CN117217825A

CN117217825A - Data generation method, device, computer equipment and storage medium

Info

Publication number: CN117217825A
Application number: CN202311137252.4A
Authority: CN
Inventors: 李�瑞
Original assignee: Ping An Health Insurance Company of China Ltd
Current assignee: Ping An Health Insurance Company of China Ltd
Priority date: 2023-09-04
Filing date: 2023-09-04
Publication date: 2023-12-12

Abstract

The application belongs to the field of big data and the field of digital medical treatment, and relates to a data generation method, which comprises the following steps: receiving an application request triggered by a user; wherein, the application request carries user information of the user; extracting user information from the application request, and acquiring identity description information of the user based on the user information; acquiring target features corresponding to the feature category information from the identity description information based on preset feature category information; based on the target characteristics, acquiring target health notification problems corresponding to the target characteristics from a preset health notification library; constructing a health notification questionnaire based on the target health notification questions; a health notification questionnaire is displayed. The application also provides a data generating device, computer equipment and a storage medium. In addition, the application also relates to a blockchain technology, and the health notification questionnaire can be stored in the blockchain. The method and the device can be applied to the health notification scene in the medical field, and the intelligence and the accuracy of the generation of the health notification questionnaire are improved.

Description

Data generation method, device, computer equipment and storage medium

Technical Field

The present application relates to the field of big data technology and the field of digital medical treatment, and in particular, to a data generating method, apparatus, computer device, and storage medium.

Background

In the insurance business process of an insurance company, a customer is generally required to make a health notification in the process of applying an insurance product of the insurance company, so that an insurance agent recommends a matched insurance product for a user according to the content of the health notification. However, the service system in the insurance company is only designed with a set of health notification questionnaires, so that when different clients make the health notification questionnaires, the questions to be answered are the same, the design mode of the health notification questionnaires cannot meet the requirements of different people, and the construction of the health notification questionnaires lacks intelligence. And the clients can not answer the health questions meeting the self conditions from the health notification questionnaire with high probability, and the client has lower sense of insurance experience, so that the client complaints are easy to generate.

Disclosure of Invention

The embodiment of the application aims to provide a data generation method, a data generation device, computer equipment and a storage medium, so as to solve the problem that the existing design mode of a health notification questionnaire cannot meet the requirements of different people and the construction of the health notification questionnaire lacks intelligence. And the clients can not answer the health questions meeting the self conditions from the health notification questionnaire with high probability, and the client has lower application experience, so that the technical problems of client complaints are easy to generate.

In order to solve the above technical problems, an embodiment of the present application provides a data generating method, which adopts the following technical schemes:

receiving an application request triggered by a user; wherein the application request carries user information of the user;

extracting the user information from the application request, and acquiring the identity description information of the user based on the user information;

acquiring target features corresponding to the feature class information from the identity description information based on preset feature class information;

acquiring a target health notification problem corresponding to the target feature from a preset health notification library based on the target feature;

constructing a health notification questionnaire based on the target health notification questions;

the health notification questionnaire is displayed.

Further, the target features include at least a first feature and a second feature; the step of acquiring the target health notification problem corresponding to the target feature from a preset health notification library based on the target feature specifically includes:

acquiring a first health notification problem corresponding to the first feature from the health notification library;

acquiring a second health notification problem corresponding to the second feature from the health notification library;

And integrating the first health notification problem and the second health notification problem to obtain the target health notification problem.

Further, the step of constructing a health notification questionnaire based on the target health notification question specifically includes:

acquiring a preset questionnaire template;

constructing question number sequences respectively corresponding to all target health notification questions according to preset rules;

and filling all the target health notification questions into the questionnaire template based on the question number sequence to obtain the health notification questionnaire.

Further, before the step of acquiring the target health notification problem corresponding to the target feature from a preset health notification library based on the target feature, the method specifically includes:

collecting health notification questions; wherein the number of health notification questions includes a plurality;

receiving feature tag information corresponding to the health notification problem, which is input by a target user;

information labeling is carried out on the health notification problem based on the feature label information, so that a first health notification problem is obtained;

screening a second health notification question with a department keyword from the first health notification questions; wherein the questions other than the second health notification question in the first health notification question are marked as third health notification questions;

Acquiring department interpretation information corresponding to the department keywords;

information labeling is carried out on the second health notification problem based on the department interpretation information, and a fourth health notification problem is obtained;

and storing the third health notification problem and the fourth health notification problem into the health notification library.

Further, the step of storing the third health notification question and the fourth health notification question in the health notification library specifically includes:

acquiring the target number of preset feature marks;

constructing a plurality of storage areas which are the same as the target number in the health notification library;

establishing a one-to-one association relation between the storage areas and the feature marks;

and storing the third health notification problem and the fourth health notification problem in the storage area correspondingly based on the association relation.

Further, after the step of displaying the health notification questionnaire, the method further comprises:

acquiring age information of the user;

judging whether the age information is in a preset numerical range or not;

if yes, generating broadcasting voice corresponding to the health notification questionnaire;

Broadcasting the broadcasting voice.

Further, the step of generating the broadcast voice corresponding to the health notification questionnaire specifically includes:

acquiring area information of the user based on the user information;

acquiring dialect information corresponding to the region information;

and generating broadcasting voice corresponding to the health notification questionnaire based on the dialect information.

In order to solve the above technical problems, the embodiment of the present application further provides a data generating device, which adopts the following technical scheme:

the first receiving module is used for receiving an application request triggered by a user; wherein the application request carries user information of the user;

the first acquisition module is used for extracting the user information from the application request and acquiring the identity description information of the user based on the user information;

the second acquisition module is used for acquiring target features corresponding to the feature category information from the identity description information based on preset feature category information;

the third acquisition module is used for acquiring target health notification problems corresponding to the target features from a preset health notification library based on the target features;

A building module for building a health notification questionnaire based on the target health notification questions;

and the display module is used for displaying the health notification questionnaire.

In order to solve the above technical problems, the embodiment of the present application further provides a computer device, which adopts the following technical schemes:

the health notification questionnaire is displayed.

In order to solve the above technical problems, an embodiment of the present application further provides a computer readable storage medium, which adopts the following technical schemes:

the health notification questionnaire is displayed.

Compared with the prior art, the embodiment of the application has the following main beneficial effects:

the embodiment of the application firstly receives an application request triggered by a user; then extracting the user information from the application request, and acquiring the identity description information of the user based on the user information; then, based on preset feature class information, acquiring target features corresponding to the feature class information from the identity description information; acquiring a target health notification problem corresponding to the target feature from a preset health notification library based on the target feature; constructing a health notification questionnaire further based on the target health notification question; and finally, displaying the health notification questionnaire. According to the application, the user information is acquired from the user-triggered application request, then the crowd characteristics of the user are acquired based on the user information, and then the target health notification questions corresponding to the crowd characteristics of the user are acquired from the health notification library, and the corresponding health notification questionnaire is constructed for display, so that the health notification questionnaire containing the target health notification questions matched with the crowd characteristics of the user is constructed based on the target characteristics of the user, the intelligence and the accuracy of generating the health notification questionnaire are improved, the user can answer the health questions conforming to the conditions of the user according to the health notification questionnaire, the physical examination of the user is effectively improved, and the complaint rate of the user is reduced.

Drawings

In order to more clearly illustrate the solution of the present application, a brief description will be given below of the drawings required for the description of the embodiments of the present application, it being apparent that the drawings in the following description are some embodiments of the present application, and that other drawings may be obtained from these drawings without the exercise of inventive effort for a person of ordinary skill in the art.

FIG. 1 is an exemplary system architecture diagram in which the present application may be applied;

FIG. 2 is a flow chart of one embodiment of a data generation method according to the present application;

FIG. 3 is a schematic diagram of a data generating apparatus according to an embodiment of the present application;

FIG. 4 is a schematic structural diagram of one embodiment of a computer device in accordance with the present application.

Detailed Description

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terminology used in the description of the applications herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application; the terms "comprising" and "having" and any variations thereof in the description of the application and the claims and the description of the drawings above are intended to cover a non-exclusive inclusion. The terms first, second and the like in the description and in the claims or in the above-described figures, are used for distinguishing between different objects and not necessarily for describing a sequential or chronological order.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.

In order to make the person skilled in the art better understand the solution of the present application, the technical solution of the embodiment of the present application will be clearly and completely described below with reference to the accompanying drawings.

As shown in fig. 1, a system architecture 100 may include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 is used as a medium to provide communication links between the terminal devices 101, 102, 103 and the server 105. The network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.

The user may interact with the server 105 via the network 104 using the terminal devices 101, 102, 103 to receive or send messages or the like. Various communication client applications, such as a web browser application, a shopping class application, a search class application, an instant messaging tool, a mailbox client, social platform software, etc., may be installed on the terminal devices 101, 102, 103.

The terminal devices 101, 102, 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smartphones, tablet computers, electronic book readers, MP3 players (Moving Picture Experts Group Audio Layer III, dynamic video expert compression standard audio plane 3), MP4 (Moving Picture Experts Group Audio Layer IV, dynamic video expert compression standard audio plane 4) players, laptop and desktop computers, and the like.

The server 105 may be a server providing various services, such as a background server providing support for pages displayed on the terminal devices 101, 102, 103.

It should be noted that, the data generating method provided by the embodiment of the present application is generally executed by a server/terminal device, and accordingly, the data generating apparatus is generally disposed in the server/terminal device.

The embodiment of the application can acquire and process the related data based on the artificial intelligence technology. Among these, artificial intelligence (Artificial Intelligence, AI) is the theory, method, technique and application system that uses a digital computer or a digital computer-controlled machine to simulate, extend and extend human intelligence, sense the environment, acquire knowledge and use knowledge to obtain optimal results.

Artificial intelligence infrastructure technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technologies, operation/interaction systems, mechatronics, and the like. The artificial intelligence software technology mainly comprises a computer vision technology, a robot technology, a biological recognition technology, a voice processing technology, a natural language processing technology, machine learning/deep learning and other directions.

It should be understood that the number of terminal devices, networks and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.

With continued reference to FIG. 2, a flow chart of one embodiment of a data generation method according to the present application is shown. The order of the steps in the flowchart may be changed and some steps may be omitted according to various needs. The data generation method provided by the embodiment of the application can be applied to any scene needing health notification, and can be applied to products of the scenes, for example, health notification in the field of digital medical treatment. The data generation method comprises the following steps:

step S201, receiving an application request triggered by a user;

In this embodiment, the electronic device (for example, the server/terminal device shown in fig. 1) on which the data generating method operates may acquire the user-triggered application request through a wired connection manner or a wireless connection manner. It should be noted that the wireless connection may include, but is not limited to, 3G/4G/5G connection, wiFi connection, bluetooth connection, wiMAX connection, zigbee connection, UWB (ultra wideband) connection, and other now known or later developed wireless connection. Wherein the application request carries user information of the user. The user information may include name information of the user.

Step S202, extracting the user information from the application request, and acquiring the identity description information of the user based on the user information.

In this embodiment, the user information may be extracted from the application request by performing parsing processing on the application request. And then, carrying out information inquiry about the user based on the user information so as to acquire the identity description information of the user. Wherein the identity description information may include at least age information, gender information, occupation information, and the like.

Step S203, based on preset feature class information, obtains a target feature corresponding to the feature class information from the identity description information.

In this embodiment, the selection of the feature class information is not limited, and may be set according to actual use requirements, for example, may include an age class and a gender class.

Step S204, based on the target characteristics, acquiring target health notification questions corresponding to the target characteristics from a preset health notification library.

In this embodiment, the specific implementation process of the target health notification problem corresponding to the target feature is obtained from a preset health notification library based on the target feature, which will be described in further detail in the following specific embodiments, which will not be described herein.

Step S205, constructing a health notification questionnaire based on the target health notification questions.

In this embodiment, the specific implementation process of constructing the health notification questionnaire based on the target health notification question will be described in further detail in the following specific embodiments, which will not be described herein.

Step S206, displaying the health notification questionnaire.

In this embodiment, when the user performs the insurance application, the generated health notification questionnaire is displayed to the user, so that the user can be guided to perform the question answers of the health notification questionnaire.

Firstly, receiving an application request triggered by a user; then extracting the user information from the application request, and acquiring the identity description information of the user based on the user information; then, based on preset feature class information, acquiring target features corresponding to the feature class information from the identity description information; acquiring a target health notification problem corresponding to the target feature from a preset health notification library based on the target feature; constructing a health notification questionnaire further based on the target health notification question; and finally, displaying the health notification questionnaire. According to the application, the user information is acquired from the user-triggered application request, then the crowd characteristics of the user are acquired based on the user information, and then the target health notification questions corresponding to the crowd characteristics of the user are acquired from the health notification library, and the corresponding health notification questionnaire is constructed for display, so that the health notification questionnaire containing the target health notification questions matched with the crowd characteristics of the user is constructed based on the target characteristics of the user, the intelligence and the accuracy of generating the health notification questionnaire are improved, the user can answer the health questions conforming to the conditions of the user according to the health notification questionnaire, the physical examination of the user is effectively improved, and the complaint rate of the user is reduced.

In some alternative implementations, the target features include at least a first feature and a second feature; step S204 includes the steps of:

and acquiring a first health notification problem corresponding to the first feature from the health notification library.

In the present embodiment, the first feature described above specifically refers to an age feature. The first health notification problem may be obtained by obtaining a health notification problem corresponding to an age characteristic of the user from the health notification library.

And acquiring a second health notification problem corresponding to the second feature from the health notification library.

In this embodiment, the second feature described above specifically refers to a gender feature. The above-described second health notification problem may be obtained by acquiring a health notification problem corresponding to the sex characteristic of the user from the health notification library.

In this embodiment, the above-mentioned target health notification problem is composed of the first health notification problem and the second health notification problem.

The application obtains a first health notification problem corresponding to the first characteristic from the health notification library; then obtaining a second health notification problem corresponding to the second feature from the health notification library; and integrating the first health notification problem and the second health notification problem to obtain the target health notification problem. After the target feature corresponding to the feature type information is acquired from the identity description information of the user, the target health notification problem corresponding to the target feature is intelligently acquired from the preset health notification library, so that the target health notification problem matched with the personal feature of the user is screened out from the health notification library, the accuracy of the target health notification problem is ensured, and the method and the device are favorable for quickly constructing a required health notification questionnaire based on the target health notification problem.

In some alternative implementations of the present embodiment, step S205 includes the steps of:

and acquiring a preset questionnaire template.

In this embodiment, the questionnaire template is a template file constructed according to the actual health notification requirement.

And constructing the question number sequences respectively corresponding to all the target health notification questions according to preset rules.

In this embodiment, the selection of the preset rule is not limited, and the setting may be performed according to the actual question number order determination requirement. Specifically, the number of all the target health notification questions can be obtained, then the numbers which are the same as the number and sequentially increased from 1 are determined, and then the matching processing of the one-to-one relationship is carried out on each target health notification question by using the random so as to randomly allocate a number for each target health notification question to be used as the question number sequence corresponding to each target health notification question.

In this embodiment, the filling order of each target health notification question may be determined according to the order from small to large, and then all the target health notification questions are filled into the questionnaire template based on the filling order, so as to obtain a corresponding health notification questionnaire.

The method comprises the steps of obtaining a preset questionnaire template; then, respectively constructing question number sequences corresponding to all the target health notification questions according to preset rules; and filling all the target health notification questions into the questionnaire template based on the question number sequence to obtain the health notification questionnaire. According to the application, through the use of the questionnaire template and the preset rules, the question number sequences corresponding to all the target health notification questions are constructed, and then all the target health notification questions are filled into the questionnaire template based on the question number sequences, so that the health notification questionnaire which accords with the personal characteristics of the user can be quickly and accurately constructed, and the intelligence and the data accuracy of the generation of the health notification questionnaire are improved.

In some alternative implementations, before step S204, the electronic device may further perform the following steps:

health notification questions are collected.

In this embodiment, the number of the health notification questions includes a plurality of health notification questions, and the health notification questions may be questions meeting the health notification requirements collected according to actual business requirements. For example, the health notification problem may include whether there is jaundice, whether there is gynecological disease, and the like.

And receiving feature tag information corresponding to the health notification problem, which is input by a target user.

In this embodiment, the feature tag information may include various types such as general notification, female notification, male notification, child notification, elderly notification, and crowd notification in a certain area.

And marking the health notification problem based on the feature tag information to obtain a first health notification problem.

In this embodiment, the feature tag information is used to label the health notification problem, so as to construct an association relationship between the feature tag information and the health notification problem.

Screening a second health notification question with a department keyword from the first health notification questions; wherein the questions other than the second health notification question in the first health notification question are marked as third health notification questions.

In this embodiment, the first health notification problem may be subjected to word matching by obtaining a pre-constructed department word, and then using the department word, and the health notification problem matched with the department word may be selected from the first health notification problem and used as the second health notification problem.

And acquiring department interpretation information corresponding to the department keywords.

In this embodiment, for different department keywords, department interpretation information corresponding to the department keywords may be crawled from an open source medical information base of the network in advance, and stored locally for later recall.

And labeling the second health notification problem based on the department interpretation information to obtain a fourth health notification problem.

In this embodiment, the department interpretation information is used to label the second health notification problem, so as to construct an association relationship between the department interpretation information and the health notification problem. Aiming at the health notification problem, the department interpretation information about the department is added in the department of the health notification problem, for example, the relevant diseases corresponding to the department are added, so that the user can conveniently read the problem, and the user experience is improved.

In this embodiment, when the sales plan is formulated, the corresponding health notification library may be defined at the sales plan or the sales plan planning level, and the health notification library has version management. I.e., a sales plan may have multiple sets of health notification libraries. And provides an interface for querying a corresponding list of health notification questions according to the sales plan/sales plan planning code, thereby facilitating structured management and rapid upgrades of health notification questions by the insurer.

The application informs the problem by collecting health; then receiving feature tag information corresponding to the health notification problem, which is input by a target user; then, based on the feature tag information, carrying out information labeling on the health notification questions to obtain first health notification questions, and screening second health notification questions with department keywords from the first health notification questions; subsequently acquiring department interpretation information corresponding to the department keywords, and marking the second health notification problem based on the department interpretation information to obtain a fourth health notification problem; and finally, storing the third health notification problem and the fourth health notification problem into the health notification library. After the health notification problem is collected, the health notification problem is marked by using the feature mark information input by the target user, and the health notification problem with the department keywords is marked by the information based on the department interpretation information, so that the information marking processing of the health notification problem is completed, the health notification problem after the information marking processing is stored in the health notification library, the quick construction of the health notification library is completed, the required health notification problem can be quickly searched based on the use of the health notification library, and the extraction efficiency of the health notification problem is improved.

In some optional implementations, the storing the third health notification question and the fourth health notification question in the health notification library includes the steps of:

and acquiring the target number of the preset feature marks.

In this embodiment, the feature tag may include a general notice, a female notice, a male notice, a child notice, an old man notice, a regional crowd notice, and the like.

Constructing a plurality of storage areas which are the same as the target number in the health notification library.

And establishing a one-to-one association relation between the storage areas and the feature marks.

In this embodiment, the third health notification question and the fourth health notification question may be stored in the storage area by determining the feature markers of the third health notification question and the fourth health notification question, and further based on the association relationship between the feature markers and the storage area.

The method comprises the steps of obtaining the target number of the preset feature marks; then constructing a plurality of storage areas with the same number as the target in the health notification library; then establishing a one-to-one association relation between the storage areas and the feature marks; and storing the third health notification problem and the fourth health notification problem into the storage area correspondingly based on the association relation. According to the application, the plurality of storage areas with the same number as the targets of the feature marks are constructed in the health notification library, and the third health notification problem and the fourth health notification problem are correspondingly stored in the storage areas based on the association relation between the pre-established storage areas and the feature marks, so that the storage normalization and storage intelligence of the health notification problem are effectively improved, and the follow-up query processing based on the storage areas is facilitated, and the extraction efficiency of the health notification problem can be effectively improved.

In some optional implementations of this embodiment, after step S206, the electronic device may further perform the following steps:

and acquiring age information of the user.

In the present embodiment, age information of a user can be acquired by performing information inquiry about the user based on the user information.

And judging whether the age information is in a preset numerical range or not.

In the present embodiment, the values of the above numerical ranges are not limited, and may be set according to actual use requirements, for example, a range over 50 years old.

If yes, generating broadcasting voice corresponding to the health notification questionnaire.

In this embodiment, the specific implementation process of generating the broadcast voice corresponding to the health notification questionnaire will be described in further detail in the following specific embodiments, which will not be described herein.

Broadcasting the broadcasting voice.

In this embodiment, a built-in voice robot may be invoked, and the voice robot may be controlled to broadcast the broadcast voice.

The application obtains the age information of the user; then judging whether the age information is in a preset numerical range or not; if yes, generating broadcasting voice corresponding to the health notification questionnaire; and broadcasting the broadcasting voice subsequently. When the age of the user is detected to be within the preset numerical range, the application can intelligently generate the broadcasting voice corresponding to the health notification questionnaire and provide the question broadcasting service for the user so as to quickly help and guide the user to answer the questions correctly, thereby being beneficial to the user to quickly read and understand the questions and give out correct answers, improving the experience and satisfaction of the user and greatly reducing customer complaints.

In some optional implementations of this embodiment, the generating the broadcast voice corresponding to the health notification questionnaire includes the following steps:

and acquiring the area information of the user based on the user information.

In the present embodiment, the area information of the user can be acquired by performing information inquiry about the user based on the user information.

And acquiring dialect information corresponding to the area information.

In the present embodiment, for example, if the area information of the user is guangzhou, the dialect information corresponding to the area information is cantonese.

In this embodiment, the broadcast voice is generated in a voice format using the dialect information.

The application obtains the regional information of the user based on the user information; then, dialect information corresponding to the area information is acquired; and generating broadcasting voice corresponding to the health notification questionnaire based on the dialect information. According to the method and the device, the dialect information corresponding to the regional information of the user is determined, and the broadcasting voice corresponding to the health notification questionnaire is intelligently generated based on the dialect information, so that the generated broadcasting voice is in the form of the regional dialect conforming to the user, and the intelligence and the accuracy of the generated broadcasting voice are improved. The follow-up broadcasting voice in the form of the regional dialect conforming to the user is used for providing the problem broadcasting service for the user, so that the user can be helped and guided to answer the problem correctly, the user can read and understand the problem quickly, and give out correct answers, the user experience and satisfaction are improved, and customer complaints are reduced greatly.

It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic, and should not limit the implementation process of the embodiment of the present application.

It should be emphasized that to further ensure the privacy and security of the product transformation data, the product transformation data may also be stored in a blockchain node.

The blockchain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, consensus mechanism, encryption algorithm and the like. The Blockchain (Blockchain), which is essentially a decentralised database, is a string of data blocks that are generated by cryptographic means in association, each data block containing a batch of information of network transactions for verifying the validity of the information (anti-counterfeiting) and generating the next block. The blockchain may include a blockchain underlying platform, a platform product services layer, an application services layer, and the like.

Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by computer readable instructions stored in a computer readable storage medium that, when executed, may comprise the steps of the embodiments of the methods described above. The storage medium may be a nonvolatile storage medium such as a magnetic disk, an optical disk, a Read-Only Memory (ROM), or a random access Memory (Random Access Memory, RAM).

It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited in order and may be performed in other orders, unless explicitly stated herein. Moreover, at least some of the steps in the flowcharts of the figures may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order of their execution not necessarily being sequential, but may be performed in turn or alternately with other steps or at least a portion of the other steps or stages.

With further reference to fig. 3, as an implementation of the method shown in fig. 2, the present application provides an embodiment of a data generating apparatus, where the embodiment of the apparatus corresponds to the embodiment of the method shown in fig. 2, and the apparatus is particularly applicable to various electronic devices.

As shown in fig. 3, the data generating apparatus 300 according to the present embodiment includes: a first receiving module 301, a first obtaining module 302, a second obtaining module 303, a third obtaining module 304, a constructing module 305 and a displaying module 306. Wherein:

a first receiving module 301, configured to receive an application request triggered by a user; wherein the application request carries user information of the user;

a first obtaining module 302, configured to extract the user information from the application request, and obtain identity description information of the user based on the user information;

a second obtaining module 303, configured to obtain, based on preset feature class information, a target feature corresponding to the feature class information from the identity description information;

a third obtaining module 304, configured to obtain, based on the target feature, a target health notification problem corresponding to the target feature from a preset health notification library;

A building module 305 for building a health notification questionnaire based on the target health notification questions;

and a display module 306, configured to display the health notification questionnaire.

In this embodiment, the operations performed by the modules or units respectively correspond to the steps of the data generating method in the foregoing embodiment one by one, which is not described herein again.

In some optional implementations of this embodiment, the target features include at least a first feature and a second feature; the third acquisition module 304 includes:

a first obtaining sub-module, configured to obtain a first health notification problem corresponding to the first feature from the health notification library;

a second obtaining sub-module, configured to obtain a second health notification problem corresponding to the second feature from the health notification library;

and the integration sub-module is used for integrating the first health notification problem and the second health notification problem to obtain the target health notification problem.

In some alternative implementations of the present embodiment, the building block 305 includes:

The third acquisition submodule is used for acquiring a preset questionnaire template;

the first construction submodule is used for constructing question number sequences respectively corresponding to all target health notification questions according to preset rules;

and the filling sub-module is used for filling all the target health notification questions into the questionnaire template based on the question number sequence to obtain the health notification questionnaire.

In this embodiment, the operations performed by the modules or units respectively correspond to the steps of the data generating method in the foregoing embodiment one by one, and are not described herein again.

In some optional implementations of the present embodiment, the data generating apparatus further includes:

the collection module is used for collecting health notification problems; wherein the number of health notification questions includes a plurality;

the second receiving module is used for receiving feature tag information corresponding to the health notification problem, which is input by a target user;

the first labeling module is used for labeling the information of the health notification problem based on the characteristic label information to obtain a first health notification problem;

the screening module is used for screening a second health notification problem with a department keyword from the first health notification problem; wherein the questions other than the second health notification question in the first health notification question are marked as third health notification questions;

A fourth obtaining module, configured to obtain department interpretation information corresponding to the department keywords;

the second labeling module is used for labeling information of the second health notification problem based on the department interpretation information to obtain a fourth health notification problem;

and the storage module is used for storing the third health notification problem and the fourth health notification problem into the health notification library.

In some optional implementations of this embodiment, the storage module includes:

a fourth obtaining sub-module, configured to obtain a target number of preset feature labels;

a second construction sub-module for constructing a plurality of storage areas of the same number as the target number in the health notification library;

the establishing sub-module is used for establishing a one-to-one association relation between the storage area and the feature marks;

and the storage sub-module is used for storing the third health notification problem and the fourth health notification problem into the storage area correspondingly based on the association relation.

a fifth acquisition module, configured to acquire age information of the user;

the judging module is used for judging whether the age information is in a preset numerical range or not;

the generation module is used for generating broadcasting voice corresponding to the health notification questionnaire if yes;

and the broadcasting module is used for broadcasting the broadcasting voice.

In some optional implementations of this embodiment, the generating module includes:

a fifth obtaining sub-module, configured to obtain area information of the user based on the user information;

a sixth obtaining sub-module, configured to obtain dialect information corresponding to the area information;

and the generation sub-module is used for generating broadcasting voice corresponding to the health notification questionnaire based on the dialect information.

In order to solve the technical problems, the embodiment of the application also provides computer equipment. Referring specifically to fig. 4, fig. 4 is a basic structural block diagram of a computer device according to the present embodiment.

The computer device 4 comprises a memory 41, a processor 42, a network interface 43 communicatively connected to each other via a system bus. It should be noted that only computer device 4 having components 41-43 is shown in the figures, but it should be understood that not all of the illustrated components are required to be implemented and that more or fewer components may be implemented instead. It will be appreciated by those skilled in the art that the computer device herein is a device capable of automatically performing numerical calculations and/or information processing in accordance with predetermined or stored instructions, the hardware of which includes, but is not limited to, microprocessors, application specific integrated circuits (Application Specific Integrated Circuit, ASICs), programmable gate arrays (fields-Programmable Gate Array, FPGAs), digital processors (Digital Signal Processor, DSPs), embedded devices, etc.

The computer equipment can be a desktop computer, a notebook computer, a palm computer, a cloud server and other computing equipment. The computer equipment can perform man-machine interaction with a user through a keyboard, a mouse, a remote controller, a touch pad or voice control equipment and the like.

The memory 41 includes at least one type of readable storage medium including flash memory, hard disk, multimedia card, card memory (e.g., SD or DX memory, etc.), random Access Memory (RAM), static Random Access Memory (SRAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), programmable Read Only Memory (PROM), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the storage 41 may be an internal storage unit of the computer device 4, such as a hard disk or a memory of the computer device 4. In other embodiments, the memory 41 may also be an external storage device of the computer device 4, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash Card (Flash Card) or the like, which are provided on the computer device 4. Of course, the memory 41 may also comprise both an internal memory unit of the computer device 4 and an external memory device. In this embodiment, the memory 41 is typically used to store an operating system and various application software installed on the computer device 4, such as computer readable instructions of a data generating method. Further, the memory 41 may be used to temporarily store various types of data that have been output or are to be output.

The processor 42 may be a central processing unit (Central Processing Unit, CPU), controller, microcontroller, microprocessor, or other data processing chip in some embodiments. The processor 42 is typically used to control the overall operation of the computer device 4. In this embodiment, the processor 42 is configured to execute computer readable instructions stored in the memory 41 or process data, such as computer readable instructions for executing the data generating method.

The network interface 43 may comprise a wireless network interface or a wired network interface, which network interface 43 is typically used for establishing a communication connection between the computer device 4 and other electronic devices.

in the embodiment of the application, firstly, an application request triggered by a user is received; then extracting the user information from the application request, and acquiring the identity description information of the user based on the user information; then, based on preset feature class information, acquiring target features corresponding to the feature class information from the identity description information; acquiring a target health notification problem corresponding to the target feature from a preset health notification library based on the target feature; constructing a health notification questionnaire further based on the target health notification question; and finally, displaying the health notification questionnaire. According to the application, the user information is acquired from the user-triggered application request, then the crowd characteristics of the user are acquired based on the user information, and then the target health notification questions corresponding to the crowd characteristics of the user are acquired from the health notification library, and the corresponding health notification questionnaire is constructed for display, so that the health notification questionnaire containing the target health notification questions matched with the crowd characteristics of the user is constructed based on the target characteristics of the user, the intelligence and the accuracy of generating the health notification questionnaire are improved, the user can answer the health questions conforming to the conditions of the user according to the health notification questionnaire, the physical examination of the user is effectively improved, and the complaint rate of the user is reduced.

The present application also provides another embodiment, namely, a computer-readable storage medium storing computer-readable instructions executable by at least one processor to cause the at least one processor to perform the steps of the data generation method as described above.

From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method according to the embodiments of the present application.

It is apparent that the above-described embodiments are only some embodiments of the present application, but not all embodiments, and the preferred embodiments of the present application are shown in the drawings, which do not limit the scope of the patent claims. This application may be embodied in many different forms, but rather, embodiments are provided in order to provide a thorough and complete understanding of the present disclosure. Although the application has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described in the foregoing description, or equivalents may be substituted for elements thereof. All equivalent structures made by the content of the specification and the drawings of the application are directly or indirectly applied to other related technical fields, and are also within the scope of the application.

Claims

1. A data generation method, comprising the steps of:

the health notification questionnaire is displayed.

2. The data generation method according to claim 1, wherein the target features include at least a first feature and a second feature; the step of acquiring the target health notification problem corresponding to the target feature from a preset health notification library based on the target feature specifically includes:

3. The method of claim 1, wherein the step of constructing a health notification questionnaire based on the target health notification question specifically comprises:

acquiring a preset questionnaire template;

4. The method according to claim 1, wherein before the step of acquiring the target health notification question corresponding to the target feature from a preset health notification library based on the target feature, the method specifically comprises:

5. The method of claim 4, wherein the step of storing the third health notification question and the fourth health notification question in the health notification library comprises:

acquiring the target number of preset feature marks;

6. The data generation method according to claim 1, characterized by further comprising, after the step of presenting the health notification questionnaire:

acquiring age information of the user;

judging whether the age information is in a preset numerical range or not;

broadcasting the broadcasting voice.

7. The method of claim 6, wherein the step of generating the broadcast voice corresponding to the health notification questionnaire specifically comprises:

acquiring area information of the user based on the user information;

acquiring dialect information corresponding to the region information;

8. A data generating apparatus, comprising:

9. A computer device comprising a memory having stored therein computer readable instructions which when executed by a processor implement the steps of the data generation method of any of claims 1 to 7.

10. A computer-readable storage medium, having stored thereon computer-readable instructions which, when executed by a processor, implement the steps of the data generation method of any of claims 1 to 7.