CN105468743B - A kind of intelligent diagnostics Operation encoding search method - Google Patents
A kind of intelligent diagnostics Operation encoding search method Download PDFInfo
- Publication number
- CN105468743B CN105468743B CN201510831116.4A CN201510831116A CN105468743B CN 105468743 B CN105468743 B CN 105468743B CN 201510831116 A CN201510831116 A CN 201510831116A CN 105468743 B CN105468743 B CN 105468743B
- Authority
- CN
- China
- Prior art keywords
- character
- match strength
- search method
- match
- intelligent diagnostics
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Medical Treatment And Welfare Office Work (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
Abstract
Include: step 1 the invention discloses a kind of intelligent diagnostics Operation encoding search method: receiving the code character set of preset entire diagnosis or operation；Step 2: the input operation based on user receives the string content searched；Step 3: all elements in step 1 in character repertoire are looped through based on the received string content of step 2, obtain interim findings set and match strength, step 4: adjust again to match strength: step 5: the temporary information according to match strength set entry is ranked up the code character set of step 1, it is wherein counted as the first sort by, length difference is the second sort by；Step 6: the set of specified quantity carries out selection use to user before return code character set；Step 7: the object set for obtaining user's selection, which merges, generates record, realizes reduction using difficulty, improves retrieval rate, meet the technical effect of international standard.
Description
Technical field
The present invention relates to electronic computer field of information processing more particularly to a kind of intelligent diagnostics Operation encoding retrieval sides
Method.
Background technique
The classification of international disease (operation) is certain features according to disease, and disease classifies according to rule, and with volume
The form of code is the classification of diseases for the international uniform that WHO is formulated come the system indicated, is the standardization of disease (operation) title, lattice
Formula be medical information, hospital information management basis (Taxonomic discussion below for disease name while being suitable for performing the operation
Title).Due to the difference of International Classification of Diseases and clinical disease naming system, so that clinical disease title and International Classification of Diseases
Entry be not one-to-one relationship.Since entry is numerous in two systems, (carried out clinical even for the disease code person of profession
The staff of International Classification of Diseases), disease code (classification) can still encounter many difficulties.And facing for non-coding profession
Bed doctor, then difficulty is bigger.With the development of social security DRGs-based payment system (DRGs) and the reinforcement of Hospital Informatization, accurately into
Row International Classification of Diseases demand is more and more stronger, and for coder, health care worker, accurately carry out international disease point
Class becomes a large hospital problem.
The current common diagnosis coding retrieval scheme used for health care worker is:
(1) it is retrieved by the Pinyin abbreviation, five codes, diagnosis text that diagnose, and retrieval mode is keyword inspection
Rope.
As: it needs to fill in into such as " accompanying gallstones " or " calculus companion if needing coding " K80.1 cholecystitis with cystic calculus "
Cholecystitis " mode retrieve the result set comprising target code.Existing ground improvement project is such as led to by being grouped keyword
Cross " cholelith is scorching " result set of searched targets coding.
Defect:
Even 1, with improved scheme: when there is the content text of non-targeted title in retrieval text, then cannot
Return to correct objective result collection.Such as " calculus is with gallbladder inflammation ", " cholelith inflammation ", " stone gallbladder inflammation ", " lithogenous gallbladder
Corresponding four kinds of character strings of capsulitis " cannot obtain the result set comprising correct " K80.1 cholecystitis with cystic calculus ".
2, the result set returned is excessive: result set excessively increases user in the difficulty for selecting correct respective items, such as
45 results are contained by the result set of " cholelith is scorching ".
3, the result returned cannot embody the correlation of accuracy: in current query and search scheme, sequence is relied solely on
The Pinyin abbreviation or stroke of title, which are abridged, to sort, and the front and back of sequence and the title non-correlation that is retrieved frequently result in correctly
Entry very rearward, increases the difficulty of correct categorizing selection.
4, using difficulty: health care worker is when being retrieved, may in order to allow result as far as possible to include target designation
Keyword as few as possible can be used.Just there is skill requirement in the selection of the keyword to the character string being retrieved, leads to
It often needs doctor to participate in short-term cultivation and improves the ability of sorting code number by long-term use experience, increase using difficult
Degree.
(2) another International Classification of Diseases query and search scheme developed is by increasing in java standard library at present
Non-standard content improves occurrence, generically understands to be exactly the diagnosis name that clinician is directly added to code database.As directly
It is corresponding that " calculous cholecystitis " is added to inquiry library " K80.1 " in, making " calculous cholecystitis " becomes to be queried.
Defect:
1, still using difficult: the diagnosis format criteria of right and wrong of doctor, potential wrong word, space, punctuate, diagnosis length
Degree can all directly influence search result.When this occurs, key search scheme is used again, and problem remains unchanged.
2, lose standard: international disease library is an international standard library originally, and the library being voluntarily added can be standardized each
Kind loses a little meaning.The original design intention of International Classification of Diseases is violated.
3, enforcement difficulty is big: clinical diagnosis entry is various, is to be far longer than a plurality of entry of International Classification of Diseases 20,000, complete
At this work and make to remain a huge task and challenge it is suitable for clinic, take time and effort.
In conclusion present inventor is in realizing the embodiment of the present application during inventive technique scheme, in discovery
Technology is stated at least to have the following technical problems:
In the prior art, existing diagnosis coding search method exist it is big using difficulty, be not able to satisfy international standard, reality
Apply the big technical problem of difficulty.
Summary of the invention
The present invention provides a kind of intelligent diagnostics Operation encoding search methods, solve existing diagnosis coding search method
In the presence of it is big using difficulty, be not able to satisfy the big technical problem of international standard, enforcement difficulty, realize reduction using difficulty, improve
Retrieval rate, meets the technical effect of international standard.
In order to solve the above technical problems, the embodiment of the present application provides a kind of intelligent diagnostics Operation encoding search method, institute
Method is stated for searching certain random character in designated character library, which comprises
Step 1: receiving the code character set of preset entire diagnosis or operation；
Step 2: the input operation based on user receives the string content searched；
Step 3: all elements in step 1 in character repertoire being looped through based on the received string content of step 2, are obtained
Interim findings set and match strength, wherein concrete operations when going through all over individual element are: step I, splitting designated character respectively
The character string of library element and the character string searched, recycle ratio is to the identical number of two groups of characters and counts；Step II, comparison is first
Plain character string and by the length difference of lookup character string；Using the parameter of I acquisition as match strength, and as Corresponding matching strength set
Close the temporary information of item；Wherein, when occur in match strength set entry one or more Match of elemental composition intensity it is consistent when, be based on II
In parameter match strength is adjusted；
Step 4: match strength being adjusted again: step I, ignore counting according to part preset characters to eliminate the word
Accord with the influence to match strength；Step II, the identical repeat character (RPT) in the individual element gone through in step 2 and step 3 time is calculated
Number, eliminates its excessive enhancing match strength generated because repeatedly there is when；III, according to code character set history using time
Number carries out match strength adjustment；Match strength adjustment is carried out according to history access times；
Step 5: the temporary information according to match strength set entry is ranked up the code character set of step 1, wherein
It is counted as the first sort by, length difference is the second sort by；
Step 6: the set of specified quantity carries out selection use to user before return code character set；Return to set refusal
Null set, i.e. user one surely obtain the results set of specified quantity；
Step 7: the object set for obtaining user's selection, which merges, generates record.The object set for obtaining user's selection, which merges, generates note
Record, the sort by as III in step 4.
Further, in step 3: I method is compared with splitting element character string, searches target element in character and set
Even if the variant character of element, object element can also be arranged out, it effectively prevent object element because difference character is without being wrapped
Contained in returning the result in set；In step 3: II method parameter and I method can be significantly when being used cooperatively as secondary matching foundation
Increase the forward sequence probability of object element of user.
Further, it is described when occur in match strength set entry one or more Match of elemental composition intensity it is consistent when, be based on
Presetting method is adjusted match strength, specifically includes:
It is secondary according to the number that diagnosis entry was once used when carrying out the selection of International Classification of Diseases for clinical diagnosis
The more persons of number raise match strength；
For meaningless character in coding schedule being removed, to adjust matching degree in operation or diagnosis.
Further, meaningless character in the removal coding schedule specifically:
When for clinical diagnosis, ignore to "left", "right" is obtained in retrieval title, to adjust matching degree；
When for operation names, ignore to " art " is obtained in retrieval title, to adjust matching degree；
Other are ignored relative to the meaningless character of code database；
When for operation names or diagnosis, the specific punctuation mark in part is removed, such as: comma, branch, question mark etc..Step 4
In: to " art " in the "left", "right" and operation in diagnosis etc., meaningless character is ignored in code database, diagnoses calculating
Or operation each set element in library match strength when, can these spcial character brings of active balance influence.
Further, described match strength to be adjusted based on presetting method, before can be used for results set processing, in processing
And before returning.
Further, the step 4 further includes step IV: the correlation that character sequence can be added in match strength carries out strong
Degree calculates again.As intensity can be changed to 1.5 times by the character string sequentially complied fully with.
Further, when reception is retrieved character, subsidiary one or more restriction parameters can be received as needed, returned
Return corresponding set.
Further, the step 5: code character set of the temporary information of foundation match strength set entry to step 1
It is ranked up, ranking functions can be calculated, and can also be screened and be obtained by database SQL.
Specified result set returns to quantity and can be set according to need of work.It can be significant for being difficult to be retrieved character string
Expand and returns to entry.
This method is applicable not only in international disease (operation) coded system, on other occasions, can be changed and is applicable in
In other character screening systems.
In the set of library, single set includes multiple character groups, and multiple character groups are applied to the intensity of the system simultaneously
Method of completing the square carries out strength matching and carries out comprehensive reference；Such as, disease (operation) code database includes that (1) diagnoses (operation) name, and (2) are compiled
Code, (3) (operation) rank etc. are passed to using character group when considering incoming character and carry out Strength co-mputation, comprehensive strength respectively
It is ranked up, the results set with multi-column data is returned to this.
Incoming character should carry out the removal of repeat character (RPT), and in actual test, the repeat character (RPT) repeatedly occurred can be mentioned strongly
High match strength, this will lead to undesirable ranking results.
As needed, this method is settable " callback method ", can be recorded when result set is selected, the result of return
Collection can according to history access times and again minor sort, with convenient for users to.
When receiving to be retrieved character, subsidiary one or more restriction parameters can be received, as needed to return exactly to
Range of convergence, e.g., in disease code, when searching for neonatal disease code, additional parameter " P " is to be clearly returned only to
P class coding.
On specific workbench, to simplify work step, selectivity receives multiple library set, to realize simultaneously more
The character string that is retrieved is searched in a library.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
Be designed as including: step 1 by intelligent diagnostics Operation encoding search method due to using: reception is preset entirely to examine
Disconnected or operation code character set；Step 2: the input operation based on user receives the string content searched；Step 3:
Loop through all elements in step 1 in character repertoire based on the received string content of step 2, obtain interim findings set and
Match strength, step 4: match strength being adjusted again: step 5: volume of the temporary information of foundation match strength set entry to step 1
Code character set is ranked up, wherein being counted as the first sort by, length difference is the second sort by；Step 6: returning to coding
The set of specified quantity carries out selection use to user before character set；Step 7: the object set for obtaining user's selection, which merges, to be generated
The technical solution of record realizes that refusal " empty result set " returns that is, so that returning the result the characteristic that sequence is attached to accuracy rate, limited
Quantity returns, and user judges without keyword, reduces the classification difficulty of user, so that the accuracy rate of classification is improved, with
Traditional expansion base principle is entirely different, is used in conjunction with multiplicable raising with expansion base and chooses accuracy, this programme is independently of normal
Database (judgement of WHERE condition) retrieval scheme is seemed, this programme is applicable not only to international disease (operation) classification, for individual character
Section or multi-field and meet character variable type relational data (library) screening, it is equally applicable and can reach document received described in
Effect of optimization and accuracy rate are promoted, so, efficiently solve existing diagnosis coding search method exist it is big using difficulty, cannot
Meet the big technical problem of international standard, enforcement difficulty, and then realize reduction using difficulty, improves retrieval rate, it is full
The technical effect of sufficient international standard.
Detailed description of the invention
Attached drawing described herein is used to provide to further understand the embodiment of the present invention, constitutes one of the application
Point, the restriction to the embodiment of the present invention is not constituted, in the accompanying drawings:
Fig. 1 is the flow diagram of intelligent diagnostics Operation encoding search method in the embodiment of the present application.
Specific embodiment
The present invention provides a kind of intelligent diagnostics Operation encoding search methods, solve existing diagnosis coding search method
In the presence of it is big using difficulty, be not able to satisfy the big technical problem of international standard, enforcement difficulty, realize reduction using difficulty, improve
Retrieval rate, meets the technical effect of international standard.
In order to better understand the above technical scheme, in conjunction with appended figures and specific embodiments to upper
Technical solution is stated to be described in detail.
To make the objectives, technical solutions, and advantages of the present invention clearer, below with reference to embodiment and attached drawing, to this
Invention is described in further detail, and exemplary embodiment of the invention and its explanation for explaining only the invention, are not made
For limitation of the invention.
Embodiment 1:
Please refer to Fig. 1:
Example 1: assuming that existing health care worker needs retrieve the diagnosis coding used:
Assuming that character set:
K80.000 accompanying gallstones acute cholecystitis
K80.400 Calculus of bile duct with cholecystitis
K80.101 Gallbladder stone with Chronic Cholecystitis
User wishes to find: " acute cholecystitis merging cholecystolithiasis "
Note: " acute cholecystitis merging cholecystolithiasis " and " accompanying gallstones acute cholecystitis " is the same disease.User
It is " acute cholecystitis merging calculus " by the keyword that its thinking may be retrieved when taking keyword.
Traditional algorithm (pervious algorithm):
It needs to meet the set comprising " acute cholecystitis ", " merging " and " calculus " simultaneously.And there is no any one in gathering
A character includes " merging ", so the results set returned is sky.I.e. user does not have any entry can choose.
This patent method:
K80.000 accompanying gallstones acute cholecystitis
K80.400 Calculus of bile duct with cholecystitis
K80.101 Gallbladder stone with Chronic Cholecystitis
Match strength is calculated with " acute cholecystitis merges calculus " respectively, that is, compares two characters after removing duplicate character
Between the identical number of character.
It obtains:
K80.000 accompanying gallstones acute cholecystitis matching degree: 7(" acute cholecystitis calculus " 7 is identical)；
K80.400 Calculus of bile duct with cholecystitis matching degree: 5(" cholecystitis calculus " 5 is identical)；
K80.101 Gallbladder stone with Chronic Cholecystitis matching degree: 6(" property cholecystitis calculus " 6 is identical)
It is reset according to matching degree；
It obtains:
#1 K80.000 accompanying gallstones acute cholecystitis matching degree: 7；
#2 K80.101 Gallbladder stone with Chronic Cholecystitis matching degree: 6；
#3 K80.400 Calculus of bile duct with cholecystitis matching degree: 5；
Then result set is returned into user, is selected for user.And #1 is then the correct coding that user needs.
Example 2: also assume that existing health care worker needs retrieve the diagnosis coding used:
Assuming that each entry is initialized as 0 time in having gathered.
K80.000 accompanying gallstones acute cholecystitis counts: 0；
K80.400 Calculus of bile duct with cholecystitis counts: 0；
K80.101 Gallbladder stone with Chronic Cholecystitis counts: 0；
User search keyword " cholecystitis merging calculus " and selection " the K80.400 calculus of bile duct from result set
With cholecystitis ".Know selection i.e. after, " K80.400 Calculus of bile duct with cholecystitis " item count is added 1 and is stored in privately owned number
According in library.
K80.000 accompanying gallstones acute cholecystitis counts: 0；
K80.400 Calculus of bile duct with cholecystitis counts: 1；
K80.101 Gallbladder stone with Chronic Cholecystitis counts: 0；
When user retrieves " cholecystitis merging calculus " again, the calculated list of algorithm is:
K80.000 accompanying gallstones acute cholecystitis matching degree: 5 count: 0；
K80.101 Gallbladder stone with Chronic Cholecystitis matching degree: 5 count: 0；
K80.400 Calculus of bile duct with cholecystitis matching degree: 5 count: 1；
It is reset further according to counting:
K80.400 Calculus of bile duct with cholecystitis matching degree: 5 count: 1；
K80.000 accompanying gallstones acute cholecystitis matching degree: 5 count: 0；
K80.101 Gallbladder stone with Chronic Cholecystitis matching degree: 5 count: 0；
User's selection more contents of number are then come into front, facilitate user.
Therefore, it can be seen that the search method in the application realizes drop compared with traditional method from above-mentioned multiple examples
It is low to use difficulty, retrieval rate is improved, international standard is met.
Technical solution in above-mentioned the embodiment of the present application, at least have the following technical effects or advantages:
Be designed as including: step 1 by intelligent diagnostics Operation encoding search method due to using: reception is preset entirely to examine
Disconnected or operation code character set；Step 2: the input operation based on user receives the string content searched；Step 3:
Loop through all elements in step 1 in character repertoire based on the received string content of step 2, obtain interim findings set and
Match strength, step 4: match strength being adjusted again: step 5: volume of the temporary information of foundation match strength set entry to step 1
Code character set is ranked up, wherein being counted as the first sort by, length difference is the second sort by；Step 6: returning to coding
The set of specified quantity carries out selection use to user before character set；Step 7: the object set for obtaining user's selection, which merges, to be generated
The technical solution of record realizes that refusal " empty result set " returns that is, so that returning the result the characteristic that sequence is attached to accuracy rate, limited
Quantity returns, and user judges without keyword, reduces the classification difficulty of user, so that the accuracy rate of classification is improved, with
Traditional expansion base principle is entirely different, is used in conjunction with multiplicable raising with expansion base and chooses accuracy, this programme is independently of normal
Database (judgement of WHERE condition) retrieval scheme is seemed, this programme is applicable not only to international disease (operation) classification, for individual character
Section or multi-field and meet character variable type relational data (library) screening, it is equally applicable and can reach document received described in
Effect of optimization and accuracy rate are promoted, so, efficiently solve existing diagnosis coding search method exist it is big using difficulty, cannot
Meet the big technical problem of international standard, enforcement difficulty, and then realize reduction using difficulty, improves retrieval rate, it is full
The technical effect of sufficient international standard.
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 present invention is also intended to include these modifications and variations.
Claims (8)
1. a kind of intelligent diagnostics Operation encoding search method, which is characterized in that the method in designated character library for searching
Certain random character, which comprises
Step 1: receiving the code character set of preset entire diagnosis or operation；
Step 2: the input operation based on user receives the string content searched；
Step 3: all elements in step 1 in character repertoire being looped through based on the received string content of step 2, are obtained interim
Results set and match strength, wherein concrete operations when going through all over individual element are: designated character library member step I, is split respectively
The character string of element and the character string searched, recycle ratio is to the identical number of two groups of characters and counts；Step II, comparison element word
Symbol goes here and there and by the length difference of lookup character string；Using the count parameter of I acquisition as match strength, and as Corresponding matching strength set
Close the temporary information of item；Wherein, when occur in match strength set entry one or more Match of elemental composition intensity it is consistent when, be based on II
In length difference parameter match strength is adjusted；
Step 4: match strength being adjusted again: step I, ignore counting according to part preset characters to eliminate the character pair
The influence of match strength；Step II, the identical repeat character (RPT) number in the individual element gone through in step 2 and step 3 time is calculated, is disappeared
The excessive enhancing match strength generated except it because repeatedly there is when；III, it is carried out according to code character set history access times
Match strength adjustment；
Step 5: the temporary information according to match strength set entry is ranked up the code character set of step 1, wherein counting
For the first sort by, length difference is the second sort by；
Step 6: the set of specified quantity carries out selection use to user before return code character set；
Step 7: the object set for obtaining user's selection, which merges, generates record.
2. intelligent diagnostics Operation encoding search method according to claim 1, which is characterized in that step I is in step 3 to tear open
Point element character string is compared, and has differences character when searching object element in character and set, and object element also can be by
Arrangement comes out.
3. intelligent diagnostics Operation encoding search method according to claim 2, which is characterized in that described to work as match strength collection
Close occur in item one or more Match of elemental composition intensity it is consistent when, match strength is adjusted based on presetting method, it is specific to wrap
It includes:
When carrying out the selection of International Classification of Diseases for clinical diagnosis, according to the number that diagnosis entry was once used, often
Person raises match strength；
For meaningless character in coding schedule being removed, to adjust matching degree in operation or diagnosis.
4. intelligent diagnostics Operation encoding search method according to claim 3, which is characterized in that in the removal coding schedule
Meaningless character specifically:
When for clinical diagnosis, the "left", "right" in retrieval title is ignored, to adjust matching degree；
When for operation names, " art " in retrieval title is ignored, to adjust matching degree；
When for operation names or diagnosis, the specific punctuation mark in part is removed.
5. intelligent diagnostics Operation encoding search method according to claim 3, which is characterized in that described to be based on presetting method
Match strength is adjusted, can be used for results set processing before, processing in and return before.
6. intelligent diagnostics Operation encoding search method according to claim 1, which is characterized in that the step 4 further includes
Step IV: the correlation that character sequence can be added in match strength carries out intensity and calculates again.
7. intelligent diagnostics Operation encoding search method according to claim 1, which is characterized in that be retrieved character in reception
When, subsidiary one or more restriction parameters can be received as needed, return to corresponding set.
8. intelligent diagnostics Operation encoding search method according to claim 1, which is characterized in that the step 5: foundation
Temporary information with intensity set entry is ranked up the code character set of step 1, and ranking functions can be calculated, can also
It is obtained by database SQL screening.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510831116.4A CN105468743B (en) | 2015-11-25 | 2015-11-25 | A kind of intelligent diagnostics Operation encoding search method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510831116.4A CN105468743B (en) | 2015-11-25 | 2015-11-25 | A kind of intelligent diagnostics Operation encoding search method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105468743A CN105468743A (en) | 2016-04-06 |
| CN105468743B true CN105468743B (en) | 2018-12-28 |
Family
ID=55606444
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510831116.4A Active CN105468743B (en) | 2015-11-25 | 2015-11-25 | A kind of intelligent diagnostics Operation encoding search method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105468743B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107273681B (en) * | 2017-06-09 | 2021-07-20 | 广州慧扬健康科技有限公司 | Intelligent sequencing system for diagnosis input |
| CN107577826B (en) * | 2017-10-25 | 2018-05-15 | 山东众阳软件有限公司 | Classification of diseases coding method and system based on raw diagnostic data |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6097841A (en) * | 1996-05-21 | 2000-08-01 | Hitachi, Ltd. | Apparatus for recognizing input character strings by inference |
| CN101911078A (en) * | 2007-12-28 | 2010-12-08 | 皇家飞利浦电子股份有限公司 | Based on disease probability vector retrieval of similar patient case |
| CN102103623A (en) * | 2010-09-29 | 2011-06-22 | 长沙博为软件技术有限公司 | Cross index identification method for health file sharing platforms |
| CN102184170A (en) * | 2011-06-17 | 2011-09-14 | 成都成电医星数字健康软件有限公司 | Morpheme-level analyzing method for clinical Chinese language |
| CN102880302A (en) * | 2012-07-17 | 2013-01-16 | 重庆优腾信息技术有限公司 | Word identification method, device and system on basis of multi-word continuous input |
| CN104835098A (en) * | 2015-05-15 | 2015-08-12 | 上海翼依信息技术有限公司 | Medical record electronic data identification method and system thereof |
| CN104881463A (en) * | 2015-05-22 | 2015-09-02 | 清华大学深圳研究生院 | Reference medical record search method and device based on structural medical record database |
-
2015
- 2015-11-25 CN CN201510831116.4A patent/CN105468743B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6097841A (en) * | 1996-05-21 | 2000-08-01 | Hitachi, Ltd. | Apparatus for recognizing input character strings by inference |
| CN101911078A (en) * | 2007-12-28 | 2010-12-08 | 皇家飞利浦电子股份有限公司 | Based on disease probability vector retrieval of similar patient case |
| CN102103623A (en) * | 2010-09-29 | 2011-06-22 | 长沙博为软件技术有限公司 | Cross index identification method for health file sharing platforms |
| CN102184170A (en) * | 2011-06-17 | 2011-09-14 | 成都成电医星数字健康软件有限公司 | Morpheme-level analyzing method for clinical Chinese language |
| CN102880302A (en) * | 2012-07-17 | 2013-01-16 | 重庆优腾信息技术有限公司 | Word identification method, device and system on basis of multi-word continuous input |
| CN104835098A (en) * | 2015-05-15 | 2015-08-12 | 上海翼依信息技术有限公司 | Medical record electronic data identification method and system thereof |
| CN104881463A (en) * | 2015-05-22 | 2015-09-02 | 清华大学深圳研究生院 | Reference medical record search method and device based on structural medical record database |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105468743A (en) | 2016-04-06 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101606149B (en) | Apparatus and method for categorical filtering of data | |
| CN105893597B (en) | Similar medical record retrieval method and system | |
| CN101796480B (en) | Integrating external related phrase information into a phrase-based indexing information retrieval system | |
| CN102226900B (en) | Phrase-based searching in an information retrieval system | |
| Ghosh et al. | A tutorial review on Text Mining Algorithms | |
| EP1881427A1 (en) | Database analysis program, database analysis apparatus, and database analysis method | |
| CN104462553B (en) | Question and answer page relevant issues recommended method and device | |
| CN109753516A (en) | A kind of sort method and relevant apparatus of case history search result | |
| CN106844723A (en) | medical knowledge base construction method based on question answering system | |
| US20060248094A1 (en) | Analysis and comparison of portfolios by citation | |
| Sidiropoulos et al. | Gazing at the skyline for star scientists | |
| KR20060048779A (en) | Phrase identification in an information retrieval system | |
| KR20180072167A (en) | System for extracting similar patents and method thereof | |
| CN110569273A (en) | Patent retrieval system and method based on relevance sorting | |
| AU2018204747A1 (en) | A system, method and computer program for preparing data for analysis | |
| CN105468743B (en) | A kind of intelligent diagnostics Operation encoding search method | |
| US9342589B2 (en) | Data classifier system, data classifier method and data classifier program stored on storage medium | |
| CN107862043B (en) | Method and device for searching check information | |
| CN108073641B (en) | Method and device for querying data table | |
| CN118197535A (en) | Antibiotic combined medication recommendation model and application thereof | |
| Gaillard et al. | Adaptation knowledge discovery for cooking using closed itemset extraction | |
| CA2423619A1 (en) | Improved system and method for case-based reasoning | |
| CN104462556A (en) | Method and device for recommending question and answer page related questions | |
| US20100268723A1 (en) | Method of partitioning a search query to gather results beyond a search limit | |
| CN107992524A (en) | A kind of expert info search and field scoring computational methods |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |