CN114429806A - Medical data testing method and device, storage medium and equipment - Google Patents

Medical data testing method and device, storage medium and equipment Download PDF

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CN114429806A
CN114429806A CN202111668259.XA CN202111668259A CN114429806A CN 114429806 A CN114429806 A CN 114429806A CN 202111668259 A CN202111668259 A CN 202111668259A CN 114429806 A CN114429806 A CN 114429806A
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data
tested
initial
test
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邱涛
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Yidu Cloud Beijing Technology Co Ltd
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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/22Indexing; Data structures therefor; Storage structures
    • G06F16/2228Indexing structures
    • G06F16/2246Trees, e.g. B+trees
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2455Query execution
    • G06F16/24564Applying rules; Deductive queries
    • G06F16/24566Recursive queries
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/25Integrating or interfacing systems involving database management systems
    • G06F16/258Data format conversion from or to a database
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/26Visual data mining; Browsing structured data

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  • General Physics & Mathematics (AREA)
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Abstract

The invention discloses a medical data testing method, a device, equipment and a computer readable storage medium, wherein the method comprises the following steps: acquiring initial data to be tested, wherein the data format of the initial data is a first format; converting the initial data into tree structure data; testing and confirming through the tree structure data to obtain confirmed data to be tested; and performing data test according to the confirmed data to be tested. Therefore, the data to be tested is converted into visual and editable structured data, so that the checking and modifying time of test operators on the test data is effectively reduced, and the test efficiency and the test accuracy are effectively improved.

Description

Medical data testing method and device, storage medium and equipment
Technical Field
The invention relates to the technical field of intelligent medical records, in particular to a medical data testing method, a medical data testing device, a computer-readable storage medium and computer-readable equipment.
Background
With the development of computer and internet technologies, medical informatization has been greatly developed, and thus, the data production and processing quality directly determines the reliability of data medical intelligent application. In the data production and processing quality process, testing the indexes and matching rules of data quality detection is a very important link.
At present, the data quality control rule is mainly tested and modified in a mode of directly obtaining a test text and editing and modifying data in a text box. Therefore, it is necessary to judge whether the matching rule is correctly set for each field one by one through a manual checking method, and further test the data quality control rule. The method adopts a direct editing text form to edit a large amount of data with structures such as JSON (JavaScript Object Notation), and as shown in FIG. 1, whether an editing position is correct or not and a format is correct or not needs to be confirmed, if the data is in an array form, the positions of array nodes need to be determined by the user when the data is added or deleted, and the starting position and the ending position of the corresponding nodes are searched for to carry out adding or deleting operation. In addition, if the data of a certain data node is completely deleted, the data of one data node needs to be copied from other places, and the position of the data node needs to be confirmed again. Therefore, the existing method for testing the quality control rule consumes a large amount of manpower and is easy to make mistakes.
Disclosure of Invention
In order to solve the above problems, embodiments of the present invention creatively provide a medical data testing method, device, computer-readable storage medium, and apparatus.
According to a first aspect of the present invention, there is provided a medical data testing method, the method comprising: acquiring initial data to be tested, wherein the data format of the initial data is a first format; converting the initial data into tree structure data; testing and confirming through the tree structure data to obtain confirmed data to be tested; and performing data test according to the confirmed data to be tested.
According to an embodiment of the present invention, converting the initial data into tree structure data includes: analyzing the initial data by using a recursive algorithm to obtain initial analysis data; and performing interface rendering on the initial analysis data to obtain tree structure data.
According to an embodiment of the present invention, the analyzing the initial data by using a recursive algorithm to obtain tree structure data includes: judging the data types of a plurality of subdata of the initial data; and under the condition that the subdata is judged to be of the data type array, marking the parent node of the subdata as a root node.
According to an embodiment of the present invention, the performing test validation through the tree structure data to obtain validated data to be tested includes: displaying the data to be tested shown by the tree structure data; and receiving a modification or confirmation instruction of the data to be tested to obtain the confirmed data to be tested.
According to an embodiment of the present invention, the performing data testing according to the confirmed data to be tested includes: receiving a data test request for testing by using the confirmed data to be tested; responding to the data test request, and converting the data to be tested after confirmation into test request data in a first format; and testing the test request data according to the test request data to obtain a data test result.
According to an embodiment of the present invention, the acquiring initial data to be tested includes: acquiring the initial data to be tested through an index interface for marking historical existing data; or, the initial data to be tested is obtained through user input.
According to an embodiment of the present invention, the first format is a JSON format or an XML format.
According to a second aspect of the present invention, there is also provided a medical data testing device, the device comprising: the device comprises an acquisition module, a data processing module and a data processing module, wherein the acquisition module is used for acquiring initial data to be tested, and the data format of the initial data is a first format; the conversion module is used for converting the initial data into tree structure data; the rule confirmation module is used for carrying out test confirmation through the tree structure data to obtain confirmed data to be tested; and the test module is used for carrying out data test according to the confirmed data to be tested.
According to a third aspect of the present invention, there is also provided a computer apparatus comprising: memory, processor and computer program stored on the memory and executable on the processor, characterized in that the processor implements the medical data testing method as described above when executing the program.
According to a fourth aspect of the present invention, there is also provided a storage medium containing computer executable instructions for performing the medical data testing method as described above when executed by a computer processor.
The embodiment of the invention provides a medical data testing method, a device, equipment and a computer readable storage medium, wherein the method comprises the following steps: acquiring initial data to be tested, wherein the data format of the initial data is a first format; converting the initial data into tree structure data; testing and confirming through the tree structure data to obtain confirmed data to be tested; and performing data test according to the confirmed data to be tested. Therefore, the data to be tested is converted into visual and editable structured data, so that the checking and modifying time of test operators on the test data is effectively reduced, and the test efficiency and accuracy are effectively improved.
It is to be understood that the teachings of the present invention need not achieve all of the above-described benefits, but rather that specific embodiments may achieve specific technical results, and that other embodiments of the present invention may achieve benefits not mentioned above.
Drawings
The above and other objects, features and advantages of exemplary embodiments of the present invention will become readily apparent from the following detailed description read in conjunction with the accompanying drawings. Several embodiments of the invention are illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings and in which:
in the drawings, the same or corresponding reference numerals indicate the same or corresponding parts.
FIG. 1 shows a schematic illustration of a prior art presentation interface for medical data testing;
fig. 2 is a schematic flow chart illustrating an implementation of a medical data testing method according to an embodiment of the present invention;
fig. 3 illustrates a display interface for test data in a medical data testing method according to an embodiment of the present invention;
FIG. 4 is a schematic diagram illustrating a component structure of a medical data testing device according to an embodiment of the present invention;
fig. 5 is a schematic diagram illustrating a structure of a device according to an embodiment of the present invention.
Detailed Description
The principles and spirit of the present invention will be described with reference to a number of exemplary embodiments. It is understood that these embodiments are given only to enable those skilled in the art to better understand and to implement the present invention, and do not limit the scope of the present invention in any way. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
The technical solution of the present invention is further elaborated below with reference to the drawings and the specific embodiments.
Firstly, the application scenario of the invention is briefly described, and the medical data testing method provided by the embodiment of the invention can be applied to testing the quality control matching rule of the intelligent medical record in the medical field. For example, in the content displayed on the medical record home page of the intelligent medical record quality control system, basic information of a patient or a family member needs to be filled, and the data format of a certain data field, whether filling is required, multi-box selection, check box selection or parameter range of input content and the like are limited in the filling process. In a certain data table, the set input field is marked with a designated color such as light pink or other color, and the input field is shown as a must-fill input field, and if the user does not fill in the input field completely, a reminder message similar to "XX message cannot be empty" is shown for the must-fill input field of the content that is not input, for example: the following may be prompted by a black pop-up: native city cannot be empty or "-". Quality control rules need to be tested since the rules may also be written or set incorrectly. The medical data testing method provided by the embodiment of the invention is applied to testing the configured quality control rule and confirming whether the configured quality control rule is accurate.
It should be noted that the description of the application scenario of the medical data testing method according to the embodiment of the present invention is only an exemplary description, but in the actual application process, the medical data testing method may also be applied to other applicable scenarios. In the following description of the medical data testing method, the testing of the quality control rule is described as an example, which is only for the purpose of more clearly describing the scheme, and is not used to limit the specific application scenario of the scheme.
Fig. 2 is a schematic flow chart illustrating an implementation of a medical data testing method according to an embodiment of the present invention.
Referring to fig. 2, a medical data testing method according to an embodiment of the present invention at least includes the following operation flows: operation 201, acquiring initial data to be tested, where a data format of the initial data is a first format; operation 202, converting the initial data into tree structure data; operation 203, performing test confirmation through the tree structure data to obtain the confirmed data to be tested; and operation 204, performing data test according to the data to be tested after the confirmation.
In operation 201, initial data to be tested is obtained, and the data format of the initial data is a first format.
Here and in the following, operations 202-204 are described in conjunction with the presentation interface for test data in the medical data testing method shown in FIG. 3.
In this embodiment of the present invention, the initial data input through the data may be acquired, and the initial data may also be acquired through an index interface that marks historical existing data.
For example, referring to fig. 3, the edited data of the quality control rule may be input to the uppermost input field on the right side of fig. 3, and the "use default data" button may be clicked to obtain the initial data of the quality control rule as the initial data for testing the quality control rule.
It is also possible to obtain already existing quality control rule data by clicking "use vid (index for marking historical existing data) interface data" and generate the obtained data into initial data, and the initial data of the quality control rule at this time may also be shown in the uppermost right input field in fig. 3.
In this embodiment of the present invention, the first format may be a JSON format or an XML format.
If the first format is an XML format, it is necessary to convert the initial data in the XML format into initial data in the JSON format.
In operation 202, the initial data is converted into tree structured data.
The tree structure data is in a data structure form which is visualized and can be edited. In this embodiment of the present invention, a recursive algorithm may be used to analyze the initial data to obtain initial analysis data, and perform interface rendering on the initial analysis data to obtain tree structure data.
In this embodiment of the present invention, a plurality of subdata of the initial data are subjected to data type determination; and under the condition that the data type of the subdata is judged to be the array, marking the parent node of the subdata as a root node.
For example, by clicking the "convert" button in fig. 3, the initial data obtained in operation 201 may be parsed using a recursive algorithm. The embodiment of the invention is also provided with object, protocol, tostring, call (obj) to judge the data type of the data in the quality control rule, if the data is Array, further judgment is carried out, and the parent node of the Array is marked as the Array node so as to be convenient for adding and deleting the nodes. Meanwhile, the copied default node data of the same level is output to facilitate the addition of nodes, and the copied default node data is directly added under the condition that the nodes need to be added. Here, data may be copied using clonedep (deep copy function) of lodashh (javascript native library), child node data may be recursively decided if it is Object, and a flag type may be corresponded to distinguish the type of an input box if it is basic type data. Thus, the initial structure data can be analyzed to obtain initial analysis data. The initial analysis data is tree structure data used by an el-tree component of the element-ui.
The embodiment of the invention is also provided with an el-tree component of a tool element-ui for interface rendering, and the initial analysis data is rendered. Specifically, the initial analysis data obtained by conversion is transmitted to an el-tree of the element-ui, and a corresponding structure is rendered. The data type of the initial parsing data obtained by conversion can be used for judgment, the Vue frame is used for building the page, and Vue related technical frame contents can be used. When an el-tree component is used, according to whether the data type determined in the process of converting the initial data into the tree structure data is an array or a basic type, that is, whether the data of each node in the initial data has an inner layer of object and an outer layer of array as an array type, the object in the array can be added at the outer layer of the array, or the object data of the inner layer of the array can be deleted. Therefore, the addition and deletion of the array internal data can be carried out according to the condition that the data of each node in the initial data is the inner layer object and the outer layer is array. In addition, in the basic data type presentation process, the subcomponent type is identified by using the component default component of Vue for existing judgment, and the subcomponent type is identified as an input box of each type such as text, number, array, and the like, so that the quality control rule is extended later.
In operation 203, a test validation is performed through the tree structure data, and the data to be tested after validation is obtained.
In this embodiment of the present invention, the data to be tested after the validation is obtained by displaying the data to be tested shown by the tree structure data and receiving a modification or validation instruction for the data to be tested.
For example, the quality control rule is converted into tree structure data having a high visualization effect as shown in the left side of fig. 3 through operation 202. Here, the quality control rules may be edited and modified based on the tree structure data shown on the left side of fig. 3, for example: rules can be added or deleted, content types such as texts, numbers or arrays of the input box can be modified, whether the input box is an input money limit which needs to be filled in or not can be modified, and the like.
In operation 204, a data test is performed according to the data to be tested after the confirmation.
In this embodiment of the present invention, a data test request for performing a test using the confirmed data to be tested may be received, the confirmed data to be tested is converted into test request data in the first format in response to the data test request, and the test request data is tested according to the test request data to obtain a data test result.
Specifically, the "test with structure data" button shown at the bottom of the right side of fig. 3 may be clicked, so that the edited and confirmed quality control structure data shown at the left side of fig. 3 may be converted into the test request data in the first format by using a recursive algorithm, and the test request data may be displayed in the data display column "request data" in the middle of the right side of fig. 3. And testing the quality control rule according to the test request data to obtain a data test result. The data test results may be presented in the data display column "test results" at the lower right-hand end of fig. 3.
In this embodiment of the present invention, the setting form for displaying the initial data, the initial structure data, the quality control structure data, and the test result may be a display form as shown in fig. 3, where the initial structure data and the quality control structure data are displayed in a tree structure on the left side of the display interface, the initial data is displayed on the upper end of the right side, the data test request data obtained by converting the quality control structure data is displayed in the middle of the right side, and the test result is displayed on the lower end of the right side. And, the user can select to pass through by clicking a 'use default data button' configured at the upper right end of the display interface.
The embodiment of the invention provides a medical data testing method, a device, equipment and a computer readable storage medium, wherein the method comprises the following steps: acquiring initial data to be tested, wherein the data format of the initial data is a first format; converting the initial data into tree structure data; performing test confirmation through the tree structure data to obtain confirmed data to be tested; and performing data test according to the confirmed data to be tested. Therefore, the quality control rule is converted into visual and editable structured data, so that the checking and modifying time of test operators on the test data is effectively reduced, and the test efficiency and the test accuracy are effectively improved.
Fig. 4 shows an embodiment of the medical data testing device of the present invention. The apparatus of this embodiment is a physical apparatus for performing the methods of FIGS. 1-3. The technical solution is essentially the same as that in the above embodiment, and the corresponding description in the above embodiment is also applicable to this embodiment. Referring to fig. 4, an embodiment of the present invention provides a medical data testing device, and the device 40 includes: an obtaining module 401, configured to obtain initial data to be tested, where a data format of the initial data is a first format; a conversion module 402, configured to convert the initial data into tree structure data; a data confirmation module 403, configured to perform test confirmation through the tree structure data to obtain data to be tested after confirmation; and the testing module 404 is configured to perform data testing according to the confirmed data to be tested.
According to an embodiment of the present invention, the conversion module 402 comprises: the analysis submodule is used for analyzing the initial data by using a recursive algorithm to obtain initial analysis data; and the rendering submodule is used for performing interface rendering on the initial analysis data to obtain tree structure data.
According to an embodiment of the present invention, the parsing submodule parses the initial data using a recursive algorithm to obtain tree structure data, including: judging the data types of a plurality of subdata of the initial data; and under the condition that the subdata is judged to be of the array type, marking the parent node of the subdata as a root node.
According to an embodiment of the present invention, the data confirmation module 403 includes: the display submodule is used for displaying the to-be-tested data shown by the tree structure data; and the confirmation submodule is used for receiving a modification or confirmation instruction of the data to be tested and obtaining the confirmed data to be tested.
According to an embodiment of the present invention, the test module 404 includes: the request receiving submodule is used for receiving a data test request for testing by using the confirmed data to be tested; the conversion submodule is used for responding to a data test request and converting the confirmed data to be tested into test request data in a first format; and the test submodule is used for testing the test request data according to the test request data to obtain a data test result.
According to an embodiment of the present invention, the obtaining module 401 includes: the first acquisition submodule is used for acquiring initial data to be tested through an index interface for marking historical existing data; or the second obtaining submodule is used for obtaining initial data to be tested through user input.
According to an embodiment of the invention, the first format is a JSON format or an XML format.
Fig. 5 is a schematic structural diagram of an apparatus according to an embodiment of the present invention. On the hardware level, the device comprises a processor and optionally an internal bus, a network interface and a memory. The Memory may include a Memory, such as a Random-Access Memory (RAM), and may further include a non-volatile Memory, such as at least 1 disk Memory. Of course, the device may also include hardware required for other services.
The processor, the network interface, and the memory may be connected to each other via an internal bus, which may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 5, but this does not indicate only one bus or one type of bus.
And the memory is used for storing the execution instruction. In particular, a computer program that can be executed by executing instructions. The memory may include both memory and non-volatile storage and provides execution instructions and data to the processor.
In a possible implementation manner, the processor reads the corresponding execution instructions from the nonvolatile memory into the memory and then executes the corresponding execution instructions, and corresponding execution instructions can also be obtained from other equipment so as to form the medical data testing device on a logic level. The processor executes the execution instructions stored in the memory, so that the medical data testing method provided by any embodiment of the invention is realized through the executed execution instructions.
The method performed by the medical data testing device according to the embodiment of the invention shown in fig. 4 can be applied to or implemented by a processor. The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software. The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and completes the steps of the method in combination with hardware of the processor.
An embodiment of the present invention further provides a readable storage medium, which stores an execution instruction, and when the stored execution instruction is executed by a processor of an electronic device, the electronic device can be caused to execute the medical data testing method provided in any embodiment of the present invention, and is specifically configured to execute the method shown in fig. 1 to 3.
The electronic device in the foregoing embodiments may be a computer.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects.
The embodiments of the present invention are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, as for the apparatus embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
The above are merely examples of the present invention, and are not intended to limit the present invention. Various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.

Claims (10)

1. A medical data testing method, characterized in that the method comprises:
acquiring initial data to be tested, wherein the data format of the initial data is a first format;
converting the initial data into tree structure data;
testing and confirming through the tree structure data to obtain confirmed data to be tested;
and performing data test according to the confirmed data to be tested.
2. The method of claim 1, wherein transforming the initial data into tree structured data comprises:
analyzing the initial data by using a recursive algorithm to obtain initial analysis data;
and performing interface rendering on the initial analysis data to obtain tree structure data.
3. The method of claim 2, wherein the parsing the initial data using a recursive algorithm to obtain tree-structured data comprises: judging the data types of a plurality of subdata of the initial data;
and under the condition that the subdata is judged to be of the data type array, marking the parent node of the subdata as a root node.
4. The method of claim 1, wherein the performing test validation through the tree structure data to obtain the data to be tested after validation comprises:
displaying the data to be tested shown by the tree structure data;
and receiving a modification or confirmation instruction of the data to be tested to obtain the confirmed data to be tested.
5. The method of claim 1, wherein the data testing according to the data to be tested after the confirmation comprises:
receiving a data test request for testing by using the confirmed data to be tested;
responding to the data test request, and converting the confirmed data to be tested into test request data in a first format;
and testing the test request data according to the test request data to obtain a data test result.
6. The method of claim 1, wherein said obtaining initial data to be tested comprises:
acquiring the initial data to be tested through an index interface for marking historical existing data; or,
and acquiring the initial data to be tested through user input.
7. The method according to any one of claims 1-6, wherein the first format is a JSON format or an XML format.
8. A medical data testing device, characterized in that the device comprises: the device comprises an acquisition module, a data processing module and a data processing module, wherein the acquisition module is used for acquiring initial data to be tested, and the data format of the initial data is a first format;
the conversion module is used for converting the initial data into tree structure data;
the rule confirmation module is used for carrying out test confirmation through the tree structure data to obtain confirmed data to be tested;
and the test module is used for carrying out data test according to the confirmed data to be tested.
9. A computer device, comprising: memory, processor and computer program stored on the memory and executable on the processor, characterized in that the processor implements the medical data testing method according to any of claims 1-7 when executing the program.
10. A storage medium containing computer executable instructions for performing the medical data testing method of any one of claims 1-7 when executed by a computer processor.
CN202111668259.XA 2021-12-31 2021-12-31 Medical data testing method and device, storage medium and equipment Pending CN114429806A (en)

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Citations (2)

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Publication number Priority date Publication date Assignee Title
CN112559606A (en) * 2019-09-26 2021-03-26 北京国双科技有限公司 Conversion method and conversion device for JSON format data
CN112860549A (en) * 2021-01-29 2021-05-28 北京邮电大学 Method and device for obtaining test sample

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112559606A (en) * 2019-09-26 2021-03-26 北京国双科技有限公司 Conversion method and conversion device for JSON format data
CN112860549A (en) * 2021-01-29 2021-05-28 北京邮电大学 Method and device for obtaining test sample

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