CN110019410A - For the big data digging system of tcm clinical case information - Google Patents
For the big data digging system of tcm clinical case information Download PDFInfo
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- CN110019410A CN110019410A CN201711488542.8A CN201711488542A CN110019410A CN 110019410 A CN110019410 A CN 110019410A CN 201711488542 A CN201711488542 A CN 201711488542A CN 110019410 A CN110019410 A CN 110019410A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2465—Query processing support for facilitating data mining operations in structured databases
Abstract
The invention discloses a kind of big data digging system for tcm clinical case information, which includes: medical record management module, data source modules and data-mining module；Wherein, the medical record management module allows doctor's typing medical record and retrieves to medical record information, and provides data to the data source modules；The data source modules are responsible for storing the data of the medical record management module submission and other external datas and carry out standardization processing；The data-mining module is responsible for the data transmitted for the data source modules and carries out data prediction, knowledge excavation and knowledge analysis processing.
Description
Technical field
The invention belongs to big data digging technology fields, are related to a kind of big data digging for tcm clinical case information
Pick system.
Background technique
In recent years, a large amount of cases history is had accumulated in traditional Chinese medicine field, the information in case taking includes many hide
, valuable medical knowledge.
And the networking of medical data with digitlization transformation so that the method for manual sorting data is no longer feasible, be not able to satisfy
The Research Requirements of medical research personnel preferably save and use medical record information.
Therefore, a kind of data digging system for integrating medical record management module and data-mining module is designed, is used for
Primary symptom shape is extracted in medical record data mining, and the incidence relation for obtaining drug matching rule, excavating medication and symptom finds symptom-card
Matching grating between type, so that paramedical personnel, which makes reasonable diagnosis and treatment project, to be particularly important.
Summary of the invention
It is an object of that present invention to provide a kind of big data digging systems for tcm clinical case information, in order to overcome
The method of traditional manual sorting data is no longer met the Research Requirements of medical research personnel and preferably saves, believed using medical record
The problem of breath, is designed by using C#.net environment and B/S architecture technology, and the research for meeting medical research personnel needs
It asks, and preferably saves, using medical record information, established for the further new rule of research tcm clinical data mining, new method
Basis is determined.
In order to solve the above technical problems, the present invention adopts the following technical scheme that: one kind is believed for tcm clinical case
The big data digging system of breath, the system include: medical record management module, data source modules and data-mining module；Wherein, institute
Stating medical record management module allows doctor's typing medical record and retrieves to medical record information, and provides data to the data source mould
Block；The data source modules are responsible for storing the data that the medical record management module is submitted and other external datas are gone forward side by side professional etiquette model
Change processing；The data-mining module is responsible for the data transmitted for the data source modules and carries out data prediction, knowledge digging
Pick and knowledge analysis processing.
Further, the medical record management module is made of medical record typing submodule and medical record retrieval submodule；Wherein,
Medical record typing submodule includes essential information typing and case history input function；Medical record retrieval submodule is mainly responsible for inquiry and shows
The medical record information of patient, and provide and accurately inquired by patient's identification number, by functions such as name of disease inquiry, feeling attending doctor inquiries.
Further, the mining process of the data-mining module point: data prediction, Extracting Knowledge and knowledge analysis
Three phases.
The present invention have compared with prior art it is below the utility model has the advantages that
The present invention program no longer meets the Research Requirements of medical research personnel for the method for traditional manual sorting data
And preferably save, using medical record information the problem of, be designed by using C#.net environment and B/S architecture technology, it is full
The foot Research Requirements of medical research personnel, and preferably save, using medical record information, for further research tcm clinical
The new rule of data mining, new method are laid a good foundation.
Detailed description of the invention
Fig. 1 is the general frame figure for the big data digging system of tcm clinical case information.
Fig. 2 is medical record typing and the retrieval flow figure of the big data digging system for tcm clinical case information.
Fig. 3 is the data-mining module flow chart for the big data digging system of tcm clinical case information
Specific embodiment
With reference to the accompanying drawing and specific embodiment to the present invention carry out in further detail with complete explanation.It is understood that
It is that described herein the specific embodiments are only for explaining the present invention, rather than limitation of the invention.
Referring to Fig.1, a kind of big data digging system for tcm clinical case information of the present invention, the system include:
The system includes: medical record management module, data source modules and data-mining module；Wherein, the medical record management module allows
Doctor's typing medical record and medical record information is retrieved, and provides data to the data source modules；The data source modules are negative
Duty stores the data that the medical record management module is submitted and other external datas and carries out standardization processing；The data mining
Module is responsible for the data transmitted for the data source modules and carries out data prediction, knowledge excavation and knowledge analysis processing.
Referring to Fig. 2, medical record management module is designed based on reality needs, and medical record management module includes two functions: disease
Case typing and medical record are retrieved.Medical record typing is divided into essential information typing and case history typing again, and essential information specifically includes that medical record
Number, name, gender, occupation, name race, wedding condition, the age, morbidity solar term, identity card, phone, contact address, past medical history, family history
This 13 attributes；Case history typing is mainly the medical record information of typing patient, is mainly had: patient's identification number, main suit, present illness history, diagnosis,
Therapy, Chinese medicine four methods of diagnosis information, laboratory check information etc..The function also comprising printout, medical record are retrieved simultaneously for medical record retrieval
The medical record information for mainly inquiring and showing patient provides and accurately inquires by patient's identification number, inquires by name of disease inquiry, feeling attending doctor
Deng.
For medical record typing, a patient's identification number is created, typing essential information, case information, defeated based on what is designed respectively
Enter information model, the option that system display needs to input, when inputting medical record data, to carry out unified standard, system can be right
Some data provide prompt and default value.Such as, the input of Time of Day.Doctor can all data of gradation typing, and with input
Patient's identification number facilitates data input and updates as mark.Additionally set up data dictionary table, the knowledge of some normalizations of typing, such as
Chinese medicine name and number, symptom and coding, card type and coding after specification etc., are deposited into database.
Medical record is retrieved, system provides " precise search " and " fuzzy query " and retrieves two ways, by that can set
Different condition, such as name, age, patient's identification number etc., input inquiry condition, doctor can retrieve all medical records of needs
Information, default operating right, doctor do not have modification authority to other people diagnosis and treatment medical records.After providing medical record search function, doctor
Life can check patient's medical record in advance, can propose more reasonable diagnosis and treatment opinion when reserving further consultation so as to patient, can also be to oneself
The place neglected before is corrected, and young doctor can also enrich the diagnosis of oneself by checking the medical record of experience doctor's typing
Knowledge.System supports printout.
Referring to Fig. 3, the data-mining module is designed based on Research Requirements, is intended to carry out knowledge to medical record data
It excavates, mining process is divided into following three phases:
Data preprocessing phase is imported by database obtain data first, then through number in process of data preprocessing
Data preprocess carries out arrangement specification, quantization modulation etc. to medical record information, obtains data available.Main flow includes: by " data
Cleaning " carries out the operation such as deletion default value, deletion error to the data of selection；By " data conversion ", SQL statement is called
Operable data in machine learning are converted by the data dictionary table in the data control knowledge base of medicine expression.Simultaneity factor
Data transverse and longitudinal transformation function is provided, by the data deposit data mining library after conversion after having handled, is made with being studied to the later period
With.Mode there are also a kind of pair of data prediction is exactly to pass through Algorithm for Attribute Reduction to carry out reduction to data attribute: being adjusted
The attribute information after reduction is extracted with MIBARK algorithm, is stored in data mining library.
In the Extracting Knowledge stage, the data mining duty of realization has: association rule mining, neural network classification prediction, Yi Jiqi
He selects to need Extracting Knowledge type, after specification handles data mining capability in data mining knowledge process
, symptom data collection, card type data set, Chinese medicine data set, difference maintenance data mining algorithm, to association analysis knowledge and nerve
Network class prediction knowledge is excavated.In association analysis knowledge excavation, the algorithm file of calling system encapsulation passes through setting
Support threshold, confidence threshold value parameter obtain the correlation rules of needs.System is by frequent item set and each frequent item set
Statistical counting, be shown on the page, association results are with the sequence list display of " former piece=> consequent support confidence level ".?
During neural network classification prediction knowledge excavates, according to the parameter set: error, learning rate, maximum number of iterations, each node layer
Number, training sample number etc., establish out prediction model of classifying.Then the sample of selection test is predicted, after system operation,
Export discrimination, recognition result.
In the last knowledge analysis stage, by the Extracting Knowledge combination knowledge in knowledge base of acquisition, medicine side is excavated
Incidence relation and symptom-card type dialectical discrimination rule between agent Compatibility Law, symptom and medication.
The algorithm being designed into for the big data digging system of tcm clinical case information has:
MIBARK algorithm based on Importance of Attributes is a kind of by introducing between the condition class and Decision Classes of decision table
Mutual information measures the old attribute reduction algorithms of Importance of Attributes.MIBARK algorithm description is as follows: input: decision table, wherein U is indicated
Transaction data set (TDS), C indicate that conditional attribute, D indicate decision attribute.Output: property set B is conditional attribute collection C relative to decision category
A Relative Reduced Concept of property collection D.In data preprocessing phase, system extracts asthma primary symptom shape using the algorithm, eliminates redundancy
Symptom is prepared for Medical Records data mining in next step.
The computer of fast reaction based on to(for) bit string, improves Apriori algorithm: will be in the D of item data library
Each things I is indicated with a bit string.Occur being 1, does not occur being 0.Algorithm only needs run-down database after improvement, generates
Initial item bit string operates the logical "and" of item bit string, a support meter is determined by the number of " 1 " in statistical items bit string
Number.
Also use a kind of improved BP neural network algorithm in this system, the innovatory algorithm by the competition learning of hidden layer with
The adaptive adjustment of learning rate avoids falling into local minimum to make algorithm fast convergence.The basic thought of algorithm: hidden layer has been calculated
After the error of each node, the weight for the node for having worst error is normally corrected, and to the weight of other units all to phase
Opposite direction amendment；After each algorithm iteration is complete, calculates the value of error function and be compared with previous value, if error
The value of function increases, then represents toning learning rate, learning rate should be lowered in next iteration with certain ratio, if error letter
Several values reduces, then representing learning rate amplification can increase.System is in asthma symptoms-matched knowledge excavation of card type, first
Using MIBARK algorithm, main sympotomatic set is extracted, then uses improved back-propagation again, classification prediction model is established, to test
Data carry out classification prediction, and then excavate the matching grating between asthma symptoms and card type
The above is not intended to restrict the invention, and to those skilled in the art, the present invention can have various change
Dynamic and variation.All any modification, equivalent replacement, improvement and so within the spirit and principles of the present invention, should be included in
Within protection scope of the present invention.
Claims (3)
1. being directed to the big data digging system of tcm clinical case information, which is characterized in that the system comprises: medical record management
Module, data source modules and data-mining module；Wherein, the medical record management module allows doctor's typing medical record and to medical record
Information is retrieved, and provides data to the data source modules；The data source modules are responsible for storing the medical record management mould
The data and other external datas of block submission simultaneously carry out standardization processing；The data-mining module is responsible for being directed to the data
The data that source module transmits carry out data prediction, knowledge excavation and knowledge analysis processing.
2. the big data digging system according to claim 1 for tcm clinical case information, which is characterized in that institute
Medical record management module is stated to be made of medical record typing submodule and medical record retrieval submodule；Wherein, medical record typing submodule includes
Essential information typing and case history input function；Medical record retrieval submodule is mainly responsible for inquiry and shows the medical record information of patient, with
And it provides and is accurately inquired by patient's identification number, by functions such as name of disease inquiry, feeling attending doctor inquiries.
3. the big data digging system according to claim 1 for tcm clinical case information, which is characterized in that institute
State the mining process point of data-mining module: data prediction, Extracting Knowledge and knowledge analysis three phases.
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| CN201711488542.8A CN110019410A (en) | 2017-12-30 | 2017-12-30 | For the big data digging system of tcm clinical case information |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110335660A (en) * | 2019-07-17 | 2019-10-15 | 窦一田 | A kind of TCM academic individuation experience arranges and the pre- measurement equipment of target spot |
| CN111241164A (en) * | 2020-01-18 | 2020-06-05 | 湖北理工学院 | Traditional Chinese medicine system pharmacology analysis platform and analysis method |
| CN111599487A (en) * | 2020-05-12 | 2020-08-28 | 成都睿明医疗信息技术有限公司 | Traditional Chinese medicine compatibility assistant decision-making method based on correlation analysis |
| CN112233803A (en) * | 2020-09-11 | 2021-01-15 | 北京欧应信息技术有限公司 | Data mining device for assisting doctor in optimizing diagnosis and treatment |
| CN112542226A (en) * | 2020-12-14 | 2021-03-23 | 上海理工大学 | Decision support system for adaptation of rehabilitation aid for patients with limb dysfunction |
| CN112927777A (en) * | 2021-03-23 | 2021-06-08 | 杭州聪宝科技有限公司 | Intelligent generation system and method of traditional Chinese medicine electronic medical record |
-
2017
- 2017-12-30 CN CN201711488542.8A patent/CN110019410A/en active Pending
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110335660A (en) * | 2019-07-17 | 2019-10-15 | 窦一田 | A kind of TCM academic individuation experience arranges and the pre- measurement equipment of target spot |
| CN111241164A (en) * | 2020-01-18 | 2020-06-05 | 湖北理工学院 | Traditional Chinese medicine system pharmacology analysis platform and analysis method |
| CN111599487A (en) * | 2020-05-12 | 2020-08-28 | 成都睿明医疗信息技术有限公司 | Traditional Chinese medicine compatibility assistant decision-making method based on correlation analysis |
| CN112233803A (en) * | 2020-09-11 | 2021-01-15 | 北京欧应信息技术有限公司 | Data mining device for assisting doctor in optimizing diagnosis and treatment |
| CN112542226A (en) * | 2020-12-14 | 2021-03-23 | 上海理工大学 | Decision support system for adaptation of rehabilitation aid for patients with limb dysfunction |
| CN112927777A (en) * | 2021-03-23 | 2021-06-08 | 杭州聪宝科技有限公司 | Intelligent generation system and method of traditional Chinese medicine electronic medical record |
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Application publication date: 20190716 |