the wounded information at each stage of the detection classification according to the method.
The examining wound classification evaluation module 250 is used for forming a data interaction interface of classifying evaluation of each stage of examining wound classification according to examining wound classification evaluation service.
The APP subsystem of the embodiment of the invention forms a data interaction interface of the remote basic function module of the full period of the flaw detection classification, provides a corresponding data interaction interface of basic function cutting for the specific interaction process of flaw detection classification at each stage, simplifies the function reconstruction complexity of the APP subsystem, and enriches the interaction complexity and the data display abundance of the specific interaction process.
An APP subsystem functional architecture of an intelligent flaw detection classification platform according to an embodiment of the present invention is shown in fig. 4. In the figure, the APP subsystem further comprises:
according to the requirements of the inspection and injury classification site, the method comprises the following steps:
the wounded identification printing module 261 is used for connecting the peripheral devices by utilizing the hardware connection adaptation service to form wounded identification labels and controlling a data interaction interface output by the peripheral devices;
the on-site manual acquisition module 262 is used for connecting the voice recognition component by utilizing a hardware connection adaptation service and forming an on-site manual acquisition process by combining a manually entered data interaction interface;
the on-site injury detection classification module 263 is used for forming an on-site injury detection process according to the diagnosis auxiliary coding service and the injury detection method navigation service.
Formed according to the classified transportation requirement of the wound:
the wounded identification recognition module 271 is configured to establish a data interaction interface for wounded information output according to the wounded registration management service;
the first data acquisition module 272 is configured to form a data interaction interface for connecting the monitoring device according to the hardware connection adaptation service, and form a data interaction interface for managing the injury of the wounded according to the wounded registration management service;
the wounded information display module 273 is configured to form a data interaction interface of wounded information according to the doctor registration management service and the wounded registration management service;
A first method selection module 274 for forming a data interaction interface for classification assessment of the triage transit stage according to the method intelligent selection module;
the first classification evaluation module 275 is configured to form a data interaction interface for classification evaluation of the classification transfer stage according to the classification evaluation module.
Formed according to the requirements of the hospital treatment:
the second data acquisition module 281 is configured to form a data interaction interface for connecting with the monitoring device according to the hardware connection adaptation service, and form a data interaction interface for managing the injury of the injured according to the injury registration management service;
the second method selection module 282 is configured to form a data interaction interface for classification evaluation of the stage in the examination injury classification hospital according to the method intelligent selection module;
the second classification evaluation module 283 is configured to form a data interaction interface for classification evaluation of the stage in the examination injury classification hospital according to the examination injury classification evaluation module.
The APP subsystem provided by the embodiment of the invention provides the corresponding data interaction interface of basic function clipping for the specific interaction process of the detection injury classification at each stage by utilizing the front-end service, and realizes the data interaction interface of the specific processing process at each stage in the whole detection injury classification period. The full period of the detection and injury classification controlled by the background management system is specifically realized in each APP subsystem, the processing consistency of the whole detection and injury classification process is ensured, and the flexibility of the construction of the detection and injury classification whole process data interaction interface is provided.
Different detection injury classification methods are more sensitive to injury information with specific data dimensions, and detection injury classification effects can be better formed. In the whole period of flaw detection classification, the flaw detection classification method at an earlier stage is influenced by the field environment interference, the manual flaw detection and recognition capability and the detection deviation, so that the selection defect exists, and the classification error of the wounded information is not easy to appear at an early stage. With the continuous intervention of later-stage monitoring equipment and doctors in the professional field, the added data and data dimension are richer, and better detection and injury classification accuracy can be obtained only by fully utilizing the method, and the detection and injury classification method in the earlier stage is often not matched with the data acquisition state.
In the above embodiment, the method intelligent selection service performs intelligent selection of the detection injury classification method according to the data acquisition state. The selection of the detecting and classifying method for determining the current stage in the whole period of detecting and classifying can fully process the current wounded state data, and can be switched to the adaptive detecting and classifying method based on the stage data. And the reliability of the classification evaluation result of the detection injury is ensured.
An intelligent selection method for the detection classification method adopted by the intelligent selection service of the method of the background management system in the intelligent detection classification platform according to an embodiment of the invention is shown in fig. 5. In fig. 5, the intelligent selection method includes:
Step 410: and forming a training data set according to the real injury detection data of the whole period of the injury detection classification.
The real injury detection data are field manual injury detection data formed in the whole period of injury detection classification of the real injury, manual injury detection data manually corrected and medical supplementary recorded during the transit, and injury data of the injury acquired by monitoring equipment.
The real examination data also includes records of examination classification methods employed by the doctor in making a correct examination classification assessment at each stage based on the real examination data.
Step 420: training an Artificial Neural Network (ANN) through a training data set to form an intelligent selection model of the injury detection method.
The training dataset includes all known artificially labeled data dimensions, with the input layer being formed with neuron nodes corresponding to the number of data dimensions.
To form a non-linear classification in the hidden layer, the activation function of the hidden layer is a tanh function.
The output layer adopts a Softmax classifier.
The prediction of the artificial neural network may use a feed-forward operation, an operation that activates functions and matrix multiplication. Assuming that the input x is two-dimensional, the output classification result can be obtained according to a calculation formula
z 1 ＝xW 1 +b 1
a 1 ＝tanh(Z 1 )
z 2 ＝a 1 W 2 +b 2
In the general expression, zi is the input of the ith layer, and ai is the output after the treatment of the activation function of the ith layer. W (W) 1 ，b 1 ，W 2 ，b 2 Is a parameter of a neural network used to learn and train data, which can be used here as a matrix in the network. If 100 neuron nodes are used in the hidden layer, there is W 1 ∈R 2*100 ，b 1 ∈R 100 ，W 2 ∈E 2*100 ，b 2 ∈R 2 From the above formula, it can be seen that increasing the number of nodes in the hidden layer greatly increases the parameters of the network.
A more common cross entropy loss function (also called a negative log likelihood function) is used. When there are N training samples and corresponding C classifications, then the predicted valueThe loss from the actual value y is:
and (5) obtaining the gradient by using a BP algorithm. The minimum value of the loss function is found by using a gradient descent algorithm, and a batch gradient descent algorithm is implemented by using a fixed learning rate.
Step 430: and in the whole period of the injury detection classification, activating an intelligent injury detection method selection model according to the dimensional change of the data to receive the current wounded information, and determining the injury detection classification method of the current stage.
The data dimension change refers to the type of data that will cause the available data dimension and related data to appear gradually as the victim collects data throughout the entire cycle of the triage. The intelligent selection model is selected intelligently by activating the injury detection method at different monitoring nodes in the determining stage, so that the method can be effectively suitable for the injury development of wounded persons.
In one embodiment of the invention, the monitoring node calibrates with a certain time period.
As shown in fig. 5, in an embodiment of the present invention, step 410 includes:
step 411: and carrying out single-dimension extraction on the real flaw detection data to form a single data dimension.
Single data dimensions include, but are not limited to, physicochemical or biochemical indicators having a defined value, such as heart rate, body temperature, respiration, blood pressure, oxygen saturation, and the like. And establishing information dimension of the injury detection data in the whole period of injury detection classification of the wounded through a single data dimension. The single data dimensions remain in a side-by-side relationship. The single data dimension is determined by manual tagging.
Step 412: and establishing a first positive correlation between the single data dimensions according to the manual marks, and forming a first composite data dimension through the first positive correlation.
The first positive correlation is established based on the certainty of causal, progressive, and surrogate relationships between the single data dimensions. The first composite data dimension is formed in parallel relation to the single data dimension. The first composite data dimension is determined by manual tagging. For example, the unidirectional causal relationship between oxygen saturation and respiration is affirmative. A first composite data dimension of "oxygen saturation-respiration" is established between oxygen saturation and respiration.
Step 413: and establishing a second positive correlation between the first composite data dimension and other single data dimensions, and forming a second composite data dimension through the second positive correlation.
The second positive correlation is established based on the causal, progressive and surrogate relationships between the first composite data dimension and the other single data dimension.
Other single data dimensions refer to single data dimensions that are not reflected in the first composite data dimension. The formed second composite data dimension is in parallel relation with the single data dimension. The second composite data dimension is determined by manual tagging. For example, the one-way progression between oxygen saturation-respiration and ultrasound ejection index has certainty. A second composite data dimension of "oxygen-saturated breath-ejection" is established between the oxygen-saturated breath and the ultrasound ejection index.
Step 414: a first negative correlation between the first composite data dimension and other single data dimensions is established, and a third composite data dimension is formed through the first negative correlation.
The first negative correlation is established based on negativity of causal, progressive, and surrogate relationships between the first composite data dimension and other single data dimensions.
Other single data dimensions refer to single data dimensions that are not reflected in the first composite data dimension. The formed third composite data dimension is in parallel relation with the single data dimension. The third composite data dimension is determined by manual tagging. For example, oxygen-saturated breathing has a correlation with body temperature. A third composite data dimension of "oxygen-saturated breath-body temperature" is established between oxygen-saturated breath and body temperature.
Step 415: normalizing the real injury detection data, and binding the real injury detection data with each data dimension to form a training data set.
The real flaw detection data normalization value is recorded by adopting a one-dimensional matrix as a basis and is bound with each data dimension, and the data records of each dimension form a training data set. According to the intelligent selection method, the composite data dimension is formed through manual labeling of a professional doctor, so that the situation that potential association among the data dimensions in the hidden layer is too many and cannot be effectively interpreted in a professional manner is avoided, and the weight of the association of the dominant dimension in the hidden layer of the artificial neural network can be effectively improved. And forming a composite data dimension with strengthening weighting and weakening weighting by utilizing positive correlation and negative correlation between the same composite data dimension and a single data dimension, so that a directional transmission correlation is formed between dimensions based on manual labeling of a professional doctor, and identifiable correlation of transmission between hidden layers of an artificial neural network is promoted. The artificial neural network training is performed based on the composite data dimension, so that selection of the detection injury classification method based on the knowledge rule of the professional doctor can be effectively promoted. The intelligent selection model parameters of the injury detection method are controllable, and the network configuration is stable. And furthermore, the occupation optimization of computing resources and storage resources is embodied in the application process, so that the intelligent selection model of the damage detection method is possibly cached on the data terminal, and the flexibility of the platform is improved.
In an embodiment of the present invention, on the basis of the intelligent selection method for the detection classification method adopted by the method intelligent selection service of the background management system in the intelligent detection classification platform of the embodiment, a method intelligent selection service of a front-end service framework is formed.
In an embodiment of the present invention, the intelligent selection module of the method for intelligently selecting services to form the APP subsystem by using the method described above.
In one embodiment of the invention, the module is selected according to a first method for forming the APP subsystem based on the triage transport requirements.
In one embodiment of the present invention, the second method selection module of the APP subsystem is formed according to the in-house processing requirements.
An embodiment of the invention is directed to an intelligent selecting device for a method for classifying a flaw detection, comprising:
the memory is used for storing the program codes of the initial tension process of the intelligent selection method aiming at the injury detection classification method;
and the processor is used for executing the program code of the initial tension process of the intelligent selection method aiming at the injury detection classification method.
The processor may employ a DSP (Digital Signal Processor) digital signal processor, an FPGA (Field-Programmable Gate Array) Field programmable gate array, a MCU (Microcontroller Unit) system board, a SoC (system on a chip) system board, PLC (Programmable Logic Controller) minimum system including I/O, or cloud computing resources.
An intelligent selecting device for the examining and classifying method according to an embodiment of the invention is shown in fig. 6. In fig. 6, the present embodiment includes:
the acquisition module 41 is used for forming a training data set according to real injury detection data of the whole period of injury detection classification;
the training module 42 is configured to train the artificial neural network through the training data set to form an intelligent selection model of the injury detection method;
the application module 43 is configured to activate the intelligent selection model of the injury detection method according to the data dimension change in the whole period of the injury detection classification to receive the current wounded information, and determine the injury detection classification method of the current stage.
As shown in fig. 6, in an embodiment of the present invention, the acquisition module 41 includes:
a first dimension generating unit 41a, configured to perform single dimension extraction on the real injury detection data to form a single data dimension;
a second dimension generating unit 41b, configured to establish a first positive correlation between the single data dimensions according to the artificial mark, and form a first composite data dimension through the first positive correlation;
a third dimension generating unit 41c, configured to establish a second positive correlation between the first composite data dimension and other single data dimensions, and form a second composite data dimension through the second positive correlation;
A fourth dimension generating unit 41d, configured to establish a first negative correlation between the first composite data dimension and other single data dimensions, and form a third composite data dimension through the first negative correlation;
the data normalization unit 41e is configured to normalize the real examination injury data and bind with each data dimension to form a training data set.
The present invention is not limited to the above-mentioned embodiments, and any changes or substitutions that can be easily understood by those skilled in the art within the technical scope of the present invention are intended to be included in the scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims.

Claims (8)

1. An intelligent examining and classifying platform, which is characterized by comprising:
the background management system is used for managing the APP subsystem and the interactive data, and providing a uniformly scheduled service process to respond to the functional requirements of the APP subsystem;
the APP subsystem is used for being deployed on the mobile terminal to form a data terminal for detecting injury classification, providing a graphical interactive interface of the injury detection classification in a full period, receiving identity management, data management and service management of a background management system through the graphical interactive interface, and executing data processing and data display in the service process;
The background management system and the data terminal establish a data exchange link with the APP subsystem by utilizing a communication public network;
the background management system comprises a software architecture, the software architecture comprising:
the infrastructure layer is used for applying network resources, storage resources and computing resources to resource suppliers to form background controllable resources, and acquiring hardware description and input/output data encapsulation description of the acquisition equipment and the monitoring equipment to form software definition equipment;
the data architecture layer is used for configuring the background controllable resources to form a data cache storage frame, a data persistence storage frame, a distributed file storage frame and a cluster computing frame;
the business service layer is used for establishing front-end service of each stage in the whole period of the injury detection classification by utilizing the storage frame and the calculation frame to form a front-end service frame;
the service support layer is used for establishing a system service frame supporting the front-end service to run in parallel at different data terminals by utilizing the storage frame and the computing frame;
the front-end expression layer is used for forming a graphic object by utilizing a graphic interaction frame, establishing an interaction interface of the graphic object, binding a service process through the interaction interface, and establishing a data interaction interface for exchanging service data when a WEB terminal or an APP subsystem is deployed through the graphic object;
The front-end service framework includes:
the wounded registration management service is used for forming a data interaction interface, registering the wounded identity according to the initially allocated wounded identity, and carrying out wounded monitoring data fusion according to the wounded identity to form wounded information so as to complete corresponding data exchange and storage;
the hardware connection adapting service is used for forming a data interaction interface, providing software definition equipment to adapt to hardware equipment in the process of initializing a link between the data terminal and the hardware equipment, establishing a data link through communication parameters, and forming analysis of link data through a data encapsulation protocol to finish corresponding data exchange and storage;
the diagnosis auxiliary coding service is used for forming a data interaction interface, providing a hierarchy diagnosis interaction logic of the injury according to an injury coding table, forming a standard code after injury diagnosis, and completing corresponding data exchange and storage;
the method comprises the steps of forming a data interaction interface, establishing standard flow steps and step instructions for determining a flaw detection method, forming implementation limiting logic among the steps, providing flaw detection process integrity check, and completing corresponding data exchange and storage;
the intelligent selection service is used for forming a data interaction interface, recommending the detection method according to the stage in the whole detection classification period and the detection classification data acquisition state, and completing corresponding data exchange and storage;
The detection injury classification evaluation service is used for forming a data interaction interface, forming a data analysis evaluation process of each stage according to the accumulated detection injury classification data, performing quantitative evaluation on the stage injury condition, and completing corresponding data exchange and storage;
the intelligent selection service comprises an intelligent selection method aiming at a flaw detection method, and the intelligent selection method comprises the following steps:
forming a training data set according to real examination data of the whole examination classification period, wherein the real examination data comprises records of examination classification methods adopted by doctors when making correct examination classification evaluation at each stage according to the real examination data;
training an artificial neural network through the training data set to form an intelligent selection model of the injury detection method;
in the whole period of detection and injury classification, the monitoring nodes are calibrated by changing monitoring equipment, the intelligent selection model of the detection and injury method is activated at different monitoring nodes in the current stage according to the data dimension change, the current wounded information is received, the detection and injury classification method in the current stage is determined, and the data dimension change refers to the type of data collected by the wounded in the whole period of detection and injury classification, and the available data dimension and related data gradually appear.
2. The intelligent flaw detection classification platform according to claim 1, further comprising a WEB end for providing a data interaction interface of a background management system on a deployed browser, and maintaining and updating services and functions of the background management system through the data interaction interface; the background management system and the WEB end form a B/S framework, background management is carried out through the WEB end, the background management system and the data terminal for deploying the APP subsystem form a C/S framework, and parallel detection injury classification processing of full detection injury classification period is carried out on massive wounded persons.
3. The intelligent triage platform of claim 1 wherein the front-end services framework comprises:
the data terminal registration management service is used for forming a data interaction interface, acquiring data of a software and hardware environment of the mobile terminal for deploying the APP subsystem to generate a terminal identifier, binding the APP subsystem login identity with the terminal identifier to be used as the data terminal registration identifier for data terminal management, and completing corresponding data exchange and storage;
and the doctor registration management service is used for forming a data interaction interface, registering the identity validity of the doctor participating in the whole period of the examination injury classification, providing inquiry service, correction service and statistics service of wounded information for the qualified doctor, and completing corresponding data exchange and storage.
4. The intelligent triage platform of claim 1 wherein the front-end services framework comprises:
and the synchronous updating service is used for carrying out centralized control on the caching time limit and the caching content, caching the service codes and the service data provided by the background management system service framework in the data terminal, and completing corresponding data transmission and log.
5. The intelligent wound classification platform of claim 1, wherein the APP subsystem comprises:
the examining doctor management module is used for requesting the data terminal to register the management service and the doctor registering the management service to form a data interaction interface for managing doctor resources;
the wounded data management module is used for requesting wounded registration management service and hardware connection adaptation service to form a data interaction interface for wounded condition management;
the flaw detection diagnosis auxiliary module is used for requesting diagnosis auxiliary coding service and flaw detection method navigation service to form a data interaction interface when the flaw detection classification method is implemented at each stage of flaw detection classification;
the intelligent selection module is used for intelligently selecting a data interaction interface for switching the injury detection method formed according to the updated state of the wounded information at each stage of the injury detection classification according to the method;
And the examining and injuring classification evaluation module is used for forming a data interaction interface of classifying and evaluating at each stage of examining and injuring classification according to examining and injuring classification evaluation service.
6. The intelligent wound classification platform of claim 5, wherein the APP subsystem further comprises:
according to the requirements of the inspection and injury classification site, the method comprises the following steps:
the wounded identification printing module is used for connecting the peripheral equipment by utilizing the hardware connection adaptation service to form a wounded identification label and controlling a data interaction interface output by the peripheral equipment;
the on-site manual acquisition module is used for connecting the voice recognition component by utilizing a hardware connection adaptation service and forming an on-site manual acquisition process by combining a manually entered data interaction interface;
the on-site flaw detection classification module is used for forming an on-site flaw detection process according to the diagnosis auxiliary coding service and the flaw detection method navigation service.
7. The intelligent wound classification platform of claim 5, wherein the APP subsystem further comprises:
formed according to the classified transportation requirement of the wound:
the wounded identification recognition module is used for establishing a data interaction interface for wounded information output according to the wounded registration management service;
the first data acquisition module is used for forming a data interaction interface connected with the monitoring equipment according to the hardware connection adaptation service and forming a data interaction interface for managing the wounded condition according to the wounded registration management service;
The wounded information display module is used for forming a data interaction interface of wounded information according to doctor registration management service and wounded registration management service;
the first method selection module is used for forming a data interaction interface of classification evaluation in the inspection classification transfer stage according to the method intelligent selection module;
the first classification evaluation module is used for forming a data interaction interface of classification evaluation of the examination injury classification transfer stage according to the examination injury classification evaluation module.
8. The intelligent wound classification platform of claim 5, wherein the APP subsystem further comprises:
formed according to the requirements of the hospital treatment:
the second data acquisition module is used for forming a data interaction interface connected with the monitoring equipment according to the hardware connection adaptation service and forming a data interaction interface for managing the wounded condition according to the wounded registration management service;
the second method selection module is used for forming a data interaction interface of classification evaluation of the stage in the examination injury classification hospital according to the method intelligent selection module;
the second classification evaluation module is used for forming a data interaction interface of classification evaluation of the stage in the examination injury classification hospital according to the examination injury classification evaluation module.
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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102982074A (en) * 2012-10-29 2013-03-20 郑静晨 Triage processing method and triage processing device
CN104978470A (en) * 2014-04-04 2015-10-14 郑静晨 Mobile medical care information management system
CN109698015A (en) * 2018-08-10 2019-04-30 南方医科大学 Classification information processing method is hurt in the classification of inspection wound and wounded's movement system and inspection based on RFID
WO2021096467A1 (en) * 2019-11-13 2021-05-20 Ankara Üni̇versi̇tesi̇ Rektörlüğü Triage decision support method and the system using this method

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050071190A1 (en) * 2003-09-26 2005-03-31 International Business Machines Corporation Method and system for patient care triage

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102982074A (en) * 2012-10-29 2013-03-20 郑静晨 Triage processing method and triage processing device
CN104978470A (en) * 2014-04-04 2015-10-14 郑静晨 Mobile medical care information management system
CN109698015A (en) * 2018-08-10 2019-04-30 南方医科大学 Classification information processing method is hurt in the classification of inspection wound and wounded's movement system and inspection based on RFID
WO2021096467A1 (en) * 2019-11-13 2021-05-20 Ankara Üni̇versi̇tesi̇ Rektörlüğü Triage decision support method and the system using this method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
曹广文 主编.（五）检伤分类的方法学概述.《灾难医学》.第二军医大学出版社,2011,第92-94页. *

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