CN116777712A - Automatic mapping method and system for sudden public health event standard - Google Patents
Automatic mapping method and system for sudden public health event standard Download PDFInfo
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- 230000005180 public health Effects 0.000 title claims abstract description 166
- 238000013507 mapping Methods 0.000 title claims abstract description 105
- 238000000034 method Methods 0.000 title claims abstract description 39
- 229940079593 drug Drugs 0.000 description 8
- 239000003814 drug Substances 0.000 description 8
- 201000010099 disease Diseases 0.000 description 4
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 4
- 238000007726 management method Methods 0.000 description 4
- 229940127554 medical product Drugs 0.000 description 4
- 230000007721 medicinal effect Effects 0.000 description 3
- 230000036541 health Effects 0.000 description 2
- 238000001356 surgical procedure Methods 0.000 description 2
- 208000035473 Communicable disease Diseases 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000009960 carding Methods 0.000 description 1
- 230000000295 complement effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000013499 data model Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000009472 formulation Methods 0.000 description 1
- 208000015181 infectious disease Diseases 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 231100000572 poisoning Toxicity 0.000 description 1
- 230000000607 poisoning effect Effects 0.000 description 1
- 230000000452 restraining effect Effects 0.000 description 1
- 230000009897 systematic effect Effects 0.000 description 1
- 238000002255 vaccination Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
- G06Q50/265—Personal security, identity or safety
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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
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
Abstract
The application discloses a method and a system for automatically mapping the standard of sudden public health events, which belong to the technical field of sudden public health events and comprise the following steps: acquiring concepts in the sudden public health event ontology corresponding to the sudden public health event standard; determining a concept in an emergency public health event ontology corresponding to a minimum unit in an existing standard mapping structure in the field of emergency public health events; and mapping the sudden public health event standard corresponding to the same concept and the sudden public health event standard corresponding to each sub-event contained in the concept into each minimum unit to generate a standard mapping map. The standard mapping map is quickly established, the mapping process depends on the existing ontology, and the accuracy of the mapping result is improved without expert experience.
Description
Technical Field
The application relates to the technical field of sudden public health events, in particular to an automatic mapping method and system for sudden public health event standards.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
Sudden public health events refer to sudden major infectious disease epidemic situation, diseases caused by unknown groups, serious food and occupational poisoning events and other sudden events which seriously affect public health and cause or possibly cause serious damage to the public health.
In the process of preventing, managing and the like of sudden public health events, standards are required for guiding and restraining, which requires a general understanding of related standards in the sudden public health event field and clarifies the relationship between the standards. There are multiple standards in existence or in progress in the field of sudden public health events, but standard formulation is carried out by different standards organizations, standards technical committees or industry authorities, and there is a lack of relevance and compatibility between standards. This results in a large number of standards that are difficult to implement for a systematic application, even though there may be collisions of the indices in the standards. At present, different stakeholders or participators have different understanding and understanding on sudden public health events from respective responsibilities or demands, establish a reference model or architecture of the sudden public health events under respective view angles, and lack an automatic mapping method for establishing a standard map of the field.
However, the inventor considers that the architecture model of the field is constructed according to the experience of the field, then the architecture model is connected with related standards by using an example analysis method, and finally the information of the related standards is displayed on the standard architecture model to form a standard mapping map. If any parts subsequently need to be added or deleted, the entire model must be re-built. In the process of sorting related standards in the field, the existing standards are classified by adopting a mode of manually carding and analyzing standard questions, and then the classified standards are associated to a certain unit of a field architecture model.
Disclosure of Invention
In order to solve the problems, the application provides an automatic mapping method and an automatic mapping system for sudden public health event standards, which are characterized in that by determining concepts in sudden public health event bodies corresponding to the sudden public health event standards and concepts in sudden public health event bodies corresponding to minimum units in the existing mapping structure, the minimum units with consistent concepts are matched with the sudden public health event standards to obtain a standard mapping map, and the mapping process depends on the existing bodies and does not pass expert experience any more, so that the accuracy of the mapping result is greatly improved.
In order to achieve the above purpose, the application adopts the following technical scheme:
in a first aspect, an automatic mapping method for sudden public health event criteria is provided, including:
acquiring concepts in the sudden public health event ontology corresponding to the sudden public health event standard;
determining a concept in an emergency public health event ontology corresponding to a minimum unit in an existing standard mapping structure in the field of emergency public health events;
and mapping the sudden public health event standard corresponding to the same concept and the sudden public health event standard corresponding to each sub-event contained in the concept into each minimum unit to generate a standard mapping map.
In a second aspect, an automatic mapping system for sudden public health event criteria is provided, comprising:
the concept determining module in the main body corresponding to the standard is used for acquiring concepts in the sudden public health event ontology corresponding to the sudden public health event standard;
the concept determining module in the main body corresponding to the minimum unit is used for determining the concept in the main body of the sudden public health event corresponding to the minimum unit in the standard mapping structure existing in the sudden public health event field;
and the standard mapping map generation module is used for mapping the sudden public health event standard corresponding to the same concept as the minimum unit and the sudden public health event standard corresponding to each sub-type event contained in the concept into the minimum unit to generate a standard mapping map.
In a third aspect, an electronic device is provided that includes a memory and a processor, and computer instructions stored on the memory and running on the processor that, when executed by the processor, perform the steps recited by the method for automatically mapping sudden public health event criteria.
In a fourth aspect, a computer readable storage medium is provided for storing computer instructions that, when executed by a processor, perform the steps recited in the automatic mapping method for sudden public health event criteria.
Compared with the prior art, the application has the beneficial effects that:
the application maps the sudden public health event standard corresponding to the same concept with each minimum unit and the sudden public health event standard corresponding to each sub-class event contained in the concept into the minimum unit by determining the concept in the sudden public health event body corresponding to the sudden public health event standard and the concept in the sudden public health event body corresponding to the minimum unit in the existing standard mapping structure, and the mapping process depends on the existing body and does not pass expert experience any more, thereby greatly improving the accuracy of the mapping result.
When the minimum unit with the same concept is matched with the standard of the sudden public health event to generate the standard mapping map, the standard corresponding to the sub-class concept contained in the concept is mapped to the minimum unit, and the mapping map obtained by the method can obtain the standard corresponding to a certain sub-class event and the standard corresponding to a large-class event to which the sub-class event belongs.
Additional aspects of the application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the application.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application.
FIG. 1 is a flow chart of the method disclosed in example 1;
FIG. 2 is a domain architecture model of sudden public health events disclosed in example 1;
FIG. 3 is a concept in the ontology disclosed in example 1;
fig. 4 is a concept corresponding to the label disclosed in embodiment 1;
fig. 5 is a standard map disclosed in embodiment 1.
Detailed Description
The application will be further described with reference to the drawings and examples.
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
Example 1
At present, different stakeholders or participators have different understanding and understanding on sudden public health events from respective responsibilities or demands, establish a domain architecture model of sudden public health events under respective view angles, and lack a mapping structure for establishing a standard map of the domain. Therefore, there is a need for a more accurate and applicable method for automatically implementing mapping of a domain standard to a domain architecture model based on the domain architecture model of an incident public health event, and establishing a standard mapping map.
In order to solve the technical problems, the embodiment discloses an automatic mapping method for the sudden public health event standard, which utilizes the sudden public health event ontology to automatically generate a hierarchical structure of the sudden public health event standard, realizes automatic mapping from the standard to the existing mapping structure, and establishes a standard mapping map.
An ontology is a conceptual model that describes concepts and relationships between concepts. The emergent public health event ontology which is currently formulated internationally comprises use cases and capability problems such as vaccination management, traffic management, emergency medical resource management, volunteer management and the like, and also has related modules such as public health events, diseases, personnel, medical activities and the like, is a framework of concepts in the field of emergent public health events, and is the lowest knowledge. The problem is solved by using the ontology layer, and the obtained standard hierarchical structure and mapping result are more reasonable and accurate.
The automatic mapping method for the sudden public health event standard disclosed in the embodiment, as shown in fig. 1, comprises the following steps:
acquiring concepts in the sudden public health event ontology corresponding to the sudden public health event standard;
determining a concept in an emergency public health event ontology corresponding to a minimum unit in an existing standard mapping structure in the field of emergency public health events;
and mapping the sudden public health event standard corresponding to the same concept and the sudden public health event standard corresponding to each sub-event contained in the concept into each minimum unit to generate a standard mapping map.
The emergency public health event ontology is obtained by identifying reusable ontologies in all emergency public health event ontologies, integrating and combing, and is specifically:
acquiring reusable bodies in all burst public health event bodies; the reusable ontology is stored in an owl format by adopting a network ontology language, and the emergency public health event ontology of the embodiment is constructed and obtained according to the generic relationship of the concepts in the reusable ontology.
The method comprises the steps that an emergency public health event body comprises a plurality of major events, each major event further comprises a plurality of sub-events, each major event and each sub-event are taken as concepts in the body, and the main body modeling is carried out on the emergency public health event by utilizing generic relations among the concepts to obtain the emergency public health event body.
In the identification process, the international established sudden public health event field standard is found: there is a reusable burst public health event ontology in ISO/IEC 5087-4.
The sudden public health event comprises a plurality of major events such as public health events, diseases, personnel, medical activities, medical equipment, emergency medical resources and the like, wherein the major events such as the public health event also comprise minor events such as sudden public health events and the like; the major events of the emergency medical resource also comprise a plurality of minor events such as medical products, thermometers, medical masks and the like; the major classes of events for medical devices also include multiple minor classes of events for medical robots, personal health devices, inspection thermometers, and machine assisted surgery devices.
According to the generic relationship of minor events, major events and emergent public health events, constructing an emergent public health event body, wherein the constructed emergent public health event body comprises a plurality of modules such as a public health event module, a disease module, a personnel module, a medical activity module, a medical equipment module, an emergency medical resource module and the like, and each module defines the minor events belonging to the module. As the public health event module defines a plurality of types of public health events including sudden public health events, the emergency medical resource module defines a plurality of types of emergency medical resource events including medical products, thermometers, medical masks and the like; the medical device module defines a variety of medical device events including medical robots, personal health devices, examination thermometers, and machine-assisted surgery devices, among others.
The documented representation of the emergency medical resource ontology is shown in table 1. Modeling is performed on an emergency medical resource body among emergency medical resource bodies in a computer, and the emergency medical resource body is constructed according to the generic relationship between the medicines and the emergency medical resources because the medicines belong to the emergency medical resources, wherein the emergency medical resource body comprises two concepts of the emergency medical resources and the medicines, the medicines belong to the emergency medical resources, and in addition, the emergency medical resource body also comprises attribute values of the medicines. Wherein phe is an abbreviation for sudden public health event, representing sudden public health event ontology concept; RDFs is an extension to the Resource Description Framework (RDF), which is a definition language describing resources; the spatloc is an international standard ISO/IEC 5087-1 urban data model, part 1, spatial location ontology defined in the base layer model; geo, geoSPARQL, defines a vocabulary for representing geospatial data in RDF; the value of only geo-representing the location is limited to the type of coordinates defined by geo; xsd is a structural definition of the extensible markup language, only xsd representing the data type for which the value is defined as xsd; only phe represents the concept that this value is limited to the phe definition; exact 1 indicates that there is one and only one of these values.
Table 1: documented representation of emergency medical resource ontology drug modules
The process of acquiring the concept in the sudden public health event ontology corresponding to the sudden public health event standard in this embodiment is as follows:
acquiring a sudden public health event standard;
setting a label for the sudden public health event standard;
extracting keywords from the labels of the sudden public health event standards, and searching concepts in the sudden public health event ontology corresponding to the keywords, namely, concepts in the sudden public health event ontology corresponding to the sudden public health event standards.
Specifically, in the standardization organization in the field of sudden public health, according to a specified principle, identifying the standard, collecting related sudden public health event standards, and sorting to obtain a sudden public health field standard list, wherein table 2 is a part of the standards in the sudden public health event standard list.
Table 2: partial criteria in a list of bursty public health event criteria
And setting a label for each standard by using keywords reflecting the event field to which the standard belongs and standardizing the object and the technical characteristics of the object.
The tag is a variable that establishes a relationship between the standard and the mapping structural unit in the standard mapping process, and is composed of keywords, such as words or phrases, reflecting the event domain to which the standard belongs, standardized objects and technical features of the objects, and in this embodiment, the keywords are terms of the sudden public health event domain and standardized terms.
In this embodiment, when a label is set for each standard in the standard list of sudden public health events by using keywords, the selected keywords include keywords in the sudden public health event field to which the reaction standard belongs as far as possible, where the number of keywords is not limited, and the keywords should be independent and complementary, and their meanings are not repeated and do not intersect.
The tag keyword selection should follow the following principle:
the labels of each standard are unique. Two or more tags are not allowed to be identical.
When different standardization organizations normalize technical features of standardized objects, keywords reflecting differences in their technical features are added to the tags.
The embodiment can extract keywords from standard titles and construct labels.
According to the construction rules of a standard title, the title consists of several individual elements, namely a guide element, a theme element and a supplementary element, which are as short as possible. The three elements constituting the standard title range from general to special arrangements. The guide element (shoulder mark) represents a technical field or category to which the standard belongs, i.e., a technical field to which the standardized object belongs. The theme elements (main titles) represent the themes discussed in a particular professional field, such as objects that need to be standardized. The supplementary element (subheading) indicates a specific technical feature of the standardized object.
The tag can be constructed using the guide element, the theme element, and the supplementary element in the standard title as keywords.
All standard tags constitute a tag system.
The tag system can be used as an operational means for subsequent standard mapping.
It should be noted that, in this embodiment, if the sudden public health event system is not available, an existing keyword extraction method, such as machine learning, may be selected, a keyword candidate set is established, and keywords are extracted from the standard range and standard. Table 3 is a partial content of the tagged list of criteria for sudden public health events.
Table 3: label burst public health event standard list
In the implementation, calculating the relevance of the keywords in the labels and each concept in the sudden public health event ontology, and selecting the concept with the highest relevance as the concept in the sudden public health event ontology corresponding to the keywords, wherein the concept is the concept in the sudden public health event ontology corresponding to the sudden public health event standard corresponding to the labels.
The method comprises the steps of classifying standards corresponding to the same sub-class event in an ontology into one class, obtaining a standard set of each sub-class event, classifying the standard sets of all sub-class events belonging to the same general class event in the ontology into one class, and obtaining the standard set of each general class event, so that a hierarchical structure of the sudden public health event standard is generated according to the generic relationship among concepts.
Then, using the body mapping to realize the automatic mapping from the standard to the corresponding unit of the existing standard mapping structure, comprising:
(1) Extracting a minimum unit in the standard mapping structure, and identifying a concept in the ontology corresponding to the minimum unit;
(2) And matching the standard set with the same concept with the minimum unit, and mapping the standard set into the minimum unit successfully matched, thereby realizing automatic mapping from the standard to the mapping structure.
When all standards are mapped into the standard mapping structure, a standard mapping map is obtained.
In implementation, an existing or given domain architecture model of an emergency public health event is selected as a standard mapping structure, and as shown in fig. 2, the architecture model is selected as an architecture model of an existing emergency public health event, and the architecture model is used as a standard mapping structure, wherein the minimum unit of the standard mapping structure is each rectangular frame, and each rectangular frame represents concepts in a class of ontologies.
And determining a concept in the sudden public health event ontology corresponding to the minimum unit in the selected standard mapping structure, mapping the sudden public health event standard corresponding to the minimum unit and the sudden public health event standard corresponding to each sub-event contained in the concept into the minimum unit for each minimum unit, and generating a standard mapping map.
Specifically, when the concept corresponding to the minimum unit is a sub-class event, mapping the standard set of the sub-class event into the minimum unit; and when the concept corresponding to the minimum unit is a major event, mapping the standard set of the major event into the minimum unit to obtain a standard mapping map.
Fig. 3 is a concept in an ontology, and fig. 4 is a concept in an ontology corresponding to a standard, wherein medical equipment in the ontology is in a corresponding relationship with medical equipment in the ontology corresponding to the standard, medicines in the ontology are in a corresponding relationship with medicines in the ontology corresponding to the standard, medical resources in the ontology are in an inclusion relationship with medical products, thermometers and medical masks in the ontology corresponding to the standard, the medical products, thermometers and medical masks belong to the medical resources, public health events in the ontology are in an inclusion relationship with sudden public health events, and sudden public health events belong to the public health events.
And analyzing concepts in the ontology corresponding to all the standards and concepts in the ontology corresponding to the minimum unit of the standard mapping structure, completing mapping from all the standards to the standard mapping structure, and establishing a standard mapping map, wherein all the standards corresponding to a certain ontology concept can be obtained through the standard mapping map as shown in fig. 5.
According to the method, concepts in the sudden public health event ontology corresponding to the sudden public health event standard and concepts in the sudden public health event ontology corresponding to the minimum units in the existing mapping structure are determined, and for each minimum unit, the sudden public health event standard corresponding to the minimum unit and the sudden public health event standard corresponding to each sub-type event contained in the concept are mapped into the minimum unit to generate a standard mapping map. The mapping process depends on the existing ontology, and the expert experience is not used any more, so that the accuracy of the mapping result is greatly improved; the mapping map obtained by the method can obtain all standards corresponding to the major event of the sub-class event besides the standards corresponding to the sub-class event. The classification standards are unified, the structure can be suitable for integral standard classification, and the mapping process depends on the existing ontology and does not pass through expert experience any more, so that the accuracy of the result is greatly improved.
Example 2
In this embodiment, an automatic mapping system for sudden public health event criteria is disclosed, comprising:
the concept determining module in the main body corresponding to the standard is used for acquiring concepts in the sudden public health event ontology corresponding to the sudden public health event standard;
the concept determining module in the main body corresponding to the minimum unit is used for determining the concept in the main body of the sudden public health event corresponding to the minimum unit in the standard mapping structure existing in the sudden public health event field;
and the standard mapping map generation module is used for mapping the sudden public health event standard corresponding to the same concept as the minimum unit and the sudden public health event standard corresponding to each sub-type event contained in the concept into the minimum unit to generate a standard mapping map.
Example 3
In this embodiment, an electronic device is disclosed that includes a memory and a processor, and computer instructions stored on the memory and running on the processor that, when executed by the processor, perform the steps recited in the automatic mapping method for sudden public health event criteria disclosed in embodiment 1.
Example 4
In this embodiment, a computer readable storage medium is disclosed for storing computer instructions that, when executed by a processor, perform the steps recited in the automatic mapping method for sudden public health event criteria disclosed in embodiment 1.
Finally, it should be noted that: the above embodiments are only for illustrating the technical aspects of the present application and not for limiting the same, and although the present application has been described in detail with reference to the above embodiments, it should be understood by those of ordinary skill in the art that: modifications and equivalents may be made to the specific embodiments of the application without departing from the spirit and scope of the application, which is intended to be covered by the claims.
Claims (10)
1. The automatic mapping method for the sudden public health event standard is characterized by comprising the following steps:
acquiring concepts in the sudden public health event ontology corresponding to the sudden public health event standard;
determining a concept in an emergency public health event ontology corresponding to a minimum unit in an existing standard mapping structure in the field of emergency public health events;
and mapping the sudden public health event standard corresponding to the same concept and the sudden public health event standard corresponding to each sub-event contained in the concept into each minimum unit to generate a standard mapping map.
2. The automatic mapping method of sudden public health event standard according to claim 1, wherein the sudden public health event body comprises a plurality of major events, each major event further comprises a plurality of sub events, each major event and each sub event are taken as concepts in one body, and the sudden public health event body is obtained by carrying out body modeling on the sudden public health event by utilizing generic relations among the concepts.
3. The automatic mapping method of sudden public health event standards according to claim 1, wherein the standards corresponding to the same sub-class event in the body are classified into one class, a standard set of each sub-class event is obtained, the standard sets of all sub-class events belonging to the same main class event in the body are classified into one class, a standard set of each main class event is obtained, and a hierarchy structure of sudden public health event standards is generated.
4. The automatic mapping method for sudden public health event criteria according to claim 3, wherein when the concept corresponding to the minimum unit is a sub-class event, mapping the criterion set of the sub-class event into the minimum unit; and when the concept corresponding to the minimum unit is a major event, mapping the standard set of the major event into the minimum unit to obtain a standard mapping map.
5. The automatic mapping method of sudden public health event criteria according to claim 1, wherein sudden public health event criteria are labeled;
extracting keywords from labels marked by the sudden public health event standards, and searching concepts in the sudden public health event ontology corresponding to the keywords, namely, concepts in the sudden public health event ontology corresponding to the sudden public health event standards.
6. The automatic mapping method of sudden public health event standard according to claim 5, wherein the relevance between the keyword in the tag and each concept in the sudden public health event body is calculated, and the concept with the highest relevance is selected as the concept in the sudden public health event body corresponding to the keyword.
7. The method for automatically mapping emergency public health event criteria of claim 1, wherein the labels of each criteria are unique.
8. An automatic mapping system for sudden public health event criteria, comprising:
the concept determining module in the main body corresponding to the standard is used for acquiring concepts in the sudden public health event ontology corresponding to the sudden public health event standard;
the concept determining module in the main body corresponding to the minimum unit is used for determining the concept in the main body of the sudden public health event corresponding to the minimum unit in the standard mapping structure existing in the sudden public health event field;
and the standard mapping map generation module is used for mapping the sudden public health event standard corresponding to the same concept as the minimum unit and the sudden public health event standard corresponding to each sub-type event contained in the concept into the minimum unit to generate a standard mapping map.
9. An electronic device comprising a memory and a processor and computer instructions stored on the memory and running on the processor, which when executed by the processor, perform the steps of the automatic mapping method of sudden public health event criteria of any of claims 1-7.
10. A computer readable storage medium storing computer instructions which, when executed by a processor, perform the steps of the method for automatic mapping of sudden public health event criteria of any of claims 1-7.
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