CN107610783A - A kind of brain tumor information platform - Google Patents
A kind of brain tumor information platform Download PDFInfo
- Publication number
- CN107610783A CN107610783A CN201710810420.XA CN201710810420A CN107610783A CN 107610783 A CN107610783 A CN 107610783A CN 201710810420 A CN201710810420 A CN 201710810420A CN 107610783 A CN107610783 A CN 107610783A
- Authority
- CN
- China
- Prior art keywords
- data
- classification
- information
- level
- matching
- 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.)
- Pending
Links
Landscapes
- Medical Treatment And Welfare Office Work (AREA)
Abstract
A kind of brain tumor information platform, including data active layer, data center, application layer, data center described in the data inputting of the data active layer, and the data of data center are called by each functional module of the application layer, the data-entry-form of the data active layer includes information manual entry, system data typing and medical image file and imported, and the system data typing, the medical image file import accesses the data center by front end processor.Information platform data-entry-form provided by the invention is various.
Description
Technical field
The present invention relates to medical information processing technology field, particularly a kind of brain tumor information platform.
Background technology
Brain tumor is a kind of more multiple disease of current China citizen, because focus position is special, brain tumor
Check and treatment difficulty is larger, consequently, to facilitate doctor, patient are collected research to brain tumor information, country's tissue is built
Brain tumor information platform, for compiling brain tumor relevant information.
The formation gathering method of existing information platform is usually by manually typing or the option set according to system
Carry out Select input.Both data-entry-forms respectively have defect, the former the problem of be to be manually entered intricate operation, be doctor
Routine work add many workloads, doctor it has proven convenient at times, would not typing medical record information in detail, after being unfavorable for
Phase information is studied, and mistake very likely occurs simultaneously as being manually entered, and can also give the accuracy of the information research in later stage
Cause greatly to endanger.And although the latter reduces the workload of doctor to a certain extent, mistake appearance can also be reduced
Probability, but this method Data Enter limitation is very big, complicated for this kind of medical record information of brain tumor and miscellaneous state of an illness,
Simple Select input mode is higher for the setting requirements of typing early stage option, and when the maintenance in later stage can also take more
Between, it is unfavorable for promoting on a large scale.
Meanwhile existing information platform for logging data integration processing method also and imperfection, particularly data
Larger or more data source situation is measured, because grasp of the data inputting side for typing rule and understanding are different, is made
It is different into collected data format, in order to lift data nicety of grading, it can not many times be carried out by computer
Data processing, and must be significantly reduced by the way of manual read, while causing substantial amounts of human cost waste
Operating efficiency.
The content of the invention
The technical problems to be solved by the invention are that information platform data-entry-form of the prior art is single, and number
According to integration method imperfection, and provide a kind of various brain tumor information platform of data-entry-form.
In order to solve the above technical problems, the technical solution adopted by the present invention is as follows：
A kind of brain tumor information platform, including data active layer, data center, application layer, the data record of the data active layer
Enter the data center, and the data of data center are called by each functional module of the application layer, the data source
The data-entry-form of layer includes information manual entry, system data typing and medical image file and imported, the system number
Imported according to typing, the medical image file and the data center is accessed by front end processor.
In above- mentioned information platform, described information manual entry, the system data typing and the medical image file
The data of importing after data classification examination ＆ verification by entering the data center.
In above- mentioned information platform, data classification examination ＆ verification includes data categorization module, and the level of classifying is three-level, and one
Level is categorized as highest level of classification standard, and three-level is categorized as lowermost level criteria for classification, and the classifying step includes step 11, step 12
And step 2；
The step 11 is：The data are matched with the three-level criteria for classification, such as the match is successful, then directly will
The data are classified in the three-level criteria for classification of matching；Such as match it is unsuccessful, then into the step 12；
The step 12 is：The data are matched with the secondary classification standard, such as the match is successful, then directly will
The data are classified in the secondary classification standard of matching；Such as match it is unsuccessful, then into step 2；
The step 2 is：The data are matched with the first-level class standard, such as the match is successful, then directly will
The data are classified in the first-level class standard of matching；Such as match unsuccessful, the then data classification failure.
In above- mentioned information platform, before the step 11, in addition to the step 0 of the classification level, the step are formulated
Rapid 0 is：Title, keyword and the standard code of the three-level classification are formulated, formulates the title and keyword of the secondary classification,
Formulate the title of the first-level class；
Matching way in the step 11 is：First to the text information and the title of three-level classification of the data
Matched, as that can not match, the text information of the data is matched with the standard code that the three-level is classified, such as
Can not still match, the text information of the data is matched with the keyword that the three-level is classified, such as matching still not into
Work(, then into step 12；
Matching way in the step 12 is：The title of text information and the secondary classification first to the data
Matched, as that can not match, the text information of the data is matched with the keyword of the secondary classification, such as still
It can not match and then enter step 2；
In above- mentioned information platform, the step 0 also includes three fractions of standard code or acquiescence for formulating the secondary classification
The step of class, each secondary classification must possess a standard code or acquiescence three-level classification；The step 12 matches into
After work(, then into step 3：If the secondary classification of matching possesses standard code, the data are classified to described two
In level criteria for classification；If the secondary classification of matching possesses the acquiescence three-level classification, the data are classified to this
Give tacit consent in three-level classification.
In above- mentioned information platform, described information manual entry enters the data center by the typing of webpage registration system；
The system data typing accesses the front end processor by Webservice interfaces or data base view；The medical image file
It is directed through the DICOM agreements (Digital Imaging and Communications in Medicine, medical digital
Imaging and communication protocol) or the FTP service importing front end processor.
In above- mentioned information platform, the system data typing includes step a and step b successively, wherein,
The step a：Initiate data harvesting request；
The step b：Relevant information is obtained by electronic system；Including step b1 and step b2,
The step b1：Obtained by HIS systems (Hospital Information System, hospital information system)
Patient's diagnosis and treatment and cost information；
The step b2：Patient is obtained by EMR (Electronic Medical Record, electronic health record) to be admitted to hospital, go out
The electronic health records such as institute, operation.
In above- mentioned information platform, the step b1 includes step b11, step b12 and step b13, wherein,
The step b11：Obtained by LIS systems (Laboratory Information System, laboratory information system)
Take patient test's information；
The step b12：By PACS system (Picture Archiving and Communication Systems, shadow
As archiving and communication system) obtain patient's inspection information；
The step b13：Patient's pathologic finding information is obtained by pathology system.
In above- mentioned information platform, the application layer is included with lower module：Brain tumor statistical analysis system, brain tumor knowledge
Storehouse, brain tumor educational training system, the research of brain tumor research application, brain tumor register system, brain tumor follow-up system, brain tumor
Diagnosis and treatment accessory system, platform safety and policing services, data quality management, registration service, log services, rights management, interface
Service, knowledge base, dictionary library management.
In above- mentioned information platform, in addition to for managing described information platform safety standard system safe for operation.
The above-mentioned technical proposal of the present invention has advantages below compared with prior art：
1. the information platform of the present invention, including data active layer, data center, application layer, the data inputting number of data active layer
The data of data center are called according to center, and by each functional module of application layer, it is characterised in that：The number of data active layer
Include information manual entry, system data typing and medical image file according to typing mode to import, system data typing, medical science
Image file imports and accesses data center by front end processor.Such design, by being recorded from information manual entry, system data
Enter and medical image file imports and carries out data acquisition, enrich data acquisition source, add the versatility of information platform.
2. the information platform of the present invention, the number that information manual entry, system data typing and medical image file import
According to by entering data center after data classification examination ＆ verification.Such design so that via the data standard after data classification examination ＆ verification
Change degree is higher, makes the later stage more convenient for data application research.
3. the information platform of the present invention, data classification examination ＆ verification includes data categorization module, and classification level is three-level, a fraction
Class is highest level of classification standard, and three-level is categorized as lowermost level criteria for classification, and classifying step includes step 11, step 12 and step
2.Wherein step 11 is：Data are matched with three-level criteria for classification, such as the match is successful, then directly sorts data into matching
Three-level criteria for classification in；Such as match it is unsuccessful, then into step 12；Step 12 is：Data and secondary classification standard are carried out
Matching, such as the match is successful, then directly sorts data into the secondary classification standard of matching；Such as match it is unsuccessful, then enter step
Rapid 2；Step 2 is：Data are matched with first-level class standard, such as the match is successful, then directly sorts data into matching
In first-level class standard；Such as match unsuccessful, then data classification failure.Such design, by carrying out multi-layer to data
Match somebody with somebody, on the premise of being classified completely using computer, improve nicety of grading.
4. the information platform of the present invention, before step 11, in addition to the step 0 of classification level is formulated, step 0 is：System
Determine title, keyword and the standard code of three-level classification, formulate the title and keyword of secondary classification, formulate the name of first-level class
Claim；Matching way in step 11 is：The text information of data is matched with the title that three-level is classified first, such as can not
With then being matched to the text information of data with the standard code that three-level is classified, the word of data is believed if it can not still match
Cease and matched with the keyword of three-level classification, such as matching is still unsuccessful, then into step 12；Matching way in step 12
For：The text information of data is matched with the title of secondary classification first, to the text information of data if it can not match
Matched with the keyword of secondary classification, step 2 is entered if it can not still match.Such design, in the matching of every one-level
When can all use repeatedly matching, so as to when some information can not match, form dual fail-safe or more insurances, ensure classification essence
Degree.
5. the information platform of the present invention, step 0 also includes formulating the standard code of secondary classification or gives tacit consent to three-level classification
Step, each secondary classification must possess a standard code or acquiescence three-level classification；Step 12 then enters step after the match is successful
Rapid 3：If the secondary classification of matching possesses standard code, sort data into secondary classification standard；If the two of matching
Level classification possesses acquiescence three-level classification, then sorts data into the acquiescence three-level in classifying.Such design, has been ensured at some
During the three-level classification negligible amounts of secondary classification institute subordinate, classification is more accurate.
6. the information platform of the present invention, system data typing includes step a and step b successively, wherein, step a：Initiate number
Asked according to collection；Step b：Relevant information is obtained by electronic system；Including step b1 and step b2；Step b1：Pass through HIS systems
System (Hospital Information System, hospital information system) obtains patient's diagnosis and treatment and cost information；Step b2：It is logical
Cross EMR (Electronic Medical Record, electronic health record) and obtain patient and the electronic health record such as be admitted to hospital, leave hospital, performing the operation.This
The design of sample, patient's diagnosis and treatment, cost information and electronic health record are obtained by HIS systems and emr system respectively, add information
Source means, advantageously collecting and gather in aggregate data.
7. the information platform of the present invention, step b1 include step b11, step b12 and step b13, wherein, step b11：
Patient test's information is obtained by LIS systems (Laboratory Information System, laboratory information system)；Step
b12：By PACS system (Picture Archiving and Communication Systems, image archiving and communication system
System) obtain patient's inspection information；Step b13：Patient's pathologic finding information is obtained by pathology system.Such design, passes through LIS
System, PACS system and pathology system obtain the relevant information of patient respectively, further increase information source means, enter one
Step is advantageous to collecting and gathering for aggregate data.
8. the information platform of the present invention, in addition to the safety standard system safe for operation for management information platform.So
Design so that the running of information platform is constantly among monitoring, has ensured the safe operation of information platform.
Brief description of the drawings
In order that present disclosure is more likely to be clearly understood, specific embodiment and combination below according to the present invention
Accompanying drawing, the present invention is further detailed explanation.
Fig. 1 is the organizational structure schematic diagram of brain tumor information platform preferred embodiment of the present invention.
Fig. 2 is brain tumor information platform preferred embodiment data classification examination ＆ verification flow chart of steps of the present invention.
Fig. 3 is brain tumor information platform preferred embodiment system data typing flow chart of the present invention.
Embodiment
As Figure 1-3, it is the preferred embodiment of brain tumor information platform involved in the present invention, described information platform includes
Data active layer, data center, application layer and safety standard system.In data described in the data inputting of wherein described data active layer
The heart, and the data of data center are called by each functional module of the application layer, the safety standard system is used to manage
It is safe for operation to manage described information platform.
The data-entry-form of the data active layer includes information manual entry, system data typing and medical image text
Part imports, and the system data typing, the medical image file import accesses the data center by front end processor.At this
In embodiment, described information manual entry enters the data center by the typing of webpage registration system；The system data record
Enter and the front end processor is accessed by Webservice interfaces or data base view；The medical image file is directed through described
DICOM agreements (Digital Imaging and Communications in Medicine, digital imaging and communications in medicine association
View) or the FTP service importing front end processor.Further, described information manual entry, the system data typing and described
The data that medical image file imports after data classification examination ＆ verification by entering the data center.
The data classification examination ＆ verification includes data categorization module, and the classification level is three-level, and first-level class is the superlative degree
Criteria for classification, three-level are categorized as lowermost level criteria for classification.
In the present embodiment, methods described includes step 0, step 00, step 1, step 2 and step 3.
Wherein, the step 0 includes：Title, keyword and the standard code of the three-level classification are formulated, formulates described two
The title and keyword of level classification, formulate the title of the first-level class.Preferably, the step 0 also includes formulating described two
The step of standard code of level classification or acquiescence three-level classification, each secondary classification must possess a standard code or silent
Recognize three-level classification.
The step 00 is：Initial data is collected, and forms the text information for being available for computer to read and identify.
In the present embodiment, the step 00 is after the step 0.
The step 1 is：Collected data are matched with low-level criteria for classification, such as the match is successful, then directly
Connect and the data are classified in the low-level criteria for classification of matching；Such as match it is unsuccessful, then into step 2.In this reality
Apply in example, the step 1 includes step 11 and step 12.
Wherein described step 11 is：The data are matched with the three-level criteria for classification, such as the match is successful, then directly
Connect and the data are classified in the three-level criteria for classification of matching；Such as match it is unsuccessful, then into the step 12.Enter one
Step, the matching way in the step 11 is：The title classified first to the text information of the data with the three-level is entered
Row matching, as that can not match, is matched to the text information of the data with the standard code that the three-level is classified, such as still
It can not match, the text information of the data is matched with the keyword that the three-level is classified, such as matching is still unsuccessful,
Then enter step 12.
Wherein described step 12 is：The data are matched with the secondary classification standard, such as the match is successful, then directly
Connect and the data are classified in the secondary classification standard of matching；Such as match it is unsuccessful, then into step 2.Further,
Matching way in the step 12 is：The title progress of text information and the secondary classification first to the data
Match somebody with somebody, as that can not match, the text information of the data matched with the keyword of the secondary classification, such as still can not
With then entering step 2.Yet further, the step 12 is after the match is successful, then into step 3：If the two level of matching
Classification possesses standard code, then the data is classified in the secondary classification standard；If the secondary classification of matching
Possess the acquiescence three-level classification, then the data are classified in acquiescence three-level classification.
In the present embodiment, the keyword includes a class keywords and two class keywords, as included institute in the data
A class keywords are stated, and do not include two class keywords in the data, then the data and Keywords matching success.
Further, in the present embodiment, it is the step of step 0 also includes formulating default search condition, each described
Preset search condition described in corresponding one group of three classes classification, the step 2 is judging the data classification failure after it fails to match
Before, in addition to step 4：The data are matched with the default search condition, if the match is successful, the data classification
Into the three-level classification corresponding to the default search condition matched.Further, the default search condition bag
Include a kind of default search condition and two classes and preset search condition, a kind of default search condition as described in being included in the data, and
Do not include two class in the data and preset search condition, then the match is successful with the default search condition for the data.
The system data typing includes step a and step b successively, and the step b includes step b1 and step b2.At this
In embodiment, the step b1, the step b2 are carried out simultaneously.Further, interface mode used in the step b1 is
Database interface, interface mode used in the step b2 are Webservice interfaces.
The step a is：Initiate data harvesting request.In the present embodiment, the step a is to be initiated according to patient code
Data harvesting request.Further, the patient code is patient's admission number or patient's outpatient service number.
The step b is：Relevant information is obtained by electronic system.In the present embodiment, the step b1 is：It is logical
Cross HIS systems (Hospital Information System, hospital information system) and obtain patient's diagnosis and treatment and cost information.Institute
Stating step b2 is：Patient is obtained by EMR (Electronic Medical Record, electronic health record) to be admitted to hospital, leave hospital, perform the operation
Deng electronic health record.
Further, the step b1 includes step b11, step b12 and step b13, wherein, the step b11 is：
Patient test's information is obtained by LIS systems (Laboratory Information System, laboratory information system).It is described
Step b12 is：By PACS system (Picture Archiving and Communication Systems, image archiving and logical
Letter system) obtain patient's inspection information.The step b13 is：Patient's pathologic finding information is obtained by pathology system.In this implementation
In example, the step b11, the step b12 and the step b13 are carried out successively.
Further, the step b12 is by Dicom agreements (Digital Imaging and
Communications in Medicine, digital imaging and communications in medicine agreement) obtain inspection image.
Further, the step b13 is obtained by FTP (File Transfer Protocol, FTP)
Take pathological image.
Described information manual entry
In the present embodiment, the application layer is included with lower module：Brain tumor statistical analysis system, brain tumor knowledge base,
Brain tumor educational training system, the research of brain tumor research application, brain tumor register system, brain tumor follow-up system, brain tumor are examined
Treat accessory system, platform safety and policing services, data quality management, registration service, log services, rights management, interface clothes
Business, knowledge base, dictionary library management.
Obviously, above-described embodiment is only intended to clearly illustrate example, and is not the restriction to embodiment.It is right
For those of ordinary skill in the art, can also make on the basis of the above description it is other it is various forms of change or
Change.There is no necessity and possibility to exhaust all the enbodiments.And the obvious change thus amplified out or
Among changing still in the protection domain of the invention.
Claims (10)
1. a kind of brain tumor information platform, including data active layer, data center, application layer, the data inputting of the data active layer
The data center, and the data of data center are called by each functional module of the application layer, it is characterised in that：Institute
Stating the data-entry-form of data active layer includes information manual entry, system data typing and the importing of medical image file, institute
State system data typing, the medical image file imports and accesses the data center by front end processor.
2. information platform according to claim 1, it is characterised in that：Described information manual entry, system data record
Enter and the data of medical image file importing after data classification examination ＆ verification by entering the data center.
3. information platform according to claim 2, it is characterised in that：The data classification examination ＆ verification includes data classification mould
Block, the classification level is three-level, and first-level class is highest level of classification standard, and three-level is categorized as lowermost level criteria for classification, described
Classifying step includes step 11, step 12 and step 2；
The step 11 is：The data are matched with the three-level criteria for classification, such as the match is successful, then directly by described in
Data are classified in the three-level criteria for classification of matching；Such as match it is unsuccessful, then into the step 12；
The step 12 is：The data are matched with the secondary classification standard, such as the match is successful, then directly by described in
Data are classified in the secondary classification standard of matching；Such as match it is unsuccessful, then into step 2；
The step 2 is：The data are matched with the first-level class standard, such as the match is successful, then directly by described in
Data are classified in the first-level class standard of matching；Such as match unsuccessful, the then data classification failure.
4. information platform according to claim 3, it is characterised in that：Before the step 11, in addition to described in formulation
The step 0 for level of classifying, the step 0 are：Title, keyword and the standard code of three-level classification are formulated, described in formulation
The title and keyword of secondary classification, formulate the title of the first-level class；
Matching way in the step 11 is：The text information and the title of three-level classification of the data are carried out first
Matching, as that can not match, the text information of the data is matched with the standard code that the three-level is classified, as still without
Method matching then matches to the text information of the data with the keyword that the three-level is classified, and such as matching is still unsuccessful, then
Into step 12；
Matching way in the step 12 is：The text information of the data and the title of the secondary classification are carried out first
Matching, as that can not match, is matched to the text information of the data with the keyword of the secondary classification, still can not such as
Matching then enters step 2.
5. information platform according to claim 4, it is characterised in that：The step 0 also includes formulating the secondary classification
Standard code or the step of acquiescence three-level classification, each secondary classification must possess a standard code or acquiescence three-level
Classification；The step 12 is after the match is successful, then into step 3：, will if the secondary classification of matching possesses standard code
The data are classified in the secondary classification standard；If the secondary classification of matching possesses the acquiescence three-level classification,
Then the data are classified in acquiescence three-level classification.
6. information platform according to claim 1, it is characterised in that：Described information manual entry passes through webpage registration system
Typing enters the data center；The system data typing by Webservice interfaces or data base view access it is described before
Put machine；The medical image file is directed through the DICOM agreements (Digital Imaging and Communications
In Medicine, digital imaging and communications in medicine agreement) or the FTP service importing front end processor.
7. information platform according to claim 1, it is characterised in that：The system data typing successively include step a with
Step b, wherein,
The step a：Initiate data harvesting request；
The step b：Relevant information is obtained by electronic system；Including step b1 and step b2,
The step b1：Patient is obtained by HIS systems (Hospital Information System, hospital information system)
Diagnosis and treatment and cost information；
The step b2：Be admitted to hospital, leave hospital by EMR (Electronic Medical Record, electronic health record) acquisition patients,
The electronic health records such as operation.
8. information platform according to claim 7, it is characterised in that：The step b1 include step b11, step b12 with
And step b13, wherein,
The step b11：Obtained and suffered from by LIS systems (Laboratory Information System, laboratory information system)
Person's checking information；
The step b12：By PACS system, (Picture Archiving and Communication Systems, image are returned
Shelves and communication system) obtain patient's inspection information；
The step b13：Patient's pathologic finding information is obtained by pathology system.
9. information platform according to claim 1, it is characterised in that the application layer is included with lower module：Brain tumor is united
Score analysis system, brain tumor knowledge base, brain tumor educational training system, the research of brain tumor research application, brain tumor register system,
Brain tumor follow-up system, brain tumor diagnosis and treatment accessory system, platform safety and policing services, data quality management, registration service, day
Will service, rights management, interface service, knowledge base, dictionary library management.
10. information platform according to claim 1, it is characterised in that：Also include being used to manage the operation of described information platform
The safety standard system of safety.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710810420.XA CN107610783A (en) | 2017-09-11 | 2017-09-11 | A kind of brain tumor information platform |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710810420.XA CN107610783A (en) | 2017-09-11 | 2017-09-11 | A kind of brain tumor information platform |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107610783A true CN107610783A (en) | 2018-01-19 |
Family
ID=61062302
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710810420.XA Pending CN107610783A (en) | 2017-09-11 | 2017-09-11 | A kind of brain tumor information platform |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107610783A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109658998A (en) * | 2019-01-02 | 2019-04-19 | 中国中医科学院西苑医院 | A kind of TCM on tumor registration platform and method |
| CN111210883A (en) * | 2019-12-24 | 2020-05-29 | 深圳市联影医疗数据服务有限公司 | Method, system, device and storage medium for generating follow-up data of brain tumor patient |
| CN111223537A (en) * | 2020-01-14 | 2020-06-02 | 北京唐颐惠康生物医学技术有限公司 | Distributed cloud sample management method and system |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040236770A1 (en) * | 2003-05-23 | 2004-11-25 | Chung-I Lee | System and method for electronic management of cases |
| CN101504694A (en) * | 2008-02-04 | 2009-08-12 | 朱建国 | Medical clinical patient information material statistics and analysis system and method |
| CN106919608A (en) * | 2015-12-25 | 2017-07-04 | 中国移动通信集团公司 | Medical data processing method, device and platform |
-
2017
- 2017-09-11 CN CN201710810420.XA patent/CN107610783A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040236770A1 (en) * | 2003-05-23 | 2004-11-25 | Chung-I Lee | System and method for electronic management of cases |
| CN101504694A (en) * | 2008-02-04 | 2009-08-12 | 朱建国 | Medical clinical patient information material statistics and analysis system and method |
| CN106919608A (en) * | 2015-12-25 | 2017-07-04 | 中国移动通信集团公司 | Medical data processing method, device and platform |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109658998A (en) * | 2019-01-02 | 2019-04-19 | 中国中医科学院西苑医院 | A kind of TCM on tumor registration platform and method |
| CN111210883A (en) * | 2019-12-24 | 2020-05-29 | 深圳市联影医疗数据服务有限公司 | Method, system, device and storage medium for generating follow-up data of brain tumor patient |
| CN111210883B (en) * | 2019-12-24 | 2024-03-22 | 深圳市联影医疗数据服务有限公司 | Method, system, device and storage medium for generating follow-up data of brain tumor patient |
| CN111223537A (en) * | 2020-01-14 | 2020-06-02 | 北京唐颐惠康生物医学技术有限公司 | Distributed cloud sample management method and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111986770B (en) | Prescription medication auditing method, device, equipment and storage medium | |
| CN106934235B (en) | Patient's similarity measurement migratory system between a kind of disease areas based on transfer learning | |
| JP6907831B2 (en) | Context-based patient similarity methods and equipment | |
| CN110148473A (en) | It is classified diagnosis and treatment method and system | |
| CN107610783A (en) | A kind of brain tumor information platform | |
| Pavlov et al. | Reference medical datasets (MosMedData) for independent external evaluation of algorithms based on artificial intelligence in diagnostics | |
| CN112530535A (en) | Method and device for establishing disease-specific disease queue based on health medical big data | |
| CN106919804A (en) | Medicine based on clinical data recommends method, recommendation apparatus and server | |
| CN116434899A (en) | Health record information platform establishment method based on multi-source data | |
| CN114048343A (en) | Classification platform covering medical image information of patients in whole disease course | |
| CN111180027B (en) | Patient portrait correlation rule screening method and device based on medical big data | |
| WO2023273455A1 (en) | Method and apparatus for constructing medical knowledge graph, device, and computer readable medium | |
| CN107066816B (en) | Medical treatment guidance method and device based on clinical data and server | |
| CN115831298B (en) | Clinical trial patient recruitment method and device based on hospital management information system | |
| CN115691735B (en) | Multi-mode data management method and system based on slow-resistance pulmonary specialty data | |
| CN116030965A (en) | Processing method for whole-course diagnosis and treatment data covering hospital-outside special diseases | |
| CN110010231A (en) | A kind of data processing system and computer readable storage medium | |
| Son et al. | Korean Pharmacovigilance System Based on EHR-CDM. | |
| Huddart et al. | Solicited Cough Sound Analysis for Tuberculosis Triage Testing: The CODA TB DREAM Challenge Dataset | |
| CN114155970A (en) | Clinical lung infection data information processing method and system based on big data | |
| Segev et al. | Internet as a knowledge base for medical diagnostic assistance | |
| RU2818874C1 (en) | Medical decision support system | |
| Harigua et al. | Lesionia: a digital data management system for epidemiological and clinical data collected from patients suspected for cutaneous leishmaniasis | |
| Che et al. | An approach to multidimensional medical data analysis based on the skyline operator | |
| CN111180028B (en) | Patient image specificity rule screening method and device based on medical big data |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180119 |