CN103020453A - Generation method of structured electronic medical record based on ontology technology - Google Patents
Generation method of structured electronic medical record based on ontology technology Download PDFInfo
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Abstract
The invention provides a generation method of a structured electronic medical record based on an ontology technology, which is characterized by comprising the following steps: performing word segmentation on a medical record text to acquire a word segmentation result document, performing phrase filtering on the word segmentation result document to acquire a keyword lexicon, and constructing a medical record ontology by using an attribute relationship of a keyword class; defining an output characteristic variable format of the medical record ontology, and constructing a medical record feature index; preprocessing a clinical medical record to acquire a clinical medical record word segmentation document; and matching the clinical medical record word segmentation document with the medical record feature index, and outputting the structured electronic medical record. The generation method of the electronic medical record can retain the information in the medical record text more completely and then can better mine the information implied in the medical record.
Description
Technical field
The present invention relates to medical field, relate in particular to a kind of structured electronic patient record generation method based on ontology.
Background technology
Case history is apply in a flexible way in the long-term clinical practice process summary of experience of medical knowledge of doctor, and objective patient's change of illness state and the overall process of diagnosis and treatment of intactly having recorded is materials of good clinic and scientific research.Case history has been stored a large amount of medical informations, excavates the useful informations such as illness characteristics implicit in the case history, diagnosis and treatment scheme, can greatly promote the development of medical technology.The case history that Hospitals at Present uses is the instrument as fast recording mostly, just time and format write is controlled, and does not have complete structured patient record.Medical domain has certain subjectivity and ambiguity simultaneously, and term can be different between the different syndromes, and same symptoms also has different form of presentations, and writing style is separately also arranged between the doctor, has brought great difficulty for the research work of case history.
Case history is natural language text mostly, is non-structured data, is unfavorable for management and the query analysis of case history, need to carry out pre-service to case history, obtains structurized data.The sign that has certain rule after the case history structuring, the case history of same patient's different times can link together according to certain mark, the patient's of identical illness case history can link together according to the illness name, is conducive to the long-period of management of case history, inquiry and the data analysis of colony's case history.Traditional case history disposal route mainly is based on keyword match, in conjunction with the given one group of keyword of illness characteristics, then case history is carried out the keyword coupling by the medical expert, extracts the characteristic information in the case history.Chinese patent CN200810007256.X has proposed a kind of implementation method and device of electronic health record, make up first the element of standard format, be used for inputting standardized diagnosis and treatment data, then make up the chapters and sections of free-format, be used for the diagnosis and treatment information of input natural language form, and embed element, at last, make up the case history that chapters and sections consist of, be used for the typing diagnosis and therapy recording, realized the fusion of electronic health record nature text and structured text.Chinese patent CN201010271575.9 has proposed a kind of electronic health record template construct method of XML-based document, at first from the case history template base of electronic health record template system, select template elements by the user, then by template parser template elements is resolved, generate required electronic health record template by template generator at last, realized that different user revises as required to the case history content, can make revised electronic health record template standardization simultaneously.
Ontology is former to be a branch of philosophy, extends to afterwards the fields such as language, Knowledge Discovery.Body does not still have clear and definite definition, and in the definition of the commonplace approval of artificial intelligence field be: body is the Explicit Form explanation of shared ideas.Intuitively say, body is that certain field is abstracted into relation between some terms and the term.Ontology refers in particular to the relation between the foundation of computer realm utilization Software tool, storage and description concept or term, and the analog logic rule is carried out the technology of reasoning to term relationship.In recent years, increasingly mature along with ontology, medical domain is also increasingly extensive about the research of body, as utilizes body to make up tcm knowledge storehouse, traditional Chinese medicine Integrated Language system etc.
Summary of the invention
The present invention provides a kind of structured electronic patient record generation method based on ontology for solving the problems of the technologies described above, and may further comprise the steps:
A1 carries out participle to the case history text and obtains the word segmentation result file, the word segmentation result file is carried out the phrase screening obtain the keyword dictionary, utilizes keyword generic attribute relation to make up the case history body;
A2 defines the output characteristic variable form of described case history body, makes up the case history aspect indexing;
A3 carries out pre-service with clinical case history, obtains clinical case history participle file;
A4 utilizes the case history aspect indexing that described clinical case history participle file is filtered inquiry, the export structure electronic health record.
Preferably, in described steps A 1, described word segmentation result file comprises special part of speech collection, and described special part of speech collection increases special part of speech keyword by adding user-oriented dictionary, thereby forms special part-of-speech tagging; Described keyword generic attribute relation comprises: the relation of the relation of whole and part, parent and subclass, be equal to relation a kind of of keyword.
Preferably, in described steps A 2, comprise described case history body is carried out the stratification traversal, the attribute that will belong to parent is deployed on the corresponding subclass, to belong to whole attribute is deployed on the corresponding part, to be equal to the keyword connection and carry out meaning of a word expansion, and form the word combination, thereby the output characteristic variable form that described word combination is defined correspondence makes up the case history aspect indexing.
Preferably, in described steps A 3, comprise described clinical case history is carried out cutting according to time point, and merge the clinical case history record of same time point, then described clinical case history is carried out participle, obtain the clinical case history participle file of different time points.
Preferably, in described steps A 4, coupling is filtered described clinical case history participle file and is obtained the phrase file, utilize the case history Ontology Matching to filter described phrase file and obtain semantic word combination, described semantic word combination obtains expanding the word combination through described case history body keyword generic attribute relation inference, output characteristic variable formatted output characteristic variable and variable-value that described expansion word combinations matches is corresponding, described output variable and variable-value are replaced corresponding index in the case history aspect indexing, and the structured electronic patient record of time point mark is pressed in output.
Preferably, filter described phrase file by the special part-of-speech tagging coupling in regular expression and the described word segmentation result file, with comma, space and the newline sign as cutting paragraph and sentence.
Structured electronic patient record generation method based on ontology of the present invention, the case history text is split into the word combination by participle, by obtaining semantic word combination the result of case history body after splitting, utilize the case history aspect indexing that described clinical case history participle file is filtered inquiry, the export structure electronic health record, can better keep medical record information, realize the case history complete structure, have very high accuracy.
Description of drawings
Fig. 1 is that one embodiment of the invention generates case history aspect indexing process flow diagram;
Fig. 2 is that one embodiment of the invention generates the electronic health record process flow diagram.
Embodiment
Come the present invention is described in further detail below in conjunction with accompanying drawing and specific embodiment.
The invention provides a kind of structured electronic patient record generation method based on ontology, may further comprise the steps:
As shown in Figure 1, for one embodiment of the invention generates case history aspect indexing process flow diagram, A1, the case history text is carried out participle obtain the word segmentation result file, the word segmentation result file is carried out the phrase screening obtain the keyword dictionary, utilize keyword generic attribute relation to make up the case history body, described word segmentation result file comprises special part of speech collection, described special part of speech collection increases special part of speech keyword by adding user-oriented dictionary, thereby forms special part-of-speech tagging; Described keyword generic attribute relation comprises: the relation of part and relation, parent and the subclass of integral body, be equal to relation a kind of of keyword;
A2, define the output characteristic variable form of described case history body, make up the case history aspect indexing, be specially described case history body is carried out the stratification traversal, the attribute that will belong to parent is deployed on the corresponding subclass, will belong to whole attribute and be deployed on the corresponding part, will be equal to the keyword connection and carry out meaning of a word expansion, the combination of formation word, thus output characteristic variable form corresponding to described word combination definition made up the case history aspect indexing;
As shown in Figure 2, for one embodiment of the invention generates the electronic health record process flow diagram, A3, clinical case history is carried out pre-service, obtain clinical case history participle file, be specially described clinical case history is carried out cutting according to time point, and merge the clinical case history record of same time point, then described clinical case history is carried out participle, obtain the clinical case history participle file of different time points;
A4, utilize the case history aspect indexing that described clinical case history participle file is filtered inquiry, the export structure electronic health record, be specially by the special part-of-speech tagging coupling in regular expression and the described word segmentation result file and filter described phrase file, with comma, space and newline are as the sign of cutting paragraph and sentence, utilize the case history Ontology Matching to filter described phrase file and obtain semantic word combination, described semantic word combination obtains expanding the word combination through described case history body keyword generic attribute relation inference, output characteristic variable formatted output characteristic variable and variable-value that described expansion word combinations matches is corresponding, described output variable and variable-value are replaced corresponding index in the case history aspect indexing, and the structured electronic patient record of time point mark is pressed in output.
In the above-described embodiments, utilize participle software that the case history text is carried out participle, the case history text here is not limited to the word or file form, also can be other such as the case history material with programming language such as HTML.
In the above-described embodiments, the phrase screening is to finish under the domain expert instructs, and described case history body also makes up under domain expert's guidance, is not limited to keyword generic attribute relation described above, and other class and class, class and genus relation all can.
In the above-described embodiments, the general method of enumerating that adopts when forming the word combination, the case history aspect indexing has been enumerated the set that has made up all characteristic variables that can produce behind the case history body by traversal, and each variable has been worked out sequence number.
In the above-described embodiments, when clinical case history is carried out pre-service, any a clinical case history, different in view of writing style between the doctor, form is difference to some extent, needs first clinical case history to be processed, the Chinese full-shape space of deletion clinical case history paragraph beginning, unified time format write.
In the above-described embodiments, described semantic word combination specifically refers to meet semantic word combination; Described expansion word combination has only added the word combination after the generic attribute mark, has wherein filtered out irrational combination.
Specific embodiment:
The present invention tests the TCM Stroke clinical case history, utilizes Chinese word segmentation software (such as ICTCLAS2012) that the case history text is carried out participle, adopts Protege3.4.8 to make up the TCM Stroke Medical record body of OWL DL linguistic form, and is stored in the database.Then utilize Java language, make up the JavaBean assembly with semantic text processing power, filter word by the special part-of-speech tagging in regular expression and the word segmentation result, with comma, space and the newline sign as cutting paragraph and sentence.Then the java semantic applications class libraries and the Pellet inference machine that provide by Jena read, control and export the case history body.The body level traversal function that provides by Jena obtains the word combination of parent in the case history body, subclass, relation on attributes, to each word combination of obtaining, utilize the Inference interface to carry out one by one rule and add, define every kind of output characteristic variable format corresponding to word combination.Utilize SPARQL that the keyword in the case history body is retrieved, pretreated clinical case history participle file is screened and inquires about, output is with the multidimensional sparse matrix structured patient record of CSV form storage.This than existing method based on the keyword coupling, can keep medical record information based on the structured electronic patient record generation method of ontology better, realizes the structuring of case history, has very high accuracy.
Be understandable that, for the person of ordinary skill of the art, can make other various corresponding changes and distortion by technical conceive according to the present invention, and all these change the protection domain that all should belong to claim of the present invention with distortion.
Claims (6)
1. the structured electronic patient record generation method based on ontology is characterized in that, may further comprise the steps:
A1 carries out participle to the case history text and obtains the word segmentation result file, the word segmentation result file is carried out the phrase screening obtain the keyword dictionary, utilizes keyword generic attribute relation to make up the case history body;
A2 defines the output characteristic variable form of described case history body, makes up the case history aspect indexing;
A3 carries out pre-service with clinical case history, obtains clinical case history participle file;
A4 utilizes the case history aspect indexing that described clinical case history participle file is filtered inquiry, the export structure electronic health record.
2. the structured electronic patient record generation method based on ontology according to claim 1, it is characterized in that: in described steps A 1, described word segmentation result file comprises special part of speech collection, described special part of speech collection increases special part of speech keyword by adding user-oriented dictionary, thereby forms special part-of-speech tagging; Described keyword generic attribute relation comprises: the relation of the relation of whole and part, parent and subclass, be equal to relation a kind of of keyword.
3. the structured electronic patient record generation method based on ontology according to claim 2, it is characterized in that: in described steps A 2, comprise described case history body is carried out the stratification traversal, the attribute that will belong to parent is deployed on the corresponding subclass, to belong to whole attribute is deployed on the corresponding part, to be equal to the keyword connection and carry out meaning of a word expansion, and form the word combination, thereby the output characteristic variable form that described word combination is defined correspondence makes up the case history aspect indexing.
4. according to claim 1 or 3 described structured electronic patient record generation methods based on ontology, it is characterized in that: in described steps A 3, comprise described clinical case history is carried out cutting according to time point, and merge the clinical case history record of same time point, then described clinical case history is carried out participle, obtain the clinical case history participle file of different time points.
5. the structured electronic patient record generation method based on ontology according to claim 4, it is characterized in that: in described steps A 4, coupling is filtered described clinical case history participle file and is obtained the phrase file, utilize the case history Ontology Matching to filter described phrase file and obtain semantic word combination, described semantic word combination obtains expanding the word combination through described case history body keyword generic attribute relation inference, output characteristic variable formatted output characteristic variable and variable-value that described expansion word combinations matches is corresponding, described output variable and variable-value are replaced corresponding index in the case history aspect indexing, and the structured electronic patient record of time point mark is pressed in output.
6. the structured electronic patient record generation method based on ontology according to claim 5, it is characterized in that: filter described phrase file by the special part-of-speech tagging coupling in regular expression and the described word segmentation result file, with comma, space and the newline sign as cutting paragraph and sentence.
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| CN103559675A (en) * | 2013-11-25 | 2014-02-05 | 方正国际软件有限公司 | Medical record entering device and method |
| CN104778268A (en) * | 2015-04-23 | 2015-07-15 | 江苏省现代企业信息化应用支撑软件工程技术研发中心 | Knowledge querying method |
| CN105868526A (en) * | 2016-02-24 | 2016-08-17 | 上海市儿童医院 | Robust tensor maintenance based child community-acquired pneumonia data processing system and method |
| CN106021306A (en) * | 2016-05-05 | 2016-10-12 | 上海交通大学 | Ontology matching based case search system |
| CN106095913A (en) * | 2016-06-08 | 2016-11-09 | 广州同构医疗科技有限公司 | A kind of electronic health record text structure method |
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