CN106599547A - Intelligent medical knowledge base management system based on tags - Google Patents
Intelligent medical knowledge base management system based on tags Download PDFInfo
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- CN106599547A CN106599547A CN201611043814.9A CN201611043814A CN106599547A CN 106599547 A CN106599547 A CN 106599547A CN 201611043814 A CN201611043814 A CN 201611043814A CN 106599547 A CN106599547 A CN 106599547A
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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
- G16H10/20—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
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- G06F19/324—
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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
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
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- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention discloses an intelligent medical knowledge base management system based on tags. A knowledge base consists of a knowledge segment library and a tag library, wherein the knowledge segment library is used for structural storage of medical knowledge; and the tag library is formed by a series of tags and matching rules, which are defined for carrying out automatic retrieval of the medical knowledge. The intelligent medical knowledge base management system comprises a knowledge base storage subsystem, a tag management subsystem, a data acquisition subsystem and a tag retrieval subsystem; and the intelligent medical knowledge base management system based on the tags comprehensively adopts big data and intelligent technologies, medical personnel can participate in management of the system and interact with a patient on the basis of the system, and the patient also can utilize the system to master a health condition of the patient, so that personalized, targeted and real-time health education is implemented.
Description
Technical field
The present invention relates to health management technique, is based especially on the intellectual medical knowledge base management system of label.
Background technology
The health control of community resident and chronic diseases management are the major tasks of grass-roots community.Putting prevention first, treating reach
Theoretical thought instruct under, how by specific aim, personalized health education, improve the health perception and compliance of community resident
Property, is key that whether community work can obtain real effect.
At present, the health education method of medical institutions of grass-roots community mainly includes：Brochure, stand interior blackboard newspaper, periodicity are strong
Health lecture etc., these modes belong to traditional health education method, are all difficult to be directed to by time, limited space substantially
Property, personalization, promptness, interactivity, it is limited to the educational function of community resident, it is difficult to really to play and improve resident compliance
Effect.
According to the requirement of National Public Health service regulation, Community Doctor need to provide the slow disease patient in area under one's jurisdiction treatment,
The services such as follow-up, lifestyle modification guidance, carry out Health intervention to potential high-risk patient, and Community Doctor is to complete this kind of work
A large amount of hardships work are paid.But, in this process, have significant component of patient itself problem but not to oneself
Enough attention, compliance be not high, causes management effect not good.Return its reason, it is principal element that health education is not in place.
Management be managed this in mutual relation, patient itself payes attention to and compliance height is endogenous cause of ill, doctor's management and
It is exopathogenic factor to intervene guidance, wants that chronic diseases management effect is good, and play decisive role must be endogenous cause of ill.Therefore, study it is personalized,
Targetedly health education method, is fundamentally to improve patient compliance, plays the inevitable behave of the decisive role of endogenous cause of ill,
And the research emphasis of this project.
The content of the invention
To solve above-mentioned technical problem, it is an object of the invention to provide the intellectual medical KBM system based on label
System, improves patient compliance, plays the decisive role of endogenous cause of ill.
The technical solution adopted in the present invention is：
Based on the intellectual medical knowledge base management system of label, the knowledge base is made up of knowledge valut and tag library, its
Middle knowledge valut is the structured storage of medical knowledge, and tag library is that defined to carry out automatically retrieval medical knowledge is
Column label and matched rule, the intellectual medical knowledge base management system include knowledge base storage subsystem, tag control subsystem
System, data acquisition subsystem, label search subsystem；The knowledge base storage subsystem is for primitive medicine information data is returned
Collection arranges and is formed structurized knowledge piece, and all knowledge pieces constitute the knowledge valut；The tag control subsystem responsible
Tag definition to tag library, label determinant attribute definition, definition is associated with knowledge piece；The data acquisition subsystem is used for
The keyword of collection user input is simultaneously converted into searchable format data；The label search subsystem is according to data acquisition
The format data to be retrieved provided by subsystem, scan for finding from tag library corresponding label, and according to finding
Label returns corresponding knowledge piece from knowledge valut.
Further, knowledge piece is also decomposed into knowledge piece ID and knowledge content by the knowledge base storage subsystem, the knowledge
Piece ID is associated with the label of the matching.
The tag types of the tag library include text type and type expression, and arrange Extended-type option.
Particularly, the tag library is made up of a series of label records, and label record atomizes label again and combines mark
Two kinds are signed, combination tag is the community of 2 or multiple atomic tags composition, and atomic tag is uniquely mapped to one or more and knows
Know piece；And combination tag must then be fulfilled for input item hit combination in each label when, be just mapped to corresponding knowledge piece.
The determinant attribute of the tag definition includes accurately mate, fuzzy matching, independent matching, multi-tag matching.
Wherein, the keyword of the data acquisition subsystem collection user input is based on different types of input model reality
It is existing.
Further, the input model includes symptom class model, measurement class model and life class model.
Specifically, the keyword of the symptom class model is selected in terminal by user, and expression way is character string；It is described
The keyword of measurement class model is gathered by self-test apparatus or biochemistry detection collection, and expression way is expression formula；The symptom class
The keyword of model is obtained by Health questionnaire, and expression way is expression formula.
Additionally, the format data to be retrieved that the label search subsystem is obtained can also be the mark of multiple labels composition
Collection is signed, tally set is carried out permutation and combination, obtains all of tag combination by label search subsystem, then retrieved from tag library
All qualified knowledge pieces simultaneously return knowledge piece.
Compared with prior art, the invention has the advantages that：Intellectual medical KBM based on label
System synthesis employs big data, intellectualized technology, and medical worker may participate in the management of system and be handed over patient based on the system
Mutually, patient also can grasp self health status using the system, realize personalization, specific aim, the health education of instantaneity.
Description of the drawings
Below in conjunction with the accompanying drawings the specific embodiment of the present invention is described further.
Illustratons of model of the Fig. 1 for knowledge base；
Fig. 2 is the principle framework figure of intellectual medical knowledge base management system of the present invention；
Fig. 3 is the knowledge piece illustraton of model after the present invention decomposes；
Fig. 4 be the mapping model of label and knowledge piece 1.；
Fig. 5 be the mapping model of label and knowledge piece 2.；
Fig. 6 be the mapping model of label and knowledge piece 3.；
Fig. 7 be the mapping model of label and knowledge piece 4..
Specific embodiment
Big data, intellectualized technology are comprehensively employed based on the intellectual medical knowledge base management system of label, individual character is realized
Change, specific aim, the health education of instantaneity.As shown in figure 1, knowledge base is made up of knowledge valut and tag library, wherein knowledge piece
Storehouse is the structured storage of medical knowledge, tag library be a series of labels for defining to carry out automatically retrieval medical knowledge and
Matched rule.
As shown in Fig. 2 sub for the intellectual medical knowledge base management system based on label of the present invention, including knowledge library storage
System, tag control subsystem, data acquisition subsystem, label search subsystem；Below, four big subsystems will be respectively toward to enter
Row is introduced：
The medical knowledge base of magnanimity is collected arrangement by knowledge base storage subsystem first, forms structurized knowledge piece
(fragment), constitute knowledge piece collection (fragments).Knowledge piece is the blocks of knowledge that can not be subdivided, each knowledge
Piece is marked by a unique ID, for later retrieval and association.The structure of knowledge base needs specialized medical to support, knowledge
The acquisition of information data is mainly responsible for by medical professional with consolidation, and software system provides operation template complementary medicine personnel and enters
The structure of line number word knowledge base, the knowledge piece model such as Fig. 3 Jing after decomposing.
Tag control subsystem responsible defined to the definition of label, label determinant attribute, and knowledge piece (fragment)
Association definition etc., is made up of tag library and rule base.
Tag library is made up of a series of label records (Record), and label record is atomized label and combination tag two again
Kind, combination tag is the community of 2 or multiple atomic tags composition.Atomic tag can be uniquely mapped to one or more knowledge
Piece；And combination tag must then be fulfilled for input item hit combination in each label when, be just mapped to corresponding knowledge piece.Mark
Label mainly have two kinds of text type and type expression, can extend.Text type label is such as：Headache, dizzy, vomiting etc.；Table
Up to formula label such as：Blood pressure=130/90mmHg, blood glucose=6.5mmol/L etc..
Label rule base refers to that label and the matched rule of knowledge piece are defined, and both defines, when specific label (collection) is hit,
What corresponding knowledge piece (collection) is.
The definition of label is by medical professional's manual operations.Software system provides intelligent label identification auxiliary, helps use
Family quickly carries out tag definition.The determinant attribute of label includes：Accurately mate/fuzzy matching, independent matching/multi-tag matching
Deng so as to realize more accurate matched rule, the matching degree of raising knowledge.
Label is the core of the system, is to realize health account automatization, targetedly personalization, important prerequisite.At this
In system, tag match rule is designed to following several basic models：Model is 1.：1 label (atomic tag) maps one
Knowledge, such as Fig. 4：When tag is hit, the knowledge piece (fragment) matched with specific " knowledge piece ID " is returned.Model is 2.：1
Individual label (atomic tag) maps a plurality of knowledge, such as Fig. 5：When tag is hit, the corresponding knowledge piece collection of multiple knowledge piece ID is returned
(fragment).Model is 3.：Multiple labels (combination tag) map a knowledge, such as Fig. 6：Tag1, tag2 are hit at the same time ...
During tagn, return and specific " knowledge piece ID " corresponding knowledge piece.Model is 4.：Multiple labels (combination tag) map a plurality of to be known
Know, such as Fig. 7：Tag1 is hit at the same time, during tag2 ... tagn, returns the knowledge piece collection matched with knowledge piece ID.
The core work of tag control subsystem is exactly to create and safeguard the mapping relations between label and knowledge piece ID.When adopting
When collecting user personality data, it is possible to according to this tag library, carry out the search of knowledge piece.
Data acquisition subsystem is the source of intellectual medical knowledge base management system work, in no any input data
In the case of, intellectual medical knowledge base cannot provide the knowledge piece matched with user characteristicses.
The focus of data acquisition subsystem includes data acquisition and data analysiss two large divisions, it is obvious that data are adopted
The input of collection is the privatization data miscellaneous of user, and the result for exporting label search subsystem is then to meet certain
Formatting (or structuring) data of condition.Otherwise, any intelligentized system is all difficult to data rambling in the face of a pile.
Data acquisition subsystem realizes that output data Regularization is realized by a series of " input models ", by one is
Row disaggregated model, realizes that user key words are gathered.Specifically, it is set with following kind of data model to see below in current system
Table：
Data model can extend, and according to the data type and data characteristicses of required collection, expansible design is quantitative, qualitative
Etc. different types of data collecting model.To be that intellectual medical knowledge base is carried out subsequently after the processing means of orderly collection
Matching and the return of knowledge piece lay a good foundation.
Label search subsystem is exactly, according to set input, to scan for from tag library, and returns corresponding knowledge
Piece.Here the input said, refers to the input after data with analyzing subsystem process, rather than arbitrarily rambling
Input.
The input of label search is that, by the incoming label of external system or tally set, matching principle is as follows：According to input mark
Collection is signed, permutation and combination is carried out, is obtained all possible tag combination.Such as input, " tag1=has a headache, tag2=fevers, tag3=
Blood pressure=130/65mmHg ", totally 3 labels, then tag combination number havePlant atomic tagPlant diatomic tag combinationPlant 3 atomic tags to combine, totally 7 kinds.Then, all qualified records are retrieved in tag library with this 7 kinds of labels, and
Return recording collection, the knowledge piece (fragments) of specific label of as coincideing.
The preferred embodiments of the present invention are the foregoing is only, the present invention is not limited to above-mentioned embodiment, as long as with
Essentially identical means realize that the technical scheme of the object of the invention is belonged within protection scope of the present invention.
Claims (9)
1. the intellectual medical knowledge base management system based on label, the knowledge base are made up of knowledge valut and tag library, wherein
Knowledge valut is the structured storage of medical knowledge, and tag library is define to carry out automatically retrieval medical knowledge a series of
Label and matched rule, it is characterised in that：The intellectual medical knowledge base management system includes knowledge base storage subsystem, label
Management subsystem, data acquisition subsystem, label search subsystem；
The knowledge base storage subsystem arranges and is formed structurized knowledge piece, institute for primitive medicine information data is collected
The knowledge valut is constituted by knowledge piece；
The tag control subsystem responsible defined to the tag definition of tag library, label determinant attribute, associate with knowledge piece
Definition；
The data acquisition subsystem is used to gather the keyword of user input and be converted into searchable format data；
The format data to be retrieved provided according to data acquisition subsystem by the label search subsystem, enters from tag library
Line search finds corresponding label, and returns corresponding knowledge piece from knowledge valut according to the label for finding.
2. the intellectual medical knowledge base management system based on label according to claim 1, it is characterised in that：The knowledge
Knowledge piece is also decomposed into knowledge piece ID and knowledge content by library storage subsystem, and the knowledge piece ID is closed with the label for matching
Connection.
3. the intellectual medical knowledge base management system based on label according to claim 1, it is characterised in that：The label
The tag types in storehouse include text type and type expression, and arrange Extended-type option.
4. the intellectual medical knowledge base management system based on label according to claim 1, it is characterised in that：The label
Storehouse is made up of a series of label records, and label record is atomized two kinds of label and combination tag again, and combination tag is 2 or many
The community of individual atomic tag composition, atomic tag are uniquely mapped to one or more knowledge piece；And combination tag must then be expired
When sufficient input item hits each label in combination, corresponding knowledge piece is just mapped to.
5. the intellectual medical knowledge base management system based on label according to claim 1, it is characterised in that：The label
The determinant attribute of definition includes accurately mate, fuzzy matching, independent matching, multi-tag matching.
6. the intellectual medical knowledge base management system based on label according to claim 1, it is characterised in that：The data
The keyword of acquisition subsystem collection user input is realized based on different types of input model.
7. the intellectual medical knowledge base management system based on label according to claim 6, it is characterised in that：The input
Model includes symptom class model, measurement class model and life class model.
8. the intellectual medical knowledge base management system based on label according to claim 7, it is characterised in that：The symptom
The keyword of class model is selected in terminal by user, and expression way is character string；The keyword of the measurement class model is by certainly
Measurement equipment is gathered or biochemistry detection collection, and expression way is expression formula；The keyword of the symptom class model is by Health questionnaire
Obtain, expression way is expression formula.
9. the intellectual medical knowledge base management system based on label according to claim 1, it is characterised in that：The label
The format data to be retrieved that retrieval subsystem is obtained is the tally set of multiple labels composition, and label search subsystem is by tally set
Permutation and combination is carried out, all of tag combination is obtained, all qualified knowledge pieces is then retrieved from tag library and is returned
Knowledge piece.
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| CN107480140A (en) * | 2017-08-23 | 2017-12-15 | 北京仿真中心 | A kind of intelligent case library implementation method based on crowd's wound |
| CN109033267A (en) * | 2018-07-09 | 2018-12-18 | 广州极天信息技术股份有限公司 | A kind of intelligentized knowledge pours into system and method |
| CN109213750A (en) * | 2017-06-30 | 2019-01-15 | 勤智数码科技股份有限公司 | A kind of information resources recommended method of knowledge based library label |
| CN111984805A (en) * | 2020-07-06 | 2020-11-24 | 北京欧应信息技术有限公司 | Method for establishing orthopedics cloud image database based on orthopedics knowledge graph |
| CN112035440A (en) * | 2020-09-01 | 2020-12-04 | 中国银行股份有限公司 | Knowledge base management method and device, electronic equipment and storage medium |
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Application publication date: 20170426 |