CN108319580A - Diagnose word normalizing method and device - Google Patents
Diagnose word normalizing method and device Download PDFInfo
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- CN108319580A CN108319580A CN201710033548.XA CN201710033548A CN108319580A CN 108319580 A CN108319580 A CN 108319580A CN 201710033548 A CN201710033548 A CN 201710033548A CN 108319580 A CN108319580 A CN 108319580A
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Abstract
The invention discloses a kind of diagnosis word normalizing method and devices, wherein this method includes：Structuring dismantling is carried out to raw diagnostic word, obtains the main diagnosis word and attribute word of the raw diagnostic word；Judge whether main diagnosis word and the attribute word of the raw diagnostic word are consistent with the main diagnosis word and attribute word of each standard diagnostics word in a Standard lexicon；In the main diagnosis word and consistent attribute word of the main diagnosis word and attribute word and a standard diagnostics word that judge the raw diagnostic word, the raw diagnostic word is normalized to the standard diagnostics word.The present disclosure reduces the input amounts of manpower, reduce human cost, improve the efficiency of diagnosis word normalizing, while also improving the accuracy rate of raw diagnostic word normalizing.
Description
Technical field
This disclosure relates to which data normalizing technical field, returns in particular to a kind of diagnosis word normalizing method and diagnosis word
One device.
Background technology
Medical data is data of the doctor to generation during patient's diagnosing and treating, including patient's master data, electronics
Case history, diagnosis word, medical image data, medical supervision, economic data, Medical Devices and instrument data etc., centered on patient,
As the main source of medical information.It is significantly good that effective statistics, integration and analysis medical data have medical institutions
Place.
When carrying out normalization to medical data, the normalizing that diagnoses word is a mostly important part.Currently, main logical
It crosses the method that doctor is manually entered and obtains diagnosis word, since the difference of doctor's writing style will appear to there are many same diagnosis
The problem of description, needs to carry out artificial normalizing to the diagnosis word of different descriptions so when carrying out normalization to diagnosis word.It lifts
Example explanation, in Standard lexicon, the describing mode of standard diagnostics word is diabetes B, in the raw diagnostic word that doctor provides
For diabetes B when, system can do the raw diagnostic word that doctor provides automatic normalizing, but the raw diagnostic word provided in doctor
For type 2 diabetes mellitus when, system would not do automatic normalizing to the raw diagnostic word that doctor provides, this be just need manually to doctor
The raw diagnostic word provided does artificial normalizing.
Obviously, in the above-mentioned methods, on the one hand, need to carry out artificial normalizing to the diagnosis word of different descriptions, so that manpower
Input amount it is larger, human cost is higher, inefficiency；On the other hand, when manually carrying out diagnosis word normalizing, due to different people
There may be differences on the understanding to same diagnostic result, therefore, when carrying out normalizing to the same diagnosis word, different people
Different normalizings may be made as a result, reducing the accuracy rate of diagnosis word normalizing.
It should be noted that information disclosed in above-mentioned background technology part is only used for reinforcing the reason to the background of the disclosure
Solution, therefore may include the information not constituted to the prior art known to persons of ordinary skill in the art.
Invention content
The disclosure is designed to provide a kind of diagnosis word normalizing method and diagnosis word normalizing device, and then at least certain
One or more is overcome the problems, such as caused by the limitation and defect of the relevant technologies in degree.
According to one aspect of the disclosure, a kind of diagnosis word normalizing method is provided, which includes：
Structuring dismantling is carried out to raw diagnostic word, obtains the main diagnosis word and attribute word of the raw diagnostic word；
The main diagnosis word and attribute word and the master of each standard diagnostics word in a Standard lexicon for judging the raw diagnostic word are examined
Whether hyphenation is consistent with attribute word；
The main diagnosis word and attribute word and a standard diagnostics word for judging the raw diagnostic word main diagnosis word and
When attribute word is consistent, the raw diagnostic word is normalized to the standard diagnostics word.
In a kind of exemplary embodiment of the disclosure, further include before the progress structuring dismantling to raw diagnostic word：
One Standard lexicon for including multiple standard diagnostics words is provided；And
Structuring dismantling is carried out to each standard diagnostics word in the Standard lexicon, obtains each standard diagnostics word
Main diagnosis word and attribute word.
In a kind of exemplary embodiment of the disclosure, the attribute word of the standard diagnostics word includes multiclass, described in one kind
Attribute word includes at least one description of an attribute.
In a kind of exemplary embodiment of the disclosure, the main diagnosis word for judging the raw diagnostic word and attribute word with
Whether the main diagnosis word of each standard diagnostics word is consistent with attribute word in one Standard lexicon includes：
Judge the main diagnosis word of each standard diagnostics word in the main diagnosis word and a Standard lexicon of the raw diagnostic word
It is whether consistent；
It is examined in the master of the main diagnosis word for judging the raw diagnostic word and in the Standard lexicon one standard diagnostics word
When hyphenation is consistent, the attribute word of the attribute word and the standard diagnostics word in the Standard lexicon of the raw diagnostic word is judged
It is whether consistent.
In a kind of exemplary embodiment of the disclosure, the attribute word of the raw diagnostic word includes multiclass；The judgement institute
State the attribute word of raw diagnostic word and the standard diagnostics word of this in the Standard lexicon attribute word whether include unanimously：
Judge the type of the attribute word of raw diagnostic word；
Judging the attribute word that the standard diagnostics word is similar with the attribute word of raw diagnostic word in the Standard lexicon is
The no attribute word for including the raw diagnostic word.
According to another aspect of the present disclosure, a kind of diagnosis word normalizing device is additionally provided, the diagnosis word normalizing device, packet
It includes：
First dismantling unit, for carrying out structuring dismantling to raw diagnostic word, the master for obtaining the raw diagnostic word examines
Hyphenation and attribute word；
First judging unit, it is each in the main diagnosis word and attribute word and a Standard lexicon for judging the raw diagnostic word
Whether the main diagnosis word of standard diagnostics word is consistent with attribute word；
Normalizing unit, in the main diagnosis word and attribute word and a standard diagnostics word for judging the raw diagnostic word
Main diagnosis word and when consistent attribute word, the raw diagnostic word is normalized to the standard diagnostics word.
In a kind of exemplary embodiment of the disclosure, the diagnosis word normalizing device further includes：
Standard lexicon unit, for providing a Standard lexicon for including multiple standard diagnostics words；And
Second dismantling unit is obtained for carrying out structuring dismantling to each standard diagnostics word in the Standard lexicon
To the main diagnosis word and attribute word of each standard diagnostics word.
In a kind of exemplary embodiment of the disclosure, the attribute word of the standard diagnostics word includes multiclass, described in one kind
Attribute word includes at least one description of an attribute.
In a kind of exemplary embodiment of the disclosure, first judging unit includes：
Second judgment unit, each standard in the main diagnosis word and a Standard lexicon for judging the raw diagnostic word
Whether the main diagnosis word for diagnosing word is consistent；
Third judging unit, described in one in the main diagnosis word and the Standard lexicon for judging the raw diagnostic word
When the main diagnosis word of standard diagnostics word is consistent, the attribute word and the mark in the Standard lexicon that judge the raw diagnostic word
Whether the attribute word of quasi- diagnosis word is consistent.
In a kind of exemplary embodiment of the disclosure, the attribute word of the raw diagnostic word includes multiclass；The third is sentenced
Disconnected unit includes：
4th judging unit, the type of the attribute word for judging raw diagnostic word；
5th judging unit, the attribute for judging the standard diagnostics word and the raw diagnostic word in the Standard lexicon
Whether the similar attribute word of word includes the attribute word of the raw diagnostic word.
The diagnosis word normalizing method that a kind of example embodiment of the disclosure provides is torn open by carrying out structuring to raw diagnostic word
Solution judges the main diagnosis word of the main diagnosis word and attribute word and each standard diagnostics word in Standard lexicon of the raw diagnostic word after dismantling
It is whether consistent with attribute word, the master of word is diagnosed with Standard lexicon Plays in the main diagnosis word and attribute word for judging raw diagnostic word
When diagnosing word and consistent attribute word, raw diagnostic word is normalized to the standard diagnostics word.On the one hand, system is only needed to original
Begin to diagnose word and standard diagnostics word is disassembled, judged, when judging result is consistent, to the automatic normalizing of raw diagnostic word, is not required to
It puts into a large amount of manpower and artificial normalizing is done to the diagnosis word of different descriptions, greatly reduced the input amount of manpower, and then drop
Low human cost, improves the efficiency of raw diagnostic word normalizing；On the other hand, in system to the main diagnosis word of raw diagnostic word
When being judged with attribute word, there is no the differences on understanding, judging result is more accurate, improves raw diagnostic word normalizing
Accuracy rate.
It should be understood that above general description and following detailed description is only exemplary and explanatory, not
The disclosure can be limited.
Description of the drawings
Its example embodiment is described in detail by referring to accompanying drawing, the above and other feature and advantage of the disclosure will become
It is more obvious.It should be evident that the accompanying drawings in the following description is only some embodiments of the present disclosure, for the common skill in this field
For art personnel, without creative efforts, other drawings may also be obtained based on these drawings.In attached drawing
In：
Fig. 1 is a kind of flow chart of diagnosis word normalizing method of the disclosure.
Fig. 2 is a kind of schematic diagram of diagnosis word normalizing method of the disclosure.
Fig. 3 is a kind of block diagram of diagnosis word normalizing device of the disclosure.
Specific implementation mode
Example embodiment is described more fully with reference to the drawings.However, example embodiment can be real in a variety of forms
It applies, and is not understood as limited to embodiment set forth herein；On the contrary, thesing embodiments are provided so that the disclosure will be comprehensively and complete
It is whole, and the design of example embodiment is comprehensively communicated to those skilled in the art.Identical reference numeral indicates in figure
Same or similar part, thus repetition thereof will be omitted.
In addition, described feature, structure or characteristic can be incorporated in one or more implementations in any suitable manner
In example.In the following description, many details are provided to fully understand embodiment of the disclosure to provide.However,
It will be appreciated by persons skilled in the art that can be with technical solution of the disclosure without one in the specific detail or more
It is more, or other methods, constituent element, material, device, step may be used etc..In other cases, it is not shown in detail or describes
Known features, method, apparatus, realization, material or operation are to avoid fuzzy all aspects of this disclosure.
Block diagram shown in attached drawing is only functional entity, not necessarily must be corresponding with physically separate entity.
I.e., it is possible to realize these functional entitys using software form, or these are realized in the module of one or more softwares hardening
A part for functional entity or functional entity, or realized in heterogeneous networks and/or processor device and/or microcontroller device
These functional entitys.
A kind of diagnosis word normalizing method is disclosed in the present exemplary embodiment first.With reference to shown in figure 1, which returns
One method includes the following steps：
Step S110. carries out structuring dismantling to raw diagnostic word, obtains the main diagnosis word and category of the raw diagnostic word
Property word；
Step S120. judge the raw diagnostic word main diagnosis word and attribute word and a Standard lexicon in each standard diagnostics
Whether the main diagnosis word of word is consistent with attribute word；
Masters of the step S130. in the main diagnosis word and attribute word and a standard diagnostics word that judge the raw diagnostic word
When diagnosing word and consistent attribute word, the raw diagnostic word is normalized to the standard diagnostics word.
According to the diagnosis word normalizing method in this example embodiment, on the one hand, system is only needed to raw diagnostic word and mark
Quasi- diagnosis word is disassembled, is judged, when judging result is consistent, to the automatic normalizing of raw diagnostic word, need not put into a large amount of
Manpower does artificial normalizing to the diagnosis word of different descriptions, greatly reduced the input amount of manpower, thereby reduces human cost,
Improve the efficiency of raw diagnostic word normalizing；On the other hand, the main diagnosis word and attribute word of raw diagnostic word are carried out in system
When judgement, there is no the differences on understanding, judging result is more accurate, improves the accuracy rate of raw diagnostic word normalizing.
The diagnosis word normalizing method in this example embodiment is described further next, with reference to Fig. 1 and Fig. 2.
In step s 110, structuring dismantling is carried out to raw diagnostic word, obtains the main diagnosis word of the raw diagnostic word
With attribute word.
In this exemplary embodiment, main diagnosis word refers to
The descriptor of core illness in some diagnosis word, for example, the main diagnosis word in diabetes B is glycosuria
Disease, right side distal ureteral calculi are calculus with the main diagnosis word in obstruction.Further, described that raw diagnostic word is tied
Further include before structureization dismantling：One Standard lexicon for including multiple standard diagnostics words is provided；And to the Standard lexicon
In each standard diagnostics word carry out structuring dismantling, obtain the main diagnosis word and attribute word of each standard diagnostics word.
The attribute word of standard diagnostics word described above includes multiclass, includes a variety of of an attribute per a kind of attribute word
Description.For example, the type of attribute word may include：Orientation, the main region of anatomy, the secondary region of anatomy, parting, genetic alteration,
By stages, pathology, degree, complication, state etc..It is described further so that right side distal ureteral calculi is with obstruction as an example, to the right side
Side distal ureteral calculi carries out structuring dismantling with obstruction, wherein main diagnosis word is calculus, attribute word includes right side, urine output
Pipe, hypomere, obstruction.Classification wherein included by attribute word has：Orientation (right side), the main region of anatomy (ureter), secondary dissection
Position (hypomere), complication (obstruction).Refer to a kind of classification per a variety of descriptions that a kind of attribute word includes an attribute
Attribute word includes a variety of describing modes of the attribute word.Such as the main diagnosis word in diabetes B is diabetes, attribute word is
The classification of 2 types, 2 type of attribute word is parting, and the describing mode of 2 type of attribute word wherein in parting classification may include：2 types, II
Type etc..
In the step s 120, judge the raw diagnostic word main diagnosis word and attribute word and a Standard lexicon in each standard
Whether the main diagnosis word for diagnosing word is consistent with attribute word；
In this exemplary embodiment, the main diagnosis word for judging the raw diagnostic word and attribute word and a Standard lexicon
In the main diagnosis word of each standard diagnostics word whether consistent with attribute word include：Judge the main diagnosis word and one of the raw diagnostic word
Whether the main diagnosis word of each standard diagnostics word is consistent in the Standard lexicon；The main diagnosis word that judges the raw diagnostic word with
When the main diagnosis word of a standard diagnostics word is consistent in the Standard lexicon, attribute word and the institute of the raw diagnostic word are judged
Whether the attribute word for stating the standard diagnostics word of this in Standard lexicon is consistent.For example, when doctor inputs diabetes B,
First diabetes B is disassembled, main diagnosis word is diabetes, and attribute word is 2 types.First have to judge the mark in Standard lexicon
Whether there is the main diagnosis word consistent with diabetes in the main diagnosis word of quasi- diagnosis word, if judging the standard diagnostics in Standard lexicon
When having the main diagnosis word consistent with diabetes in the main diagnosis word of word, then judge standard diagnostics word in standard diagnostics vocabulary
Whether with 2 types consistent attribute word is had in attribute word.
Further, the attribute word of the raw diagnostic word includes multiclass.For example, the attribute word type of raw diagnostic word can
To include：Orientation, the main region of anatomy, the secondary region of anatomy, parting, genetic alteration, by stages, pathology, degree, complication, shape
State etc..It is described to judge that the attribute word of the raw diagnostic word and the attribute word of the standard diagnostics word of this in the Standard lexicon are
It is no to include unanimously：Judge the type of the attribute word of raw diagnostic word；Judge in the Standard lexicon standard diagnostics word with it is described
Whether the similar attribute word of the attribute word of raw diagnostic word includes the attribute word of the raw diagnostic word.In this example embodiment
In, when the attribute word to raw diagnostic word judges, first the classification of the attribute word of raw diagnostic word is judged, is connect down
It is consistent with the attribute word of raw diagnostic word to be judged whether there is in the attribute word of the same class standard diagnostics word in Standard lexicon
Standard diagnostics word attribute word.For example, when the attribute word to diabetes B makes a decision, the class of 2 type of attribute word is first judged
Not.The classification that 2 type of attribute word is obtained after judging belongs to parting, and then classification is that the standard of parting is examined in Standard lexicon
The attribute word of the standard diagnostics word consistent with 2 types is judged whether there is in the attribute word of hyphenation.
In the above-mentioned methods, it is thus only necessary to raw diagnostic word is subjected to structuring dismantling, judged respectively original after dismantling
Diagnose word main diagnosis word and attribute word whether with the main diagnosis word and attribute word of the standard diagnostics word in Standard lexicon whether one
It causes, avoids and different describe of same diagnosis word is caused that a large amount of manpower is needed to do above-mentioned diagnosis word due to different doctors
The problem of artificial normalizing, greatly reduced the input amount of manpower, thereby reduce human cost, improves raw diagnostic word and returns
One efficiency.
In step s 130, in the main diagnosis word and attribute word and a standard diagnostics word for judging the raw diagnostic word
Main diagnosis word and when consistent attribute word, the raw diagnostic word is normalized to the standard diagnostics word.
In this exemplary embodiment, in the main diagnosis word for judging raw diagnostic word and the standard diagnostics word in Standard lexicon
After main diagnosis word is consistent, the attribute word and the attribute word of the Standard lexicon in Standard lexicon for judging raw diagnostic word respectively are uniform
When cause, system carries out automatic normalizing to the raw diagnostic word.For example, when doctor inputs essential hypertension, first to original
Essential hypertension is disassembled, wherein main diagnosis word is hypertension, attribute word is primary.First, the mark in Standard lexicon
The word consistent with hypertension is judged whether there is in the main diagnosis word of quasi- diagnosis word；Next, the master for diagnosing word in criterion examines
When having the word consistent with hypertension in hyphenation, judged whether there is in the attribute word of the standard diagnostics word in Standard lexicon with it is primary
The consistent word of property；Next, judge there be the word consistent with primary in the attribute word of the standard diagnostics word in Standard lexicon
When, system will carry out automatic normalizing to essential hypertension.In the above method, it is examined in the master to raw diagnostic word due to system
When hyphenation and attribute word are judged, there is no the differences on understanding, judging result is more accurate, improves raw diagnostic word and returns
One accuracy rate.
In addition, above-mentioned attached drawing is only the schematic theory of the processing included by method according to an exemplary embodiment of the present invention
It is bright, rather than limit purpose.It can be readily appreciated that the time that above-mentioned processing shown in the drawings did not indicated or limited these processing is suitable
Sequence.In addition, being also easy to understand, these processing for example can be executed either synchronously or asynchronously in multiple modules.
In an exemplary embodiment of the disclosure, a kind of diagnosis word normalizing device is additionally provided, with reference to shown in Fig. 3, this is examined
Hyphenation normalizing device 200 may include:First dismantling unit 210, the first judging unit 220, normalizing unit 230.Wherein：
First dismantling unit 210 can be used for carrying out structuring dismantling to raw diagnostic word, obtain the raw diagnostic word
Main diagnosis word and attribute word；
First judging unit 220 can be used for judging the main diagnosis word and attribute word and a standard words of the raw diagnostic word
Whether the main diagnosis word of each standard diagnostics word is consistent with attribute word in table；
Normalizing unit 230 can be used in the main diagnosis word and attribute word that judge the raw diagnostic word and a standard
When diagnosing the main diagnosis word and consistent attribute word of word, the raw diagnostic word is normalized to the standard diagnostics word.
In a kind of exemplary embodiment of the disclosure, the diagnosis word normalizing device 200 further includes：
Standard lexicon unit may be used to provide a Standard lexicon for including multiple standard diagnostics words；And
Second dismantling unit can be used for carrying out structuring dismantling to each standard diagnostics word in the Standard lexicon,
Obtain the main diagnosis word and attribute word of each standard diagnostics word.
In a kind of exemplary embodiment of the disclosure, the attribute word of the standard diagnostics word includes multiclass, described in one kind
Attribute word includes at least one description of an attribute.
In a kind of exemplary embodiment of the disclosure, first judging unit 220 includes：
Second judgment unit can be used for judging each in the main diagnosis word and a Standard lexicon of the raw diagnostic word
Whether the main diagnosis word of standard diagnostics word is consistent；
Third judging unit can be used in the main diagnosis word for judging the raw diagnostic word and in the Standard lexicon one
The attribute word for judging the raw diagnostic word when the main diagnosis word of the standard diagnostics word is consistent and the institute in the Standard lexicon
Whether the attribute word for stating standard diagnostics word is consistent.
In a kind of exemplary embodiment of the disclosure, the attribute word of the raw diagnostic word includes multiclass；The third is sentenced
Disconnected unit includes：
4th judging unit can be used for judging the type of the attribute word of raw diagnostic word；
5th judging unit can be used for judging the standard diagnostics word and the raw diagnostic word in the Standard lexicon
Whether the similar attribute word of attribute word includes the attribute word of the raw diagnostic word.
Respectively the detail of diagnosis word normalizing device unit carries out in corresponding diagnosis word normalizing method among the above
Detailed description, therefore details are not described herein again.
It should be noted that although being referred to several modules or list for acting the equipment executed in above-detailed
Member, but this division is not enforceable.In fact, according to embodiment of the present disclosure, it is above-described two or more
The feature and function of module either unit can embody in a module or unit.Conversely, an above-described mould
Either the feature and function of unit can be further divided into and embodied by multiple modules or unit block.
Through the above description of the embodiments, those skilled in the art is it can be readily appreciated that example described herein is implemented
Mode can also be realized by software realization in such a way that software is in conjunction with necessary hardware.Therefore, according to the present invention
The technical solution of embodiment can be expressed in the form of software products, the software product can be stored in one it is non-volatile
Property storage medium (can be CD-ROM, USB flash disk, mobile hard disk etc.) in or network on, including some instructions are so that a calculating
Equipment (can be personal computer, server, electronic equipment or network equipment etc.) is executed according to embodiment of the present invention
Method.
Those skilled in the art after considering the specification and implementing the invention disclosed here, will readily occur to its of the disclosure
Its embodiment.This application is intended to cover any variations, uses, or adaptations of the disclosure, these modifications, purposes or
Adaptive change follow the general principles of this disclosure and include the undocumented common knowledge in the art of the disclosure or
Conventional techniques.The description and examples are only to be considered as illustrative, and the true scope and spirit of the disclosure are by claim
It points out.
It should be understood that the present disclosure is not limited to the precise structures that have been described above and shown in the drawings, and
And various modifications and changes may be made without departing from the scope thereof.The scope of the present disclosure is only limited by the attached claims.
Claims (10)
1. a kind of diagnosis word normalizing method, which is characterized in that including：
Structuring dismantling is carried out to raw diagnostic word, obtains the main diagnosis word and attribute word of the raw diagnostic word；
Judge the main diagnosis word of the raw diagnostic word and the main diagnosis word of each standard diagnostics word in attribute word and a Standard lexicon
It is whether consistent with attribute word；
In the main diagnosis word and attribute of the main diagnosis word and attribute word and a standard diagnostics word that judge the raw diagnostic word
When word is consistent, the raw diagnostic word is normalized to the standard diagnostics word.
2. diagnosis word normalizing method according to claim 1, which is characterized in that described to carry out structuring to raw diagnostic word
Further include before dismantling：
One Standard lexicon for including multiple standard diagnostics words is provided；And
Structuring dismantling is carried out to each standard diagnostics word in the Standard lexicon, obtains the master of each standard diagnostics word
Diagnose word and attribute word.
3. diagnosis word normalizing method according to claim 2, which is characterized in that the attribute word of the standard diagnostics word includes
Multiclass includes at least one description of an attribute per a kind of attribute word.
4. diagnosis word normalizing method according to claim 3, which is characterized in that the master for judging the raw diagnostic word
The main diagnosis word and attribute word of diagnosis word and attribute word and each standard diagnostics word in a Standard lexicon whether include unanimously：
Judge each standard diagnostics word in the main diagnosis word and a Standard lexicon of the raw diagnostic word main diagnosis word whether
Unanimously；
In the main diagnosis word of the main diagnosis word for judging the raw diagnostic word and a standard diagnostics word in the Standard lexicon
When consistent, judge the attribute word of the raw diagnostic word and the standard diagnostics word in the Standard lexicon attribute word whether
Unanimously.
5. diagnosis word normalizing method according to claim 4, which is characterized in that the attribute word of the raw diagnostic word includes
Multiclass；It is described to judge that the attribute word of the raw diagnostic word and the attribute word of the standard diagnostics word of this in the Standard lexicon are
It is no to include unanimously：
Judge the type of the attribute word of raw diagnostic word；
Judge whether the attribute word that the standard diagnostics word is similar with the attribute word of raw diagnostic word in the Standard lexicon wraps
Include the attribute word of the raw diagnostic word.
6. a kind of diagnosis word normalizing device, which is characterized in that including：
First dismantling unit obtains the main diagnosis word of the raw diagnostic word for carrying out structuring dismantling to raw diagnostic word
With attribute word；
First judging unit, each standard in the main diagnosis word and attribute word and a Standard lexicon for judging the raw diagnostic word
Whether the main diagnosis word for diagnosing word is consistent with attribute word；
Normalizing unit, for the master in the main diagnosis word and attribute word and a standard diagnostics word that judge the raw diagnostic word
When diagnosing word and consistent attribute word, the raw diagnostic word is normalized to the standard diagnostics word.
7. diagnosis word normalizing device according to claim 6, which is characterized in that the diagnosis word normalizing device further includes：
Standard lexicon unit, for providing a Standard lexicon for including multiple standard diagnostics words；And
Second dismantling unit obtains each for carrying out structuring dismantling to each standard diagnostics word in the Standard lexicon
The main diagnosis word and attribute word of the standard diagnostics word.
8. diagnosis word normalizing device according to claim 7, which is characterized in that the attribute word of the standard diagnostics word includes
Multiclass includes at least one description of an attribute per a kind of attribute word.
9. diagnosis word normalizing device according to claim 8, which is characterized in that first judging unit includes：
Second judgment unit, each standard diagnostics in the main diagnosis word and a Standard lexicon for judging the raw diagnostic word
Whether the main diagnosis word of word is consistent；
Third judging unit, in the main diagnosis word for judging the raw diagnostic word and a standard in the Standard lexicon
When the main diagnosis word of diagnosis word is consistent, judge that the attribute word of the raw diagnostic word is examined with the standard of this in the Standard lexicon
Whether the attribute word of hyphenation is consistent.
10. diagnosis word normalizing device according to claim 9, which is characterized in that the attribute word packet of the raw diagnostic word
Include multiclass；The third judging unit includes：
4th judging unit, the type of the attribute word for judging raw diagnostic word；
5th judging unit, the attribute word for judging the standard diagnostics word and the raw diagnostic word in the Standard lexicon are same
Whether the attribute word of class includes the attribute word of the raw diagnostic word.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109597989A (en) * | 2018-11-14 | 2019-04-09 | 金色熊猫有限公司 | Diagnose word normalizing method and device, storage medium, electronic equipment |
| CN111859942A (en) * | 2020-07-02 | 2020-10-30 | 上海森亿医疗科技有限公司 | Medical name normalization method and device, storage medium and terminal |
| CN114822865A (en) * | 2022-06-27 | 2022-07-29 | 天津幸福生命科技有限公司 | Diagnostic data identification method and device, electronic equipment and storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109597989A (en) * | 2018-11-14 | 2019-04-09 | 金色熊猫有限公司 | Diagnose word normalizing method and device, storage medium, electronic equipment |
| CN111859942A (en) * | 2020-07-02 | 2020-10-30 | 上海森亿医疗科技有限公司 | Medical name normalization method and device, storage medium and terminal |
| CN111859942B (en) * | 2020-07-02 | 2021-07-13 | 上海森亿医疗科技有限公司 | Medical name normalization method and device, storage medium and terminal |
| CN114822865A (en) * | 2022-06-27 | 2022-07-29 | 天津幸福生命科技有限公司 | Diagnostic data identification method and device, electronic equipment and storage medium |
| CN114822865B (en) * | 2022-06-27 | 2022-11-11 | 天津幸福生命科技有限公司 | Diagnostic data identification method and device, electronic equipment and storage medium |
Also Published As
| Publication number | Publication date |
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| CN115293155A (en) | 2022-11-04 |
| CN108319580B (en) | 2022-08-26 |
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