CN115983234A - Health questionnaire analysis method, device, equipment and storage medium - Google Patents
Health questionnaire analysis method, device, equipment and storage medium Download PDFInfo
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Abstract
The invention relates to an artificial intelligence technology in the field of digital medical treatment, and discloses a health questionnaire analysis method, which comprises the following steps: adding dimension health attributes to health problems in a health evaluation question bank, monitoring the health problems with the changed dimension health attributes in the health evaluation question bank to obtain target questions, obtaining relevant questionnaires of the target titles, detecting questionnaire states of the relevant questionnaires, updating questionnaire versions of the relevant questionnaires based on the questionnaire states to obtain standard relevant questionnaires, receiving questionnaire analysis instructions, selecting the standard relevant questionnaires based on the questionnaire analysis instructions to perform questionnaire analysis, and obtaining questionnaire analysis results. The invention also relates to a blockchain technology, and the questionnaire analysis result can be stored in a node of the blockchain. The invention also provides a health questionnaire analysis device, an electronic device and a readable storage medium. The invention can improve the accuracy of health questionnaire analysis.
Description
Technical Field
The invention relates to the technical field of digital medical treatment and artificial intelligence, in particular to a health questionnaire analysis method and device, electronic equipment and a readable storage medium.
Background
With the development of digital technology, the way of information collection is continuously expanded, for example, collecting data through an electronic questionnaire. In the field of digital medical treatment, the health information of the user is collected through the health questionnaire, so that the real-time filling and recovery of the health answer sheet can be realized, and the statistical processing and analysis are facilitated.
In the prior art, after different questionnaires are issued by a questionnaire platform, each questionnaire is managed and analyzed independently. The prior art has the following defects: 1. because each questionnaire is managed independently, when the problem attribute is changed, the uniformity of the same question of different questionnaires is difficult to ensure, so that the questionnaire analysis is not accurate enough; 2. in the statistical analysis, different questionnaires and questionnaires of different versions of the same questionnaire cannot be comprehensively analyzed, and the questionnaire analysis efficiency is low.
Disclosure of Invention
The invention provides a health questionnaire analysis method, a health questionnaire analysis device, electronic equipment and a readable storage medium, and mainly aims to improve the accuracy of health questionnaire analysis.
In order to achieve the above object, the present invention provides a health questionnaire analysis method, comprising:
adding dimension health attributes to the health problems in the health evaluation question bank;
monitoring the health problems with the dimensional health attributes changing in the health evaluation question library to obtain target questions, and obtaining a relevant questionnaire of the target questions;
detecting the questionnaire state of the associated questionnaire, and updating the questionnaire version of the associated questionnaire based on the questionnaire state to obtain a standard associated questionnaire;
and receiving a questionnaire analysis instruction, and selecting the standard associated questionnaire based on the questionnaire analysis instruction to perform questionnaire analysis to obtain a questionnaire analysis result.
Optionally, the adding of the dimension health attribute to the health questions in the health evaluation question bank includes:
performing word segmentation processing on the health problems in the health evaluation question bank in sequence to obtain question word segmentation;
utilizing a pre-constructed entity identification model to perform entity identification on the topic segmentation to obtain a topic entity;
and utilizing the topic entity to match a pre-constructed topic health dimension table, and adding the successfully matched health label as the dimension health attribute of the health problem corresponding to the topic entity.
Optionally, after the topic entity is used to match the pre-constructed topic health dimension table, the method further includes:
and if the matching of the topic entity and the pre-constructed topic health dimension table fails, reporting an error to a preset terminal, receiving an adjustment label sent by the preset terminal, and taking the adjustment label as a health dimension label of a health topic corresponding to the topic entity.
Optionally, the monitoring the health problem of which the dimension health attribute changes in the health evaluation question bank to obtain a target question and obtain an associated questionnaire of the target question includes:
monitoring the health problems in the health evaluation question bank by using a preset attribute monitoring event;
and determining the health questions with the changed dimension health attributes as target questions, and acquiring all associated questionnaires for referring to the target questions by using a preset data port.
Optionally, the updating the questionnaire version of the associated questionnaire based on the questionnaire state to obtain a standard associated questionnaire includes:
if the questionnaire state of the associated questionnaire is the planned release, updating the dimension health attribute of the target question in the associated questionnaire by using the changed dimension health attribute to obtain a standard associated questionnaire;
and if the questionnaire state of the associated questionnaire is finished or in the process of collection, constructing a new version questionnaire of the associated questionnaire, and updating the dimension health attribute of the target question in the new version questionnaire by using the changed dimension health attribute to obtain a standard associated questionnaire.
Optionally, after the dimension health attribute of the target question in the new version questionnaire is updated by using the changed dimension health attribute to obtain a standard associated questionnaire, the method further includes:
and pushing the standard associated questionnaire to a target user based on preset issuing time.
Optionally, the selecting the standard-associated questionnaire based on the questionnaire analysis instruction to perform questionnaire analysis to obtain a questionnaire analysis result includes:
selecting the health questions added with the dimension health attributes as to-be-analyzed questions based on the questionnaire analysis instructions;
acquiring a correlation questionnaire and a standard correlation questionnaire of the problem to be analyzed;
performing problem index statistics on the correlation questionnaire and the standard correlation questionnaire of the problem to be analyzed to obtain a problem index result;
performing attribute index statistics on the correlation questionnaire and the standard correlation questionnaire of the problem to be analyzed to obtain an attribute index result;
and summarizing the problem index result and the attribute index result to obtain the questionnaire analysis result.
In order to solve the above problems, the present invention also provides a health questionnaire analysis device, comprising:
the attribute adding module is used for adding dimension health attributes to the health problems in the health evaluation question bank;
the question monitoring module is used for monitoring the health questions with the dimension health attributes changing in the health evaluation question library to obtain target questions and obtain associated questionnaires of the target questions;
the questionnaire updating module is used for detecting the questionnaire state of the associated questionnaire and updating the questionnaire version of the associated questionnaire based on the questionnaire state to obtain a standard associated questionnaire;
and the questionnaire analysis module is used for receiving a questionnaire analysis instruction, selecting the standard associated questionnaire based on the questionnaire analysis instruction and carrying out questionnaire analysis to obtain a questionnaire analysis result.
In order to solve the above problem, the present invention also provides an electronic device, including:
a memory storing at least one computer program; and
a processor executing the computer program stored in the memory to implement the health questionnaire analysis method described above.
In order to solve the above problem, the present invention further provides a computer-readable storage medium, in which at least one computer program is stored, and the at least one computer program is executed by a processor in an electronic device to implement the health questionnaire analysis method described above.
According to the invention, the dimension health attribute is added to the health problems in the health evaluation question bank, and the problems in the associated questionnaires are synchronously updated by monitoring the change of the dimension health attribute in the standard health evaluation question bank, so that the consistency of the same problem in different associated questionnaires is ensured, and the accuracy of questionnaire analysis is improved. And through the dimension health attribute, unified analysis of different associated questionnaires can be realized from the subject dimension, and the questionnaire analysis efficiency is improved. Therefore, the health questionnaire analysis method, the health questionnaire analysis device, the electronic equipment and the computer-readable storage medium provided by the invention can improve the accuracy of health questionnaire analysis.
Drawings
Fig. 1 is a schematic flow chart of a health questionnaire analysis method according to an embodiment of the present invention;
FIG. 2 is a functional block diagram of a health questionnaire analysis device according to an embodiment of the invention;
fig. 3 is a schematic structural diagram of an electronic device for implementing the health questionnaire analysis method according to an embodiment of the present invention.
The implementation, functional features and advantages of the present invention will be further described with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and do not limit the invention.
The embodiment of the invention provides a health questionnaire analysis method. The executing subject of the health questionnaire analysis method includes, but is not limited to, at least one of the electronic devices that can be configured to execute the method provided by the embodiment of the present invention, such as a server, a terminal, and the like. In other words, the health questionnaire analysis method may be executed by software or hardware installed in the terminal device or the server device, and the software may be a block chain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like. The server may be an independent server, or may be a cloud server that provides basic cloud computing services such as a cloud service, a cloud database, cloud computing, a cloud function, cloud storage, a Network service, cloud communication, a middleware service, a domain name service, a security service, a Content Delivery Network (CDN), a big data and artificial intelligence platform, and the like.
Fig. 1 is a schematic flow chart of a health questionnaire analysis method according to an embodiment of the present invention. In this embodiment, the health questionnaire analysis method includes the following steps S1 to S4:
s1, adding dimension health attributes to health problems in a health evaluation question bank.
In the embodiment of the invention, the health evaluation question bank comprises different types of health evaluation questions. Such as multiple choice questions, single choice questions, etc. The dimension health attribute is used for identifying the relationship between the questions and different dimension health evaluation indexes. For example, the dimension health attributes may include: the topic hierarchical relationship, the topic mean value, the questionnaire label and the like under different dimensions such as physical, economic, occupation, social, cognitive, mental and emotional. The topic hierarchical relationship refers to a health dimension to which the topic specifically belongs (for example, topic 1 is a health assessment question about legs, and the topic hierarchical relationship is "body-leg"), the topic mean refers to a threshold for dividing people (for example, topic 1 mean is 60, healthy higher than 60, and unhealthy lower than 60), and the questionnaire label refers to a questionnaire identifier referring to the topic.
In detail, the adding of the dimension health attribute to the health questions in the health evaluation question bank includes:
performing word segmentation processing on the health problems in the health evaluation question bank in sequence to obtain question words;
utilizing a pre-constructed entity recognition model to perform entity recognition on the topic segmentation to obtain a topic entity;
and utilizing the topic entity to match a pre-constructed topic health dimension table, and adding the successfully matched health label as the dimension health attribute of the health problem corresponding to the topic entity.
In an optional embodiment of the present invention, the pre-constructed entity identification model may be a Bi-LSTM + CRF model. The pre-constructed topic health dimension table comprises corresponding relations between topic entities and health labels, wherein the health labels comprise topic hierarchical relations, topic mean values, questionnaire labels and the like. Firstly, segmenting the topic (jieba segmentation and the like), then obtaining the topic identification entity of each segmented term by using an entity identification model, and then obtaining a corresponding health label as a dimension health attribute by matching with the topic entity in the topic health dimension table (keyword matching and the like).
In another optional example of the present invention, after the topic health dimension table is matched with the topic entity, the method further includes:
and if the matching of the topic entity and the pre-constructed topic health dimension table fails, reporting an error to a preset terminal, receiving an adjustment label sent by the preset terminal, and taking the adjustment label as a health dimension label of a health topic corresponding to the topic entity.
In the embodiment of the invention, the health dimension label of the question is automatically added through the model, so that the efficiency of marking the question is greatly improved, and meanwhile, when the model cannot be accurately identified, the accuracy of adding the dimension health attribute of the question is also ensured through manual modification.
S2, monitoring the health problems with the dimensional health attributes changing in the health evaluation question bank to obtain target questions, and obtaining the relevant questionnaires of the target questions.
In the embodiment of the invention, editing is not allowed after the topic hierarchical relationship of the dimension health attribute is established, and uniqueness is kept; the topic mean of the dimension health attribute allows editing; the questionnaire label of dimension health attribute is associated with the title, only allows the editing of the label text, and does not allow the editing after the label coding and title relation is established, thus keeping uniqueness. Therefore, in order to ensure that the dimension health attribute of the subject can be synchronously conducted to the associated questionnaire, the dimension health attribute of each standard health problem is monitored in real time.
In detail, the monitoring of the health problem with the changed dimension health attribute in the health evaluation question bank to obtain a target question and obtain an associated questionnaire of the target question includes:
monitoring the health problems in the health evaluation question bank by using a preset attribute monitoring event;
and determining the health questions with the changed dimension health attributes as target questions, and acquiring all associated questionnaires for referring to the target questions by using a preset data port.
In the embodiment of the invention, the standard health problem of dimensional health attribute change is captured in real time through the pre-constructed attribute monitoring event (such as the health monitoring event), so that the synchronism of the associated questionnaire is ensured, and the accuracy of questionnaire analysis is improved.
And S3, detecting the questionnaire state of the associated questionnaire, and updating the questionnaire version of the associated questionnaire based on the questionnaire state to obtain a standard associated questionnaire.
In the embodiment of the present invention, the questionnaire states of the associated questionnaire include a "planned release" state, an "ended" state, and a "collected" state. Wherein the "publish-plan" state refers to the associated questionnaire referencing the target question being edited, or being in a draft state; the "ended" state means that the associated questionnaire referring to the target question has collected the answers to the questions; the "in-collection" state refers to the associated questionnaire that references the target question having been sent to the user, the user's answers being collected.
In detail, the updating the questionnaire version of the associated questionnaire based on the questionnaire state to obtain a standard associated questionnaire includes:
if the questionnaire state of the associated questionnaire is planned release, updating the dimension health attribute of the target question in the associated questionnaire by using the changed dimension health attribute to obtain a standard associated questionnaire;
and if the questionnaire state of the associated questionnaire is finished or in the process of collection, constructing a new version questionnaire of the associated questionnaire, and updating the dimension health attribute of the target question in the new version questionnaire by using the changed dimension health attribute to obtain a standard associated questionnaire.
In an optional embodiment of the present invention, after the dimension health attribute of each topic is edited, the implementation logic for maintaining consistency in each associated questionnaire is as follows:
1. when the associated questionnaire is in a draft or plan publishing state, immediately updating the related dimension health attribute of the question;
2. and when the associated questionnaire is in an ended state or a collection middle state, adding a new version for the questionnaire, and updating the related dimension health attribute of the question in the new version.
In another optional embodiment of the present invention, after the dimension health attribute of the target question in the new version questionnaire is updated by using the changed dimension health attribute to obtain a standard associated questionnaire, the method further includes:
and pushing the standard associated questionnaire to a target user based on preset release time.
In the embodiment of the invention, the dimension health attributes of all the state-associated questionnaires are synchronously updated, so that the dimension health questionnaires can use the completely same dimension health attributes in the same time region, and the accuracy of questionnaire analysis is improved.
For example, after topic optimization, in the dimension health attribute, the mean value of topic 1 is changed from 60 (higher than 60 for healthy and not higher than 60 for unhealthy) to 70 (higher than 70 for healthy and not higher than 70 for unhealthy), and then the associated questionnaires of all topics 1 are synchronously adjusted, so that the consistency and timeliness of all questionnaires are maintained, and the accuracy of questionnaire analysis is improved.
And S4, receiving a questionnaire analysis instruction, and selecting the standard associated questionnaire based on the questionnaire analysis instruction to perform questionnaire analysis to obtain a questionnaire analysis result.
In detail, the selecting the standard associated questionnaire based on the questionnaire analysis instruction to perform questionnaire analysis to obtain a questionnaire analysis result includes:
selecting the health questions added with the dimension health attributes as to-be-analyzed questions based on the questionnaire analysis instructions;
acquiring a correlation questionnaire and a standard correlation questionnaire of the problem to be analyzed;
performing problem index statistics on the correlation questionnaire and the standard correlation questionnaire of the problem to be analyzed to obtain a problem index result;
performing attribute index statistics on the correlation questionnaire and the standard correlation questionnaire of the problem to be analyzed to obtain an attribute index result;
and summarizing the problem index result and the attribute index result to obtain the questionnaire analysis result.
In an optional embodiment of the invention, health problems are selected from a health evaluation question bank as the problems to be analyzed, and for each problem to be analyzed, problem index comprehensive statistics can be performed on each associated questionnaire and all question answer papers of each version of each associated questionnaire from question dimensions to obtain a problem index result (such as question score variance, extreme value and the like); meanwhile, questionnaires of the same question and different versions can be tracked, the change of the attribute indexes is analyzed, attribute index results (such as index mean change) are obtained, the study and judgment of the questionnaire-unavailable pushing objects are realized, and the label offset of each circle layer is analyzed.
According to the invention, the dimension health attribute is added to the health problems in the health evaluation question bank, and the problems in the associated questionnaires are synchronously updated by monitoring the change of the dimension health attribute in the standard health evaluation question bank, so that the consistency of the same problem in different associated questionnaires is ensured, and the accuracy of questionnaire analysis is improved. And through the dimension health attribute, unified analysis of different associated questionnaires can be realized from the subject dimension, and the questionnaire analysis efficiency is improved. Therefore, the health questionnaire analysis method provided by the invention can improve the accuracy of health questionnaire analysis.
Fig. 2 is a functional block diagram of a health questionnaire analysis apparatus according to an embodiment of the present invention.
The health questionnaire analysis device 100 according to the present invention can be installed in an electronic device. According to the implemented functions, the health questionnaire analysis apparatus 100 may include an attribute adding module 101, a topic monitoring module 102, a questionnaire updating module 103, and a questionnaire analysis module 104. The module of the present invention, which may also be referred to as a unit, refers to a series of computer program segments that can be executed by a processor of an electronic device and can perform a fixed function, and are stored in a memory of the electronic device.
In the present embodiment, the functions regarding the respective modules/units are as follows:
the attribute adding module 101 is used for adding dimension health attributes to the health problems in the health evaluation question bank;
the question monitoring module 102 is configured to monitor a health question with a changed dimension health attribute in the health evaluation question library to obtain a target question, and obtain an associated questionnaire of the target question;
the questionnaire updating module 103 is configured to detect a questionnaire state of the associated questionnaire, update a questionnaire version of the associated questionnaire based on the questionnaire state, and obtain a standard associated questionnaire;
the questionnaire analysis module 104 is configured to receive a questionnaire analysis instruction, select the standard associated questionnaire based on the questionnaire analysis instruction, and perform questionnaire analysis to obtain a questionnaire analysis result.
Specifically, the health questionnaire analysis apparatus 100 includes the following modules:
step one, adding dimension health attributes to health problems in a health evaluation question bank.
In the embodiment of the invention, the health evaluation question bank comprises different types of health evaluation questions. Such as multiple choice questions, single choice questions, etc. The dimension health attribute is used for identifying the relationship between the questions and different dimension health evaluation indexes. For example, the dimension health attributes may include: the topic hierarchical relationship, the topic mean value, the questionnaire label and the like under different dimensions such as physical, economic, occupation, social, cognitive, mental and emotional. The topic hierarchical relationship refers to a health dimension to which the topic belongs specifically (for example, if topic 1 is a health assessment question about legs, the topic hierarchical relationship is "body-leg"), the topic mean refers to a threshold for dividing people (for example, if topic 1 mean is 60, healthy if over 60, unhealthy if not over 60), and the questionnaire tag refers to a questionnaire identifier referring to the topic.
In detail, the adding of the dimension health attribute to the health questions in the health evaluation question bank includes:
performing word segmentation processing on the health problems in the health evaluation question bank in sequence to obtain question words;
utilizing a pre-constructed entity identification model to perform entity identification on the topic segmentation to obtain a topic entity;
and utilizing the topic entity to match a pre-constructed topic health dimension table, and adding the successfully matched health label as the dimension health attribute of the health problem corresponding to the topic entity.
In an optional embodiment of the present invention, the pre-constructed entity identification model may be a Bi-LSTM + CRF model. The pre-constructed topic health dimension table comprises corresponding relations between topic entities and health labels, wherein the health labels comprise topic hierarchical relations, topic mean values, questionnaire labels and the like. Firstly, the topic is segmented (jieba segmentation and the like), then an entity identification model is utilized to obtain the topic identification entity of each segmented word, and then the corresponding health label is obtained as the dimension health attribute by matching (keyword matching and the like) with the topic entity in the topic health dimension table.
In another optional example of the present invention, after the topic health dimension table is matched with the topic entity, the method further includes:
and if the matching of the topic entity and the pre-constructed topic health dimension table fails, reporting an error to a preset terminal, receiving an adjustment label sent by the preset terminal, and taking the adjustment label as a health dimension label of a health topic corresponding to the topic entity.
In the embodiment of the invention, the health dimension label of the question is automatically added through the model, so that the efficiency of marking the question is greatly improved, and meanwhile, when the model cannot be accurately identified, the accuracy of adding the dimension health attribute of the question is also ensured through manual modification.
And step two, monitoring the health problems with the dimensional health attributes changing in the health evaluation question bank to obtain target questions, and obtaining the associated questionnaires of the target questions.
In the embodiment of the invention, editing is not allowed after the topic hierarchical relationship of the dimension health attribute is established, and uniqueness is kept; the topic mean of the dimension health attribute allows editing; the questionnaire label of dimension health attribute is associated with the title, only allows the editing of the label text, and does not allow the editing after the label coding and title relation is established, thus keeping uniqueness. Therefore, in order to ensure that the dimension health attribute of the subject can be synchronously transmitted to the associated questionnaire, the dimension health attribute of each standard health question is monitored in real time.
In detail, the monitoring of the health problem with the changed dimension health attribute in the health evaluation question bank to obtain a target question and obtain an associated questionnaire of the target question includes:
monitoring the health problems in the health evaluation question bank by using a preset attribute monitoring event;
and determining the health questions with the changed dimension health attributes as target questions, and acquiring all associated questionnaires for referring to the target questions by using a preset data port.
In the embodiment of the invention, the standard health problem of dimensional health attribute change is captured in real time through the pre-constructed attribute monitoring event (such as the health monitoring event), so that the synchronism of the associated questionnaire is ensured, and the accuracy of questionnaire analysis is improved.
And step three, detecting the questionnaire state of the associated questionnaire, updating the questionnaire version of the associated questionnaire based on the questionnaire state, and obtaining a standard associated questionnaire.
In the embodiment of the present invention, the questionnaire states of the associated questionnaire include a "planned release" state, an "ended" state, and a "collected" state. Wherein the "publish-plan" state refers to the associated questionnaire referencing the target question being edited, or being in a draft state; the "ended" state means that the associated questionnaire referring to the target question has collected the answers to the questions; the "in-collection" state refers to the associated questionnaire that references the target question having been sent to the user, the user's answers being collected.
In detail, the updating the questionnaire version of the associated questionnaire based on the questionnaire state to obtain a standard associated questionnaire includes:
if the questionnaire state of the associated questionnaire is planned release, updating the dimension health attribute of the target question in the associated questionnaire by using the changed dimension health attribute to obtain a standard associated questionnaire;
and if the questionnaire state of the associated questionnaire is finished or in the process of collection, constructing a new version questionnaire of the associated questionnaire, and updating the dimension health attribute of the target question in the new version questionnaire by using the changed dimension health attribute to obtain a standard associated questionnaire.
In an optional embodiment of the present invention, after the dimension health attribute of each topic is edited, the implementation logic for maintaining consistency in each associated questionnaire is as follows:
1. when the associated questionnaire is in a draft or plan publishing state, immediately updating the related dimension health attribute of the question;
2. and when the associated questionnaire is in a finished state or a collection state, adding a new version for the questionnaire, and updating the related dimension health attribute of the question in the new version.
In another optional embodiment of the present invention, after the dimension health attribute of the target question in the new version questionnaire is updated by using the changed dimension health attribute to obtain a standard associated questionnaire, the method further includes:
and pushing the standard associated questionnaire to a target user based on preset release time.
In the embodiment of the invention, the dimension health attributes of all the state-associated questionnaires are synchronously updated, so that the dimension health questionnaires can use the completely same dimension health attributes in the same time region, and the accuracy of questionnaire analysis is improved.
For example, after topic optimization, in the dimension health attribute, the mean value of topic 1 is changed from 60 (higher than 60 for healthy and not higher than 60 for unhealthy) to 70 (higher than 70 for healthy and not higher than 70 for unhealthy), and then the associated questionnaires of all topics 1 are synchronously adjusted, so that the consistency and timeliness of all questionnaires are maintained, and the accuracy of questionnaire analysis is improved.
And step four, receiving a questionnaire analysis instruction, and selecting the standard associated questionnaire based on the questionnaire analysis instruction to perform questionnaire analysis to obtain a questionnaire analysis result.
In detail, the selecting the standard associated questionnaire based on the questionnaire analysis instruction to perform questionnaire analysis to obtain a questionnaire analysis result includes:
selecting the health questions added with the dimension health attributes as the questions to be analyzed based on the questionnaire analysis instructions;
acquiring a correlation questionnaire and a standard correlation questionnaire of the problem to be analyzed;
performing problem index statistics on the correlation questionnaire and the standard correlation questionnaire of the problem to be analyzed to obtain a problem index result;
performing attribute index statistics on the correlation questionnaire and the standard correlation questionnaire of the problem to be analyzed to obtain an attribute index result;
and summarizing the problem index result and the attribute index result to obtain the questionnaire analysis result.
In an optional embodiment of the invention, health problems are selected from a health evaluation question bank as the problems to be analyzed, and for each problem to be analyzed, problem index comprehensive statistics can be performed on each associated questionnaire and all question answer papers of each version of each associated questionnaire from question dimensions to obtain a problem index result (such as question score variance, extreme value and the like); meanwhile, questionnaires of the same question and different versions can be tracked, the change of the attribute indexes is analyzed, attribute index results (such as index mean change) are obtained, the study and judgment of the questionnaire-unavailable pushing objects are realized, and the label offset of each circle layer is analyzed.
According to the invention, the dimension health attribute is added to the health problems in the health evaluation question bank, and the problems in the associated questionnaires are synchronously updated by monitoring the change of the dimension health attribute in the standard health evaluation question bank, so that the consistency of the same problem in different associated questionnaires is ensured, and the accuracy of questionnaire analysis is improved. And through the dimension health attribute, unified analysis of different associated questionnaires can be realized from the subject dimension, and the questionnaire analysis efficiency is improved. Therefore, the health questionnaire analysis device provided by the invention can improve the accuracy of the health questionnaire analysis
Fig. 3 is a schematic structural diagram of an electronic device for implementing the health questionnaire analysis method according to an embodiment of the present invention.
The electronic device may include a processor 10, a memory 11, a communication interface 12, and a bus 13, and may further include a computer program, such as a health questionnaire analysis program, stored in the memory 11 and executable on the processor 10.
The memory 11 includes at least one type of readable storage medium, which includes flash memory, removable hard disk, multimedia card, card-type memory (e.g., SD or DX memory, etc.), magnetic memory, magnetic disk, optical disk, etc. The memory 11 may in some embodiments be an internal storage unit of the electronic device, for example a removable hard disk of the electronic device. The memory 11 may also be an external storage device of the electronic device in other embodiments, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, provided on the electronic device. Further, the memory 11 may also include both an internal storage unit and an external storage device of the electronic device. The memory 11 may be used not only to store application software installed in the electronic device and various types of data, such as codes of a health questionnaire analysis program, but also to temporarily store data that has been output or is to be output.
The processor 10 may be composed of an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or may be composed of a plurality of integrated circuits packaged with the same or different functions, including one or more Central Processing Units (CPUs), microprocessors, digital Processing chips, graphics processors, and combinations of various control chips. The processor 10 is a Control Unit (Control Unit) of the electronic device, connects various components of the electronic device by using various interfaces and lines, and executes various functions and processes data of the electronic device by running or executing programs or modules (e.g., health questionnaire analysis programs, etc.) stored in the memory 11 and calling data stored in the memory 11.
The communication interface 12 is used for communication between the electronic device and other devices, and includes a network interface and a user interface. Optionally, the network interface may include a wired interface and/or a wireless interface (e.g., WI-FI interface, bluetooth interface, etc.), which are commonly used to establish a communication connection between the electronic device and other electronic devices. The user interface may be a Display (Display), an input unit, such as a Keyboard (Keyboard), and optionally a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, or the like. The display, which may also be referred to as a display screen or display unit, is suitable, among other things, for displaying information processed in the electronic device and for displaying a visualized user interface.
The bus 13 may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus 13 may be divided into an address bus, a data bus, a control bus, etc. The bus 13 is arranged to enable connection communication between the memory 11 and at least one processor 10 or the like.
Fig. 3 shows only an electronic device having components, and those skilled in the art will appreciate that the structure shown in fig. 3 does not constitute a limitation of the electronic device, and may include fewer or more components than those shown, or some components may be combined, or a different arrangement of components.
For example, although not shown, the electronic device may further include a power supply (such as a battery) for supplying power to each component, and preferably, the power supply may be logically connected to the at least one processor 10 through a power management device, so that functions of charge management, discharge management, power consumption management and the like are realized through the power management device. The power supply may also include any component of one or more dc or ac power sources, recharging devices, power failure detection circuitry, power converters or inverters, power status indicators, and the like. The electronic device may further include various sensors, a bluetooth module, a Wi-Fi module, and the like, which are not described herein again.
Further, the electronic device may further include a network interface, and optionally, the network interface may include a wired interface and/or a wireless interface (such as a WI-FI interface, a bluetooth interface, etc.), which are generally used to establish a communication connection between the electronic device and other electronic devices.
Optionally, the electronic device may further comprise a user interface, which may be a Display (Display), an input unit, such as a Keyboard (Keyboard), and optionally a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, or the like. The display, which may also be referred to as a display screen or display unit, is suitable, among other things, for displaying information processed in the electronic device and for displaying a visualized user interface.
It is to be understood that the embodiments described are illustrative only and are not to be construed as limiting the scope of the claims.
The health questionnaire analysis program stored in the memory 11 of the electronic device is a combination of instructions that, when executed in the processor 10, can implement:
adding dimension health attributes to the health problems in the health evaluation question bank;
monitoring the health problems with the dimensional health attributes changing in the health evaluation question library to obtain target questions, and obtaining a relevant questionnaire of the target questions;
detecting the questionnaire state of the associated questionnaire, and updating the questionnaire version of the associated questionnaire based on the questionnaire state to obtain a standard associated questionnaire;
and receiving a questionnaire analysis instruction, and selecting the standard associated questionnaire based on the questionnaire analysis instruction to perform questionnaire analysis to obtain a questionnaire analysis result.
Specifically, the specific implementation method of the processor 10 for the instruction may refer to the description of the relevant steps in the embodiment corresponding to the drawing, and is not repeated here.
Further, the electronic device integrated module/unit, if implemented in the form of a software functional unit and sold or used as a separate product, may be stored in a computer readable storage medium. The computer readable storage medium may be volatile or non-volatile. For example, the computer-readable medium may include: any entity or device capable of carrying said computer program code, recording medium, U-disk, removable hard disk, magnetic disk, optical disk, computer Memory, read-Only Memory (ROM).
The present invention also provides a computer-readable storage medium, storing a computer program which, when executed by a processor of an electronic device, may implement:
adding dimension health attributes to health problems in a health evaluation question bank;
monitoring the health problems with dimension health attributes changing in the health evaluation question library to obtain target questions, and obtaining questionnaires related to the target questions;
detecting the questionnaire state of the associated questionnaire, and updating the questionnaire version of the associated questionnaire based on the questionnaire state to obtain a standard associated questionnaire;
and receiving a questionnaire analysis instruction, and selecting the standard associated questionnaire based on the questionnaire analysis instruction to perform questionnaire analysis to obtain a questionnaire analysis result.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method can be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and other divisions may be realized in practice.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional module.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof.
The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
The embodiment of the invention can acquire and process related data based on an artificial intelligence technology. Among them, artificial Intelligence (AI) is a theory, method, technique and application system that simulates, extends and expands human Intelligence using a digital computer or a machine controlled by a digital computer, senses the environment, acquires knowledge and uses the knowledge to obtain the best result.
The artificial intelligence infrastructure generally includes 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 the like.
The block chain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like. A block chain (Blockchain), which is essentially a decentralized database, is a series of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, so as to verify the validity (anti-counterfeiting) of the information and generate a next block. The blockchain may include a blockchain underlying platform, a platform product service layer, an application service layer, and the like.
Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or means recited in the system claims may also be implemented by one unit or means in software or hardware. The terms second, etc. are used to denote names, but not any particular order.
Finally, it should be noted that the above embodiments are only intended to illustrate the technical solutions of the present invention and not to limit the same, and although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (10)
1. A method for health questionnaire analysis, the method comprising:
adding dimension health attributes to the health problems in the health evaluation question bank;
monitoring the health problems with the dimensional health attributes changing in the health evaluation question library to obtain target questions, and obtaining a relevant questionnaire of the target questions;
detecting the questionnaire state of the associated questionnaire, and updating the questionnaire version of the associated questionnaire based on the questionnaire state to obtain a standard associated questionnaire;
and receiving a questionnaire analysis instruction, and selecting the standard associated questionnaire based on the questionnaire analysis instruction to perform questionnaire analysis to obtain a questionnaire analysis result.
2. The health questionnaire analysis method of claim 1, wherein adding the dimension health attribute to the health question in the health assessment question bank comprises:
performing word segmentation processing on the health problems in the health evaluation question bank in sequence to obtain question words;
utilizing a pre-constructed entity recognition model to perform entity recognition on the topic segmentation to obtain a topic entity;
and utilizing the topic entity to match a pre-constructed topic health dimension table, and adding the successfully matched health label as the dimension health attribute of the health problem corresponding to the topic entity.
3. The health questionnaire analysis method of claim 2, wherein after matching a pre-constructed topic health dimension table with the topic entity, the method further comprises:
and if the matching of the topic entity and the pre-constructed topic health dimension table fails, reporting an error to a preset terminal, receiving an adjustment label sent by the preset terminal, and taking the adjustment label as a health dimension label of a health topic corresponding to the topic entity.
4. The method for analyzing health questionnaire of claim 1, wherein the monitoring of the health questions with the changed dimension health attributes in the health evaluation question bank to obtain target questions and the obtaining of the questionnaire associated with the target questions comprises:
monitoring the health problems in the health evaluation question bank by using a preset attribute monitoring event;
and determining the health questions with the changed dimension health attributes as target questions, and acquiring all associated questionnaires for referring to the target questions by using a preset data port.
5. The health questionnaire analysis method of claim 1, wherein updating the questionnaire version of the associated questionnaire based on the questionnaire status to obtain a standard associated questionnaire comprises:
if the questionnaire state of the associated questionnaire is the planned release, updating the dimension health attribute of the target question in the associated questionnaire by using the changed dimension health attribute to obtain a standard associated questionnaire;
and if the questionnaire state of the associated questionnaire is finished or in the collection, constructing a new version questionnaire of the associated questionnaire, and updating the dimension health attribute of the target question in the new version questionnaire by using the changed dimension health attribute to obtain a standard associated questionnaire.
6. The method for health questionnaire analysis of claim 5, wherein after updating the dimension health attribute of the target question in the new version questionnaire with the changed dimension health attribute to obtain a standard association questionnaire, the method further comprises:
and pushing the standard associated questionnaire to a target user based on preset issuing time.
7. The method for analyzing health questionnaire of claim 1, wherein the selecting the standard association questionnaire based on the questionnaire analysis instruction for questionnaire analysis to obtain questionnaire analysis results comprises:
selecting the health questions added with the dimension health attributes as to-be-analyzed questions based on the questionnaire analysis instructions;
acquiring a correlation questionnaire and a standard correlation questionnaire of the problem to be analyzed;
performing problem index statistics on the correlation questionnaire and the standard correlation questionnaire of the problem to be analyzed to obtain a problem index result;
performing attribute index statistics on the correlation questionnaire and the standard correlation questionnaire of the problem to be analyzed to obtain an attribute index result;
and summarizing the problem index result and the attribute index result to obtain a questionnaire analysis result.
8. A health questionnaire analysis device, characterized in that the device comprises:
the attribute adding module is used for adding dimension health attributes to the health problems in the health evaluation question bank;
the question monitoring module is used for monitoring the health questions with the changed dimension health attributes in the health evaluation question bank to obtain target questions and obtain associated questionnaires of the target questions;
the questionnaire updating module is used for detecting the questionnaire state of the associated questionnaire and updating the questionnaire version of the associated questionnaire based on the questionnaire state to obtain a standard associated questionnaire;
and the questionnaire analysis module is used for receiving a questionnaire analysis instruction, selecting the standard associated questionnaire based on the questionnaire analysis instruction and carrying out questionnaire analysis to obtain a questionnaire analysis result.
9. An electronic device, characterized in that the electronic device comprises:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform the health questionnaire analysis method of any of claims 1-7.
10. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the health questionnaire analysis method according to any one of claims 1 to 7.
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| CN202211643980.8A CN115983234A (en) | 2022-12-20 | 2022-12-20 | Health questionnaire analysis method, device, equipment and storage medium |
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