CN105468743A - Intelligent diagnosis operation code retrieval method - Google Patents

Intelligent diagnosis operation code retrieval method Download PDF

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CN105468743A
CN105468743A CN201510831116.4A CN201510831116A CN105468743A CN 105468743 A CN105468743 A CN 105468743A CN 201510831116 A CN201510831116 A CN 201510831116A CN 105468743 A CN105468743 A CN 105468743A
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character
match strength
match
diagnosis
search method
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CN105468743B (en
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钟岑
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/903Querying
    • G06F16/90335Query processing
    • G06F16/90344Query processing by using string matching techniques

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Abstract

The invention discloses an intelligent diagnosis operation code retrieval method comprising: step 1, receiving a preset code character set of a whole diagnosis or operation; step 2, based on an input operation of a user, receiving character string content which is searched for; step 3, based on the character string content received in step 2, traversing all elements in a character repertoire in step 1, and obtaining a temporary result set and match strength; step 4, adjusting the match strength again; step 5, based on temporary information of a match strength set item, sequencing the code character set in step 1, wherein counting is taken as a first sequencing basis, and length difference is taken as a second sequencing basis; step 6, returning a specified quantity set before the code character set to a user for selection and use; step 7, acquiring a goal set selected by the user and generating a record, thereby realizing technical effects of reducing the difficulty in use, improving the retrieval accuracy rate, and meeting international standards.

Description

A kind of intelligent diagnostics Operation encoding search method
Technical field
The present invention relates to robot calculator field of information processing, particularly relate to a kind of intelligent diagnostics Operation encoding search method.
Background technology
International disease (operation) classification is some feature according to disease, according to rule, disease is classified, and by the system that represents of form of coding, to be the classification of diseases of international uniform that WHO formulates, to be the standardization of disease (operation) title, format be medical information, the basis of hospital information management (Taxonomic discussion below for disease name is applicable to operation names simultaneously).Different due to International Classification of Diseases and clinical disease naming system, make the entry of clinical disease title and International Classification of Diseases not man-to-man relation.Because in two systems, entry is numerous, even if for the disease code person (carrying out the staff of clinical International Classification of Diseases) of specialty, disease code (classification) still can run into a lot of difficulty.And for the clinician of non-coding specialty, then difficulty is larger.Along with the development of social security DRGs-based payment system (DRGs) and the reinforcement of Hospital Informatization, accurately carry out International Classification of Diseases demand more and more stronger, and for coder, health care worker, carry out International Classification of Diseases exactly and become a large hospital difficult problem.
The diagnosis coding retrieval scheme that Gong health care worker common at present uses is:
(1) retrieved by the Pinyin abbreviation of diagnosis, five codes, diagnosis words, and retrieval mode is key search.
As: need coding " K80.1 cholecystitis with cystic calculus " then need to fill in into such as " accompanying gallstones " or " calculus companion cholecystitis " mode retrieve the result set comprising target code.Having there is ground improvement project is by a point set of keyword, as passed through " cholelith is scorching " result set of searched targets coding.
Defect:
Even 1 by the scheme after improving: when retrieve in word there is the content word of non-targeted title time, then can not return correct objective result collection.As " calculus companion companion gallbladder inflammation ", " cholelith inflammation ", " stone courage inflammation ", four kinds of character strings of the correspondence of " calculous cholecystitis ", can not obtain the result set comprising correct " K80.1 cholecystitis with cystic calculus ".
2, the result set returned is too much: result set too much increases user in the difficulty selecting correct respective items, as contained 45 results by the result set of " cholelith is scorching ".
3, the result returned can not embody the correlativity of accuracy: in current query and search scheme, sequence only relies on Pinyin abbreviation or the stroke abbreviation sequence of title, the front and back of sequence and the title non-correlation that is retrieved, usually cause correct entry very rearward, add the difficulty of correct categorizing selection.
4, difficulty is used: health care worker, when retrieving, in order to allow result comprise target designation as far as possible, may adopt the least possible key word.Just there is skill set requirements in the selection of the key word to the character string be retrieved, usually needed doctor to participate in short-term cultivation and rely on long-term use experience to improve the ability of sorting code number, adding use difficulty.
(2) the another kind of International Classification of Diseases query and search scheme developed improves occurrence by the non-standard content increased in java standard library at present, and generically understanding is exactly the diagnosis name adding clinician directly to code database.As directly will " calculous cholecystitis " add inquiry storehouse corresponding " K80.1 " and in, make that " calculous cholecystitis " becomes and can be queried.
Defect:
1, still difficulty is used: the diagnosis form criteria of right and wrong of doctor, potential wrongly written or mispronounced characters, space, punctuate, diagnosis length all directly can have influence on result for retrieval.When this occurs, use key search scheme again, problem still.
2, lose standard: international disease storehouse is an international standard storehouse originally, the storehouse added voluntarily can be standardizedly variously lose meaning a little.Namely the design original intention of International Classification of Diseases has been run counter to.
3, implement difficulty large: clinical diagnosis entry is various, is the entry being far longer than International Classification of Diseases more than 20,000, complete this work and make it be applicable to clinically remain a huge task and challenge, taking time and effort.
In sum, present inventor, in the process realizing invention technical scheme in the embodiment of the present application, finds that above-mentioned technology at least exists following technical matters:
In the prior art, existing diagnosis coding search method exist use difficulty large, international standard can not be met, implement the large technical matters of difficulty.
Summary of the invention
The invention provides a kind of intelligent diagnostics Operation encoding search method, solve existing diagnosis coding search method exist use difficulty large, international standard can not be met, implement the large technical matters of difficulty, achieve to reduce and use difficulty, improve retrieval rate, meet the technique effect of international standard.
For solving the problems of the technologies described above, the embodiment of the present application provides a kind of intelligent diagnostics Operation encoding search method, and described method is used for searching certain random character in designated character storehouse, and described method comprises:
Step 1: the coded character set receiving whole diagnosis or the operation preset;
Step 2: the input operation based on user receives by the string content searched;
Step 3: based on all elements in character repertoire in the string content searching loop step 1 that step 2 receives, obtain interim findings set and match strength, wherein, go through and all over concrete operations during individual element be: step I, split respectively designated character storehouse element character string and by the character string of searching, recycle ratio is to the identical number of two groups of characters and count; Step II, comparison element character string and searched the length difference of character string; The parameter that I is obtained as match strength, and as the temporary information of Corresponding matching intensity set entry; Wherein, when occurring in match strength set entry that one or more Match of elemental composition intensity is consistent, based on the parameter in II, match strength is adjusted;
Step 4: adjust again match strength: step I, basis ignore counting to eliminate the impact of this character on match strength to part preset characters; Identical repeat character (RPT) number in the individual element to go through in Step II, calculation procedure 2 and step 3 time, the excessive enhancing match strength produced when eliminating it because repeatedly occurring; III, carry out match strength adjustment according to coded character set history access times; Match strength adjustment is carried out according to history access times;
Step 5: the coded character set of temporary information to step 1 according to match strength set entry is sorted, and be wherein counted as the first sort by, length difference is the second sort by;
Step 6: before returning coded character set, the set of specified quantity carries out choice for use to user; Return the null set of set refusal, namely user one obtains the results set of specified quantity surely;
Step 7: obtain the object set merging generation record that user selects.Obtain the object set merging generation record that user selects, as the sort by of III in step 4.
Further, in step 3: I method compares to split element character string, even if search character and the variant character of object element in set, object element also can be arranged out, effectively prevents object element not to be contained in because of difference character and returns results in set; In step 3: II method parameter and I method with the use of as secondary mate foundation time can the forward sequence probability of object element of adding users greatly.
Further, described when occurring in match strength set entry that one or more Match of elemental composition intensity is consistent, based on presetting method, match strength is adjusted, specifically comprise:
When carrying out the selection of International Classification of Diseases for clinical diagnosis, according to diagnosis entry by the number of times once used, person raises match strength often;
For in operation or diagnosis, remove insignificant character in coding schedule, to adjust matching degree.
Further, in described removal coding schedule, insignificant character is specially:
During for clinical diagnosis, ignore obtaining "left", "right" in retrieval title, to adjust matching degree;
During for operation names, ignore obtaining " art " in retrieval title, to adjust matching degree;
Other are ignored relative to the insignificant character of code database;
During for operation names or diagnosis, removal unit divides specific punctuation mark, as: comma, branch, question mark etc.In step 4: the meaningless character in code database such as " art " in the "left", "right" in diagnosis and operation is ignored, when calculating the match strength of each set element of diagnosis or operation storehouse, can the impact that brings of these special characters of active balance.
Further, describedly based on presetting method, match strength to be adjusted, before can be used for results set process, in process and before returning.
Further, described step 4 also comprises step IV: the correlativity that match strength can add character sequence is carried out intensity and calculated.Intensity can be changed to 1.5 times by the character string met completely as order.
Further, when reception is retrieved character, subsidiary one or more restriction parameters can be accepted as required, return corresponding set.
Further, described step 5: the coded character set of temporary information to step 1 according to match strength set entry is sorted, and ranking functions can calculate, also can be screened by database SQL and draw.
The result set of specifying returns quantity and can set according to need of work.Significantly can expand for the character string that is difficult to be retrieved and return entry.
This method is not only applicable in international disease (operation) coded system, on other occasions, can change and be applicable in other character screening systems.
In the set of storehouse, single set comprises multiple character group, and the strength matching method multiple character group being applied simultaneously this system is carried out strength matching and carries out comprehensive reference; As, disease (operation) code database comprises (1) diagnosis (operation) name, (2) encode, (3) (operation) rank etc., character group is adopted to import into and carry out Strength co-mputation respectively when considering to import character into, comprehensive strength sorts, and returns the results set with multi-column data with this.
Import the removal that character should carry out repeat character (RPT) into, in actual test, the repeat character (RPT) repeatedly occurred can improve match strength strongly, and this can cause undesirable ranking results.
As required, this method can be arranged " callback method ", can carry out record when result set is selected, the result set returned can according to history access times minor sort again, with person easy to use.
When accepting to be retrieved character, can accept subsidiary one or more restriction parameters as required, accurately to return range of convergence, e.g., in disease code, when searching for neonatal disease code, additional parameter " P " only returns P class coding with clear and definite.
On specific workbench, for simplifying job step, selectivity accepts the set of multiple storehouse, to realize searching the character string that is retrieved in multiple storehouse simultaneously.
The one or more technical schemes provided in the embodiment of the present application, at least have following technique effect or advantage:
Owing to have employed, intelligent diagnostics Operation encoding search method is designed to comprise: step 1: the coded character set receiving whole diagnosis or the operation preset, step 2: the input operation based on user receives by the string content searched, step 3: based on all elements in character repertoire in the string content searching loop step 1 that step 2 receives, obtain interim findings set and match strength, step 4: match strength is adjusted again: step 5: the coded character set of temporary information to step 1 according to match strength set entry is sorted, wherein be counted as the first sort by, length difference is the second sort by, step 6: before returning coded character set, the set of specified quantity carries out choice for use to user, step 7: the technical scheme obtaining the object set merging generation record that user selects, namely make to return results the characteristic that order attaches accuracy rate, realize refusal " empty result set " to return, limited quantity returns, and user judges without the need to key word, reduce the classification difficulty of user, thus improve the accuracy rate of classification, completely different from traditional expansion base principle, multiplicable raising is jointly used to choose accuracy with expansion base, this programme obtains database (WHERE condition judgment) retrieval scheme independent of common, this programme is not only applicable to international disease (operation) classification, the screening of the relational data (storehouse) of character variable type meets for individual character section or multi-field, be suitable for and the effect of optimization and accuracy rate lifting that describe in document received can be reached equally, so, efficiently solving the existence of existing diagnosis coding search method uses difficulty large, international standard can not be met, implement the technical matters that difficulty is large, and then achieve reduction use difficulty, improve retrieval rate, meet the technique effect of international standard.
Accompanying drawing explanation
Accompanying drawing described herein is used to provide the further understanding to the embodiment of the present invention, forms a application's part, does not form the restriction to the embodiment of the present invention, in the accompanying drawings:
Fig. 1 is the schematic flow sheet of intelligent diagnostics Operation encoding search method in the embodiment of the present application.
Embodiment
The invention provides a kind of intelligent diagnostics Operation encoding search method, solve existing diagnosis coding search method exist use difficulty large, international standard can not be met, implement the large technical matters of difficulty, achieve to reduce and use difficulty, improve retrieval rate, meet the technique effect of international standard.
In order to better understand technique scheme, below in conjunction with Figure of description and concrete embodiment, technique scheme is described in detail.
Clearly understand for making the object, technical solutions and advantages of the present invention, below in conjunction with embodiment and accompanying drawing, the present invention is described in further detail, and exemplary embodiment of the present invention and explanation thereof are only for explaining the present invention, not as a limitation of the invention.
Embodiment 1:
Please refer to Fig. 1:
Example 1: suppose that existing health care worker needs the diagnosis coding to using to retrieve:
Suppose 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 " are same diseases.When user gets key word, the key word may retrieved by its thinking is " acute cholecystitis merging calculus ".
Traditional algorithm (algorithm in the past):
Need to meet the set comprising " acute cholecystitis ", " merging " and " calculus " simultaneously.And comprise " merging " without any a character in set, so the results set returned is for empty.Namely user can select without any entry.
This patent method:
K80.000 accompanying gallstones acute cholecystitis
K80.400 Calculus of bile duct with cholecystitis
K80.101 Gallbladder stone with Chronic Cholecystitis
Calculate match strength with " acute cholecystitis merging calculus " respectively, after namely removing the character of repetition, compare the identical number of character between two characters.
Obtain:
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)
Reset according to matching degree;
Obtain:
#1K80.000 accompanying gallstones acute cholecystitis matching degree: 7;
#2K80.101 Gallbladder stone with Chronic Cholecystitis matching degree: 6;
#3K80.400 Calculus of bile duct with cholecystitis matching degree: 5;
Then result set is returned to user, select for user.#1 is then the correct coding that user needs.
Example 2: the existing health care worker of same hypothesis needs the diagnosis coding to using to retrieve:
Suppose to be 0 time by each initialize entries in set.
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 key word " cholecystitis merging calculus " also have selected " K80.400 Calculus of bile duct with cholecystitis " from result set.Know selection namely after, " K80.400 Calculus of bile duct with cholecystitis " item count is added 1 and stored in private data storehouse.
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 list that algorithm calculates is:
K80.000 accompanying gallstones acute cholecystitis matching degree: 5 countings: 0;
K80.101 Gallbladder stone with Chronic Cholecystitis matching degree: 5 countings: 0;
K80.400 Calculus of bile duct with cholecystitis matching degree: 5 countings: 1;
Reset according to counting again:
K80.400 Calculus of bile duct with cholecystitis matching degree: 5 countings: 1;
K80.000 accompanying gallstones acute cholecystitis matching degree: 5 countings: 0;
K80.101 Gallbladder stone with Chronic Cholecystitis matching degree: 5 countings: 0;
Then user is selected before the more content of number of times comes, to facilitate user.
Therefore, the search method can found out the application from above-mentioned multiple example achieves to reduce and uses difficulty compared with traditional method, improves retrieval rate, meets international standard.
Technical scheme in above-mentioned the embodiment of the present application, at least has following technique effect or advantage:
Owing to have employed, intelligent diagnostics Operation encoding search method is designed to comprise: step 1: the coded character set receiving whole diagnosis or the operation preset, step 2: the input operation based on user receives by the string content searched, step 3: based on all elements in character repertoire in the string content searching loop step 1 that step 2 receives, obtain interim findings set and match strength, step 4: match strength is adjusted again: step 5: the coded character set of temporary information to step 1 according to match strength set entry is sorted, wherein be counted as the first sort by, length difference is the second sort by, step 6: before returning coded character set, the set of specified quantity carries out choice for use to user, step 7: the technical scheme obtaining the object set merging generation record that user selects, namely make to return results the characteristic that order attaches accuracy rate, realize refusal " empty result set " to return, limited quantity returns, and user judges without the need to key word, reduce the classification difficulty of user, thus improve the accuracy rate of classification, completely different from traditional expansion base principle, multiplicable raising is jointly used to choose accuracy with expansion base, this programme obtains database (WHERE condition judgment) retrieval scheme independent of common, this programme is not only applicable to international disease (operation) classification, the screening of the relational data (storehouse) of character variable type meets for individual character section or multi-field, be suitable for and the effect of optimization and accuracy rate lifting that describe in document received can be reached equally, so, efficiently solving the existence of existing diagnosis coding search method uses difficulty large, international standard can not be met, implement the technical matters that difficulty is large, and then achieve reduction use difficulty, improve retrieval rate, meet the technique effect of international standard.
Although describe the preferred embodiments of the present invention, those skilled in the art once obtain the basic creative concept of cicada, then can make other change and amendment to these embodiments.So claims are intended to be interpreted as comprising preferred embodiment and falling into all changes and the amendment of the scope of the invention.
Obviously, those skilled in the art can carry out various change and modification to the present invention and not depart from the spirit and scope of the present invention.Like this, if these amendments of the present invention and modification belong within the scope of the claims in the present invention and equivalent technologies thereof, then the present invention is also intended to comprise these change and modification.

Claims (8)

1. an intelligent diagnostics Operation encoding search method, is characterized in that, described method is used for searching certain random character in designated character storehouse, and described method comprises:
Step 1: the coded character set receiving whole diagnosis or the operation preset;
Step 2: the input operation based on user receives by the string content searched;
Step 3: based on all elements in character repertoire in the string content searching loop step 1 that step 2 receives, obtain interim findings set and match strength, wherein, go through and all over concrete operations during individual element be: step I, split respectively designated character storehouse element character string and by the character string of searching, recycle ratio is to the identical number of two groups of characters and count; Step II, comparison element character string and searched the length difference of character string; The parameter that I is obtained as match strength, and as the temporary information of Corresponding matching intensity set entry; Wherein, when occurring in match strength set entry that one or more Match of elemental composition intensity is consistent, based on the parameter in II, match strength is adjusted;
Step 4: adjust again match strength: step I, basis ignore counting to eliminate the impact of this character on match strength to part preset characters; Identical repeat character (RPT) number in the individual element to go through in Step II, calculation procedure 2 and step 3 time, the excessive enhancing match strength produced when eliminating it because repeatedly occurring; III, carry out match strength adjustment according to coded character set history access times;
Step 5: the coded character set of temporary information to step 1 according to match strength set entry is sorted, and be wherein counted as the first sort by, length difference is the second sort by;
Step 6: before returning coded character set, the set of specified quantity carries out choice for use to user;
Step 7: obtain the object set merging generation record that user selects.
2. intelligent diagnostics Operation encoding search method according to claim 1, is characterized in that, in step 3, step I compares to split element character string, and there are differences character when searching character with object element in set, object element also can be arranged out.
3. intelligent diagnostics Operation encoding search method according to claim 2, is characterized in that, described when occurring in match strength set entry that one or more Match of elemental composition intensity is consistent, adjusts, specifically comprise based on presetting method to match strength:
When carrying out the selection of International Classification of Diseases for clinical diagnosis, according to diagnosis entry by the number of times once used, person raises match strength often;
For in operation or diagnosis, remove insignificant character in coding schedule, to adjust matching degree.
4. intelligent diagnostics Operation encoding search method according to claim 3, is characterized in that, in described removal coding schedule, insignificant character is specially:
During for clinical diagnosis, ignore obtaining "left", "right" in retrieval title, to adjust matching degree;
During for operation names, ignore obtaining " art " in retrieval title, to adjust matching degree;
During for operation names or diagnosis, removal unit divides specific punctuation mark.
5. intelligent diagnostics Operation encoding search method according to claim 3, is characterized in that, describedly adjusts match strength based on presetting method, before can be used for results set process, in process and before returning.
6. intelligent diagnostics Operation encoding search method according to claim 1, it is characterized in that, described step 4 also comprises step IV: the correlativity that match strength can add character sequence is carried out intensity and calculated.
7. intelligent diagnostics Operation encoding search method according to claim 1, is characterized in that, when reception is retrieved character, can accepts subsidiary one or more restriction parameters as required, return corresponding set.
8. intelligent diagnostics Operation encoding search method according to claim 1, it is characterized in that, described step 5: the coded character set of temporary information to step 1 according to match strength set entry is sorted, and ranking functions can calculate, also can be screened by database SQL and draw.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107273681A (en) * 2017-06-09 2017-10-20 广州慧扬健康科技有限公司 Diagnose the intelligent sequencing system of typing
CN107577826A (en) * 2017-10-25 2018-01-12 山东众阳软件有限公司 Classification of diseases coding method and system based on raw diagnostic data

Citations (7)

* Cited by examiner, † Cited by third party
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

Patent Citations (7)

* Cited by examiner, † Cited by third party
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

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107273681A (en) * 2017-06-09 2017-10-20 广州慧扬健康科技有限公司 Diagnose the intelligent sequencing system of typing
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
CN107577826A (en) * 2017-10-25 2018-01-12 山东众阳软件有限公司 Classification of diseases coding method and system based on raw diagnostic data

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