CN106919671A - A kind of traditional Chinese medical science text medical record is excavated and aid decision intelligence system - Google Patents
A kind of traditional Chinese medical science text medical record is excavated and aid decision intelligence system Download PDFInfo
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- CN106919671A CN106919671A CN201710090812.3A CN201710090812A CN106919671A CN 106919671 A CN106919671 A CN 106919671A CN 201710090812 A CN201710090812 A CN 201710090812A CN 106919671 A CN106919671 A CN 106919671A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/36—Creation of semantic tools, e.g. ontology or thesauri
- G06F16/367—Ontology
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/35—Clustering; Classification
- G06F16/355—Class or cluster creation or modification
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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
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
Abstract
Excavated the invention discloses a kind of traditional Chinese medical science text medical record and aid decision intelligence system, be related to natural language processing, tcm diagnosis auxiliary information techniques field.Based on the non-structured text case history that true rule patient medical history is write, realize automation traditional Chinese medical science principle-method-recipe-medicines, diagnosis and treatment Knowledge Extraction and expression, including the database in back-end server and the knowledge of TCM collection of illustrative plates that is located on front-end computer it is online apply offline, it is stored with core side according to certain data store organisation in database, disease pair, syndrome, the Data-Link of correlation between pathogenesis development law and above-mentioned Knowledge Element, retrieved by the map nodes of knowledge of TCM collection of illustrative plates, set of node is retrieved, zone location, the analysis result for drawing has merged directed networkses, semantic distance, coordinate setting, the characteristics such as the topological analysis based on hierarchical clustering, greatly strengthen core side, disease pair, syndrome, the ability of discovery of correlation between pathogenesis development law and above-mentioned Knowledge Element.
Description
Technical field
Excavated and auxiliary the present invention relates to tcm diagnosis auxiliary information techniques field, more particularly to a kind of traditional Chinese medical science text medical record
Intelligent decision-making system.
Background technology
Traditional Chinese physician needs to have perfect stock of knowledge and abundant diagnostic experiences could calmly tackle complicated and changeable facing
Bed situation, therefore, the accuracy and speed of low age and service seniority diagnosis are all limited to by personal experience.At the same time, famous physician with
Age and service seniority doctor high have accumulated and a large amount of diagnosis and treatment experiences and test case proved recipe, but limited by space-time cannot be converted at once Explicit Knowledge for
With reference to.Have many medical knowledge collection of illustrative plates this year to come out, the Knowledge Element in extraction medical consultations guide or in Medical Dictionary is simultaneously
It is incorporated into clinical service doctor in knowledge base.But consider from source, the renewal speed of Medical guidelines and dictionary is slower, and covering face has
Limit, it is impossible to tackle clinical decision demand complicated and changeable；From in terms of function aspects, existing knowledge storehouse has only accomplished that Knowledge Element is relevant
The integration and inquiry of system, are not directed to the discovery and analysis of potential incidence relation；From in terms of effect of visualization, the inquiry in existing knowledge storehouse
Returning result based on text, as a result statistical information is relatively simple and be inconvenient to be screened, the further inquiry such as quadratic search.
The content of the invention
The invention aims to solve shortcoming present in prior art, and the one kind for proposing can aid in doctor of traditional Chinese medicine
The traditional Chinese medical science text medical record for carrying out quick diagnosis is excavated and aid decision intelligence system.
To achieve these goals, present invention employs following technical scheme：
A kind of traditional Chinese medical science text medical record is excavated and excavated and aid decision with aid decision intelligence system, the traditional Chinese medical science text medical record
Intelligence system depends on knowledge of TCM collection of illustrative plates, including database in back-end server and is located on front-end computer
Knowledge of TCM collection of illustrative plates it is online apply offline；
In the database according to certain data store organisation be stored with core side, disease to, syndrome, pathogenesis
The Data-Link of correlation between development law and above-mentioned Knowledge Element；
Knowledge of TCM collection of illustrative plates it is online offline application is retrieved by the map nodes of knowledge of TCM collection of illustrative plates, set of node is examined
Rope, zone location, draw and merged including but not limited to directed networkses, semantic distance, coordinate setting, based on hierarchical clustering
Topological analysis characteristic analysis result.
A kind of above-mentioned traditional Chinese medical science text medical record is excavated and aid decision intelligence system, during the knowledge of TCM collection of illustrative plates includes
The principle-method-recipe-medicines Knowledge Element extracting of Medical Records and correlation build automatically, comprise the following steps：
S1, standard Structured information model is defined according to traditional Chinese medicine and pharmacy ontologies and distinguished veteran doctors of TCM clinical practice experience；
S2, Knowledge Element is extracted by online input system and text analyzing；
S3, the visual knowledge of TCM collection of illustrative plates of structure；
S4, the Construction of knowledge elements for being included the clinic diagnosis thinking in knowledge of TCM collection of illustrative plates by semantic net structure module
The mapping of corresponding coordinate, and the semantic distance information set up between core side, set up between core side and embody the oriented of the degree of association
Network.
S5, according to Knowledge Map present node-classification feature distribution, using Complex Networks Analysis excavate core principle-method-recipe-medicines
And its correlation；
S6, new sample realize that the similar of knowledge-based inference tests case, diagnosis, therapeutic scheme recommendation when adding, realize intelligence
Can aid decision.
A kind of above-mentioned traditional Chinese medical science text medical record is excavated and aid decision intelligence system, the establishment of the knowledge of TCM collection of illustrative plates
Including step：
A, the medical record data for setting up knowledge mapping are gathered from data source and is accordingly pre-processed；
B, the data according to handled by carry out semantic complex network Knowledge Element node and the knowledge for building knowledge mapping
The extraction of dependency relation between unit；
C, to the Knowledge Element for extracting represented according to the characteristic of division of medical science attribute, and Knowledge Element dependency relation is entered
Row assigns power；
D, carry out the multidimensional visual presentation of basic statistics according to the knowledge mapping set up, and according to doctor's need
Asking intuitively screen to carry out depth analysis excavation；
A kind of above-mentioned traditional Chinese medical science text medical record is excavated and aid decision intelligence system, in specific implementation step a, from medical science
The medical record data of data source collection are divided into the following two kinds mode again：
1) standardize data inputting, and typing field is predefined according to analysis demand, and standardization typing is taken to new medical record；
2) Data Format Transform；Medical record data form is arranged, grouped data, Boolean type data are carried out according to data type
Quantize conversion.
A kind of above-mentioned traditional Chinese medical science text medical record is excavated and aid decision intelligence system, in specific implementation step b, complex web
Network Knowledge Element node and the extraction step for dependency relation between the Knowledge Element for building knowledge mapping also include step：
B1, according to standardization the contained content of medical record each record is abstracted into a Knowledge Element node；
B2, conclusion main concept and the relation between attribute, and concept, the Analysis of Hierarchy Structure between structuring concept are complete
Into the foundation of Knowledge Element body frame.
A kind of above-mentioned traditional Chinese medical science text medical record is excavated and aid decision intelligence system, is also included in specific implementation step c
Step：
C1, the Knowledge Element node in step 2 is divided into by four major class dozens of subclasses according to ontology knowledge framework：Patient base
Data, traditional Chinese medical science four methods of diagnosis information, physical and chemical inspection index, therapeutic rule；
C2, it is relation carrier with medical record, sets up the set of relations between Knowledge Element node and merge and assign respective weights according to the frequency.
A kind of above-mentioned traditional Chinese medical science text medical record is excavated and aid decision intelligence system, is also included in specific implementation step d
Step：
D1, directly screening retrieval,
D11) user directly clicks respective nodes, and other sections related to selected condition are observed by the linkage of chart
Point；For example, a certain symptom or card type are selected, observation correspondence therapeutic rule or the side's of sending medication；
D12) user as needed self assemble node interested and corresponding physical and chemical index composition pivot table, by data
The a certain intervening measure of fluoroscopic observation is excavated for the influence of corresponding index with the deep layer for carrying out effective therapeutic rule；
D2, Complex Networks Analysis,
D21 complex network set of node) is set up according to step c and set of relations sets up directed networkses, direction represents node institute
The sequencing that category Knowledge Element occurs in same medical record, the node for first occurring is relation starting point, and the node for occurring afterwards is arrow
Head points to point；
D22) by above-mentioned complex network with topological diagram form exhibition, Node color represents identified different nodes in step c
Classification, node size represents overall frequency of occurrence；
D23) user chooses the node of any classification random scale as needed, and the node represented by complex network is closed
Connection relation carries out the depth analysis of multi-angle.
Beneficial effects of the present invention：Retrieved by the map nodes of knowledge of TCM collection of illustrative plates, set of node is retrieved, region is fixed
Position, the analysis result for drawing has merged directed networkses, semantic distance, coordinate setting, the topological analysis based on hierarchical clustering etc.
Characteristic, greatly strengthen disease, syndrome, pathogenesis development law and relevant knowledge unit correlation discovery energy
Power.Traditional Chinese medical science personnel can be quickly obtained the interpretation of the cause, onset and process of an illness inference network Visualization Model of correspondence disease by the intelligence system, efficiently dig
The potential knowledge that pick name doctor is tested in case；Multidimensional visual analyzing provide to the abundant observation visual angle of medical record and it is directly perceived easily
Screening retrieval mode, it is easy to user creatively discovered knowledge unit node between contact, improve the traditional Chinese medical science to the cause of disease, therapeutic rule
Deng the understanding efficiency of inherent diagnosis and treatment rule, help rapidly and accurately to diagnose.
Brief description of the drawings
Fig. 1 is structure schematic flow sheet of the invention；
Fig. 2 is the schematic diagram that the principle-method-recipe-medicines Knowledge Element extracting of middle Medical Records and correlation build automatically；
Fig. 3 is the concept logic level of Knowledge Element node；
Fig. 4 is that the stratification node diagnostic frequency is distributed arborescence；
Fig. 5 is diagnostic message and observation index PivotTables；
Fig. 6 is traditional Chinese medical science text case history exemplary plot of the present invention as Knowledge Extraction data source；
Fig. 7 is the standardization medical record conversion generation surface chart of Fig. 6 data；
Fig. 8 is knowledge of TCM map construction schematic diagram of the invention；
Fig. 9 is the automatic structure design sketch of interpretation of the cause, onset and process of an illness inference network of the present invention based on traditional Chinese medical science case；
Figure 10 is traditional Chinese medical science case directed networkses corporations' relation of the present invention and Clustering Effect figure.
Specific embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.
As shown in Figures 1 to 10, excavated and aid decision intelligence system, institute the invention provides a kind of traditional Chinese medical science text medical record
State the excavation of traditional Chinese medical science text medical record and depend on knowledge of TCM collection of illustrative plates with aid decision intelligence system, including in back-end server
Database and the knowledge of TCM collection of illustrative plates that is located on front-end computer it is online apply offline；
In the database according to certain data store organisation be stored with core side, disease to, syndrome, pathogenesis
The Data-Link of interrelated relation between development law and above-mentioned Knowledge Element；
Knowledge of TCM collection of illustrative plates it is online offline application is retrieved by the map nodes of knowledge of TCM collection of illustrative plates, set of node is examined
Rope, zone location, draw merged including but not limited to directed networkses, semantic distance, coordinate setting, based on hierarchical clustering
The analysis result of topological analysis characteristic.
Traditional Chinese medical science text medical record is excavated and the building process of aid decision intelligence system is specific as depicted in figs. 1 and 2, and name doctor test
Case Knowledge Element abstraction module has word-dividing mode, semantic tagger module and a compound semantic primitive identification module, and word-dividing mode will be
The medical record data of line typing and collection from text case carry out participle for Knowledge Element, then enter rower by semantic tagger module
Note, is combined being identified by compound semantic primitive identification module for semanteme phrase.Then, deep learning device semantic net builds mould
Block builds complex network model with two tuple complex network models, is exported finally by Visual decision-making output module and visualized
Decision-making, including intelligent diagnostics, test case recommend and therapeutic scheme recommend.
Specifically, being excavated with aid decision intelligence system in a kind of above-mentioned traditional Chinese medical science text medical record, the traditional Chinese medicine is known
Knowing collection of illustrative plates includes the structure of core side, and the structure of the core side comprises the following steps：
S1, standard Structured information model is defined according to traditional Chinese medicine and pharmacy ontologies and distinguished veteran doctors of TCM clinical practice experience；
S2, Knowledge Element is extracted by online input system and text analyzing；
S3, the visual knowledge of TCM collection of illustrative plates of structure；
S4, the Construction of knowledge elements for being included the clinic diagnosis thinking in knowledge of TCM collection of illustrative plates by semantic net structure module
The mapping of corresponding coordinate, and the semantic distance information set up between core side, set up between core side and embody the oriented of the degree of association
Network.
S5, according to Knowledge Map present node-classification feature distribution, using Complex Networks Analysis excavate core principle-method-recipe-medicines
And its correlation；
S6, new sample realize that the similar of knowledge-based inference tests case, diagnosis, therapeutic scheme recommendation when adding, realize intelligence
Can aid decision.
Specifically, being excavated with aid decision intelligence system in a kind of above-mentioned traditional Chinese medical science text medical record, the traditional Chinese medicine is known
The establishment for knowing collection of illustrative plates includes step：
A, the medical record data for setting up knowledge mapping are gathered from data source and is accordingly pre-processed；
B, the data according to handled by carry out semantic complex network Knowledge Element node and the knowledge for building knowledge mapping
The extraction of dependency relation between unit；
C, to the Knowledge Element for extracting represented according to the characteristic of division of medical science attribute, and Knowledge Element dependency relation is entered
Row assigns power；
D, carry out the multidimensional visual presentation of basic statistics according to the knowledge mapping set up, and according to doctor's need
Asking intuitively screen to carry out depth analysis excavation；
In specific implementation step a, the following two kinds mode is divided into again from the medical record data of medical science data source collection：1) specification
Change data inputting, typing field is predefined according to analysis demand, take new medical record standardization typing, such as Fig. 6 takes out for knowledge
The traditional Chinese medical science text case history exemplary plot of data source is taken, typing form is as shown in Figure 7；2) Data Format Transform；Arrange medical record data
Grouped data, Boolean type data are carried out the conversion that quantizes by form according to data type.
A kind of above-mentioned traditional Chinese medical science text medical record is excavated and aid decision intelligence system, in specific implementation step b, complex web
Network Knowledge Element node and the extraction step for dependency relation between the Knowledge Element for building knowledge mapping also include step：
B1, according to standardization the contained content of medical record each record is abstracted into a Knowledge Element node；
B2, conclusion main concept and the relation between attribute, and concept, the Analysis of Hierarchy Structure between structuring concept are complete
Foundation into Knowledge Element body frame is as shown in Figure 2.
A kind of above-mentioned traditional Chinese medical science text medical record is excavated and aid decision intelligence system, is also included in specific implementation step c
Step：
C1, the Knowledge Element node in step 2 is divided into by four major class dozens of subclasses according to ontology knowledge framework：Patient base
Data, traditional Chinese medical science four methods of diagnosis information, physical and chemical inspection index, therapeutic rule；
C2, it is relation carrier with medical record, sets up the set of relations between Knowledge Element node and merge and assign respective weights according to the frequency.
According to step b draw weight set up the node frequency distribution arborescence as shown in figure 4, arborescence construction unit by
Nodal community is grouped to feature, and by the way of layering data are carried out with frequency distribution description.
A kind of above-mentioned traditional Chinese medical science text medical record is excavated and aid decision intelligence system, is also included in specific implementation step d
Step：
D1, directly screening retrieval,
D11) user directly clicks respective nodes, and other sections related to selected condition are observed by the linkage of chart
Point；For example, a certain symptom or card type are selected, observation correspondence therapeutic rule or the side's of sending medication；
D12) user as needed self assemble node interested and corresponding physical and chemical index composition pivot table, pivot table is such as
Shown in Fig. 5, influence of a certain intervening measure for corresponding index is observed by pivot, to carry out the depth of effective therapeutic rule
Layer is excavated；
D2, Complex Networks Analysis,
D21 complex network set of node) is set up according to step c and set of relations sets up directed networkses, direction represents node institute
The sequencing that category Knowledge Element occurs in same medical record, the node for first occurring is relation starting point, and the node for occurring afterwards is arrow
Head points to point；
D22) by above-mentioned complex network with topological diagram form exhibition, Node color represents identified different nodes in step c
Classification, node size represents overall frequency of occurrence；
D23) user chooses the node of any classification random scale as needed, and the node represented by complex network is closed
Connection relation carries out the depth analysis of multi-angle.
The present invention is retrieved by the map nodes of knowledge of TCM collection of illustrative plates, set of node is retrieved, zone location, the analysis for drawing
Result has merged the characteristics such as directed networkses, semantic distance, coordinate setting, the topological analysis based on hierarchical clustering, greatly enhances
Disease, between syndrome, pathogenesis development law and above-mentioned Knowledge Element interrelated relation ability of discovery.Traditional Chinese medical science people
Member can be quickly obtained by the intelligence system carries out knowledge extraction, the interpretation of the cause, onset and process of an illness inference network of correspondence disease to traditional Chinese medical science text case history
Visualization Model, efficiently excavates the potential knowledge that name doctor is tested in case；Multidimensional visual analyzing provides the abundant sight to medical record
Examine and visual angle and intuitively easily screen retrieval mode, it is easy to user's contact creatively between the first node of discovered knowledge, improve
The traditional Chinese medical science helps rapidly and accurately to diagnose to the understanding efficiency of the inherence diagnosis and treatment rule such as the cause of disease, therapeutic rule.
The above, the only present invention preferably specific embodiment, but protection scope of the present invention is not limited thereto,
Any one skilled in the art the invention discloses technical scope in, technology according to the present invention scheme and its
Inventive concept is subject to equivalent or change, should all be included within the scope of the present invention.
Claims (7)
1. a kind of traditional Chinese medical science text medical record is excavated and aid decision intelligence system, it is characterised in that the traditional Chinese medical science text medical record is excavated
Knowledge of TCM collection of illustrative plates is depended on aid decision intelligence system, including database in back-end server and be located at front end
Knowledge of TCM collection of illustrative plates on computer it is online apply offline；
In the database according to certain data store organisation be stored with core side, disease to, syndrome, pathogenesis develop
The Data-Link of correlation between rule and above-mentioned Knowledge Element；
Knowledge of TCM collection of illustrative plates it is online offline application is retrieved by the map nodes of knowledge of TCM collection of illustrative plates, set of node is retrieved, area
Domain positions, and draws and has merged including but not limited to directed networkses, semantic distance, coordinate setting, opening up based on hierarchical clustering
Flutter the analysis result of analytical characteristics.
2. a kind of traditional Chinese medical science text medical record according to claim 1 is excavated and aid decision intelligence system, it is characterised in that institute
Principle-method-recipe-medicines Knowledge Element extracting and correlation of the knowledge of TCM collection of illustrative plates including middle Medical Records is stated to build automatically, including following step
Suddenly：
S1, standard Structured information model is defined according to traditional Chinese medicine and pharmacy ontologies and distinguished veteran doctors of TCM clinical practice experience；
S2, Knowledge Element is extracted by online input system and text analyzing；
S3, the visual knowledge of TCM collection of illustrative plates of structure；
S4, the Construction of knowledge elements correspondence for being included the clinic diagnosis thinking in knowledge of TCM collection of illustrative plates by semantic net structure module
Coordinate mapping, and the semantic distance information set up between core side sets up between core side and embodies the directed networkses of the degree of association.
S5, according to Knowledge Map present node-classification feature distribution, using Complex Networks Analysis excavate core principle-method-recipe-medicines and its
Correlation；
S6, new sample realize that the similar of knowledge-based inference tests case, diagnosis, therapeutic scheme recommendation when adding, realize that intelligence is auxiliary
Help decision-making.
3. a kind of traditional Chinese medical science text medical record according to claim 1 is excavated and aid decision intelligence system, it is characterised in that institute
The establishment for stating knowledge of TCM collection of illustrative plates includes step：
A, the medical record data for setting up knowledge mapping are gathered from data source and is accordingly pre-processed；
B, according to handled by data carry out semantic complex network Knowledge Element node and for build knowledge mapping Knowledge Element it
Between dependency relation extraction；
C, to the Knowledge Element for extracting represented according to the characteristic of division of medical science attribute, and Knowledge Element dependency relation is assigned
Power；
D, carry out the multidimensional visual presentation of basic statistics according to the knowledge mapping set up, and are entered according to doctor's demand
Row is directly perceived to be screened to carry out depth analysis excavation.
4. a kind of traditional Chinese medical science text medical record according to claim 3 is excavated and aid decision intelligence system, it is characterised in that
During specific implementation step a, the following two kinds mode is divided into again from the medical record data of medical science data source collection：
1) standardize data inputting, and typing field is predefined according to analysis demand, and standardization typing is taken to new medical record；
2) Data Format Transform；Medical record data form is arranged, numerical value is carried out to grouped data, Boolean type data according to data type
Change conversion.
5. a kind of traditional Chinese medical science text medical record according to claim 3 is excavated and aid decision intelligence system, it is characterised in that
During specific implementation step b, complex network Knowledge Element node and taken out for dependency relation between the Knowledge Element for building knowledge mapping
Taking step also includes step：
B1, according to standardization the contained content of medical record each record is abstracted into a Knowledge Element node；
B2, conclusion main concept and the relation between attribute, and concept, the Analysis of Hierarchy Structure between structuring concept complete to know
Know the foundation of meta-ontology framework.
6. a kind of traditional Chinese medical science text medical record according to claim 3 is excavated and aid decision intelligence system, it is characterised in that
Also include step during specific implementation step c：
C1, the Knowledge Element node in step 2 is divided into by four major class dozens of subclasses according to ontology knowledge framework：Patient base is provided
Material, traditional Chinese medical science four methods of diagnosis information, physical and chemical inspection index, therapeutic rule；
C2, it is relation carrier with medical record, sets up the set of relations between Knowledge Element node and merge and assign respective weights according to the frequency.
7. a kind of traditional Chinese medical science text medical record according to claim 3 is excavated and aid decision intelligence system, it is characterised in that
Also include step during specific implementation step d：
D1, directly screening retrieval,
D11) user directly clicks respective nodes, and other nodes related to selected condition are observed by the linkage of chart；Example
Such as, a certain symptom or card type, observation correspondence therapeutic rule or the side's of sending medication are selected；
D12) user as needed self assemble node interested and corresponding physical and chemical index composition pivot table, by pivot
Influence of a certain intervening measure for corresponding index is observed, is excavated with the deep layer for carrying out effective therapeutic rule；
D2, Complex Networks Analysis,
D21 complex network set of node) is set up according to step c and set of relations sets up directed networkses, direction represents and know belonging to node
Know the sequencing that unit occurs in same medical record, the node for first occurring is relation starting point, and the node for occurring afterwards refers to for arrow
Xiang Dian；
D22) by above-mentioned complex network with topological diagram form exhibition, Node color represents identified different node classifications in step c,
Node size represents overall frequency of occurrence；
D23) user chooses the node of any classification random scale as needed, and the node represented by complex network is associated and closed
System carries out the depth analysis of multi-angle.
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