CN112382396A - Medical instrument data visualization analysis system and method - Google Patents
Medical instrument data visualization analysis system and method Download PDFInfo
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- CN112382396A CN112382396A CN202011301982.XA CN202011301982A CN112382396A CN 112382396 A CN112382396 A CN 112382396A CN 202011301982 A CN202011301982 A CN 202011301982A CN 112382396 A CN112382396 A CN 112382396A
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- 238000004458 analytical method Methods 0.000 title claims abstract description 31
- 238000013079 data visualisation Methods 0.000 title claims abstract description 28
- 238000000034 method Methods 0.000 title claims abstract description 11
- 238000002372 labelling Methods 0.000 claims abstract description 16
- 238000006243 chemical reaction Methods 0.000 claims abstract description 10
- 230000000007 visual effect Effects 0.000 claims abstract description 10
- 238000004140 cleaning Methods 0.000 claims abstract description 8
- 238000004364 calculation method Methods 0.000 claims description 10
- 238000005516 engineering process Methods 0.000 claims description 9
- 238000012545 processing Methods 0.000 claims description 8
- 230000010354 integration Effects 0.000 claims description 6
- 238000013480 data collection Methods 0.000 claims description 5
- 238000012986 modification Methods 0.000 claims description 4
- 230000004048 modification Effects 0.000 claims description 4
- 238000012360 testing method Methods 0.000 claims description 4
- 238000011156 evaluation Methods 0.000 claims description 3
- 238000007405 data analysis Methods 0.000 abstract description 5
- 238000003066 decision tree Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- PCHJSUWPFVWCPO-UHFFFAOYSA-N gold Chemical compound [Au] PCHJSUWPFVWCPO-UHFFFAOYSA-N 0.000 description 2
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- 238000011835 investigation Methods 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 238000012954 risk control Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/50—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
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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
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/903—Querying
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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
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/904—Browsing; Visualisation therefor
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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
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/906—Clustering; Classification
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
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Abstract
The invention discloses a system and a method for visually analyzing medical instrument data, and belongs to the technical field of medical instrument data analysis. The data visualization analysis system comprises a medical instrument big data platform, a label management platform and an upper application layer, wherein the medical instrument big data platform is connected with the label management platform, the medical instrument big data platform finishes the acquisition, cleaning, conversion, matching and collection of medical instrument data, transmits the medical instrument data to the label management platform, the label management platform marks the medical instrument data, carries out labeling treatment on the collected medical instrument data to form a label library and finishes the management of labels; the upper application layer is connected with the label management platform through a label calling interface, and the medical instrument data of the user is displayed by adopting the visual portrait. The data visualization analysis system can quickly construct a label system of the medical instrument industry, provides differentiated services for users, enables risk management and control of medical instrument departments to be more targeted, and has good popularization and application values.
Description
Technical Field
The invention relates to the technical field of medical instrument data analysis, and particularly provides a system and a method for visually analyzing medical instrument data.
Background
With the continuous progress of society, the rapid development of social economy also drives the continuous progress of various scientific technologies. The computer has the advantages of large amount of stored information, convenience and quickness in obtaining information by a user and the like, and is widely applied. In particular, in recent years, with the further development of society and economy, the application field of computers has been gradually expanded, and computers have been widely used in various fields. The application of the computer in the medical instrument is more and more extensive, and the appearance of the computer brings much convenience to the data analysis of the medical instrument.
However, with the popularization of the three-phase project of the gold tax and the establishment of a large data platform of medical instruments, the standard and the caliber of the national levy management data are unified, the large concentration of the national levy management data is realized, the three-phase project of the gold tax adopts a mode of 'application provincial concentration, production data province falling to the ground and then concentrating to the general bureau', and a third-party information sharing mechanism is established, so that the information of the medical instruments of the user can be mastered completely and accurately in real time.
In a currently-operated user data analysis system, user data is often simply and centrally displayed, and most of the display modes are tables and charts, which causes many defects of stiff analysis scene, large analysis workload, non-intuitive display mode, no relevance of display content and the like.
How to fully utilize the data from each business system, how to more accurately know the medical instrument information of the user, more accurately serve the user, more finely manage the user, and fully exert the advantages of the data to reflect the information of the user such as the operating condition, the integrity record, the medical instrument risk, the use habit and the like, so that the problem of urgent need to be solved is to develop differential use service, fine tax fund management and targeted risk control for medical instrument departments.
Disclosure of Invention
The technical task of the invention is to provide a data visualization analysis system which can quickly construct a label system of the medical instrument industry, provide differentiated services for users and enable risk management and control of medical instrument departments to be more targeted, aiming at the existing problems.
The invention further aims to provide a medical instrument data visualization analysis method.
In order to achieve the purpose, the invention provides the following technical scheme:
a medical instrument data visualization analysis system is based on a labeling technology and comprises a medical instrument big data platform, a label management platform and an upper application layer, wherein the medical instrument big data platform is connected with the label management platform, the medical instrument big data platform finishes acquisition, cleaning, conversion, matching and collection of medical instrument data, transmits the medical instrument data to the label management platform, the label management platform labels the medical instrument data, performs labeling processing on the collected medical instrument data to form a label library and finishes management on labels; the upper application layer is connected with the label management platform through a label calling interface, and displays medical instrument data of a user by adopting a visual portrait in combination with a label processed by the label management platform.
The bottom layer of the medical instrument data visualization analysis system depends on a medical instrument big data platform, the medical instrument big data platform finishes the collection, cleaning, conversion, matching and collection of medical instrument data according to the quality, quantity and specific requirements of medical instrument data collection, and the processed medical instrument data can be more conveniently subjected to labeling processing. On the basis of a medical instrument big data platform, a label management platform is set up and mainly used for managing labels, centralized medical instrument data can be subjected to labeling processing through the label management platform, related medical instrument data are periodically scanned in combination with business requirements, the medical instrument data are subjected to labeling processing according to label definitions, and finally a label library is formed and stores not only the definitions of the labels but also scanning result data of the labels. And the upper application layer calls the label data through a label calling interface opened outside by the label management platform and displays the label data in a visual mode.
Preferably, the management of the tag includes creation, modification, auditing, publishing, evaluation and offline of the tag.
Preferably, the creation of the label provides an entrance for business personnel to create the label by themselves; modifying the label to modify and adjust the label rule according to the actual service requirement; the label examination and approval function is provided for label examination and approval, and the label passing the examination and approval is issued for use; evaluating the tags, namely evaluating the use frequency and efficiency of the tags; and the label is offline for the label which is not used frequently and is outdated.
Preferably, the label is created in a manner including automatic labeling, manual labeling, and combination labeling.
Preferably, the label rule, i.e. the calculated aperture of the label, includes a data item and a calculation formula.
The label rule is the calculated caliber of the label, including but not limited to data items and calculation formulas.
Preferably, the upper application layer establishes a user classification and grading management system based on the label library, intuitively presents the management and risk states by inquiring labels corresponding to the medical equipment data of the user, and intuitively displays the medical equipment data of the user in a picture form.
After the label is processed, namely the label application stage, a user classification and grading management system is established based on the label library, the investigation and management and risk states are visually presented by inquiring the label corresponding to the medical equipment data of the user, the medical equipment data of the user is organized in a more reasonable mode and is displayed in a more visual mode, and targeted classification management and differentiated services can be developed.
A data visualization analysis method specifically comprises the following steps:
s1: medical instrument data integration: the medical instrument data collection, cleaning, conversion, matching, collection and collection are completed through a medical instrument big data platform;
s2: and (3) behavior modeling: the label management platform carries out behavior modeling on the collected medical instrument data, abstracts out labels, classifies the labels of users and attaches the abstracted labels to corresponding entities;
s3: constructing a system: and the data visualization technology is adopted, the characters and the chart are displayed in a combined mode, and the user information is displayed through the combined label.
Preferably, in step S1, the medical device data integration is divided into medical device internal data, medical device external data, internet data, and daily intelligence data.
Preferably, in step S2, the user tags include a fact tag, a statistical tag, and a prediction tag.
The fact label is a label which describes the basic characteristics of the user and can directly display the social attribute, the operation habit and the use behavior of the user, and is directly extracted from a tax system, external data and internet data acquisition.
The statistical label divides the user into a plurality of categories through simple calculation on the basis of the fact label, and meets the requirement of user classification management. After classification, it is necessary to ensure that the number inside and outside the population has discrimination.
The prediction label is based on a fact label and a statistical label, an application scene is built, modeling analysis such as a decision tree, a regression algorithm, clustering algorithm analysis and the like is introduced, repeated measurement and calculation are carried out by using internal data, external data, internet data and daily information data, then service conversion and refinement are carried out on data rules, and finally the prediction label is formed.
Preferably, in step S2, the behavior characteristics of the user are extracted, and the label is abstracted by iterative and clustering repeated tests in combination with the behavior data of the user.
The general event of film and television, which is emphasized in the behavior modeling stage, is eliminated as much as possible by a mathematical algorithm. The label determination process is to extract the behavior characteristics of the user, repeatedly test through iteration and clustering algorithm, combine the behavior data of the user, and keep the user attributes of the characteristics of each small group after reasonable selection and selection, namely abstract the label. This process requires the label refiner to have an insight into the user's role, and requires project builder and undertaker to do both.
Compared with the prior art, the data visualization analysis method has the following outstanding beneficial effects:
the data visualization analysis method can facilitate business personnel to understand data on one hand, and facilitate a computer to process data on the other hand, so as to realize classification management on users;
secondly, by utilizing a labeling technology, the data analysis and the user are faced with not boring and fussy characters and numbers but visual figures, the expression form is more vivid, and the content is more targeted;
thirdly, by utilizing a labeling technology, the individual requirements of the user can be identified, and differential services are provided for the user, so that the risk control of medical instrument departments is more targeted, and accurate services are provided;
and (IV) by combining the labels, visual display of group commonality characteristics is developed, commonality extraction is carried out, medical instrument personnel can effectively search and know target enterprises, tax risks are monitored more accurately, and the tax risk monitoring system has good popularization and application values.
Detailed Description
The data visualization analysis system and method of the present invention will be described in further detail with reference to the following examples.
Examples
The data visualization analysis system is based on the tagging technology and comprises a medical instrument big data platform, a tag management platform and an upper application layer.
The bottom layer of the data visualization analysis system depends on a medical instrument big data platform, the medical instrument big data platform finishes the collection, cleaning, conversion, matching and collection of medical instrument data according to the quality, quantity and specific requirements of facility data collection, and the processed medical instrument data can be more conveniently subjected to labeling processing.
The label management platform is set up on the basis of the medical instrument big data platform and is connected with the medical instrument big data platform, the label management platform mainly achieves management of labels, centralized medical instrument data can be subjected to labeling processing through the label management platform, related medical instrument data are periodically scanned in combination with business requirements, the medical instrument data are subjected to labeling processing according to label definition, a label library is finally formed, the label library not only stores definition of the labels, but also stores scanning result data of the labels.
The management of the tags includes creation, modification, auditing, publishing, evaluation, and downlinking of the tags. The label creation provides an entrance for business personnel to create labels by themselves, and the label creation mode comprises an automatic label, a manual label and a combined label. The modification of the label is to modify and adjust the label rule according to the actual service requirement, wherein the label rule is the calculation caliber of the label, and the label rule comprises but is not limited to a data item and a calculation formula. The label examination and approval function is provided for label examination and approval, and the label passing the examination and approval is issued for use; evaluating the tags, namely evaluating the use frequency and efficiency of the tags; and the label is offline for the label which is not used frequently and is outdated.
The upper application layer calls label data through a label calling interface opened outside by the label management platform, and displays medical equipment data of a user by adopting a visual portrait in combination with a label processed by the label management platform. The visual representation may include a user representation, a medical instrument personnel representation, a medical instrument department representation, and the like. After the label is processed, namely the label application stage, a user classification and grading management system is established based on the label library, the investigation and management and risk states are visually presented by inquiring the label corresponding to the medical equipment data of the user, the medical equipment data of the user is organized in a more reasonable mode and is displayed in a more visual mode, and targeted classification management and differentiated services can be developed.
The invention relates to a medical instrument data visualization analysis method, which specifically comprises the following steps:
s1: medical instrument data integration: the medical instrument data collection, cleaning, conversion, matching, summarization and collection are completed through a medical instrument big data platform.
The medical instrument data integration is divided into medical instrument internal data, medical instrument external data, internet data and daily information data.
S2: and (3) behavior modeling: and the label management platform performs behavior modeling on the collected medical instrument data, abstracts out labels, classifies the labels of the users and attaches the abstracted labels to corresponding entities.
User tags include fact tags, statistical tags, and predictive tags.
The fact label is a label which describes the basic characteristics of the user and can directly display the social attribute, the operation habit and the use behavior of the user, and is directly extracted from a tax system, external data and internet data acquisition.
The statistical label divides the user into a plurality of categories through simple calculation on the basis of the fact label, and meets the requirement of user classification management. After classification, it is necessary to ensure that the number inside and outside the population has discrimination.
The prediction label is based on a fact label and a statistical label, an application scene is built, modeling analysis such as a decision tree, a regression algorithm, clustering algorithm analysis and the like is introduced, repeated measurement and calculation are carried out by using internal data, external data, internet data and daily information data, then service conversion and refinement are carried out on data rules, and finally the prediction label is formed.
The general event of film and television, which is emphasized in the behavior modeling stage, is eliminated as much as possible by a mathematical algorithm. The label determination process is to extract the behavior characteristics of the user, repeatedly test through iteration and clustering algorithm, combine the behavior data of the user, and keep the user attributes of the characteristics of each small group after reasonable selection and selection, namely abstract the label. This process requires the label refiner to have a deep understanding of the user's role and requires project builder and undertaker to do both.
S3: constructing a system: and the data visualization technology is adopted, the characters and the chart are displayed in a combined mode, and the user information is displayed through the combined label. The construction is based on image, prediction, service and risk.
The above-described embodiments are merely preferred embodiments of the present invention, and general changes and substitutions by those skilled in the art within the technical scope of the present invention are included in the protection scope of the present invention.
Claims (10)
1. A medical instrument data visualization analysis system is characterized in that: the system is based on a labeling technology and comprises a medical instrument big data platform, a label management platform and an upper application layer, wherein the medical instrument big data platform is connected with the label management platform, the medical instrument big data platform finishes the acquisition, cleaning, conversion, matching and collection of medical instrument data, transmits the medical instrument data to the label management platform, the label management platform labels the medical instrument data, performs labeling processing on the collected medical instrument data to form a label library and finishes the management of labels; the upper application layer is connected with the label management platform through a label calling interface, and displays medical instrument data of a user by adopting a visual portrait in combination with a label processed by the label management platform.
2. The medical instrument data visualization analysis system of claim 1, wherein: the management of the tags comprises creation, modification, auditing, release, evaluation and offline of the tags.
3. The medical instrument data visualization analysis system of claim 2, wherein: the creation of the label provides an entrance for business personnel to create the label by self; modifying the label to modify and adjust the label rule according to the actual service requirement; the label examination and approval function is provided for label examination and approval, and the label passing the examination and approval is issued for use; evaluating the tags, namely evaluating the use frequency and efficiency of the tags; and the label is offline for the label which is not used frequently and is outdated.
4. The medical instrument data visualization analysis system of claim 3, wherein: the creation mode of the label comprises an automatic label, a manual label and a combined label.
5. The medical instrument data visualization analysis system of claim 4, wherein: the label rule is the calculation caliber of the label, and comprises a data item and a calculation formula.
6. The medical instrument data visualization analysis system of claim 5, wherein: the upper application layer establishes a user classification and grading management system based on the label library, intuitively presents the levying and management and risk states by inquiring labels corresponding to the medical equipment data of the user, and intuitively displays the medical equipment data of the user in an image form.
7. A medical instrument data visualization analysis method is characterized in that: the method specifically comprises the following steps:
s1: medical instrument data integration: the medical instrument data collection, cleaning, conversion, matching, collection and collection are completed through a medical instrument big data platform;
s2: and (3) behavior modeling: the label management platform carries out behavior modeling on the collected medical instrument data, abstracts out labels, classifies the labels of users and attaches the abstracted labels to corresponding entities;
s3: constructing a system: and the data visualization technology is adopted, the characters and the chart are displayed in a combined mode, and the user information is displayed through the combined label.
8. The medical instrument data visualization analysis method according to claim 7, characterized in that: in step S1, the medical device data integration is divided into medical device internal data, medical device external data, internet data, and daily intelligence data.
9. The medical instrument data visualization analysis method according to claim 8, characterized in that: in step S2, the user tags include a fact tag, a statistical tag, and a prediction tag.
10. The medical instrument data visualization analysis method according to claim 9, characterized in that: in step S2, the behavior characteristics of the user are extracted, and the label is abstracted by iterative and clustering repeated tests in combination with the behavior data of the user.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113190721A (en) * | 2021-05-26 | 2021-07-30 | 长沙迈迪克智能科技有限公司 | Disease control information visual display method, system and storage medium |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113190721A (en) * | 2021-05-26 | 2021-07-30 | 长沙迈迪克智能科技有限公司 | Disease control information visual display method, system and storage medium |
| CN113190721B (en) * | 2021-05-26 | 2022-07-15 | 长沙迈迪克智能科技有限公司 | Disease control information visual display method, system and storage medium |
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Application publication date: 20210219 |