Method and apparatus for processing medical web page

Abstract

The application discloses a medical webpage processing method and device, and relates to the technical field of digital medicine, and mainly aims to solve the problem of poor processing effectiveness of an existing medical webpage. The method comprises the following steps: acquiring an application filename of a medical webpage to be displayed; extracting a medical feature word in the application filename based on a feature word extraction model that has been trained, and calling display configuration information of the medical webpage, wherein the feature word extraction model is obtained by training an updated feature word training sample generated based on a medical feature word generation strategy, and the medical feature word generation strategy is used to represent a rule of generating an application filename when the medical webpage is updated; if the medical feature word matches an updated feature word in the display configuration information, it is determined that the medical webpage is a target webpage that has been updated, and the medical webpage is displayed.

Description

Technical Field

[0001] This invention relates to the field of digital medical technology, and in particular to a method and apparatus for processing medical web pages. Background Technology

[0002] As healthcare needs continue to integrate with digital platforms, more and more users are seeking medical care through online platforms. To adapt to the ever-evolving medical information and procedures, these platforms need to develop and update their web pages accordingly.

[0003] Currently, existing medical platforms display web pages through browser settings, and the updated web pages can only be displayed in the browser after the medical platform sends the updated web pages. However, this method of displaying web pages after the medical platform sends the updated web pages results in web page updates being too late, which greatly reduces the effectiveness of web page update display, increases the risk of missing web page update content, and also increases the processing pressure of web page update releases on the medical platform, thereby reducing the processing effectiveness of medical web pages. Summary of the Invention

[0004] In view of this, the present invention provides a method and apparatus for processing medical web pages, the main purpose of which is to solve the problem of poor processing effectiveness of existing medical web pages.

[0005] According to one aspect of the present invention, a method for processing medical web pages is provided, comprising:

[0006] Obtain the application file name of the medical webpage to be displayed;

[0007] The medical feature words in the application file name are extracted based on the feature word extraction model that has been trained, and the display configuration information of the medical webpage is retrieved. The feature word extraction model is trained based on the updated feature word training samples generated according to the medical feature word generation strategy. The medical feature word generation strategy is used to characterize the rules for generating the application file name when the medical webpage is updated.

[0008] If the medical feature words match the updated feature words in the display configuration information, then the medical webpage is determined to be a target webpage that has been updated, and the medical webpage is displayed.

[0009] Furthermore, before extracting medical feature words from the application file name based on the trained feature word extraction model, the method further includes:

[0010] Based on the medical feature word generation strategy, different medical webpage training samples are identified to obtain updated feature word training samples. The medical feature word generation strategy includes a feature word generation sub-strategy that identifies based on at least one of the following: medical business identifier, medical business level, and number of updates of medical items.

[0011] A three-layer convolutional neural network is constructed, and the model is trained on the three-layer convolutional neural network based on the updated feature word training samples to obtain the feature word extraction model.

[0012] Furthermore, before determining that the medical webpage is a target webpage that has been updated, the method further includes:

[0013] The display configuration information is parsed according to the display logic information of the medical business webpage. The display logic information of the medical business webpage includes the display layout, business attributes, and basic logic program for displaying medical information on the medical webpage.

[0014] Based on the feature word extraction model, update feature words are extracted from all application file names of the application file to obtain updated feature words.

[0015] Furthermore, before obtaining the application filename of the medical webpage to be displayed, the method further includes:

[0016] Send an application file loading request for the medical webpage to the server so that the server generates the application file name;

[0017] The server obtains medical feature words by identifying at least one of the following: medical business identifier, medical business level, and number of medical project updates for different medical web pages to be distributed. These features are then combined with backup file names to generate application file names, which are then packaged and distributed.

[0018] Furthermore, the application filename for obtaining the medical webpage to be displayed includes:

[0019] When a request to display a medical webpage is received, the webpage configuration information matching the URL information in the medical business database is searched according to the URL information in the medical webpage display request.

[0020] If the webpage configuration information is found, the application file name is obtained from the webpage configuration information.

[0021] Furthermore, the method also includes:

[0022] If the webpage configuration information is not found, a configuration information retrieval request is sent to the server so that the server can provide the display configuration information based on the URL information and display the updated medical webpage based on the display configuration information.

[0023] Furthermore, after retrieving the display configuration information of the medical webpage, the method further includes:

[0024] If the medical feature words do not match the update feature words in the display configuration information, the medical webpage is determined to be a target webpage that has not been updated, and a webpage update request is sent to the server so that the server updates the medical webpage that has not been updated.

[0025] Upon receiving the updated medical webpage, the updated application file name of the updated medical webpage is obtained and stored in a preset cache. The preset cache stores updated application file names corresponding to different timestamps, so that when obtaining the application file name of the medical webpage to be displayed, it is obtained in the sequence order of the timestamps.

[0026] According to another aspect of the present invention, a processing apparatus for a medical webpage is provided, comprising:

[0027] The acquisition module is used to obtain the application file name of the medical webpage to be displayed.

[0028] The retrieval module is used to extract medical feature words from the application file name based on the trained feature word extraction model, and retrieve the display configuration information of the medical webpage. The feature word extraction model is trained based on updated feature word training samples generated according to the medical feature word generation strategy. The medical feature word generation strategy is used to characterize the rules for generating application file names when the medical webpage is updated.

[0029] The determination module is used to determine that the medical webpage is a target webpage that has been updated if the medical feature words match the updated feature words in the display configuration information, and then display the medical webpage.

[0030] Furthermore, the device also includes:

[0031] The identification module is used to identify different medical webpage training samples based on the medical feature word generation strategy to obtain updated feature word training samples. The medical feature word generation strategy includes a feature word generation sub-strategy that identifies based on at least one of the following: medical business identifier, medical business level, and number of updates of medical items.

[0032] The training module is used to construct a three-layer convolutional neural network and train the three-layer convolutional neural network based on the updated feature word training samples to obtain the feature word extraction model.

[0033] Furthermore, the device also includes:

[0034] The parsing module is used to parse all application files in the display configuration information according to the display logic information of the medical business webpage. The display logic information of the medical business webpage includes the display layout, business attributes, and basic logic program for displaying medical information on the medical webpage.

[0035] The extraction module is used to extract updated feature words from all application file names of the application file based on the feature word extraction model, so as to obtain updated feature words.

[0036] Furthermore, the device also includes:

[0037] The sending module is used to send an application file loading request for the medical webpage to the server, so that the server generates the application file name;

[0038] The server obtains medical feature words by identifying at least one of the following: medical business identifier, medical business level, and number of medical project updates for different medical web pages to be distributed. These features are then combined with backup file names to generate application file names, which are then packaged and distributed.

[0039] Furthermore, the acquisition module is specifically used to, when receiving a medical webpage display request, search the medical business database for webpage configuration information that matches the URL information in the medical webpage display request; if the webpage configuration information is found, then obtain the application file name from the webpage configuration information.

[0040] Furthermore,

[0041] The sending module is further configured to send a configuration information retrieval request to the server if the webpage configuration information is not found, so that the server can provide feedback on the display configuration information based on the URL information and display the updated medical webpage based on the display configuration information.

[0042] Furthermore,

[0043] The sending module is further configured to determine that the medical webpage is a target webpage that has not been updated if the medical feature words do not match the update feature words in the display configuration information, and send a webpage update request to the server so that the server updates the medical webpage that has not been updated.

[0044] The acquisition module is further configured to, upon receiving the updated medical webpage, acquire the updated application file name of the updated medical webpage and store the updated application file name in a preset cache. The preset cache stores updated application file names corresponding to different timestamps, so that when acquiring the application file name of the medical webpage to be displayed, the acquisition is performed in the sequence order of the timestamps.

[0045] According to another aspect of the present invention, a storage medium is provided, wherein at least one executable instruction is stored therein, the executable instruction causing a processor to perform an operation corresponding to the processing method of the above-described medical webpage.

[0046] According to another aspect of the present invention, a computer device is provided, comprising: a processor, a memory, a communication interface, and a communication bus, wherein the processor, the memory, and the communication interface communicate with each other via the communication bus;

[0047] The memory is used to store at least one executable instruction, which causes the processor to perform the operation corresponding to the processing method of the aforementioned medical webpage.

[0048] By employing the above-described technical solutions, the technical solutions provided by the embodiments of the present invention have at least the following advantages:

[0049] This invention provides a method and apparatus for processing medical web pages. Compared with existing technologies, this invention obtains the application file name of the medical web page to be displayed; extracts medical feature words from the application file name based on a trained feature word extraction model, and retrieves the display configuration information of the medical web page. The feature word extraction model is trained based on updated feature word training samples generated according to a medical feature word generation strategy. The medical feature word generation strategy is used to characterize the rules for generating the application file name when the medical web page is updated; if the medical feature words match the updated feature words in the display configuration information, the medical web page is determined to be a target web page that has been updated, and the medical web page is displayed. This achieves timely identification of whether a medical web page has been updated, greatly improving the timeliness of medical web page display, reducing the chance of missing medical web page updates, and significantly reducing the processing pressure of web page update releases, thereby improving the processing efficiency of medical web pages.

[0050] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it in accordance with the contents of the specification, and in order to make the above and other objects, features and advantages of the present invention more apparent and understandable, specific embodiments of the present invention are described below. Attached Figure Description

[0051] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0052] Figure 1 A flowchart of a medical webpage processing method provided by an embodiment of the present invention is shown;

[0053] Figure 2 This diagram illustrates a block diagram of a medical webpage processing device according to an embodiment of the present invention.

[0054] Figure 3 A schematic diagram of the structure of a computer device provided in an embodiment of the present invention is shown. Detailed Implementation

[0055] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0056] The embodiments of this invention can acquire and process relevant data based on artificial intelligence technology. Artificial intelligence (AI) refers to the theories, methods, technologies, and application systems that utilize digital computers or machines controlled by digital computers to simulate, extend, and expand human intelligence, perceive the environment, acquire knowledge, and use that knowledge to obtain optimal results.

[0057] Foundational technologies for artificial intelligence generally include sensors, dedicated AI chips, cloud computing, distributed storage, big data processing, operating / interactive systems, and mechatronics. AI software technologies mainly encompass computer vision, robotics, biometrics, speech processing, natural language processing, and machine learning / deep learning.

[0058] Based on this, in one embodiment, the present invention provides a method for processing medical web pages. Taking the application of this method to computer devices such as servers as an example, the server can be an independent server or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content delivery networks (CDN), and big data and artificial intelligence platforms, such as intelligent medical systems and digital medical platforms.

[0059] This invention provides a method for processing medical web pages, such as... Figure 1 As shown, the method includes:

[0060] 101. Obtain the application file name of the medical webpage to be displayed.

[0061] In this embodiment of the invention, the current executing entity acts as a client of the digital healthcare platform. To ensure that the displayed medical webpage is up-to-date, the current executing entity can verify the medical webpage by executing the current medical webpage processing method at preset time intervals or in real time. The application filename of the medical webpage to be displayed is the name of a system file containing all the content of the medical webpage, and can be generated using letters, strings, numbers, etc., without specific limitations in this embodiment. The application filename can be obtained by searching all system files of the digital healthcare platform.

[0062] 102. Extract medical feature words from the application file name based on the trained feature word extraction model, and retrieve the display configuration information of the medical webpage.

[0063] In this embodiment of the invention, the current executing entity extracts medical feature words from the application file name based on a feature word extraction model that has completed model training, thereby obtaining medical feature words. Simultaneously, it retrieves the display configuration information of this medical webpage. The display configuration information includes all configuration logic, parameters, code, and other information related to displaying the medical webpage. This display configuration information can be obtained by requesting from the server or can be loaded from the server at time intervals; this embodiment of the invention does not impose specific limitations.

[0064] It should be noted that the feature word extraction model is trained based on updated feature word training samples generated according to the medical feature word generation strategy. That is, after generating updated feature word training samples based on the medical feature word generation strategy, the initial feature word extraction model is trained to complete the learning of medical feature words. The feature word extraction model can be constructed based on neural networks, convolutional neural networks, etc., and this embodiment of the invention does not impose specific limitations. Furthermore, the medical feature word generation strategy is used to characterize the rules for generating application filenames when the medical webpage is updated. This includes feature word generation sub-strategies that identify at least one of the following: medical business identifier, medical business level, and number of medical project updates. For example, a feature word generation sub-strategy based on the medical business identifier generates the application filename according to the medical business identifier of the medical webpage. If the medical business identifier is "Registration Service 3-101", then the generated application filename will contain "sfw-3-101-jwd". This embodiment of the invention does not impose specific limitations.

[0065] 103. If the medical feature words match the updated feature words in the display configuration information, then the medical webpage is determined to be a target webpage that has been updated, and the medical webpage is displayed.

[0066] In this embodiment of the invention, after retrieving the display configuration information, since the display configuration information records all the content to be displayed on all medical web pages, all updated feature words in the display configuration information are extracted in advance so that the medical feature words can be compared with the updated feature words. If the medical feature words match the extracted updated feature words, it means that the medical web page to be displayed matches the updated display configuration information, that is, the medical web page is the latest web page. Therefore, this medical web page can be determined as the target web page for display.

[0067] In another embodiment of the invention, for further definition and explanation, before the step of extracting medical feature words from the application file name based on the trained feature word extraction model, the method further includes:

[0068] Based on the aforementioned medical feature word generation strategy, different medical webpage training samples are identified to obtain updated feature word training samples.

[0069] A three-layer convolutional neural network is constructed, and the model is trained on the three-layer convolutional neural network based on the updated feature word training samples to obtain the feature word extraction model.

[0070] To improve the accuracy of medical webpage update identification by using medical feature words as the basis for determining whether a medical webpage has been updated, the current implementation entity first identifies different medical webpage training samples based on a medical feature word generation strategy to obtain samples for model training. The medical feature word generation strategy includes a sub-strategy that identifies features based on at least one of the following: medical business identifier, medical business level, and number of medical item updates. During the identification of different medical webpage training samples, after generating a reference medical feature word according to the strategy, the medical webpage training samples are further divided into positively labeled and negatively labeled feature word training samples, forming the update feature word training samples. Specifically, the positively labeled feature word training samples are those from which medical feature words can be extracted, while the negatively labeled feature word training samples are those from which medical feature words cannot be extracted, thus serving as the complete update feature word training samples.

[0071] It should be noted that a three-layer convolutional neural network is pre-constructed in the current execution entity, and the model is trained on the three-layer convolutional neural network based on the updated feature word training samples to obtain the feature word extraction model. At this time, before using the updated feature word training samples for model training, it is necessary to perform word vector transformation on the updated feature word training samples, so as to use the transformed word vectors as input parameters of the three-layer convolutional neural network for training until the model reaches the preset accuracy and the training is completed. This embodiment of the invention does not make specific limitations.

[0072] In another embodiment of the invention, to further define and illustrate, before determining that the medical webpage is a target webpage that has been updated, the method further includes:

[0073] Parse all application files in the display configuration information according to the display logic information of the medical business webpage;

[0074] Based on the feature word extraction model, update feature words are extracted from all application file names of the application file to obtain updated feature words.

[0075] To accurately identify whether a medical webpage is updated, thereby improving the accuracy of medical webpage identification, the current execution entity first parses all application files in the display configuration information according to the display logic information of the medical business webpage. This display logic information includes the layout of medical information displayed on the webpage, business attributes, and basic logic programs. Specifically, all application files are parsed according to their display layout (position within the webpage), business attributes (medical data, medical operations, etc.), and basic logic programs (system script code), resulting in application file names categorized accordingly. Simultaneously, based on the previously trained feature word extraction model, update feature words are extracted from all application file names. If the medical webpage is up-to-date, the updated feature words are the same as those extracted from the real-time detected medical webpage; otherwise, they are different.

[0076] In another embodiment of the invention, to further define and illustrate, before obtaining the application file name of the medical webpage to be displayed, the method further includes:

[0077] Send an application file loading request for the medical webpage to the server so that the server generates the application file name.

[0078] To ensure the identification of medical webpage updates, the current executing entity sends an application file loading request to the server before identifying the medical webpage. This allows the server to generate all application filenames configured for the medical webpage. Specifically, the server identifies at least one of the following for different medical webpages to be distributed: medical business identifier, medical business level, and number of medical item updates. These medical feature words are then combined with backup filenames to generate the application filename, which is then packaged and distributed. The server uses the same method to generate the medical feature words as the current executing entity, and then combines them with backup filenames (which can be obtained through hash value calculations, etc.) to obtain the complete application filename.

[0079] In another embodiment of the invention, for further definition and explanation, the step of obtaining the application file name of the medical webpage to be displayed includes:

[0080] When a request to display a medical webpage is received, the webpage configuration information matching the URL information in the medical business database is searched according to the URL information in the medical webpage display request.

[0081] If the webpage configuration information is found, the application file name is obtained from the webpage configuration information.

[0082] To ensure accurate identification of medical webpage updates based on application filenames, the current executing entity receives a medical webpage display request upon obtaining the application filename and searches for webpage configuration information based on the URL information in the request. Since the current executing entity is the server of the digital healthcare platform, the medical business database encompasses all business databases stored within it. Therefore, a search can be performed within this medical business database based on the URL information to determine the webpage configuration information corresponding to that URL. For example, the entire configuration content of the medical webpage corresponding to IP address 'a' can be searched within the medical business database. This embodiment of the invention does not impose specific limitations. Once the webpage configuration information is found, all application filenames can be directly retrieved.

[0083] In another embodiment of the present invention, for further definition and explanation, the steps and methods further include:

[0084] If the webpage configuration information is not found, a configuration information retrieval request is sent to the server.

[0085] To ensure the proper display of medical webpages, if no webpage configuration information is found, a configuration information retrieval request is sent to the server. This allows the server to provide display configuration information based on the URL and then display the updated medical webpage accordingly. If no webpage configuration information is found at this point, it indicates that the configuration for the medical webpage in the current executing entity does not match the URL information. Therefore, a configuration information retrieval request can be sent to the server. Upon receiving this request, the server re-determines the medical webpage based on the URL information and provides its display configuration information back to the current executing entity, enabling the entity to initiate real-time updates and identification of the medical webpage.

[0086] In another embodiment of the invention, to further define and illustrate, after retrieving the display configuration information of the medical webpage, the method further includes:

[0087] If the medical feature words do not match the update feature words in the display configuration information, the medical webpage is determined to be a target webpage that has not been updated, and a webpage update request is sent to the server so that the server updates the medical webpage that has not been updated.

[0088] Upon receiving the updated medical webpage, the updated application file name of the updated medical webpage is obtained and stored in a preset cache.

[0089] To ensure accurate extraction of medical keywords from medical web pages, when the current executing entity encounters a mismatch between medical keywords and updated keywords, it identifies the medical web page as an unupdated target web page and sends a web page update request to the server. This prompts the server to update the unupdated medical web page and re-feed back the display configuration information. Once the server reports an updated medical web page, the current executing entity retrieves the updated application filename and stores it in a preset cache. This cache is used to retrieve the updated application filename when determining whether a medical web page needs updating. Furthermore, to expedite the retrieval of application filenames, the preset cache stores updated application filenames corresponding to different timestamps. This ensures that when retrieving the application filename of the medical web page to be displayed, the filename is retrieved sequentially according to the timestamp sequence. This embodiment of the invention does not impose specific limitations on this method.

[0090] This invention provides a method for processing medical web pages. Compared with existing technologies, this invention obtains the application file name of the medical web page to be displayed; extracts medical feature words from the application file name based on a trained feature word extraction model, and retrieves the display configuration information of the medical web page. The feature word extraction model is trained based on updated feature word training samples generated according to a medical feature word generation strategy. The medical feature word generation strategy is used to characterize the rules for generating the application file name when the medical web page is updated; if the medical feature words match the updated feature words in the display configuration information, the medical web page is determined to be a target web page that has been updated, and the medical web page is displayed. This method enables timely identification of whether a medical web page has been updated, greatly improving the timeliness of medical web page display, reducing the chance of missing medical web page updates, and significantly reducing the processing pressure of web page update releases, thereby improving the processing efficiency of medical web pages.

[0091] Furthermore, as a response to the above Figure 1 The implementation of the method shown in this embodiment of the invention provides a medical webpage processing device, such as... Figure 2 As shown, the device includes:

[0092] Module 21 is used to obtain the application file name of the medical webpage to be displayed;

[0093] The retrieval module 22 is used to extract medical feature words from the application file name based on the trained feature word extraction model, and retrieve the display configuration information of the medical webpage. The feature word extraction model is trained based on the updated feature word training samples generated according to the medical feature word generation strategy. The medical feature word generation strategy is used to characterize the rules for generating the application file name when the medical webpage is updated.

[0094] The determination module 23 is used to determine that the medical webpage is a target webpage that has been updated if the medical feature words match the updated feature words in the display configuration information, and then display the medical webpage.

[0095] Furthermore, the device also includes:

[0096] The identification module is used to identify different medical webpage training samples based on the medical feature word generation strategy to obtain updated feature word training samples. The medical feature word generation strategy includes a feature word generation sub-strategy that identifies based on at least one of the following: medical business identifier, medical business level, and number of updates of medical items.

[0097] The training module is used to construct a three-layer convolutional neural network and train the three-layer convolutional neural network based on the updated feature word training samples to obtain the feature word extraction model.

[0098] Furthermore, the device also includes:

[0099] The parsing module is used to parse all application files in the display configuration information according to the display logic information of the medical business webpage. The display logic information of the medical business webpage includes the display layout, business attributes, and basic logic program for displaying medical information on the medical webpage.

[0100] The extraction module is used to extract updated feature words from all application file names of the application file based on the feature word extraction model, so as to obtain updated feature words.

[0101] Furthermore, the device also includes:

[0102] The sending module is used to send an application file loading request for the medical webpage to the server, so that the server generates the application file name;

[0103] The server obtains medical feature words by identifying at least one of the following: medical business identifier, medical business level, and number of medical project updates for different medical web pages to be distributed. These features are then combined with backup file names to generate application file names, which are then packaged and distributed.

[0104] Furthermore, the acquisition module is specifically used to, when receiving a medical webpage display request, search the medical business database for webpage configuration information that matches the URL information in the medical webpage display request; if the webpage configuration information is found, then obtain the application file name from the webpage configuration information.

[0105] Furthermore,

[0106] The sending module is further configured to send a configuration information retrieval request to the server if the webpage configuration information is not found, so that the server can provide feedback on the display configuration information based on the URL information and display the updated medical webpage based on the display configuration information.

[0107] Furthermore,

[0108] The sending module is further configured to determine that the medical webpage is a target webpage that has not been updated if the medical feature words do not match the update feature words in the display configuration information, and send a webpage update request to the server so that the server updates the medical webpage that has not been updated.

[0109] The acquisition module is further configured to, upon receiving the updated medical webpage, acquire the updated application file name of the updated medical webpage and store the updated application file name in a preset cache. The preset cache stores updated application file names corresponding to different timestamps, so that when acquiring the application file name of the medical webpage to be displayed, the acquisition is performed in the sequence order of the timestamps.

[0110] This invention provides a medical webpage processing device. Compared with the prior art, this invention obtains the application file name of the medical webpage to be displayed; extracts medical feature words from the application file name based on a trained feature word extraction model, and retrieves the display configuration information of the medical webpage. The feature word extraction model is trained based on updated feature word training samples generated according to a medical feature word generation strategy. The medical feature word generation strategy is used to characterize the rules for generating the application file name when the medical webpage is updated; if the medical feature words match the updated feature words in the display configuration information, the medical webpage is determined to be a target webpage that has been updated, and the medical webpage is displayed. This achieves timely identification of whether a medical webpage has been updated, greatly improving the timeliness of medical webpage display, reducing the chance of missing medical webpage updates, and significantly reducing the processing pressure of webpage update releases, thereby improving the processing efficiency of medical webpages.

[0111] According to one embodiment of the present invention, a storage medium is provided, the storage medium storing at least one executable instruction, the computer-executable instruction being capable of executing the medical webpage processing method in any of the above method embodiments.

[0112] Figure 3 The diagram illustrates a structural schematic of a computer device according to an embodiment of the present invention. The specific embodiments of the present invention do not limit the specific implementation of the computer device.

[0113] like Figure 3As shown, the computer device may include: a processor 302, a communications interface 304, a memory 306, and a communications bus 308.

[0114] The processor 302, communication interface 304, and memory 306 communicate with each other via communication bus 308.

[0115] Communication interface 304 is used to communicate with other network elements such as clients or other servers.

[0116] The processor 302 is used to execute program 310, specifically to execute the relevant steps in the above-described embodiment of the medical webpage processing method.

[0117] Specifically, program 310 may include program code that includes computer operation instructions.

[0118] Processor 302 may be a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement embodiments of the present invention. The computer device includes one or more processors, which may be processors of the same type, such as one or more CPUs; or processors of different types, such as one or more CPUs and one or more ASICs.

[0119] Memory 306 is used to store program 310. Memory 306 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0120] Specifically, program 310 can be used to cause processor 302 to perform the following operations:

[0121] Obtain the application file name of the medical webpage to be displayed;

[0122] The medical feature words in the application file name are extracted based on the feature word extraction model that has been trained, and the display configuration information of the medical webpage is retrieved. The feature word extraction model is trained based on the updated feature word training samples generated according to the medical feature word generation strategy. The medical feature word generation strategy is used to characterize the rules for generating the application file name when the medical webpage is updated.

[0123] If the medical feature words match the updated feature words in the display configuration information, then the medical webpage is determined to be a target webpage that has been updated, and the medical webpage is displayed.

[0124] It is obvious to those skilled in the art that the modules or steps of the present invention described above can be implemented using general-purpose computing devices. They can be centralized on a single computing device or distributed across a network of multiple computing devices. Optionally, they can be implemented using computer-executable program code, thereby storing them in a storage device for execution by a computing device. In some cases, the steps shown or described can be performed in a different order than those presented herein, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Thus, the present invention is not limited to any particular combination of hardware and software.

[0125] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for processing medical web pages, characterized in that, include: Obtain the application file name of the medical webpage to be displayed; The medical feature words in the application file name are extracted based on the feature word extraction model that has been trained, and the display configuration information of the medical webpage is retrieved. The feature word extraction model is trained based on the updated feature word training samples generated according to the medical feature word generation strategy. The medical feature word generation strategy is used to characterize the rules for generating the application file name when the medical webpage is updated. If the medical feature words match the updated feature words in the display configuration information, then the medical webpage is determined to be a target webpage that has been updated, and the medical webpage is displayed. Before determining that the medical webpage is a target webpage that has been updated, the method further includes: The display configuration information is parsed according to the display logic information of the medical business webpage. The display logic information of the medical business webpage includes the display layout, business attributes, and basic logic program for displaying medical information on the medical webpage. Based on the feature word extraction model, update feature words are extracted from all application file names of the application file to obtain updated feature words.

2. The method according to claim 1, characterized in that, Before extracting medical feature words from the application file name based on the trained feature word extraction model, the method further includes: Based on the medical feature word generation strategy, different medical webpage training samples are identified to obtain updated feature word training samples. The medical feature word generation strategy includes a feature word generation sub-strategy that identifies based on at least one of the following: medical business identifier, medical business level, and number of updates of medical items. A three-layer convolutional neural network is constructed, and the model is trained on the three-layer convolutional neural network based on the updated feature word training samples to obtain the feature word extraction model.

3. The method according to claim 2, characterized in that, Before obtaining the application file name of the medical webpage to be displayed, the method further includes: Send an application file loading request for the medical webpage to the server so that the server generates the application file name; The server obtains medical feature words by identifying at least one of the following: medical business identifier, medical business level, and number of medical project updates for different medical web pages to be distributed. These features are then combined with backup file names to generate application file names, which are then packaged and distributed.

4. The method according to claim 3, characterized in that, The application filename for obtaining the medical webpage to be displayed includes: When a request to display a medical webpage is received, the webpage configuration information matching the URL information in the medical business database is searched according to the URL information in the medical webpage display request. If the webpage configuration information is found, the application file name is obtained from the webpage configuration information.

5. The method according to claim 4, characterized in that, The method further includes: If the webpage configuration information is not found, a configuration information retrieval request is sent to the server so that the server can provide the display configuration information based on the URL information and display the updated medical webpage based on the display configuration information.

6. The method according to any one of claims 1-5, characterized in that, After retrieving the display configuration information of the medical webpage, the method further includes: If the medical feature words do not match the update feature words in the display configuration information, the medical webpage is determined to be a target webpage that has not been updated, and a webpage update request is sent to the server so that the server updates the medical webpage that has not been updated. Upon receiving the updated medical webpage, the updated application file name of the updated medical webpage is obtained and stored in a preset cache. The preset cache stores updated application file names corresponding to different timestamps, so that when obtaining the application file name of the medical webpage to be displayed, it is obtained in the sequence order of the timestamps.

7. A processing device for medical web pages, characterized in that, include: The acquisition module is used to obtain the application file name of the medical webpage to be displayed. The retrieval module is used to extract medical feature words from the application file name based on the trained feature word extraction model, and retrieve the display configuration information of the medical webpage. The feature word extraction model is trained based on updated feature word training samples generated according to the medical feature word generation strategy. The medical feature word generation strategy is used to characterize the rules for generating application file names when the medical webpage is updated. The determination module is used to determine that if the medical feature words match the updated feature words in the display configuration information, then determine that the medical webpage is a target webpage that has been updated, and display the medical webpage. The device further includes: The parsing module is used to parse all application files in the display configuration information according to the display logic information of the medical business webpage. The display logic information of the medical business webpage includes the display layout, business attributes, and basic logic program for displaying medical information on the medical webpage. The extraction module is used to extract updated feature words from all application file names of the application file based on the feature word extraction model, so as to obtain updated feature words.

8. A storage medium storing at least one executable instruction that causes a processor to perform an operation corresponding to the processing method of a medical webpage as described in any one of claims 1-6.

9. A computer device, comprising: The processor, memory, communication interface, and communication bus are provided, wherein the processor, memory, and communication interface communicate with each other via the communication bus. The memory is used to store at least one executable instruction, which causes the processor to perform an operation corresponding to the processing method of the medical webpage as described in any one of claims 1-6.

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