CN109522413A - The construction method and device in a kind of hospital guide's medical terminology library - Google Patents
The construction method and device in a kind of hospital guide's medical terminology library Download PDFInfo
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Abstract
The present embodiments relate to technical field of data processing more particularly to the construction methods and device in a kind of hospital guide's medical terminology library, to improve the building efficiency in hospital guide's medical terminology library.The embodiment of the present invention includes: obtain the natural language to hospital guide；Using text structure model, the determining target text for belonging to identical concept with medical terminology from the natural language；Using the target text as the corresponding statement of the medical terminology, store into the corresponding statement cluster of medical terminology described in the medical terminology library；It is stored with the corresponding statement cluster of each medical terminology in the medical terminology library, includes multiple and different statements of a medical terminology in one of statement cluster.
Description
Technical field
The present invention relates to technical field of data processing more particularly to the construction methods and dress in a kind of hospital guide's medical terminology library
It sets.
Background technique
Hospital guide is also guiding doctor, is the description according to patient to itself symptom, tentatively judges patient's illnesses, and guidance
The process that patient sees a doctor to associated department.
Intelligent hospital guide is the important component for realizing intelligent hospital, and hospital guide's medical terminology library is then intelligent hospital guide
Basis.The target of hospital guide's terminology bank is the standardization of terminology that will will appear in hospital guide, so that various spoken language/dialects in hospital guide/
It is conceptive that abbreviation/containing wrong word/informal description can be correctly mapped to clear formal medical unambiguously.Traditional
The method of building hospital guide's terminology bank relies primarily on manually, a large amount of human resources is needed, by meeting in practical hospital diagnosis-guiding scene
Many different synonyms be mapped to corresponding medical concept up, it is this building hospital guide's terminology bank mode efficiency it is lower.
Summary of the invention
The application provides the construction method and device in a kind of hospital guide's medical terminology library, to improve hospital guide's medical terminology library
Construct efficiency.
A kind of construction method in hospital guide's medical terminology library provided in an embodiment of the present invention, comprising:
Obtain the natural language to hospital guide；
Using text structure model, the determining target text for belonging to identical concept with medical terminology from the natural language
This；
Using the target text as the corresponding statement of the medical terminology, store to doctor described in the medical terminology library
In the corresponding statement cluster of technics；The corresponding statement cluster of each medical terminology is stored in the medical terminology library, wherein one
It include multiple and different statements of a medical terminology in a statement cluster.
Optionally, before the acquisition is to the natural language of hospital guide, further includes:
Obtain the medical text of training；
Training text associated with medical terminology is determined from the medical text of the training, initial model is inputted, through instructing
The text structure model is obtained after white silk；
Using the training text as the corresponding statement of the medical terminology, store to doctor described in the medical terminology library
In the corresponding statement cluster of technics.
Optionally, further includes:
For M statement in the first statement cluster, each statement is split into N number of text unit according to split template,
The split template includes N number of modular unit of different attribute；Wherein N > 1；The first statement cluster is the medical terminology
Any of multiple statement clusters in library；
M*N text unit group is combined into the different statements of K, the K statement belong to first statement cluster and
Each statement includes the text unit of N number of different attribute；
The K different statements are stored in the first statement cluster into the medical terminology library.
Optionally, each medical terminology classification storage in the medical terminology library is in the medical terminology library；
It is described to store into the corresponding statement cluster of medical terminology described in the medical terminology library, comprising:
The target text is classified, and classification storage is in the corresponding expression cluster of the medical terminology, it is described
Classification includes at least symptom, position, operation.
A kind of construction device in hospital guide's medical terminology library, comprising:
Acquiring unit, for obtaining the natural language to hospital guide；
Determination unit, it is determining from the natural language to belong to together with medical terminology for utilizing text structure model
The target text of one concept；
Storage unit, for storing to the medicine using the target text as the corresponding statement of the medical terminology
In the corresponding statement cluster of medical terminology described in terminology bank；The corresponding table of each medical terminology is stored in the medical terminology library
Cluster is stated, includes multiple and different statements of a medical terminology in one of statement cluster.
Optionally, further include training unit, be used for:
Obtain the medical text of training；
Training text associated with medical terminology is determined from the medical text of the training, initial model is inputted, through instructing
The text structure model is obtained after white silk；
Using the training text as the corresponding statement of the medical terminology, store to doctor described in the medical terminology library
In the corresponding statement cluster of technics.
Optionally, the storage unit, is also used to:
For M statement in the first statement cluster, each statement is split into N number of text unit according to split template,
The split template includes N number of modular unit of different attribute；Wherein N > 1；The first statement cluster is the medical terminology
Any of multiple statement clusters in library；
M*N text unit group is combined into the different statements of K, the K statement belong to first statement cluster and
Each statement includes the text unit of N number of different attribute；
The K different statements are stored in the first statement cluster into the medical terminology library.
Optionally, each medical terminology classification storage in the medical terminology library is in the medical terminology library；
The storage unit is also used to classify the target text, and classification storage is in the medical terminology pair
In the expression cluster answered, the classification includes at least symptom, position, operation.
The embodiment of the present invention also provides a kind of electronic equipment, comprising:
At least one processor；And
The memory being connect at least one described processor communication；Wherein,
The memory is stored with the instruction that can be executed by least one described processor, and described instruction is by described at least one
A processor executes, so that at least one described processor is able to carry out any method in above-described embodiment.
The embodiment of the present invention also provides a kind of non-transient computer readable storage medium, and the non-transient computer is readable to deposit
Storage media stores computer instruction, and the computer instruction is for making the computer execute any side in above-described embodiment
Method.
In the embodiment of the present invention, system obtains the natural language to hospital guide.Using text structure model, from natural language
Middle determination and medical terminology belong to the target text of identical concept.Using the target text as the corresponding expression of medical terminology, deposit
In the corresponding statement cluster of storage medical terminology into medical terminology library.It is corresponding that each medical terminology is stored in medical terminology library
Statement clusters, and includes multiple and different statements of a medical terminology in one of statement cluster.The embodiment of the present invention is innovative
Text structure model is used to construct medical terminology library by ground, significantly improves the building efficiency in medical terminology library, is reduced to people
The dependence of work.In addition, the expression way occurred in sample data can only be handled in the prior art, for not having in sample data
The expression of appearance can not cover in medical terminology library.Text structure model only needs a small amount of training sample that can learn
To a variety of different form of presentation, in this way, the present invention is real even if the natural language to hospital guide is not included in medical terminology library
Applying example still can identify, and the natural language is stored in medical terminology library, so that the content in medical terminology library is enriched,
Expand the coverage area in medical terminology library.
Detailed description of the invention
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment
Attached drawing is briefly introduced, it should be apparent that, drawings in the following description are only some embodiments of the invention, for this
For the those of ordinary skill in field, without any creative labor, it can also be obtained according to these attached drawings
His attached drawing.
Fig. 1 is a kind of flow diagram of the construction method in hospital guide's medical terminology library provided in an embodiment of the present invention；
Fig. 2 is a kind of structural schematic diagram for the construction device for examining medical terminology library provided in an embodiment of the present invention；
Fig. 3 is the structural schematic diagram of electronic equipment provided in an embodiment of the present invention.
Specific embodiment
To make the objectives, technical solutions, and advantages of the present invention clearer, below in conjunction with attached drawing to the present invention make into
It is described in detail to one step, it is clear that the described embodiments are only some of the embodiments of the present invention, rather than whole implementation
Example.Based on the embodiments of the present invention, obtained by those of ordinary skill in the art without making creative efforts
All other embodiment, shall fall within the protection scope of the present invention.
The embodiment of the invention provides a kind of construction methods in hospital guide's medical terminology library.As shown in Figure 1, the embodiment of the present invention
The history-taking method of offer, comprising the following steps:
The natural language of step 101, acquisition to hospital guide.
Step 102, using text structure model, it is determining from the natural language to belong to identical concept with medical terminology
Target text.
Step 103, using the target text as the corresponding statement of the medical terminology, store to the medical terminology library
Described in medical terminology corresponding statement cluster；It is poly- that the corresponding statement of each medical terminology is stored in the medical terminology library
Class, one of multiple and different statements stated in cluster including a medical terminology.
In the embodiment of the present invention, system obtains the natural language to hospital guide.Using text structure model, from natural language
Middle determination and medical terminology belong to the target text of identical concept.Using the target text as the corresponding expression of medical terminology, deposit
In the corresponding statement cluster of storage medical terminology into medical terminology library.It is corresponding that each medical terminology is stored in medical terminology library
Statement clusters, and includes multiple and different statements of a medical terminology in one of statement cluster.The embodiment of the present invention is innovative
Text structure model is used to construct medical terminology library by ground, significantly improves the building efficiency in medical terminology library, is reduced to people
The dependence of work.In addition, the expression way occurred in sample data can only be handled in the prior art, for not having in sample data
The expression of appearance can not cover in medical terminology library.Text structure model only needs a small amount of training sample that can learn
To a variety of different form of presentation, in this way, the present invention is real even if the natural language to hospital guide is not included in medical terminology library
Applying example still can identify, and the natural language is stored in medical terminology library, so that the content in medical terminology library is enriched,
Expand the coverage area in medical terminology library.
For example, user inputs the natural language to hospital guide, such as " burns a little, head slightly aches, and both hands both feet have all played water
Bubble ".Have medical terminology " fever " in medical terminology library, using text structure model, determined from above-mentioned natural language with
The target text that " fever " term unifies concept is " a little burning ".Wherein, text structureization can be simply to judge nature language
The text similarity of speech and medical terminology, or the text structure of deep learning.In addition to this, in above-mentioned natural language
Target text can be dissolved with structure, such as " head slightly aches ", " hand ", " foot ", " bubble ", wherein " head slightly aches " is and medical terminology
" headache " belongs to the target text of identical concept, and " hand " is the target text for belonging to identical concept with medical terminology " hand ", " foot "
For the target text for belonging to identical concept with medical terminology " foot ", " bubble " is to belong to identical concept with medical terminology " blister "
Target text.The statement that above-mentioned target text is made to corresponding medical terminology, deposits into medical terminology library and corresponds to the table of medical terminology
It states in cluster.In the embodiment of the present invention, medical terminology and statement in medical terminology library can carry out in such a way that table maps
Storage, can also store, here with no restrictions otherwise.It include one in statement cluster in medical terminology library
Multiple and different statements of medical terminology.For example, including a variety of different expressions of " fever ", multiple and different tables in a statement cluster
Stating can be " fever ", " somewhat hot ", " high fever " etc., these statements are respectively positioned on the corresponding statement cluster of medical terminology " fever "
In.Target text " is a little burnt ", is deposited into medical terminology library in " fever " corresponding statement cluster.
The embodiment of the present invention utilizes a small amount of text case history, trains text structure model.Text structure model can
To be obtained according to following methods:
Obtain the medical text of training；
Training text associated with medical terminology is determined from the medical text of the training, initial model is inputted, through instructing
The text structure model is obtained after white silk；
Using the training text as the corresponding statement of the medical terminology, store to doctor described in the medical terminology library
In the corresponding statement cluster of technics.
Here the medical text of training, can be electronic health record, is also possible to the general case history text of hospital.It is cured from training
It treats and determines training text associated with medical terminology in text, the initial model of text structure model is inputted, by introductory die
Text structure model is obtained after type training.Meanwhile training text being stored in the statement that medical terminology is corresponded in medical terminology library
In cluster.Text structure model in the embodiment of the present invention, in addition to can recognize that the statement occurred in sample data,
It may recognize that therefore the statement occurred for the first time expands the coverage area in medical terminology library.
For the coverage area in further expansion medical terminology library, the embodiment of the invention also includes:
For M statement in the first statement cluster, each statement is split into N number of text unit according to split template,
The split template includes N number of modular unit of different attribute；Wherein N > 1；The first statement cluster is the medical terminology
Any of multiple statement clusters in library；
M*N text unit group is combined into the different statements of K, the K statement belong to first statement cluster and
Each statement includes the text unit of N number of different attribute；
The K different statements are stored in the first statement cluster into the medical terminology library.
Many expression have certain pattern in case history text.When simple artificial extraction concept synonym usually not
It can consider these modes, but they can improve the coverage rate of terminology bank significantly.Such as " growth retardation " this doctor
Technics, possible statement have " growth is somewhat slow ", " growth and development is poor ", " development is not slightly good enough " etc..If only from case history
If directly extracting storage in text, these statements can only be stored in medical terminology library.Some statements are can be according to certain
Mode split and combined.Such as " growth and development is poor " this statement, it can be according to " [observation object] [degree]
[adjective] " is split, and text unit [observation object] is " growth " here, and text unit [degree] is " compared with ", text list
First [adjective] is " poor ".Above-mentioned statement is split according to this template, then text unit [observation object] can be
" growth ", " development ", " growth and development "；Text unit [degree] can be " a little ", " compared with ", " slightly "；Text unit [describes
Word] it can be " slow ", " poor ", " not good enough ".For multiple statements in same statement cluster, according to split template by these words
Remittance is split, then is combined to text unit, it will be able to obtain 27 kinds of different statements, coverage rate significantly improves.In addition,
The different text units of template can share between different expression, for example, [degree] in previous example and expression " poor " this
[adjective] of meaning.While hospital guide's terminology bank constantly enriches, the text unit of template and each classification is also constantly long-pending
It is tired, double up the coverage rate in medical terminology library.
Further, it for the ease of the classification of statement and looks for, each medical terminology of TCM academic repertorie of the embodiment of the present invention
Classification storage is in the medical terminology library.
It is described to store into the corresponding statement cluster of medical terminology described in the medical terminology library, comprising:
The target text is classified, and classification storage is in the corresponding expression cluster of the medical terminology, it is described
Classification includes at least symptom, position, operation.
Wherein, " symptom " includes such as " fever ", " cough ", " pain " etc.." position " includes such as " hand ", " foot ", " heart
It is dirty " etc.." operation " includes such as " having an injection ", " infusion " etc..Medical terminology classification storage, then target text also accordingly deposit by classification
Storage.In this way, searching need to only carry out when using in corresponding classification, the treatment effeciency in medical terminology library is substantially increased.
For a clearer understanding of the present invention, above-mentioned process is described in detail with specific embodiment below, specifically
Step includes:
Step 201 obtains electronic health record text.
Step 202 determines training text associated with medical terminology from electronic health record text, inputs initial model,
Text structure model is obtained after trained.
Step 203, the natural language to hospital guide for obtaining user's input.
Step 204, using text structure model, the determining mesh for belonging to identical concept with medical terminology from natural language
Mark text.It is specifically as follows the input vector of each text element in determining natural language；According to the input vector of text element, really
The relevance of fixed each text element and terminology bank traditional Chinese medicine term；According to relevance from each text element determining and medical terminology
Belong to the target text of identical concept.
Step 205, by target text according to symptom, position, activity classification, and classification storage in the corresponding table of medical terminology
Up in cluster.If target text meets the requirement of split template, target text is split into multiple texts according to split template
Unit forms different statements by multiple text units according to possible combination, and these statements are stored to medical terminology
In library in corresponding statement cluster.
The embodiment of the invention also provides a kind of construction devices in hospital guide's medical terminology library, as shown in Figure 2, comprising:
Acquiring unit 301, for obtaining the natural language to hospital guide；
Determination unit 302, for utilizing text structure model, determination belongs to medical terminology from the natural language
The target text of identical concept；
Storage unit 303, for storing to the doctor using the target text as the corresponding statement of the medical terminology
In the corresponding statement cluster of medical terminology described in academic repertorie；It is corresponding that each medical terminology is stored in the medical terminology library
Statement clusters, and includes multiple and different statements of a medical terminology in one of statement cluster.
Further, further include training unit 304, be used for:
Obtain the medical text of training；
Training text associated with medical terminology is determined from the medical text of the training, initial model is inputted, through instructing
The text structure model is obtained after white silk；
Using the training text as the corresponding statement of the medical terminology, store to doctor described in the medical terminology library
In the corresponding statement cluster of technics.
Further, the storage unit 303, is also used to:
For M statement in the first statement cluster, each statement is split into N number of text unit according to split template,
The split template includes N number of modular unit of different attribute；Wherein N > 1；The first statement cluster is the medical terminology
Any of multiple statement clusters in library；
M*N text unit group is combined into the different statements of K, the K statement belong to first statement cluster and
Each statement includes the text unit of N number of different attribute；
The K different statements are stored in the first statement cluster into the medical terminology library.
Further, each medical terminology classification storage in the medical terminology library is in the medical terminology library；
The storage unit 303 is also used to classify the target text, and classification storage is in the medical terminology
In corresponding expression cluster, the classification includes at least symptom, position, operation.
Based on identical principle, the present invention also provides a kind of electronic equipment, as shown in Figure 3, comprising:
Including processor 501, memory 502, transceiver 503, bus interface 504, wherein processor 501, memory 502
It is connect between transceiver 503 by bus interface 504；
The processor 501 executes following method for reading the program in the memory 502:
Obtain the natural language to hospital guide；
Using text structure model, the determining target text for belonging to identical concept with medical terminology from the natural language
This；
Using the target text as the corresponding statement of the medical terminology, store to doctor described in the medical terminology library
In the corresponding statement cluster of technics；The corresponding statement cluster of each medical terminology is stored in the medical terminology library, wherein one
It include multiple and different statements of a medical terminology in a statement cluster.
Further, the processor 501 is specifically used for:
Obtain the medical text of training；
Training text associated with medical terminology is determined from the medical text of the training, initial model is inputted, through instructing
The text structure model is obtained after white silk；
Using the training text as the corresponding statement of the medical terminology, store to doctor described in the medical terminology library
In the corresponding statement cluster of technics.
Further, the processor 501 is specifically used for:
For M statement in the first statement cluster, each statement is split into N number of text unit according to split template,
The split template includes N number of modular unit of different attribute；Wherein N > 1；The first statement cluster is the medical terminology
Any of multiple statement clusters in library；
M*N text unit group is combined into the different statements of K, the K statement belong to first statement cluster and
Each statement includes the text unit of N number of different attribute；
The K different statements are stored in the first statement cluster into the medical terminology library.
Further, the processor 501 is specifically used for:
The target text is classified, and classification storage is in the corresponding expression cluster of the medical terminology, it is described
Classification includes at least symptom, position, operation.
The embodiment of the present application provides a kind of computer program product, and the computer program product is non-temporary including being stored in
Calculation procedure on state computer readable storage medium, the computer program include program instruction, when described program instructs quilt
When computer executes, the method that makes the computer execute an any of the above-described text mark.
The present invention be referring to according to the method for the embodiment of the present invention, the process of equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
Although preferred embodiments of the present invention have been described, it is created once a person skilled in the art knows basic
Property concept, then additional changes and modifications may be made to these embodiments.So it includes excellent that the following claims are intended to be interpreted as
It selects embodiment and falls into all change and modification of the scope of the invention.
Obviously, various changes and modifications can be made to the invention without departing from essence of the invention by those skilled in the art
Mind and range.In this way, if these modifications and changes of the present invention belongs to the range of the claims in the present invention and its equivalent technologies
Within, then the invention is also intended to include including these modification and variations.
Claims (10)
1. a kind of construction method in hospital guide's medical terminology library characterized by comprising
Obtain the natural language to hospital guide；
Using text structure model, the determining target text for belonging to identical concept with medical terminology from the natural language；
Using the target text as the corresponding statement of the medical terminology, store to medicine art described in the medical terminology library
In the corresponding statement cluster of language；The corresponding statement cluster of each medical terminology, one of table are stored in the medical terminology library
State multiple and different statements in cluster including a medical terminology.
2. the method as described in claim 1, which is characterized in that before the acquisition is to the natural language of hospital guide, further includes:
Obtain the medical text of training；
Training text associated with medical terminology is determined from the medical text of the training, initial model is inputted, after trained
Obtain the text structure model；
Using the training text as the corresponding statement of the medical terminology, store to medicine art described in the medical terminology library
In the corresponding statement cluster of language.
3. the method as described in claim 1, which is characterized in that further include:
For M statement in the first statement cluster, each statement is split into N number of text unit according to split template, it is described
Split template includes N number of modular unit of different attribute；Wherein N > 1；The first statement cluster is in the medical terminology library
Any of multiple statement clusters；
M*N text unit group is combined into the different statements of K, the K statement belongs to the first statement cluster and each
Statement includes the text unit of N number of different attribute；
The K different statements are stored in the first statement cluster into the medical terminology library.
4. the method as described in claim 1, which is characterized in that each medical terminology classification storage in the medical terminology library is in institute
It states in medical terminology library；
It is described to store into the corresponding statement cluster of medical terminology described in the medical terminology library, comprising:
The target text is classified, and classification storage is in the medical terminology corresponding expression cluster, the classification
Including at least symptom, position, operation.
5. a kind of construction device in hospital guide's medical terminology library characterized by comprising
Acquiring unit, for obtaining the natural language to hospital guide；
Determination unit, it is determining from the natural language to belong to medical terminology with without exception for utilizing text structure model
The target text of thought；
Storage unit, for storing to the medical terminology using the target text as the corresponding statement of the medical terminology
In the corresponding statement cluster of medical terminology described in library；It is poly- that the corresponding statement of each medical terminology is stored in the medical terminology library
Class, one of multiple and different statements stated in cluster including a medical terminology.
6. device as claimed in claim 5, which is characterized in that further include training unit, be used for:
Obtain the medical text of training；
Training text associated with medical terminology is determined from the medical text of the training, initial model is inputted, after trained
Obtain the text structure model；
Using the training text as the corresponding statement of the medical terminology, store to medicine art described in the medical terminology library
In the corresponding statement cluster of language.
7. device as claimed in claim 5, which is characterized in that the storage unit is also used to:
For M statement in the first statement cluster, each statement is split into N number of text unit according to split template, it is described
Split template includes N number of modular unit of different attribute；Wherein N > 1；The first statement cluster is in the medical terminology library
Any of multiple statement clusters；
M*N text unit group is combined into the different statements of K, the K statement belongs to the first statement cluster and each
Statement includes the text unit of N number of different attribute；
The K different statements are stored in the first statement cluster into the medical terminology library.
8. device as claimed in claim 5, which is characterized in that each medical terminology classification storage in the medical terminology library is in institute
It states in medical terminology library；
The storage unit is also used to classify the target text, and classification storage is corresponding in the medical terminology
In expression cluster, the classification includes at least symptom, position, operation.
9. a kind of electronic equipment characterized by comprising
At least one processor；And
The memory being connect at least one described processor communication；Wherein,
The memory is stored with the instruction that can be executed by least one described processor, and described instruction is by described at least one
It manages device to execute, so that at least one described processor is able to carry out any method of claim 1-4.
10. a kind of non-transient computer readable storage medium, which is characterized in that the non-transient computer readable storage medium is deposited
Computer instruction is stored up, the computer instruction is for making the computer perform claim require 1~4 any the method.
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| CN112633005A (en) * | 2020-11-11 | 2021-04-09 | 上海数创医疗科技有限公司 | Electrocardio term semantic matching method |
| WO2021258966A1 (en) * | 2020-06-22 | 2021-12-30 | 中国标准化研究院 | Tuple model-based term management method |
| CN116936058A (en) * | 2023-09-14 | 2023-10-24 | 北京健康有益科技有限公司 | Intelligent diagnosis guiding method and system based on deep learning and knowledge graph |
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| CN112633005A (en) * | 2020-11-11 | 2021-04-09 | 上海数创医疗科技有限公司 | Electrocardio term semantic matching method |
| CN116936058A (en) * | 2023-09-14 | 2023-10-24 | 北京健康有益科技有限公司 | Intelligent diagnosis guiding method and system based on deep learning and knowledge graph |
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