CN115579150A - Method and device for creating disease-specific database, electronic equipment and computer medium - Google Patents
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Abstract
The disclosure relates to a method and a device for creating a special illness database, electronic equipment and a computer readable medium, and belongs to the technical field of data processing. The method comprises the following steps: acquiring a common index based on a plurality of special disease data models and producing full index data; providing a visual interactive configuration interface on a user interface, and generating a special disease data retrieval statement based on special disease configuration information selected by a user on the interactive configuration interface; acquiring patient data of the special diseases from the full index data according to the special disease data retrieval statement; and generating a special disease data set according to the special disease patient data, and creating a corresponding special disease database. According to the method and the system, the common indexes of a plurality of different special disease data models are extracted and layered, the full index data is produced, a visual interactive configuration interface is provided, and the establishing efficiency of the special disease database can be improved. If the user has the requirement of increasing the increment index aiming at the specified special disease database, the corresponding special disease index data can be produced according to the special disease increment index.
Description
Technical Field
The present disclosure relates to the field of data processing technologies, and in particular, to a method and an apparatus for creating a disease-specific database, an electronic device, and a computer-readable medium.
Background
The special disease database is a disease database for scientific research personnel, electronic clinical data accumulated in the past of a hospital are built into a high-quality real world database, and on the basis of the data, an online tool for developing scientific research is integrated, so that the efficiency of data collection, processing and analysis is improved, and the whole process of scientific research is accelerated.
However, when a plurality of special disease databases are respectively built for a plurality of departments of a hospital, each special disease database needs to be structured or logically processed into different indexes/fields from unstructured texts according to different diseases/disciplines, and therefore the creation and implementation of each special disease database needs to go through a lengthy design process including index requirement collection, model design, data processing rule configuration, data processing production, data quality testing, function testing and the like. In actual operation, a large number of repeated basic indexes exist among data models of different diseases/disciplines, and data production is performed on each database independently, so that a certain technical threshold exists, and the database creation efficiency is low.
In view of this, there is a need in the art for a method for creating a disease-specific database, which can reduce the technical threshold for creating the disease-specific database and improve the efficiency for creating the disease-specific database.
It is noted that the information disclosed in the above background section is only for enhancement of understanding of the background of the present disclosure and therefore may include information that does not constitute prior art that is already known to a person of ordinary skill in the art.
Disclosure of Invention
The present disclosure is directed to a method for creating a disease-specific database, a device for creating a disease-specific database, an electronic device, and a computer-readable medium, so as to reduce a technical threshold for creating a disease-specific database at least to a certain extent and improve efficiency of creating a disease-specific database.
According to a first aspect of the present disclosure, there is provided a method for creating a specific illness database, including:
acquiring a common index based on a plurality of special illness data models, and producing full index data according to the common index;
providing a visual interactive configuration interface on a user interface, and generating a corresponding special disease data retrieval statement based on special disease configuration information selected on the interactive configuration interface by a user;
acquiring corresponding special patient data from the full-scale index data according to the special patient data retrieval statement;
and generating a special disease data set according to the special disease patient data, and creating a corresponding special disease database according to the special disease data set.
In an exemplary embodiment of the present disclosure, the producing full scale indicator data according to the common indicator includes:
obtaining a full volume of patient data from a plurality of different data sources and placing the full volume of patient data in a full volume pre-database;
and extracting target full data from the full-scale pre-database according to the public indexes, and performing structural processing on the target full data to obtain structural full-scale index data.
In an exemplary embodiment of the present disclosure, after creating the specific illness database, the method further includes:
acquiring a special disease increment index corresponding to the special disease database, and producing corresponding special disease index data according to the special disease increment index.
In an exemplary embodiment of the present disclosure, the producing corresponding disease-specific index data according to the disease-specific incremental index includes:
acquiring the patient data of the special diseases from the special disease database, and putting the patient data of the special diseases into an increment preposed database;
and extracting target incremental data from the incremental pre-database according to the special disease incremental indexes, and performing structural processing on the target incremental data to obtain structured special disease index data.
In an exemplary embodiment of the disclosure, the generating a corresponding specialist disease data retrieval statement based on specialist disease configuration information selected by a user on the interactive configuration interface includes:
and determining a patient data screening rule based on the special disease configuration information selected by the user on the interactive configuration interface, and generating a corresponding special disease data retrieval statement according to the patient data screening rule.
In an exemplary embodiment of the disclosure, the determining patient data filtering rules based on the specific illness configuration information selected by the user on the interactive configuration interface includes:
determining a corresponding special patient data inclusion rule based on special patient data inclusion configuration, and determining a corresponding special patient data exclusion rule based on special patient data exclusion configuration;
and determining a patient data screening rule according to the special patient data inclusion rule and the special patient data exclusion rule.
In an exemplary embodiment of the present disclosure, the generating a specific disease data set from the specific disease patient data includes:
and adding a special disease label corresponding to the special disease database to the special disease patient data and generating the special disease data set.
According to a second aspect of the present disclosure, there is provided a device for creating a specific illness database, including:
the system comprises a gross data production module, a data acquisition module and a data processing module, wherein the gross data production module is used for acquiring public indexes based on a plurality of special illness data models and producing gross index data according to the public indexes;
the retrieval statement generation module is used for providing a visual interactive configuration interface on a user interface and generating a corresponding special disease data retrieval statement based on special disease configuration information selected on the interactive configuration interface by a user;
the special disease data acquisition module is used for acquiring corresponding special disease patient data from the full-scale index data according to the special disease data retrieval statement;
and the special disease database creating module is used for generating a special disease data set according to the special disease patient data and creating a corresponding special disease database according to the special disease data set.
According to a third aspect of the present disclosure, there is provided an electronic device comprising: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to execute any one of the above-mentioned methods for creating a specialty database via execution of the executable instructions.
According to a fourth aspect of the present disclosure, there is provided a computer readable medium having stored thereon a computer program which, when executed by a processor, implements the method of creating a specialty database as described in any one of the above.
The exemplary embodiments of the present disclosure may have the following advantageous effects:
in the creating method of the special illness database according to the disclosed example embodiment, on one hand, the generation of the retrieval statement is automatically realized by providing a visual interactive configuration interface and according to the special illness configuration information selected by the user on the interactive configuration interface, so that the technical threshold of creating the special illness database can be reduced, the user can autonomously complete the configuration of a data range under the condition of no computer professional background, and the efficiency and the autonomy of creating the special illness database by the user are improved; on the other hand, aiming at the scene of simultaneously building a plurality of special illness databases, a public index layer is formed by extracting public indexes from a plurality of different special illness data models, after data access, the corresponding special illness databases can be created on the basis of the full index data by uniformly and fully producing the full index data corresponding to the public index layer aiming at patients in a whole hospital, so that the repeated work and the redundant data can be reduced, the unnecessary consumption of the storage space can be reduced, the data production efficiency when the plurality of special illness databases are simultaneously built can be improved, and the production implementation cost can be greatly reduced.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure. It should be apparent that the drawings in the following description are merely examples of the disclosure and that other drawings may be derived by those of ordinary skill in the art without inventive effort.
FIG. 1 shows a flow diagram of a method of creating a specialty database of an example embodiment of the present disclosure;
FIG. 2 illustrates a flow diagram of an example embodiment of the present disclosure for producing full scale metric data from a common metric;
FIG. 3 schematically illustrates a block flow diagram of full scale indicator data production, according to one embodiment of the present disclosure;
FIG. 4 schematically illustrates an interface display of an interaction configuration interface, according to a particular embodiment of the present disclosure;
FIG. 5 illustrates a flow diagram of a method for creating a patient-specific database in accordance with one embodiment of the present disclosure;
fig. 6 shows a block diagram of a creating apparatus of a specialty database of an example embodiment of the present disclosure;
FIG. 7 illustrates a schematic structural diagram of a computer system suitable for use in implementing the electronic device of an embodiment of the present disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the subject matter of the present disclosure can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and the like. In other instances, well-known technical solutions have not been shown or described in detail to avoid obscuring aspects of the present disclosure.
Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus their repetitive description will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.
The creation of a patent database requires the processing and production of data based on patient data specified by a patient's nauplicate. In some related embodiments, the data production scope is defined by the developer translating the nanoelements provided by the medical workers into database search statements, such as SQL (Structured Query Language) search statements, noSQL (Not Only SQL, non-relational database) search statements, etc., and then querying and extracting the corresponding patient data from the database of the original medical system through the database search statements. If the query is directly carried out in the original database through a professional database retrieval statement, the conditions that the translation is inaccurate and the repeated adjustment is needed often exist. The operation of the method has a technical threshold, and the method has no operability for users who are not related to computer specialization. Therefore, the labor is mainly replaced by a technical team of a big data company, and the autonomy of the user is not strong.
On the other hand, the data processing production process of each special disease database comprises the production processes of index requirement collection, model design, data processing rule configuration, data processing production, data quality test, function test and the like. Some fields shared by a plurality of special disease databases need to go through the whole production process repeatedly, so that not only is time and labor consumed, but also data redundancy is caused, and unnecessary consumption of storage space is increased.
For example, the index of the 'positive symptom' is a common index, the index is contained in both the database of the 'special hypertension disease' and the database of the 'special coronary heart disease', but the overlapping proportion of the hypertension group and the coronary heart disease group is large, so that the index can be produced in both the two databases aiming at the overlapped part of patients, the data redundancy is caused, and the repeated labor cost and time cost are consumed.
In view of the above problems, the present exemplary embodiment first provides a method of creating a specific illness database. Referring to fig. 1, the method for creating the specific illness database may include the following steps:
and S110, acquiring a public index based on the plurality of special disease data models, and producing full index data according to the public index.
And S120, providing a visual interactive configuration interface on the user interface, and generating a corresponding special disease data retrieval statement based on the special disease configuration information selected by the user on the interactive configuration interface.
And S130, acquiring corresponding patient data of the special diseases from the full-scale index data according to the special disease data retrieval statement.
And S140, generating a special disease data set according to the special disease patient data, and creating a corresponding special disease database according to the special disease data set.
In the creating method of the special illness database according to the exemplary embodiment of the disclosure, on one hand, the generation of the search statement is automatically realized by providing the visual interactive configuration interface and according to the special illness configuration information selected by the user on the interactive configuration interface, so that the technical threshold of creating the special illness database can be reduced, the user can autonomously complete the configuration of the data range without the professional background of a computer, and the efficiency and the autonomy of creating the special illness database by the user are improved; on the other hand, aiming at the scene of simultaneously building a plurality of special illness databases, a public index layer is formed by extracting public indexes from a plurality of different special illness data models, after data access, the corresponding special illness databases can be created on the basis of the full index data by uniformly and fully producing the full index data corresponding to the public index layer aiming at patients in a whole hospital, so that the repeated work and the redundant data can be reduced, the unnecessary consumption of the storage space can be reduced, the data production efficiency when the plurality of special illness databases are simultaneously built can be improved, and the production implementation cost can be greatly reduced.
The above steps of the present exemplary embodiment will be described in more detail with reference to fig. 2 to 5.
In step S110, a common index is acquired based on the plurality of specific disease data models, and the full-scale index data is produced according to the common index.
In the creation of the database of the specific diseases, the processing and production of the data are the most time-consuming and labor-consuming. Therefore, how to improve the efficiency of data production is the key to improve the experience of the special disease database and the key to optimize the implementation cost.
In the embodiment of the example, an optimization scheme of a data production mode is provided for a scene in which a plurality of special disease databases are simultaneously built in a hospital. The existing special disease data models are layered, the public indexes in each special disease data model are extracted to serve as a public index layer of the model, and after data access, the total index data corresponding to the public index layer are firstly produced for patients in a whole hospital.
The common index refers to an index which is not specific to a specific disease/subject, has consistent processing logic in different models and is universal.
For example, the "positive symptom" index is used as a common index, and the index is included in both the "hypertension-specific disease database" and the "coronary heart disease-specific disease database". The repeated and combinable tasks in the data production process of the special disease databases are combined in a layered mode, common indexes are extracted from the special disease data models, full index data are produced according to the common indexes, and a plurality of different special disease databases are established on the basis of the full index data, so that the overall efficiency can be improved, and the production cost can be reduced.
In this exemplary embodiment, as shown in fig. 2, the producing the full-scale index data according to the common index may specifically include the following steps:
step S210, acquiring full-volume patient data from a plurality of different data sources, and putting the full-volume patient data into a full-volume prepositive database.
FIG. 3 schematically illustrates a block flow diagram of full scale indicator data production, according to one embodiment of the present disclosure. In data production, first, the full amount of patient data to be processed is obtained from a plurality of heterogeneous data sources, such as HIS (Hospital Information System), LIS (Laboratory Information Management System) and some unstructured data sources, and is put into a full amount pre-database as backup data after data synchronization for the production of full amount index data.
And S220, extracting target full data from the full pre-database according to the public indexes, and performing structural processing on the target full data to obtain structural full index data.
And extracting target full data from the full pre-database according to the public indexes, and obtaining structured full index data after data mapping, data cleaning, data analysis, data enhancement and structural processing. And during data processing, data processing indexes such as data loss rate and the like can be monitored through data quality control and difference analysis, so that the quality of the generated full index data is ensured.
On the basis of the total index data of the whole hospital, hospital users can be supported to self-inquire patient data meeting the conditions so as to create a corresponding special illness database.
In step S120, a visualized interactive configuration interface is provided on the user interface, and a corresponding disease data retrieval statement is generated based on the disease configuration information selected by the user on the interactive configuration interface.
In this example embodiment, a visual interactive configuration interface may be provided on the user interface, the patient data screening rule may be determined based on the specific disease configuration information selected by the user on the interactive configuration interface, and the corresponding specific disease data retrieval statement may be generated according to the patient data screening rule.
In determining the patient data screening rules, the corresponding special patient data inclusion rules may be determined based on the special patient data inclusion configuration, the corresponding special patient data exclusion rules may be determined based on the special patient data exclusion configuration, and then the patient data screening rules may be determined according to the special patient data inclusion rules and the special patient data exclusion rules. The patient data inclusion rule refers to a data range screening rule included in patient data for a patient with a specific disease to be acquired, for example, patient data for a patient with a coronary heart disease who is 60 years old or older. The special patient data exclusion rule refers to a data range screening rule that needs to be excluded from special patient data to be acquired, for example, patient data with hypertension needs to be excluded.
FIG. 4 schematically illustrates an interface display of an interaction configuration interface according to one embodiment of the present disclosure. The interactive configuration interface can comprise an inclusion standard selection interface and an exclusion standard selection interface, and the number of people who are accommodated and arranged corresponding to the condition can be displayed between each condition selection frame.
A user selects corresponding screening conditions through the setting of the conditional tree nano-arrangement rules on a visual interactive configuration interface, and after a value range is set, the rules are associated through logics such as 'and'/'or' logic and 'same medical record'/'same report'/'same patient' and the like, so that the patient data screening rules are determined. And then, by utilizing an automatic generation technology of the search sentences, after the user autonomously completes the configuration of the patient data screening rules, the automatic generation of the special disease data search sentences is realized.
In step S130, corresponding patient-specific data is acquired from the full-scale index data according to the patient-specific data search statement.
In the present exemplary embodiment, after the disease-specific data search statement is generated, the corresponding disease-specific patient data may be acquired from the full-scale index data according to the disease-specific data search statement and used as a data base for specifying the disease-specific database.
In step S140, a specific disease data set is generated from the specific disease patient data, and a corresponding specific disease database is created from the specific disease data set.
In this example embodiment, a special disease label corresponding to the special disease database may be added to the special disease patient data to generate a special disease data set, and then a corresponding special disease database may be created according to the special disease data set.
In this exemplary embodiment, after the special illness database is created, if the user has a need to add a subject customized processing index to the specified special illness database, a special illness increment index corresponding to the special illness database may be obtained, and corresponding special illness index data may be produced according to the special illness increment index. By providing incremental production tooling indices for a given specialty database, the recurring universal index production costs can be reduced. In addition, in the production of the incremental data, only the quality of the incremental data needs to be verified, and the labor cost and the time cost of the test are reduced.
In this example embodiment, when the corresponding disease-specific index data is produced according to the disease-specific incremental index, the disease-specific patient data may be obtained from the disease-specific database, and the disease-specific patient data is placed in the incremental pre-database, and then the target incremental data is extracted from the incremental pre-database according to the disease-specific incremental index, and the target incremental data is subjected to structural processing, so as to obtain the structured disease-specific index data. The specific method of data processing is similar to the method of processing the full amount of data in fig. 3, and is not described here again. Both links each contain complete data production steps including data access, data processing, data application, etc.
In the production process of the special disease index data, the special disease data model can be layered, and the incremental production mode is adopted for the non-shared disease/subject customized index for staged production. Through a layered and staged data production mode, the labor time cost of multiple times of production of the full index model is reduced, so that the whole data production period of the special disease database is greatly shortened, the data production efficiency when multiple special disease databases are built simultaneously in a whole hospital is further improved, and the production implementation cost is greatly reduced. Besides, the production efficiency can be improved by reducing intermediate steps of data production.
Fig. 5 is a complete flow chart of self-help creating a disease-specific database in an embodiment of the present disclosure, which is an illustration of the above steps in the present exemplary embodiment, and the specific steps of the flow chart are as follows:
and S510, setting a conditional tree nanoarray rule.
And after setting a value range, carrying out rule association through logic such as 'and'/'or' and 'same medical record'/'same report'/'same patient' and the like to form the nano rule configuration of a data range.
And S520, automatically generating a retrieval statement.
And the system automatically generates corresponding special disease data retrieval statements according to the data range screening rules.
Step S530, inquiring target patient data.
And inquiring in a multi-source database by using the generated special illness data retrieval statement to obtain target patient data.
Step S540, adding labels to the patient data.
And (4) marking the target patient data with a label corresponding to the special disease database to generate a special disease data set.
And S550, creating a special disease database.
And finally, reading the special disease data set and creating a specified special disease database.
It should be noted that although the various steps of the methods of the present disclosure are depicted in the drawings in a particular order, this does not require or imply that these steps must be performed in this particular order, or that all of the depicted steps must be performed, to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions, etc.
Furthermore, the disclosure also provides a device for creating the special illness database. Referring to fig. 6, the creating device of the special illness database may include a full data production module 610, a search statement generation module 620, a special illness data acquisition module 630, and a special illness database creation module 640. Wherein:
the gross data production module 610 may be configured to obtain a common index based on the plurality of specialty data models and produce gross index data according to the common index;
the search statement generating module 620 may be configured to provide a visual interaction configuration interface on the user interface, and generate a corresponding specialist disease data search statement based on specialist disease configuration information selected by the user on the interaction configuration interface;
the special illness data acquisition module 630 may be configured to acquire corresponding special illness patient data from the full-scale index data according to the special illness data retrieval statement;
the special illness database creation module 640 may be configured to generate a special illness data set from the special illness patient data, and create a corresponding special illness database from the special illness data set.
In some exemplary embodiments of the present disclosure, the full data production module 610 may include a full patient data acquisition unit and a full data structuring unit. Wherein:
the full patient data acquisition unit may be configured to acquire full patient data from a plurality of different data sources and place the full patient data in a full pre-database;
the total data structuring unit can be used for extracting target total data from the total preposed database according to the common indexes and performing structuring processing on the target total data to obtain structured total index data.
In some exemplary embodiments of the present disclosure, the device for creating a specific disease database provided by the present disclosure may further include a specific disease index data production module, which may be configured to obtain a specific disease increment index corresponding to the specific disease database, and produce corresponding specific disease index data according to the specific disease increment index.
In some exemplary embodiments of the present disclosure, the specific illness index data production module may include a specific illness patient data acquisition unit and an incremental data structuring unit. Wherein:
the special patient data acquisition unit can be used for acquiring special patient data from the special patient database and putting the special patient data into the incremental prepositive database;
the incremental data structuring unit can be used for extracting target incremental data from the incremental preposed database according to the special disease incremental indexes and performing structuring processing on the target incremental data to obtain structured special disease index data.
In some exemplary embodiments of the present disclosure, the search statement generation module 620 may include a screening rule determination unit, which may be configured to determine a patient data screening rule based on the specific illness configuration information selected by the user on the interactive configuration interface, and generate a corresponding specific illness data search statement according to the patient data screening rule.
In some exemplary embodiments of the present disclosure, the screening rule determining unit may include a data inclusive rule determining unit and a data screening rule determining unit. Wherein:
the data inclusion rule determining unit may be configured to determine a corresponding special patient data inclusion rule based on the special patient data inclusion configuration, and determine a corresponding special patient data exclusion rule based on the special patient data exclusion configuration;
the data screening rule determining unit may be configured to determine the patient data screening rule based on the inclusion rule and the exclusion rule.
In some exemplary embodiments of the present disclosure, the special illness database creation module 640 may include a special illness label adding unit, which may be configured to add a special illness label corresponding to the special illness database to the special illness patient data and generate a special illness data set.
The specific details of each module/unit in the device for creating a patient-specific database have been described in detail in the corresponding method embodiment section, and are not described herein again.
FIG. 7 illustrates a schematic structural diagram of a computer system suitable for use with the electronic device to implement an embodiment of the invention.
It should be noted that the computer system 700 of the electronic device shown in fig. 7 is only an example, and should not bring any limitation to the function and the scope of the application of the embodiment of the present invention.
As shown in fig. 7, the computer system 700 includes a Central Processing Unit (CPU) 701, which can perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM) 702 or a program loaded from a storage section 708 into a Random Access Memory (RAM) 703. In the RAM 703, various programs and data necessary for system operation are also stored. The CPU 701, the ROM 702, and the RAM 703 are connected to each other via a bus 704. An input/output (I/O) interface 705 is also connected to bus 704.
The following components are connected to the I/O interface 705: an input portion 706 including a keyboard, a mouse, and the like; an output section 707 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 708 including a hard disk and the like; and a communication section 709 including a network interface card such as a LAN card, a modem, or the like. The communication section 709 performs communication processing via a network such as the internet. A drive 710 is also connected to the I/O interface 705 as needed. A removable medium 711 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 710 as necessary, so that a computer program read out therefrom is mounted into the storage section 708 as necessary.
In particular, according to an embodiment of the present invention, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the invention include a computer program product comprising a computer program embodied on a computer-readable medium, the computer program comprising program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program can be downloaded and installed from a network through the communication section 709, and/or installed from the removable medium 711. The computer program executes various functions defined in the system of the present application when executed by a Central Processing Unit (CPU) 701.
It should be noted that the computer readable media shown in the present disclosure may be computer readable signal media or computer readable storage media or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer-readable signal medium may include a propagated data signal with computer-readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
As another aspect, the present application also provides a computer-readable medium, which may be contained in the electronic device described in the above embodiments; or may be separate and not incorporated into the electronic device. The computer readable medium carries one or more programs which, when executed by an electronic device, cause the electronic device to implement the method as described in the embodiments above.
It should be noted that although in the above detailed description several modules of the device for action execution are mentioned, this division is not mandatory. Indeed, the features and functions of two or more of the modules described above may be embodied in one module, according to embodiments of the present disclosure. Conversely, the features and functions of one module described above may be further divided into embodiments by a plurality of modules.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (10)
1. A method for creating a special illness database, which is characterized by comprising the following steps:
acquiring a public index based on a plurality of special disease data models, and producing full index data according to the public index;
providing a visual interactive configuration interface on a user interface, and generating corresponding special case data retrieval statements based on special case configuration information selected on the interactive configuration interface by a user;
acquiring corresponding patient-specific data from the full-scale index data according to the patient-specific data retrieval statement;
and generating a special disease data set according to the special disease patient data, and establishing a corresponding special disease database according to the special disease data set.
2. The method of claim 1, wherein said producing full scale metric data from said common metric comprises:
obtaining full volume patient data from a plurality of different data sources and placing the full volume patient data into a full volume pre-database;
and extracting target full data from the full-scale pre-database according to the public indexes, and performing structural processing on the target full data to obtain structural full-scale index data.
3. The method of claim 1, wherein after creating the specialty database, the method further comprises:
acquiring a special disease increment index corresponding to the special disease database, and producing corresponding special disease index data according to the special disease increment index.
4. The method for creating a specific illness database according to claim 3, wherein said producing corresponding specific illness index data according to said specific illness incremental index includes:
acquiring the patient data of the special diseases from the special disease database, and putting the patient data of the special diseases into an increment preposed database;
and extracting target incremental data from the incremental pre-database according to the special disease incremental indexes, and performing structural processing on the target incremental data to obtain structured special disease index data.
5. The method for creating a patent-specific database according to claim 1, wherein the generating of the corresponding patent-specific data retrieval statement based on the patent-specific configuration information selected by the user on the interactive configuration interface comprises:
and determining a patient data screening rule based on the special disease configuration information selected by the user on the interactive configuration interface, and generating a corresponding special disease data retrieval statement according to the patient data screening rule.
6. The method for creating a specific complaint database according to claim 5, wherein the determining patient data filtering rules based on the specific complaint configuration information selected by the user on the interactive configuration interface comprises:
determining a corresponding special patient data inclusion rule based on special patient data inclusion configuration, and determining a corresponding special patient data exclusion rule based on special patient data exclusion configuration;
and determining a patient data screening rule according to the special patient data inclusion rule and the special patient data exclusion rule.
7. The method of claim 1, wherein the generating a patent data set from the patent patient data comprises:
and adding a special disease label corresponding to the special disease database to the special disease patient data and generating the special disease data set.
8. An apparatus for creating a patent database, comprising:
the system comprises a gross data production module, a data acquisition module and a data processing module, wherein the gross data production module is used for acquiring public indexes based on a plurality of special illness data models and producing gross index data according to the public indexes;
the retrieval statement generation module is used for providing a visual interactive configuration interface on a user interface and generating a corresponding specialist disease data retrieval statement based on specialist disease configuration information selected by a user on the interactive configuration interface;
the special disease data acquisition module is used for acquiring corresponding special disease patient data from the full-scale index data according to the special disease data retrieval statement;
and the special disease database creating module is used for generating a special disease data set according to the special disease patient data and creating a corresponding special disease database according to the special disease data set.
9. An electronic device, comprising:
a processor; and
a memory for storing one or more programs which, when executed by the processor, cause the processor to implement the method of creating a specialty database as claimed in any of claims 1 to 7.
10. A computer-readable medium, on which a computer program is stored, which, when being executed by a processor, carries out the method of creating a specialty database as claimed in any one of claims 1 to 7.
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| CN202211288053.9A CN115579150A (en) | 2022-10-20 | 2022-10-20 | Method and device for creating disease-specific database, electronic equipment and computer medium |
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| CN202211288053.9A CN115579150A (en) | 2022-10-20 | 2022-10-20 | Method and device for creating disease-specific database, electronic equipment and computer medium |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116130096A (en) * | 2023-04-04 | 2023-05-16 | 安徽省立医院(中国科学技术大学附属第一医院) | System, method and electronic equipment for making auxiliary decision through core index |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116130096A (en) * | 2023-04-04 | 2023-05-16 | 安徽省立医院(中国科学技术大学附属第一医院) | System, method and electronic equipment for making auxiliary decision through core index |
| CN116130096B (en) * | 2023-04-04 | 2023-11-21 | 安徽省立医院(中国科学技术大学附属第一医院) | System, method and electronic equipment for making auxiliary decision through core index |
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