CN106295092A - The multi-dimensional data of clinical treatment analyzes method and system - Google Patents
The multi-dimensional data of clinical treatment analyzes method and system Download PDFInfo
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- CN106295092A CN106295092A CN201510244076.3A CN201510244076A CN106295092A CN 106295092 A CN106295092 A CN 106295092A CN 201510244076 A CN201510244076 A CN 201510244076A CN 106295092 A CN106295092 A CN 106295092A
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Abstract
The multi-dimensional data that the invention discloses clinical treatment analyzes method and system.This multi-dimensional data analyzes method, including: receiving multiple data source comprising clinical treatment diagnostic message, described clinical treatment diagnostic message is structured message；From multiple described data sources, training generates the medical standard storehouse for analytical data source；Use medical standard storehouse to extract at least two from each data source and there is the dimension of logical relation and the dimension values of correspondence.The data source of structurized clinical treatment diagnostic message is comprised by reception, from described data source, training generates medical standard storehouse, from each data source, two dimensions at least with logical relation and the dimension values of correspondence is extracted according to medical standard storehouse, achieve the quick process to clinical treatment diagnostic message, provide reference for diagnosis.
Description
Technical field
The present invention relates to clinical treatment field, the multi-dimensional data particularly relating to clinical treatment is analyzed method and is
System.
Background technology
Clinical trial is a complicated test system, relates to pathology, pharmacology, ethics, statistics
Etc. many contents." the clinical drug trial quality promulgated according to State Food and Drug Administration
Management regulation " in the definition of clinical trial, clinical trial refers to any human body (patient or healthy volunteer)
Carry out the systematic Study of medicine, to confirm or to disclose the effect of trial drug, untoward reaction and/or investigational agent
The absorption of thing, distribution, metabolism and excretion, it is therefore an objective to determine the efficacy and safety of trial drug.Abroad,
The personnel participating in clinical trial are referred to as volunteer, domestic commonly referred to as " experimenter ", have inside volunteer
Healthy people, also has patient, and this mainly sees it is to participate in which type of test.We contact most examinations at ordinary times
Test, or participated in by patient, it is therefore intended that investigation new drug is either with or without curative effect, either with or without the test of side effect.
It is people due to participate in test, it is necessary to respect the personality of he (she), participates in test and have to comply with participation test
The interests of person, in this context, test just can be done.And during testing, participant can need not
Any reason, and do not continue to test, the selection of he (or she), everyone including doctor
All have no right to interfere.But when currently medical data being analyzed, much it is all based on artificial judgment or statistics
Analysis on, lacks for pathology and the analysis of diagnosis process.
Summary of the invention
The multi-dimensional data that the invention provides a kind of clinical treatment analyzes method and system, and it is wrapped by reception
Containing the data source of structurized clinical treatment diagnostic message, from described data source, training generates medical standard storehouse,
From each data source, two dimensions at least with logical relation and the dimension of correspondence is extracted according to medical standard storehouse
Angle value, it is achieved that the quick process to clinical treatment diagnostic message, provides reference for diagnosis.
For reaching this purpose, the present invention by the following technical solutions:
On the one hand the multi-dimensional data using clinical treatment analyzes method, including:
Receiving multiple data source comprising clinical treatment diagnostic message, described clinical treatment diagnostic message is structure
Change information；
From multiple described data sources, training generates the medical standard storehouse for analytical data source；
Use medical standard storehouse to extract at least two from each data source and there is dimension and the correspondence of logical relation
Dimension values.
Wherein, described training from multiple described data sources generates the medical standard storehouse for analytical data source,
Particularly as follows:
From multiple described data sources, the doctor generated for analytical data source is trained in conjunction with health Medicine standard
Treat java standard library.
Wherein, described clinical treatment diagnostic message includes prescription information and medical image.
Wherein, described data source is stored in Cloud Server；
Described use medical standard storehouse extract from each data source at least two have logical relation dimension and
Corresponding dimension values, including:
Described data source is assigned to multiple stage computer uses medical standard storehouse to carry out data extraction；
From each data source, extract at least two there is the dimension of logical relation and the dimension values of correspondence.
Wherein, the clinical treatment diagnostic message produced during described clinical treatment diagnostic message is clinical trial.
On the other hand the multi-dimensional data using clinical treatment analyzes system, including:
Data sources unit, for receiving multiple data source comprising clinical treatment diagnostic message, described in face
Bed medical diagnostic information is structured message；
Training signal generating unit, generates the medical treatment for analytical data source for training from multiple described data sources
Java standard library；
Data extracting unit, is used for using medical standard storehouse to extract at least two from each data source and has and patrol
The dimension of the relation of collecting and the dimension values of correspondence.
Wherein, described training signal generating unit, specifically for:
From multiple described data sources, the doctor generated for analytical data source is trained in conjunction with health Medicine standard
Treat java standard library.
Wherein, described clinical treatment diagnostic message includes prescription information and medical image.
Wherein, described data source is stored in Cloud Server；
Described data extracting unit, including:
Data allocation module, uses medical standard storehouse to carry out for described data source is assigned to multiple stage computer
Data are extracted；
Data extraction module, for from each data source extract at least two have logical relation dimension and
Corresponding dimension values.
Wherein, the clinical treatment diagnostic message produced during described clinical treatment diagnostic message is clinical trial.
The invention have the benefit that the data source comprising structurized clinical treatment diagnostic message by reception,
From described data source, training generates medical standard storehouse, extracts two according to medical standard storehouse from each data source
The individual dimension at least with logical relation and the dimension values of correspondence, it is achieved that fast to clinical treatment diagnostic message
Speed processes, and provides reference for diagnosis.
Accompanying drawing explanation
For the technical scheme being illustrated more clearly that in the embodiment of the present invention, the embodiment of the present invention will be retouched below
In stating, the required accompanying drawing used is briefly described, it should be apparent that, the accompanying drawing in describing below is only
Some embodiments of the present invention, for those of ordinary skill in the art, are not paying creative work
Under premise, it is also possible to content according to embodiments of the present invention and these accompanying drawings obtain other accompanying drawing.
Fig. 1 is that the multi-dimensional data of the clinical treatment provided in the specific embodiment of the invention analyzes the of method
The method flow diagram of one embodiment.
Fig. 2 is that the multi-dimensional data of the clinical treatment provided in the specific embodiment of the invention analyzes the of method
The method flow diagram of two embodiments.
Fig. 3 is that the multi-dimensional data of the clinical treatment provided in the specific embodiment of the invention analyzes the of system
The block diagram of one embodiment.
Fig. 4 is that the multi-dimensional data of the clinical treatment provided in the specific embodiment of the invention analyzes the of system
The block diagram of two embodiments.
Detailed description of the invention
Technical scheme and the technique effect reached for making to present invention solves the technical problem that, using are clearer,
Below in conjunction with accompanying drawing, the technical scheme of the embodiment of the present invention is described in further detail, it is clear that retouched
The embodiment stated is only a part of embodiment of the present invention rather than whole embodiments.Based in the present invention
Embodiment, the every other reality that those skilled in the art are obtained under not making creative work premise
Execute example, broadly fall into the scope of protection of the invention.
Refer to Fig. 1, it is the multi-dimensional data analysis of the clinical treatment provided in the specific embodiment of the invention
The method flow diagram of first embodiment of method.Multi-dimensional data in the present invention is analyzed method and is mainly used in
During clinical treatment, all of medical data collected and process, it is achieved to pathological diagnosis computer aided manufacturing
Help, improve diagnosis efficiency.As it can be seen, the method includes:
Step S101: receive multiple data source comprising clinical treatment diagnostic message, described clinical treatment diagnoses
Information is structured message.
Clinical treatment diagnostic message includes patient information, history information, image data etc..Digital Construction
Degree is different, structured message and unstructured information to occupy ratio the most different.The most all of disease
The essential information of people, medical history, treatment process etc. are all the storage of the i.e. structured message of the information with structural data
In data base, outpatient service simultaneously and the accounting information etc. be in hospital also can with structured message record in data base,
Additionally, such as Picture Archiving and Communication System (PACS), laboratory information system (LIS), clinical information
The various digital medical systems such as system (CIS), electronic medical record system (EMR) achieve the most in various degree
The structured storage of patient information.
Step S102: training generates the medical standard storehouse for analytical data source from multiple described data sources.
For realizing the intelligent decision to clinical medical data, instruct based on genetic algorithm from multiple described data sources
Practice nerve to play, carry out neutral net second training if desired, generate the medical standard for analytical data source
Storehouse.
Step S103: use medical standard storehouse to extract at least two from each data source and there is logical relation
Dimension and the dimension values of correspondence.
From each data source, extract at least two there is the dimension of logical relation and the dimension values of correspondence, it is judged that
Produce the inducement of various pathological change.
In sum, the data source of structurized clinical treatment diagnostic message is comprised by reception, from described number
Generate medical standard storehouse according to training in source, from each data source, extract two according to medical standard storehouse and at least have
There are the dimension of logical relation and the dimension values of correspondence, it is achieved that the quick process to clinical treatment diagnostic message,
Reference is provided for diagnosis.
Refer to Fig. 2, it is the multi-dimensional data analysis of the clinical treatment provided in the specific embodiment of the invention
The method flow diagram of second embodiment of method.As it can be seen, the method, including:
Step S201: receive multiple data source comprising clinical treatment diagnostic message, described clinical treatment diagnoses
Information is structured message.
In the present embodiment, described clinical treatment diagnostic message is that the clinical treatment produced during clinical trial is examined
Disconnected information.The clinical treatment diagnostic message produced during clinical trial possesses high similarity, can be quick
Confirm, for the same sick quick analysis planted during diagnosing, to improve the computational efficiency of clinic test center.
Step S202: combine health Medicine standard and train generation for analyzing from multiple described data sources
The medical standard storehouse of data source.
Described clinical treatment diagnostic message includes prescription information and medical image.
Step S203: described data source is assigned to multiple stage computer and uses medical standard storehouse to carry out data extraction.
Described data source is stored in Cloud Server.
The clinical medical data produced during clinical trial is the most, produces ground ratio relatively decentralized, is taken by cloud
Business device is capable of quickly collecting and arranging of data.
Step S204: extract at least two from each data source and there is the dimension of logical relation and the dimension of correspondence
Angle value.
Distributed Calculation can improve the speed that data process, right especially for large batch of medical picture
Than analyzing, needing substantial amounts of calculating resource, distributed treatment can reduce hardware cost and time cost.
In sum, the data source of structurized clinical treatment diagnostic message is comprised by reception, from described number
Generate medical standard storehouse according to training in source, from each data source, extract two according to medical standard storehouse and at least have
There are the dimension of logical relation and the dimension values of correspondence, it is achieved that the quick process to clinical treatment diagnostic message,
Reference is provided for diagnosis.Cloud storage and Distributed Calculation can improve data handling procedure medium velocity simultaneously, carry
High operation efficiency.
The multi-dimensional data that the following is clinical treatment of the present invention analyzes the embodiment of system, the multidimensional of clinical treatment
Degrees of data analyzes the embodiment of system on the embodiment basis of the multi-dimensional data analysis method of foregoing clinical medical treatment
Upper realization, description the most most in multi-dimensional data analyzes the embodiment of system, refer to aforesaid various dimensions
The embodiment of data analysing method.
Refer to Fig. 3, it is the multi-dimensional data analysis of the clinical treatment provided in the specific embodiment of the invention
The block diagram of first embodiment of system, includes as it can be seen, this multi-dimensional data analyzes system:
Data sources unit 310, for receiving multiple data source comprising clinical treatment diagnostic message, described
Clinical treatment diagnostic message is structured message.
Training signal generating unit 320, generates the doctor for analytical data source for training from multiple described data sources
Treat java standard library.
Data extracting unit 330, is used for using medical standard storehouse to extract at least two from each data source and has
The dimension of logical relation and the dimension values of correspondence.
In sum, the collaborative operating of above-mentioned each unit, comprise structurized clinical treatment by reception and diagnose
The data source of information, from described data source, training generates medical standard storehouse, according to medical standard storehouse from each
Data source is extracted two dimensions at least with logical relation and the dimension values of correspondence, it is achieved that clinic is cured
Treat the quick process of diagnostic message, provide reference for diagnosis.
Refer to Fig. 4, it is the multi-dimensional data analysis of the clinical treatment provided in the specific embodiment of the invention
The block diagram of second embodiment of system, includes as it can be seen, this multi-dimensional data analyzes system:
Data sources unit 310, for receiving multiple data source comprising clinical treatment diagnostic message, described
Clinical treatment diagnostic message is structured message.
Training signal generating unit 320, generates the doctor for analytical data source for training from multiple described data sources
Treat java standard library.
Data extracting unit 330, is used for using medical standard storehouse to extract at least two from each data source and has
The dimension of logical relation and the dimension values of correspondence.
Wherein, described training signal generating unit 320, specifically for:
From multiple described data sources, the doctor generated for analytical data source is trained in conjunction with health Medicine standard
Treat java standard library.
Wherein, described clinical treatment diagnostic message includes prescription information and medical image.
Wherein, described data source is stored in Cloud Server；
Described data extracting unit 330, including:
Data allocation module 331, uses medical standard storehouse to enter for described data source is assigned to multiple stage computer
Row data are extracted；
Data extraction module 332, has the dimension of logical relation for extracting at least two from each data source
And the dimension values of correspondence.
Wherein, the clinical treatment diagnostic message produced during described clinical treatment diagnostic message is clinical trial.
In sum, the collaborative operating of above-mentioned each unit, comprise structurized clinical treatment by reception and diagnose
The data source of information, from described data source, training generates medical standard storehouse, according to medical standard storehouse from each
Data source is extracted two dimensions at least with logical relation and the dimension values of correspondence, it is achieved that clinic is cured
Treat the quick process of diagnostic message, provide reference for diagnosis.Cloud storage and Distributed Calculation can improve simultaneously
Data handling procedure medium velocity, improves operation efficiency.
The know-why of the present invention is described above in association with specific embodiment.These describe and are intended merely to explain this
The principle of invention, and limiting the scope of the invention can not be construed to by any way.Based on herein
Explaining, those skilled in the art need not pay performing creative labour can associate other tool of the present invention
Body embodiment, within these modes fall within protection scope of the present invention.
Claims (10)
1. the multi-dimensional data of clinical treatment analyzes method, it is characterised in that including:
Receiving multiple data source comprising clinical treatment diagnostic message, described clinical treatment diagnostic message is structure
Change information；
From multiple described data sources, training generates the medical standard storehouse for analytical data source；
Use medical standard storehouse to extract at least two from each data source and there is dimension and the correspondence of logical relation
Dimension values.
Multi-dimensional data the most according to claim 1 analyzes method, it is characterised in that described from multiple
In described data source, training generates the medical standard storehouse for analytical data source, particularly as follows:
From multiple described data sources, the doctor generated for analytical data source is trained in conjunction with health Medicine standard
Treat java standard library.
Multi-dimensional data the most according to claim 1 analyzes method, it is characterised in that described clinical doctor
Treat diagnostic message and include prescription information and medical image.
Multi-dimensional data the most according to claim 1 analyzes method, it is characterised in that described data source
It is stored in Cloud Server；
Described use medical standard storehouse extract from each data source at least two have logical relation dimension and
Corresponding dimension values, including:
Described data source is assigned to multiple stage computer uses medical standard storehouse to carry out data extraction；
From each data source, extract at least two there is the dimension of logical relation and the dimension values of correspondence.
Multi-dimensional data the most according to claim 1 analyzes method, it is characterised in that described clinical doctor
Treating diagnostic message is the clinical treatment diagnostic message produced during clinical trial.
6. the multi-dimensional data of clinical treatment analyzes system, it is characterised in that including:
Data sources unit, for receiving multiple data source comprising clinical treatment diagnostic message, described in face
Bed medical diagnostic information is structured message；
Training signal generating unit, generates the medical treatment for analytical data source for training from multiple described data sources
Java standard library；
Data extracting unit, is used for using medical standard storehouse to extract at least two from each data source and has and patrol
The dimension of the relation of collecting and the dimension values of correspondence.
Multi-dimensional data the most according to claim 6 analyzes system, it is characterised in that described training is raw
Become unit, specifically for:
From multiple described data sources, the doctor generated for analytical data source is trained in conjunction with health Medicine standard
Treat java standard library.
Multi-dimensional data the most according to claim 6 analyzes system, it is characterised in that described clinical doctor
Treat diagnostic message and include prescription information and medical image.
Multi-dimensional data the most according to claim 6 analyzes system, it is characterised in that described data source
It is stored in Cloud Server；
Described data extracting unit, including:
Data allocation module, uses medical standard storehouse to carry out for described data source is assigned to multiple stage computer
Data are extracted；
Data extraction module, for from each data source extract at least two have logical relation dimension and
Corresponding dimension values.
Multi-dimensional data the most according to claim 6 analyzes system, it is characterised in that described clinical doctor
Treating diagnostic message is the clinical treatment diagnostic message produced during clinical trial.
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| CN107273698A (en) * | 2017-07-06 | 2017-10-20 | 武靖 | The processing in artificial intelligence training standard storehouse and detection method, system |
| CN109597827A (en) * | 2018-11-09 | 2019-04-09 | 金色熊猫有限公司 | Medical data processing method and processing device, storage medium, electronic equipment |
| CN110837859A (en) * | 2019-11-01 | 2020-02-25 | 越亮传奇科技股份有限公司 | Tumor fine classification system and method fusing multi-dimensional medical data |
| WO2020077840A1 (en) * | 2018-10-15 | 2020-04-23 | 平安科技（深圳）有限公司 | Method and apparatus for processing medical data |
| CN112002393A (en) * | 2020-07-22 | 2020-11-27 | 上海市第六人民医院 | Hospital information management system and method |
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