CN106933983A - A kind of construction method of knowledge of TCM collection of illustrative plates - Google Patents
A kind of construction method of knowledge of TCM collection of illustrative plates Download PDFInfo
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- CN106933983A CN106933983A CN201710090066.8A CN201710090066A CN106933983A CN 106933983 A CN106933983 A CN 106933983A CN 201710090066 A CN201710090066 A CN 201710090066A CN 106933983 A CN106933983 A CN 106933983A
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
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Abstract
The invention discloses a kind of construction method of knowledge of TCM collection of illustrative plates, it is related to medical science big data, knowledge mapping technical field, solve existing knowledge of TCM graphical spectrum technology evaluation criterion inconsistent, the conclusion for drawing has redundancy or unaccountable with traditional compatibility theory.It excavates extraction Knowledge Element, sample relation from TCM Literature and text, and Knowledge Element and sample relation are converted to by directed networkses vector model by deep learning device, oriented/the Undirected networks of relation is showed knowledge mapping model in visual mode, then visually exported in the way of Knowledge Map and knowledge reasoning network.The present invention incorporates depth learning technology on the basis of existing map construction method, impart the individuality coordinate mapping of each blocks of knowledge, take full advantage of range information, the association between them is embodied, has significant superiority on the association Journal of Sex Research of herbal pair semantic retrieval, visualization Chinese medicine community discovery, simple and square foundation.
Description
Technical field
The present invention relates to medical science big data graphical spectrum technology field, more particularly to a kind of structure side of knowledge of TCM collection of illustrative plates
Method.
Background technology
Knowledge mapping is a kind of knowledge base of graph structure, belongs to the category of knowledge engineering.Different from general knowledge storehouse, knowledge
Collection of illustrative plates merges all subjects, and the blocks of knowledge of separate sources, different type, different structure is associated into figure by link, is based on
The metadata of each subject, provides the user more range, the knowledge hierarchy of more depth and constantly expands.It is substantially to know field
Know data system, relativization, and by Knowledge Visualization in the way of scheming.In simple terms, knowledge mapping is based on information system
The knowledge hierarchy of foundation, by technologies such as data acquisition, data mining, information processing, knowledge measure and graphic plottings complicated
Ken systematically show, disclose ken active development rule.The application of knowledge mapping, extends former section
Gain knowledge the intension of collection of illustrative plates, extended its application scenarios.But the application of current knowledge mapping still is limited to search engine
And the aspect such as question answering system, other aspect applications are less.Illness, disease in medical domain, particularly traditional Chinese medicine, Chinese pharmacology with
Complicated relation is generally there is between diagnosis and treatment means, and the data model storage of existing relational model is not easy to medical science
The expansion of knowledge hierarchy content, can not intuitively refer to for traditional Chinese medical science personnel provide.And existing knowledge of TCM graphical spectrum technology
In the case of parameter setting level is skimble-scamble, the evaluation criterion that knowledge of TCM collection of illustrative plates draws is inconsistent, easily draws presence
Redundancy or with the unaccountable conclusion of traditional compatibility theory.
The content of the invention
The invention aims to solve shortcoming present in prior art, and a kind of knowledge of TCM collection of illustrative plates for proposing
Construction method.
To achieve these goals, present invention employs following technical scheme：
A kind of construction method of knowledge of TCM collection of illustrative plates, including step：
S1, from Chinese Traditional Medicine document and clinical procedure medical record, famous physician test in case excavate extract Knowledge Element, sample
Relation, as the basic data for building knowledge of TCM collection of illustrative plates；
S2, complex network structures are set up by deep learning device, Knowledge Element node is built according to Knowledge Element and sample relation
Set and line set, oriented weights network data is converted into by relation data；
S3, knowledge mapping model is visually exported.
Further, in a kind of construction method of above-mentioned knowledge of TCM collection of illustrative plates, in the implementation process of step S1
It is further comprising the steps of：
S11, data are imported, and defining standard Structured information model according to distinguished veteran doctors of TCM clinical practice experience carries out data record
Enter or import, classification storage demographic data data, Zheng Zheng main suit's data, inspection inspection data, diagnosis and prescription data etc.；
S12, extracted with reference to existing traditional Chinese medicine body standard and Knowledge Element node and set up Knowledge Element set of node；
S13, with reference to existing traditional Chinese medicine bulk system build body-Knowledge Element classification concept layer of structure；
S14, by Boolean type data, grouped data check assay be converted to numeric type data.
Further, in a kind of construction method of above-mentioned knowledge of TCM collection of illustrative plates, in the implementation process of step S2
It is further comprising the steps of：
S21, according to Knowledge Element node degree for its tax power；
S22, it is according to setting up Knowledge Element relation line set with text co-occurrence；
S23, the time series occurred with Knowledge Element are according to differentiation edge direction；
S24, with Knowledge Element co-occurrence text count summation be according to for line set assign power.
Further, in a kind of construction method of above-mentioned knowledge of TCM collection of illustrative plates, in the implementation process of step S3
It is further comprising the steps of：
S31, the step S11 in step S1, each field to classification storage carry out distribution statisticses；
The body established in S32, the step S13 in step S1-Knowledge Element concept classification level, sets up Knowledge Element
Classification tree graph is simultaneously coloured, and rea adjusting is carried out to the block of tree graph according to conceptual data collection statistical distribution；
S33, with identified concept hierarchy in step S13 in step S1 be row data, with step S14 in step S1 number
Value checks that assay field is measurement, sets up grouped data, diagnostic check result pivot table；
It is S34, statistics distribution in step S31 is corresponding with pie chart, paper slip figure, tables of data etc. according to data field type
Visual pattern is shown；
S35, patient's portrait is set up according to step S31 in step S11, step S3 in step S1, step S33, step S34；
S36, symptom main suit data analysis is set up according to step S31 in step S11, step S3 in step S1；
S37, according in step S11, step S3 in step S1 step S31 set up diagnosis and prescription data analysis；
S38, according in step S11, step S3 in step S1 step S31, step S32 set up patient data comprehensively perspective point
Analysis.
Preferably, carrying out visually one of output form to the knowledge mapping model includes：Knowledge Element classification is integrated.
Preferably, carrying out visually one of output form to the knowledge mapping model includes：User draws a portrait.
Preferably, carrying out visually one of output form to the knowledge mapping model includes：Knowledge Map.
Further, the map generator is used to generate the parameter of the Knowledge Map and at least includes：Number of blocks, figure
Spectrum size and Knowledge Element scope.
Preferably, carrying out visually one of output form to the knowledge mapping model includes：Knowledge reasoning network.
Further, the knowledge reasoning network is used to generate Knowledge Element structure by the knowledge mapping auto-building model
Into oriented weighted network, each sample relation, node in the oriented weighted network that the Knowledge Element is constituted be respectively provided with weight, and
Can automatic/hand definition number of clusters.
Beneficial effects of the present invention：The present invention incorporates depth learning technology on the basis of existing map construction method, assigns
Give each blocks of knowledge individuality coordinate to map, taken full advantage of range information, the association between them has been embodied, in herbal pair
Semantic retrieval, visualization associate Journal of Sex Research between Chinese medicine community discovery, and disease and user group, card type and user group
On have significant superiority.
Brief description of the drawings
Fig. 1 is the flow chart of the construction method of knowledge of TCM collection of illustrative plates in the embodiment of the present invention；
Fig. 2 is the localized interface figure that knowledge mapping model of the present invention is visually exported patient's portrait；
Fig. 3 is the localized interface figure that the present invention visually exports symptom main suit data results；
Fig. 4 is the localized interface figure of present invention visualization output diagnosis and prescription data results；
Fig. 5 is the localized interface figure that present invention visualization output patient data comprehensively has an X-rayed analysis；
Fig. 6 is the localized interface figure of core symptom clustering class Knowledge Map of the invention；
Fig. 7 is the knowledge reasoning network part surface chart of Chinese medical discrimination of the present invention.
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.
The invention provides a kind of construction method of knowledge of TCM collection of illustrative plates, the process step of its specific construction method is such as
Shown in Fig. 1,
S1, excavates from TCM Literature and traditional Chinese medicine text and extracts Knowledge Element, sample relation, as building
The basic data of knowledge of TCM collection of illustrative plates；
S2, complex network structures are set up by deep learning device, and Knowledge Element node is built according to Knowledge Element and sample relation
Set and line set, oriented weights network data is converted into by relation data；
S3, is visually exported to knowledge mapping model.
Specifically, further comprising the steps of in the implementation process of step S1：
S11, data are imported, and defining standard Structured information model according to distinguished veteran doctors of TCM clinical practice experience carries out data record
Enter or import, classification storage demographic data data, Zheng Zheng main suit's data, inspection inspection data, diagnosis and prescription data etc.；
S12, extracted with reference to existing traditional Chinese medicine body standard and Knowledge Element node and set up Knowledge Element set of node；
S13, with reference to existing traditional Chinese medicine bulk system build body-Knowledge Element classification concept layer of structure；
S14, by Boolean type data, grouped data check assay be converted to numeric type data.
It is further comprising the steps of in step S2 implementation processes：
S21, according to Knowledge Element node degree for its tax power；
S22, it is according to setting up Knowledge Element relation line set with text co-occurrence；
S23, the time series occurred with Knowledge Element are according to differentiation edge direction；
S24, with Knowledge Element co-occurrence text count summation be according to for line set assign power.
It is further comprising the steps of in step S3 implementation processes：
S31, the step S11 in step S1, each field to classification storage carry out distribution statisticses；
The body established in S32, the step S13 in step S1-Knowledge Element concept classification level, sets up Knowledge Element
Classification tree graph is simultaneously coloured, and rea adjusting is carried out to the block of tree graph according to conceptual data collection statistical distribution；
S33, with identified concept hierarchy in step S13 in step S1 be row data, with step S14 in step S1 number
Value checks that assay field is measurement, sets up grouped data, diagnostic check result pivot table；
It is S34, statistics distribution in step S31 is corresponding with pie chart, paper slip figure, tables of data etc. according to data field type
Visual pattern is shown；
S35, patient's portrait is set up according to step S31 in step S11, step S3 in step S1, step S33, step S34,
It is specific as shown in Figure 2；
S36, symptom main suit data analysis is set up according to step S31 in step S11, step S3 in step S1, it is specific such as Fig. 3
It is shown；
S37, diagnosis and prescription data analysis is set up according to step S31 in step S11, step S3 in step S1, it is specific such as Fig. 4
It is shown；
S38, according in step S11, step S3 in step S1 step S31, step S32 set up patient data comprehensively perspective point
Analysis, it is specific as shown in Figure 5.
In a kind of construction method of above-mentioned knowledge of TCM collection of illustrative plates, the knowledge mapping model is carried out visually
One of output form includes：Knowledge Map.Specifically, the parameter that map generator is used to generate the Knowledge Map is at least wrapped
Include：Number of blocks, collection of illustrative plates size and Knowledge Element scope.
Yet further, in a kind of construction method of above-mentioned knowledge of TCM collection of illustrative plates, to the knowledge mapping model
Carrying out visually one of output form also includes：Knowledge reasoning network.As shown in Fig. 2 specifically, knowledge reasoning network is by institute
Knowledge mapping auto-building model is stated, is used to generate the oriented weighted network of Knowledge Element composition, it is oriented that the Knowledge Element is constituted
Each sample relation in weighted network, node are respectively provided with weight, and can automatic/hand definition number of clusters.The core disease of generation
Shape clustering class Knowledge Map with different color blocks as shown in fig. 6, be marked, the knowledge reasoning network of the Chinese medical discrimination of generation is as schemed
Shown in 7.
Combination deep learning of the invention can comprehensively both advantage, i.e. analysis result merged directed networkses, it is semantic away from
From characteristics such as, coordinate setting, the community analyses based on hierarchical clustering, medicine is greatly strengthen to core side, disease to, disease
Group, between pathogenesis development law and above-mentioned Knowledge Element interrelated relation ability of discovery.By in existing map construction
Depth learning technology is incorporated on the basis of method, the individuality coordinate mapping of each blocks of knowledge is imparted, distance letter is taken full advantage of
Breath, embodies the association between them, has aobvious on herbal pair semantic retrieval, the association Journal of Sex Research of visualization Chinese medicine community discovery
The superiority of work.
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 (10)
1. a kind of construction method of knowledge of TCM collection of illustrative plates, it is characterised in that including step：
S1, from Chinese Traditional Medicine document and clinical procedure medical record, famous physician test in case excavate extract Knowledge Element, sample close
System, as the basic data for building knowledge of TCM collection of illustrative plates；
S2, complex network structures are set up by deep learning device, Knowledge Element node set is built according to Knowledge Element and sample relation
And line set, relation data is converted into oriented weights network data；
S3, knowledge mapping model is visually exported.
2. the construction method of a kind of knowledge of TCM collection of illustrative plates according to claim 1, it is characterised in that in the reality of step S1
It is further comprising the steps of during applying：
S11, data are imported, according to distinguished veteran doctors of TCM clinical practice experience define standard Structured information model carry out data inputting or
Import, classification storage demographic data data, Zheng Zheng main suit's data, inspection inspection data, diagnosis and prescription data etc.；
S12, extracted with reference to existing traditional Chinese medicine body standard and Knowledge Element node and set up Knowledge Element set of node；
S13, with reference to existing traditional Chinese medicine bulk system build body-Knowledge Element classification concept layer of structure；
S14, by Boolean type data, grouped data check assay be converted to numeric type data.
3. the construction method of a kind of knowledge of TCM collection of illustrative plates according to claim 1, it is characterised in that in the reality of step S2
It is further comprising the steps of during applying：
S21, according to Knowledge Element node degree for its tax power；
S22, it is according to setting up Knowledge Element relation line set with text co-occurrence；
S23, the time series occurred with Knowledge Element are according to differentiation edge direction；
S24, with Knowledge Element co-occurrence text count summation be according to for line set assign power.
4. the construction method of a kind of knowledge of TCM collection of illustrative plates according to claim 2, it is characterised in that in the reality of step S3
It is further comprising the steps of during applying：
S31, the step S11 in step S1, each field to classification storage carry out distribution statisticses；
The body established in S32, the step S13 in step S1-Knowledge Element concept classification level, sets up Knowledge Element classification
Tree graph is simultaneously coloured, and rea adjusting is carried out to the block of tree graph according to conceptual data collection statistical distribution；
S33, with identified concept hierarchy in step S13 in step S1 be row data, to be quantized in step S14 in step S1
Check that assay field is measurement, set up grouped data, diagnostic check result pivot table；
It is S34, statistics distribution in step S31 is corresponding visual with pie chart, paper slip figure, tables of data etc. according to data field type
Change form is shown；
S35, patient's portrait is set up according to step S31 in step S11, step S3 in step S1, step S33, step S34；
S36, symptom main suit data analysis is set up according to step S31 in step S11, step S3 in step S1；
S37, according in step S11, step S3 in step S1 step S31 set up diagnosis and prescription data analysis；
S38, according in step S11, step S3 in step S1 step S31, step S32 set up patient data comprehensively perspective analysis.
5. the construction method of a kind of knowledge of TCM collection of illustrative plates according to claim 1, it is characterised in that to the knowledge graph
Spectrum model carries out visually one of output form to be included：Knowledge Element classification is integrated.
6. the construction method of a kind of knowledge of TCM collection of illustrative plates according to claim 1, it is characterised in that to the knowledge graph
Spectrum model carries out visually one of output form to be included：User draws a portrait.
7. the construction method of a kind of knowledge of TCM collection of illustrative plates according to claim 1, it is characterised in that to the knowledge graph
Spectrum model carries out visually one of output form to be included：Knowledge Map.
8. a kind of construction method of knowledge of TCM collection of illustrative plates according to claim 7, it is characterised in that the map generation
The parameter that device is used to generate the Knowledge Map at least includes：Number of blocks, collection of illustrative plates size and Knowledge Element scope.
9. the construction method of a kind of knowledge of TCM collection of illustrative plates according to claim 1, it is characterised in that to the knowledge graph
Spectrum model carries out visually one of output form to be included：Knowledge reasoning network.
10. the construction method of a kind of knowledge of TCM collection of illustrative plates according to claim 9, it is characterised in that the knowledge is pushed away
Reason network is used to generate the oriented weighted network of Knowledge Element composition, the Knowledge Element by the knowledge mapping auto-building model
Each sample relation, node in the oriented weighted network for constituting are respectively provided with weight, and can automatic/hand definition number of clusters.
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| CN107861996A (en) * | 2017-10-16 | 2018-03-30 | 中国医学科学院医学信息研究所 | A kind of medicine evidence-based database Diagrams automatic creation system |
| CN108228874A (en) * | 2018-01-18 | 2018-06-29 | 北京邮电大学 | World knowledge collection of illustrative plates visualization device and method based on artificial intelligence technology |
| CN108461151A (en) * | 2017-12-15 | 2018-08-28 | 北京大学深圳研究生院 | A kind of the logic Enhancement Method and device of knowledge mapping |
| CN108549731A (en) * | 2018-07-11 | 2018-09-18 | 中国电子科技集团公司第二十八研究所 | A kind of knowledge mapping construction method based on ontology model |
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| CN109271586A (en) * | 2018-08-30 | 2019-01-25 | 上海学民网络科技有限公司 | A kind of knowledge modularization search system and processing method |
| CN109509556A (en) * | 2018-11-09 | 2019-03-22 | 天津开心生活科技有限公司 | Knowledge mapping generation method, device, electronic equipment and computer-readable medium |
| CN109739996A (en) * | 2018-12-29 | 2019-05-10 | 北京航天数据股份有限公司 | A kind of construction method and device of industry knowledge mapping |
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| CN107861996A (en) * | 2017-10-16 | 2018-03-30 | 中国医学科学院医学信息研究所 | A kind of medicine evidence-based database Diagrams automatic creation system |
| CN108461151A (en) * | 2017-12-15 | 2018-08-28 | 北京大学深圳研究生院 | A kind of the logic Enhancement Method and device of knowledge mapping |
| CN108461151B (en) * | 2017-12-15 | 2021-06-15 | 北京大学深圳研究生院 | Logic enhancement method and device of knowledge graph |
| CN108228874A (en) * | 2018-01-18 | 2018-06-29 | 北京邮电大学 | World knowledge collection of illustrative plates visualization device and method based on artificial intelligence technology |
| CN110119812A (en) * | 2018-02-07 | 2019-08-13 | 刘劲彤 | A kind of knowledge base and its methods of exhibiting, querying method |
| CN108549731A (en) * | 2018-07-11 | 2018-09-18 | 中国电子科技集团公司第二十八研究所 | A kind of knowledge mapping construction method based on ontology model |
| CN109063094A (en) * | 2018-07-27 | 2018-12-21 | 吉首大学 | A method of establishing knowledge of TCM map |
| CN109271586A (en) * | 2018-08-30 | 2019-01-25 | 上海学民网络科技有限公司 | A kind of knowledge modularization search system and processing method |
| CN109509556A (en) * | 2018-11-09 | 2019-03-22 | 天津开心生活科技有限公司 | Knowledge mapping generation method, device, electronic equipment and computer-readable medium |
| CN109739996A (en) * | 2018-12-29 | 2019-05-10 | 北京航天数据股份有限公司 | A kind of construction method and device of industry knowledge mapping |
| CN109739996B (en) * | 2018-12-29 | 2020-12-25 | 北京航天数据股份有限公司 | Construction method and device of industrial knowledge map |
| CN110704630A (en) * | 2019-04-15 | 2020-01-17 | 中国石油大学(华东) | Self-optimization mechanism for identified associated graph |
| CN110222057A (en) * | 2019-05-31 | 2019-09-10 | 浙江大学 | A kind of construction method of aerosol document formatted data base |
| CN110688549A (en) * | 2019-07-02 | 2020-01-14 | 特斯联（北京）科技有限公司 | Artificial intelligence classification method and system based on knowledge system map construction |
| CN111737482A (en) * | 2020-04-17 | 2020-10-02 | 郑敏杰 | Panoramic visualization map generation method and device suitable for data mining |
| CN111737482B (en) * | 2020-04-17 | 2021-02-19 | 郑敏杰 | Panoramic visualization map generation method and device suitable for data mining |
| CN111739595A (en) * | 2020-07-24 | 2020-10-02 | 湖南创星科技股份有限公司 | Medical big data sharing analysis method and device |
| CN112836066A (en) * | 2021-03-03 | 2021-05-25 | 湖南中医药大学 | Construction method for traditional Chinese medicine knowledge graph |
| CN113157922A (en) * | 2021-04-28 | 2021-07-23 | 江苏易安联网络技术有限公司 | Network entity behavior evaluation and visualization method based on graph |
| CN113555081A (en) * | 2021-07-19 | 2021-10-26 | 杭州甘之草科技有限公司 | Construction method of traditional Chinese medicine intelligent evolution system based on artificial intelligence |
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