CN112053754A - Non-structural medical data-to-structural data system based on natural language and method thereof - Google Patents
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Abstract
The invention discloses a non-structural medical data-to-structural data system based on natural language and a method thereof. The unstructured medical data to structure data system and the unstructured medical data to structure data method based on natural language are characterized in that a management server is respectively connected with a data conversion system and a cloud storage system in a bidirectional mode, the management server comprises a natural language unit, a data management unit and a data transmission module, data are received through a data receiving module, in the data conversion system, matching between the natural language and unstructured medical data is conducted through data language matching in the data conversion unit, then the unstructured medical data are converted through a conversion debugging module, integration between the unstructured medical data and the structured data is conducted in a structured data module after data confirmation of a debugging confirmation module, and finally the data are sent to the cloud storage system through a data sending module.
Description
Technical Field
The invention relates to the technical field of medical data systems, in particular to a non-structural medical data-to-structural data system and a method thereof based on natural language.
Background
In the process of acquiring medical information, the process of acquiring medical information is generally customized and developed according to the characteristics of different hospitals or medical data systems, and the characteristics of medical services cannot be quickly conformed in the actual data acquisition process of the medical information system. Due to the diversification of the data acquisition process of the medical data system, the acquisition mode in one acquisition scene can not be reused in other acquisition scenes, and meanwhile, in the same scene, the corresponding acquisition method mode is completely solidified after the acquisition function is realized, so that the scene and the acquisition mode are tightly coupled, and great cost investment is needed for realizing the medical data acquisition work in a large specification.
At present, in research and development of a storage system for medical data, the problem that non-structural medical data is inconvenient to store exists, the non-structural medical data cannot be shared with structural medical data, the medical diagnosis efficiency of medical workers is greatly reduced, and in addition, data loss is easily caused by independent storage of the non-structural medical data.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a system and a method for converting non-structural medical data into structural data based on natural language, which solve the problems that the non-structural medical data is inconvenient to store in the research and development of a storage system of the medical data at present, the non-structural medical data cannot be shared with the structural medical data, the medical diagnosis efficiency of medical workers is greatly reduced, and in addition, the data loss is easily caused by independently storing the non-structural medical data.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme: the unstructured medical data to structure data system based on natural language comprises a management server, a data conversion system and a cloud storage system, wherein the management server is respectively in bidirectional connection with the data conversion system and the cloud storage system, the data conversion system is in bidirectional connection with the cloud storage system, the management server comprises a natural language unit, a storage management unit, a data management unit and a data transmission module, the data conversion system comprises a processor, a data receiving module, a language receiving module, a data conversion unit and a data sending module, the cloud storage system comprises a data processing unit, a block chain module, a data storage library and a data storage cloud end, the output end of the natural language unit is connected with the input end of the data management unit, the data management unit is in bidirectional connection with the data transmission module, and the data transmission module is in bidirectional connection with the storage management unit, the input of treater is connected with the output of data receiving module, language receiving module respectively, and the output of treater is connected with the input of data conversion unit, the output of data conversion unit is connected with the input of data transmission module, the output of data processing unit is connected with the input of block chain module, and the output of block chain module is connected with the input of data repository, data repository and data storage high in the clouds realize both way junction.
Preferably, the natural language unit includes a natural language compiling module, a language debugging module, a natural language synchronizing module and a language deriving module.
Preferably, the output end of the natural language compiling module is connected with the input end of the language debugging module, the output end of the language debugging module is connected with the input end of the natural language synchronization module, and the output end of the natural language synchronization module is connected with the input end of the language exporting module.
Preferably, the storage management unit comprises a data display module, a data retrieval module and a data retrieval module, wherein the output end of the data display module is connected with the input end of the data retrieval module, and the output end of the data retrieval module is connected with the input end of the data retrieval module.
Preferably, the data management unit comprises a data acquisition module, a language import module, a data division module and a data export module, wherein the output end of the language import module is connected with the input end of the data acquisition module, the output end of the data acquisition module is connected with the input end of the data division module, and the output end of the data division module is connected with the input end of the data export module.
Preferably, the data conversion unit comprises a data language matching unit, a conversion debugging module, a debugging confirmation module and a structure data module, wherein the output end of the data language matching unit is connected with the input end of the conversion debugging module, the output end of the conversion debugging module is connected with the input end of the debugging confirmation module, and the output end of the debugging confirmation module is connected with the input end of the structure data module.
Preferably, the data processing unit comprises a data input module, a data classification module, a data identification module and a data connection module, wherein the output end of the data input module is connected with the input end of the data classification module, the output end of the data classification module is connected with the input end of the data identification module, and the output end of the data identification module is connected with the input end of the data connection module.
Preferably, the block chain module includes a data connection block and a data block chain, and an output end of the data connection block is connected to an input end of the data block chain.
The invention also discloses a method for converting the non-structural medical data into the structural data system based on the natural language, which comprises the following steps:
s1, a natural language program is programmed into the data management unit through the natural language unit in the management server, and meanwhile, the data management unit sends the non-structural medical data to the data conversion system through the data transmission module;
s2, receiving data through a data receiving module, in a data conversion system, matching natural language and non-structural medical data through data language matching in a data conversion unit, then converting the non-structural medical data through a conversion debugging module, after data confirmation of the debugging confirmation module, integrating the non-structural medical data and the structural data in a structural data module, and finally sending the data to a cloud storage system through a data sending module;
s3, processing the structural data through the data processing unit in the cloud storage system, classifying the structural data through the data classification module, then identifying the classified data through the data identification module, and finally combining and connecting the structural data through the data connection module;
s4, when the structural data are managed, the classification of the structural data is divided through the data dividing module, when the data are collected, natural language data are imported into the non-structural medical data through the language importing module, and the conversion of the non-structural medical data structure and the data system is achieved.
Preferably, in step S3, after the data are combined and connected, the block chain combination for the structure data is implemented through the data block chain.
(III) advantageous effects
The invention provides a non-structural medical data-to-structural data system based on natural language and a method thereof. Compared with the prior art, the method has the following beneficial effects:
(1) the unstructured medical data to structure data system based on natural language and the method thereof realize bidirectional connection with a data conversion system and a cloud storage system through a management server respectively, the data conversion system is in bidirectional connection with the cloud storage system, the management server comprises a natural language unit, a storage management unit, a data management unit and a data transmission module, the data conversion system comprises a processor, a data receiving module, a language receiving module, a data conversion unit and a data sending module, the cloud storage system comprises a data processing unit, a block chain module, a data storage library and a data storage cloud end, the output end of the natural language unit is connected with the input end of the data management unit, the data management unit is in bidirectional connection with the data transmission module, the data transmission module is in bidirectional connection with the storage management unit, and the data is received through the data receiving module, in the data conversion system, the natural language and the non-structural medical data are matched by using data language matching in the data conversion unit, then the non-structural medical data are converted by the conversion debugging module, after the data are confirmed by the debugging confirmation module, the non-structural medical data and the structural data are integrated in the structural data module, and finally the data are sent to the cloud storage system by the data sending module.
(2) The natural language unit comprises a natural language compiling module, a language debugging module, a natural language synchronization and language export module, an output end of the natural language compiling module is connected with an input end of the language debugging module, an output end of the language debugging module is connected with an input end of the natural language synchronization, an output end of the natural language synchronization is connected with an input end of the language export module, a natural language program is programmed into the data management unit through the natural language unit in the management server, and meanwhile, the data management unit sends the non-structural medical data to the data conversion system through the data transmission module.
(3) The unstructured medical data to structure data system and the unstructured medical data to structure data method based on the natural language comprise a data display module, a data calling module and a data retrieval module through a storage management unit, wherein the output end of the data display module is connected with the input end of the data calling module, the output end of the data calling module is connected with the input end of the data retrieval module, the structure data are processed through a data processing unit in a cloud storage system, the data classification module is used for carrying out classification processing on the structure data, then the classified data are identified through a data identification module, and finally the structure data are connected in a combined mode through a data connection module.
(4) The data management unit comprises a data acquisition module, a language import module, a data division module and a data export module, the output end of the language import module is connected with the input end of the data acquisition module, the output end of the data acquisition module is connected with the input end of the data division module, the output end of the data division module is connected with the input end of the data export module, the classification of the structural data is divided by the data division module when the structural data is managed, the natural language data is imported into the non-structural medical data by the language import module when the data is acquired, and the conversion of the non-structural medical data structure and the data system is realized.
Drawings
FIG. 1 is a schematic block diagram of the architecture of the data system of the present invention;
FIG. 2 is a schematic block diagram of the architecture of the management server of the present invention;
FIG. 3 is a schematic block diagram of the architecture of the data conversion system of the present invention;
FIG. 4 is a schematic block diagram of the cloud storage system of the present invention;
FIG. 5 is a schematic block diagram of the structure of a natural language unit according to the present invention;
FIG. 6 is a schematic block diagram of the structure of a memory management unit according to the present invention;
FIG. 7 is a schematic block diagram of the structure of a data management unit according to the present invention;
FIG. 8 is a schematic block diagram of the structure of a data conversion unit according to the present invention;
FIG. 9 is a schematic block diagram of the architecture of the data processing unit of the present invention;
fig. 10 is a schematic block diagram of the structure of the blockchain module according to the present invention.
In the figure, 1 management server, 11 natural language unit, 111 natural language compiling, 112 language debugging module, 113 natural language synchronization, 114 language exporting module, 12 storage management unit, 121 data display module, 122 data retrieving module, 123 data retrieval module, 13 data management unit, 131 data acquisition module, 132 language importing module, 133 data dividing module, 134 data exporting module, 14 data transmission module, 2 data conversion system, 21 processor, 22 data receiving module, 23 language receiving module, 24 data conversion unit, 241 data language matching, 242 conversion debugging module, 243 debugging confirmation module, 244 structure data module, 25 data transmitting module, 3 cloud storage system, 31 data processing unit, 311 data input module, 312 data classification module, 313 data identification module, 314 data connection module, 32 block chain module, 321 data connection blocks, 322 data block chains, 33 data storage libraries and 34 data storage cloud ends.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-10, embodiments of the present invention provide the following technical solutions: the unstructured medical data structure-converted data system based on natural language comprises a management server 1, a data conversion system 2 and a cloud storage system 3, wherein the management server 1 is respectively in bidirectional connection with the data conversion system 2 and the cloud storage system 3, the data conversion system 2 is in bidirectional connection with the cloud storage system 3, the management server 1 comprises a natural language unit 11, a storage management unit 12, a data management unit 13 and a data transmission module 14, the data conversion system 2 comprises a processor 21, a data receiving module 22, a language receiving module 23, a data conversion unit 24 and a data transmission module 25, the cloud storage system 3 comprises a data processing unit 31, a block chain module 32, a data storage library 33 and a data storage cloud end 34, the output end of the natural language unit 11 is connected with the input end of the data management unit 13, and the data management unit 13 is in bidirectional connection with the data transmission module 14, the data transmission module 14 is bidirectionally connected to the storage management unit 12, the input end of the processor 21 is respectively connected to the output ends of the data receiving module 22 and the language receiving module 23, the output end of the processor 21 is connected to the input end of the data conversion unit 24, the output end of the data conversion unit 24 is connected to the input end of the data sending module 25, the output end of the data processing unit 31 is connected to the input end of the blockchain module 32, the output end of the blockchain module 32 is connected to the input end of the data repository 33, the data repository 33 is bidirectionally connected to the data storage cloud 34, the natural language unit 11 includes a natural language compiling module 111, a language debugging module 112, a natural language synchronizing module 113 and a language exporting module 114, the output end of the natural language compiling module 111 is connected to the input end of the language debugging module 112, and the output end of the language debugging module 112 is connected to the input end, the output end of the natural language synchronization 113 is connected with the input end of the language export module 114, the storage management unit 12 comprises a data display module 121, a data retrieval module 122 and a data retrieval module 123, the output end of the data display module 121 is connected with the input end of the data retrieval module 122, the output end of the data retrieval module 122 is connected with the input end of the data retrieval module 123, the data management unit 13 comprises a data acquisition module 131, a language import module 132, a data division module 133 and a data export module 134, the output end of the language import module 132 is connected with the input end of the data acquisition module 131, the output end of the data acquisition module 131 is connected with the input end of the data division module 133, the output end of the data division module 133 is connected with the input end of the data export module 134, the data conversion unit 24 comprises a data language matching module 241, a conversion debugging module 242, 242, A debugging confirmation module 243 and a structure data module 244, wherein the output end of the data language matching 241 is connected with the input end of the conversion debugging module 242, the output end of the conversion debugging module 242 is connected with the input end of the debugging confirmation module 243, the output end of the debugging confirmation module 243 is connected with the input end of the structure data module 244, the data processing unit 31 comprises a data input module 311, a data classification module 312, a data identification module 313 and a data connection module 314, the output end of the data input module 311 is connected with the input end of the data classification module 312, the output end of the data classification module 312 is connected with the input end of the data identification module 313, the output end of the data identification module 313 is connected with the input end of the data connection module 314, the block chain module 32 comprises a data connection block 321 and a data block chain 322, and the output end of the data connection block 321 is connected with the input end of, and those not described in detail in this specification are well within the skill of those in the art.
The invention also discloses a method for converting the non-structural medical data into the structural data system based on the natural language, which comprises the following steps:
s1, a natural language program is programmed into the data management unit 13 through the natural language unit 11 in the management server 1, and meanwhile, the data management unit 13 sends the non-structural medical data to the data conversion system 2 through the data transmission module 14;
s2, receiving data through the data receiving module 22, in the data conversion system 2, matching between the natural language and the non-structural medical data by using the data language matching 241 in the data conversion unit 24, then converting the non-structural medical data through the conversion and debugging module 242, after data confirmation by the debugging and confirming module 243, integrating the non-structural medical data and the structural data in the structural data module 244, and finally sending the data to the cloud storage system 3 through the data sending module 25;
s3, processing the structure data through the data processing unit 31 in the cloud storage system 3, classifying the structure data by the data classification module 312, then identifying the classified data through the data identification module 313, and finally combining and connecting the structure data through the data connection module 314;
s4, when the structure data is managed, the classification of the structure data is divided by the data dividing module 133, when the data is collected, the natural language data is imported into the non-structure medical data by the language importing module 132, and the conversion between the non-structure medical data structure and the data system is realized.
In the present invention, in step S3, after the data are combined and connected, the block chain combination for the structure data is realized through the data block chain 322.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, 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.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. Unstructured medical data changes structure data system based on natural language, including management server (1), data conversion system (2) and cloud storage system (3), its characterized in that: the management server (1) is respectively in bidirectional connection with the data conversion system (2) and the cloud storage system (3), the data conversion system (2) is in bidirectional connection with the cloud storage system (3), the management server (1) comprises a natural language unit (11), a storage management unit (12), a data management unit (13) and a data transmission module (14), the data conversion system (2) comprises a processor (21), a data receiving module (22), a language receiving module (23), a data conversion unit (24) and a data sending module (25), the cloud storage system (3) comprises a data processing unit (31), a block chain module (32), a data storage library (33) and a data storage cloud end (34), the output end of the natural language unit (11) is connected with the input end of the data management unit (13), and data management unit (13) and data transmission module (14) realize the both way junction, data transmission module (14) and storage management unit (12) realize the both way junction, the input of treater (21) is connected with the output of data receiving module (22), language receiving module (23) respectively, and the output of treater (21) is connected with the input of data conversion unit (24), the output of data conversion unit (24) is connected with the input of data sending module (25), the output of data processing unit (31) is connected with the input of block chain module (32), and the output of block chain module (32) is connected with the input of data repository (33), data repository (33) and data storage cloud end (34) realize the both way junction.
2. The natural language based unstructured medical data unstructured data system according to claim 1, characterized by: the natural language unit (11) comprises a natural language compiling module (111), a language debugging module (112), a natural language synchronizing module (113) and a language deriving module (114).
3. The natural language based unstructured medical data unstructured data system according to claim 2, characterized by: the output end of the natural language compiling module (111) is connected with the input end of the language debugging module (112), the output end of the language debugging module (112) is connected with the input end of the natural language synchronization module (113), and the output end of the natural language synchronization module (113) is connected with the input end of the language exporting module (114).
4. The natural language based unstructured medical data unstructured data system according to claim 1, characterized by: the storage management unit (12) comprises a data display module (121), a data calling module (122) and a data retrieval module (123), wherein the output end of the data display module (121) is connected with the input end of the data calling module (122), and the output end of the data calling module (122) is connected with the input end of the data retrieval module (123).
5. The natural language based unstructured medical data unstructured data system according to claim 1, characterized by: the data management unit (13) comprises a data acquisition module (131), a language import module (132), a data division module (133) and a data export module (134), wherein the output end of the language import module (132) is connected with the input end of the data acquisition module (131), the output end of the data acquisition module (131) is connected with the input end of the data division module (133), and the output end of the data division module (133) is connected with the input end of the data export module (134).
6. The natural language based unstructured medical data unstructured data system according to claim 1, characterized by: the data conversion unit (24) comprises a data language matching module (241), a conversion debugging module (242), a debugging confirmation module (243) and a structure data module (244), wherein the output end of the data language matching module (241) is connected with the input end of the conversion debugging module (242), the output end of the conversion debugging module (242) is connected with the input end of the debugging confirmation module (243), and the output end of the debugging confirmation module (243) is connected with the input end of the structure data module (244).
7. The natural language based unstructured medical data unstructured data system according to claim 1, characterized by: the data processing unit (31) comprises a data input module (311), a data classification module (312), a data identification module (313) and a data connection module (314), the output end of the data input module (311) is connected with the input end of the data classification module (312), the output end of the data classification module (312) is connected with the input end of the data identification module (313), and the output end of the data identification module (313) is connected with the input end of the data connection module (314).
8. The natural language based unstructured medical data unstructured data system according to claim 1, characterized by: the block chain module (32) comprises a data connection block (321) and a data block chain (322), and the output end of the data connection block (321) is connected with the input end of the data block chain (322).
9. A method of implementing the natural language based unstructured medical data to structured data system of any one of claims 1 to 8, wherein: the method specifically comprises the following steps:
s1, a natural language program is programmed into a data management unit (13) through a natural language unit (11) in a management server (1), and meanwhile, the data management unit (13) sends unstructured medical data to a data conversion system (2) through a data transmission module (14);
s2, receiving data through a data receiving module (22), in a data conversion system (2), matching natural language and unstructured medical data through data language matching (241) in a data conversion unit (24), then converting the unstructured medical data through a conversion debugging module (242), after data confirmation through a debugging confirmation module (243), integrating the unstructured medical data and structured data in a structured data module (244), and finally sending the data to a cloud storage system (3) through a data sending module (25);
s3, processing the structure data through the data processing unit (31) in the cloud storage system (3), classifying the structure data through the data classification module (312), then identifying the classified data through the data identification module (313), and finally combining and connecting the structure data through the data connection module (314);
s4, when the structure data are managed, the classification of the structure data is divided by the data dividing module (133), and when the data are collected, the natural language data are imported into the non-structure medical data by the language importing module (132), so that the conversion between the non-structure medical data structure and the data system is realized.
10. The method of natural language based unstructured medical data to structured data system according to claim 9, wherein: in step S3, after the data are combined and connected, the block chain combination for the structure data is realized through the data block chain (322).
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| CN111133409A (en) * | 2017-10-19 | 2020-05-08 | 净睿存储股份有限公司 | Ensuring reproducibility in artificial intelligence infrastructure |
| CN111341455A (en) * | 2020-02-10 | 2020-06-26 | 厦门茶蕊生物医药科技有限公司 | Clinical test integrated cloud platform management system, method and storage medium |
| CN111462894A (en) * | 2020-03-27 | 2020-07-28 | 北京百度网讯科技有限公司 | Medical conflict detection method and device, electronic equipment and storage medium |
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