CN113707246A - Questionnaire data processing method, device, equipment and storage medium - Google Patents
Questionnaire data processing method, device, equipment and storage medium Download PDFInfo
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Abstract
The invention relates to the field of artificial intelligence, and discloses a questionnaire data processing method, device, equipment and storage medium, which are used for improving the efficiency of questionnaire data processing. The questionnaire data processing method comprises the following steps: putting a medical questionnaire to be processed, and storing the medical questionnaire through an evaluation application program; acquiring a medical questionnaire filled by a target user to obtain a target medical questionnaire; performing data extraction on a target medical questionnaire to obtain questionnaire data, wherein the questionnaire data comprise: question data and answer data; performing score calculation on the question data and the answer data according to a preset answer scoring rule to obtain a target score; generating a risk grade corresponding to the target score according to the target score to obtain a target risk grade; and recommending the products to the target user according to the target risk level. In addition, the invention also relates to a block chain technology, and the target score can be stored in the block chain node.
Description
Technical Field
The invention relates to the field of artificial intelligence, in particular to a questionnaire data processing method, device, equipment and storage medium.
Background
At present, people go to hospitals more and more to see a doctor after suffering from diseases, and especially for some patients suffering from chronic diseases, major diseases and serious diseases, the doctor mainly goes to the hospitals to treat the diseases. After the patient is discharged after the treatment, the patient needs to know the treatment information of the patient regularly in order to further track and know the condition of the patient, mainly by performing questionnaire survey on the patient.
The existing scheme mainly adopts the modes of distributing educational propaganda materials, actively educating doctors, pushing medical education materials to patients and the like in an offline mode, but the existing scheme has poor pertinence and is slow in data collection of patients, namely the efficiency of the existing scheme is low.
Disclosure of Invention
The invention provides a questionnaire data processing method, device, equipment and storage medium, which are used for improving the efficiency of questionnaire data processing.
The first aspect of the present invention provides a questionnaire data processing method, including: putting a medical questionnaire to be processed in a preset evaluation application program, and storing the medical questionnaire through the preset evaluation application program; acquiring the medical questionnaire filled by the target user to obtain a target medical questionnaire; performing data extraction on the target medical questionnaire to obtain questionnaire data corresponding to the target medical questionnaire, wherein the questionnaire data comprise: question data and answer data; according to a preset answer scoring rule, performing score calculation on the question data and the answer data to obtain a target score; generating a risk grade corresponding to the target score according to the target score to obtain a target risk grade; and recommending the products to the target user according to the target risk level.
Optionally, in a first implementation manner of the first aspect of the present invention, the placing a medical questionnaire to be processed in a preset evaluation application program, and storing the medical questionnaire by using the preset evaluation application program includes: acquiring a medical questionnaire to be processed, and performing user group analysis on the medical questionnaire to obtain a target group; and according to the target group, putting the medical questionnaire in a preset evaluation application program, and storing the medical questionnaire through the preset evaluation application program.
Optionally, in a second implementation manner of the first aspect of the present invention, the obtaining the medical questionnaire filled by the target user to obtain the target medical questionnaire includes: generating a two-dimensional code corresponding to the medical questionnaire through the evaluation application program to obtain a target two-dimensional code; and acquiring the medical questionnaire filled by the target user through scanning the target two-dimensional code to obtain the target medical questionnaire.
Optionally, in a third implementation manner of the first aspect of the present invention, the data extraction is performed on the target medical questionnaire to obtain questionnaire data corresponding to the target medical questionnaire, where the questionnaire data includes: question data and answer data, including: performing entity identification on the target medical questionnaire to obtain a target entity, wherein the target entity comprises a question entity and an answer entity; performing questionnaire identification according to the target entity to obtain questionnaire data corresponding to the target medical questionnaire; and classifying the questionnaire data according to the question entity and the answer entity to obtain question data and answer data.
Optionally, in a fourth implementation manner of the first aspect of the present invention, the performing score calculation on the question data and the answer data according to a preset answer scoring rule to obtain a target score includes: splitting the problem data to obtain a plurality of problems corresponding to the problem data; performing answer extraction on the answer data according to the plurality of questions to obtain an answer corresponding to each question; calculating scores of the plurality of questions and answers corresponding to each question based on a preset answer scoring rule to obtain a score corresponding to each question; and performing summation operation on the score corresponding to each question to obtain a target score.
Optionally, in a fifth implementation manner of the first aspect of the present invention, the generating a risk level corresponding to the target score according to the target score to obtain a target risk level includes: obtaining a target risk grade by comparing the target score with a preset score threshold; when the target score is smaller than the preset score threshold, determining that the target risk level is low risk; determining a target risk level as medium risk when the target score is equal to the preset score threshold; and when the target score is greater than the preset score threshold, determining that the target risk level is high risk.
Optionally, in a sixth implementation manner of the first aspect of the present invention, the recommending a product to a target user according to the target risk level includes: matching product information corresponding to the target risk level from a preset product database; and feeding back the product information to a target user, and displaying the product information through the preset evaluation application program.
A second aspect of the present invention provides a questionnaire data processing apparatus, comprising: the system comprises a putting module, a processing module and a processing module, wherein the putting module is used for putting a medical questionnaire to be processed in a preset evaluation application program and storing the medical questionnaire through the preset evaluation application program; the filling module is used for acquiring the medical questionnaire filled by the target user to obtain a target medical questionnaire; an extraction module, configured to perform data extraction on the target medical questionnaire to obtain questionnaire data corresponding to the target medical questionnaire, where the questionnaire data includes: question data and answer data; the calculation module is used for carrying out score calculation on the question data and the answer data according to a preset answer scoring rule to obtain a target score; the generating module is used for generating a risk grade corresponding to the target score according to the target score to obtain a target risk grade; and the recommending module is used for recommending the product to the target user according to the target risk level.
Optionally, in a first implementation manner of the second aspect of the present invention, the releasing module is specifically configured to: acquiring a medical questionnaire to be processed, and performing user group analysis on the medical questionnaire to obtain a target group; and according to the target group, putting the medical questionnaire in a preset evaluation application program, and storing the medical questionnaire through the preset evaluation application program.
Optionally, in a second implementation manner of the second aspect of the present invention, the reporting module is specifically configured to: generating a two-dimensional code corresponding to the medical questionnaire through the evaluation application program to obtain a target two-dimensional code; and acquiring the medical questionnaire filled by the target user through scanning the target two-dimensional code to obtain the target medical questionnaire.
Optionally, in a third implementation manner of the second aspect of the present invention, the extraction module is specifically configured to: performing entity identification on the target medical questionnaire to obtain a target entity, wherein the target entity comprises a question entity and an answer entity; performing questionnaire identification according to the target entity to obtain questionnaire data corresponding to the target medical questionnaire; and classifying the questionnaire data according to the question entity and the answer entity to obtain question data and answer data.
Optionally, in a fourth implementation manner of the second aspect of the present invention, the calculation module is specifically configured to: splitting the problem data to obtain a plurality of problems corresponding to the problem data; performing answer extraction on the answer data according to the plurality of questions to obtain an answer corresponding to each question; calculating scores of the plurality of questions and answers corresponding to each question based on a preset answer scoring rule to obtain a score corresponding to each question; and performing summation operation on the score corresponding to each question to obtain a target score.
Optionally, in a fifth implementation manner of the second aspect of the present invention, the generating module is specifically configured to: obtaining a target risk grade by comparing the target score with a preset score threshold; when the target score is smaller than the preset score threshold, determining that the target risk level is low risk; determining a target risk level as medium risk when the target score is equal to the preset score threshold; and when the target score is greater than the preset score threshold, determining that the target risk level is high risk.
Optionally, in a sixth implementation manner of the second aspect of the present invention, the recommending module further includes: the matching unit is used for matching the product information corresponding to the target risk level from a preset product database; and the display unit is used for feeding back the product information to a target user and displaying the product information through the preset evaluation application program.
A third aspect of the present invention provides a questionnaire data processing apparatus comprising: a memory and at least one processor, the memory having instructions stored therein; the at least one processor invokes the instructions in the memory to cause the questionnaire data processing apparatus to execute the questionnaire data processing method described above.
A fourth aspect of the present invention provides a computer-readable storage medium having stored therein instructions, which when run on a computer, cause the computer to execute the above-described questionnaire data processing method.
According to the technical scheme provided by the invention, a medical questionnaire to be processed is put in an evaluation application program and stored; acquiring a medical questionnaire filled by a target user to obtain a target medical questionnaire; performing data extraction on the target medical questionnaire to obtain questionnaire data, and performing score calculation on question data and answer data in the questionnaire data according to answer scoring rules to obtain a target score; and recommending the target user according to the target score. According to the invention, the question data and the answer data in the questionnaire data are analyzed to obtain the target scores, and then the risk grade is divided according to the target scores, so that the product recommendation efficiency is higher, and the questionnaire data processing efficiency is improved.
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FIG. 1 is a diagram of an embodiment of a questionnaire data processing method in an embodiment of the present invention;
FIG. 2 is a schematic diagram of another embodiment of a questionnaire data processing method in the embodiment of the invention;
FIG. 3 is a schematic diagram of an embodiment of a questionnaire data processing apparatus in an embodiment of the invention;
FIG. 4 is a schematic diagram of another embodiment of a questionnaire data processing apparatus in an embodiment of the present invention;
fig. 5 is a schematic diagram of an embodiment of a questionnaire data processing apparatus in the embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a questionnaire data processing method, device and equipment and a storage medium, which are used for improving the efficiency of questionnaire data processing. The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be practiced otherwise than as specifically illustrated or described herein. Furthermore, the terms "comprises," "comprising," or "having," and any variations thereof, are intended to cover non-exclusive inclusions, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
For convenience of understanding, a specific flow of an embodiment of the present invention is described below, and referring to fig. 1, a first embodiment of a questionnaire data processing method in an embodiment of the present invention includes:
101. putting a medical questionnaire to be processed in a preset evaluation application program, and storing the medical questionnaire through the preset evaluation application program;
it is to be understood that the executing subject of the present invention may be a questionnaire data processing device, and may also be a terminal or a server, which is not limited herein. The embodiment of the present invention is described by taking a server as an execution subject. 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), and a big data and artificial intelligence platform.
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.
It should be noted that the preset evaluation application program includes a questionnaire storage module, an answer scoring module, a risk assessment module, and a treatment plan/product recommendation module. The operation end comprises a doctor of the internet hospital, an operation team and other personnel, the doctor is responsible for making a questionnaire question/questionnaire answer/scoring rule/risk level/treatment scheme according to a certain disease, the made questionnaire question/questionnaire answer/scoring rule/risk level/treatment scheme is put into a preset evaluation application program, and the medical questionnaire is stored through a questionnaire storage module in the preset evaluation application program.
102. Acquiring a medical questionnaire filled by a target user to obtain a target medical questionnaire;
specifically, the server generates a corresponding two-dimensional code from the medical questionnaire through a preset evaluation application program to obtain a target two-dimensional code, and after the questionnaire is obtained through code scanning from channels such as pharmacies, hospitals, clinics, community hospitals and the like, answers are given to the questionnaire and the preset evaluation application program is submitted.
103. Performing data extraction on the target medical questionnaire to obtain questionnaire data corresponding to the target medical questionnaire, wherein the questionnaire data comprise: question data and answer data;
specifically, the server performs data extraction on the target medical questionnaire through a preset optical character recognition model to obtain questionnaire data corresponding to the target medical questionnaire, wherein the medical questionnaire comprises questions and answers, and therefore the questionnaire data is divided into question data and answer data.
104. Performing score calculation on the question data and the answer data according to a preset answer scoring rule to obtain a target score;
it should be noted that the preset answer scoring rules include: the answer of the questionnaire is preset with the score of each answer, and the answers have disease condition description, mild disease description and severe disease description which respectively correspond to the scores from small to large. For example, a psychology questionnaire: asking: is there always mental stress when a meeting? And (3) answer: a: 0 min; b: more than usual, 1 minute; c: much more than usual, 2 points; and after the user answers the questions, the total score of the answers can be calculated to obtain the target score.
105. Generating a risk grade corresponding to the target score according to the target score to obtain a target risk grade;
it should be noted that the total score of the answers can be calculated after the user answers the questions, and the total score sequentially corresponds to the conditions of low risk, medium risk, high risk and the like from small to large. For example: a target score of less than 10 is a low risk; when the 10 points are larger than the target points and are smaller than 60, the risk is medium; a score of 60 greater than the target score of less than 100 is a high risk.
106. And recommending the products to the target user according to the target risk level.
Specifically, the server performs product recommendation on the target user according to the target risk level, for example: the high risk factor for lung cancer is mainly: over 45 years old, smoking, environmental pollution (waste gas, dust, oil smoke, second-hand smoke, etc.), long-term occupational exposure (high carcinogens such as asbestos, radon, arsenic machine compounds, etc.), family history of lung cancer and past tumor history, and chronic lung diseases such as pulmonary tuberculosis, chronic obstructive pulmonary disease, pneumoconiosis, etc. Although lung cancer is terrible, if lung cancer can be found at an early stage and professionally guided and treated, clinical cure can be achieved, the current living environment is still good, no related medical history or family history exists, and regular physical examination is recommended. The low risk is that the good life style and living environment are beneficial to the health of people, and people pay attention to the maintenance of the healthy life style, reasonable diet, proper exercise, no smoking, less drinking and enhancement of self health management consciousness!
Further, the server stores the target score in a blockchain database, which is not limited herein.
In the embodiment of the invention, the medical questionnaire to be processed is put in the evaluation application program and stored; acquiring a medical questionnaire filled by a target user to obtain a target medical questionnaire; performing data extraction on the target medical questionnaire to obtain questionnaire data, and performing score calculation on question data and answer data in the questionnaire data according to answer scoring rules to obtain a target score; and recommending the target user according to the target score. According to the invention, the question data and the answer data in the questionnaire data are analyzed to obtain the target scores, and then the risk grade is divided according to the target scores, so that the product recommendation efficiency is higher, and the questionnaire data processing efficiency is improved.
Referring to fig. 2, a second embodiment of the questionnaire data processing method according to the embodiment of the present invention includes:
201. putting a medical questionnaire to be processed in a preset evaluation application program, and storing the medical questionnaire through the preset evaluation application program;
optionally, the server obtains a medical questionnaire to be processed, and performs user group analysis on the medical questionnaire to obtain a target group; and according to the target group, putting the medical questionnaire in a preset evaluation application program, and storing the medical questionnaire through the preset evaluation application program.
Specifically, after the server customizes the price of each treatment scheme and product through operators, questionnaires are issued according to different questionnaires for different target groups, and the main delivery fields are all: drugstores, hospitals, clinics, community hospitals, and the like. The server puts the medical questionnaire in a preset evaluation application program according to the target group, and stores the medical questionnaire through the preset evaluation application program. The questions in the medical questionnaire may be a preset number of questions selected from the questions corresponding to the scene information, specifically, the questions may be questions with a higher priority in the scene, or the matched questions may also be questions randomly selected from the questions corresponding to the scene information, and the user may also upload requirements for the questions, so that the server selects the questions corresponding to the scene information based on the requirements to generate the corresponding questionnaire. Each question in the question database can be of different types, such as a choice question, a blank question and the like, and the questions of different types in the questionnaire correspond to different display modes, such as question single-page configuration, display according to a catalog index or a waterfall flow combined page classification mode, so that the questions are closer to the field inspection behavior of the user and convenient for the field data acquisition of the user.
202. Acquiring a medical questionnaire filled by a target user to obtain a target medical questionnaire;
optionally, the server generates a two-dimensional code corresponding to the medical questionnaire through the evaluation application program to obtain a target two-dimensional code; and the server acquires the medical questionnaire which is filled by the target user through scanning the target two-dimensional code to obtain the target medical questionnaire.
Specifically, the server generates the medical questionnaire into the corresponding two-dimensional code through the preset evaluation application program to obtain the target two-dimensional code, the timeliness is strong through the preset evaluation application program, and a user can use a mobile phone or other network equipment to operate on line anytime and anywhere, so that the time of the user is greatly saved; scanning a target two-dimensional code to obtain a medical questionnaire; and filling the medical questionnaire, and submitting the filled medical questionnaire to obtain the target medical questionnaire. In the process of filling, the user can directly select or fill in the medical questionnaire questions and upload the relevant certification materials in the modes of photos, videos, sound recordings and the like. Specifically, the user can upload different types of answers according to different question types, when answering information is uploaded, the user can encrypt the answering information by using a private key of the user, and the server can decrypt and analyze the answering information by using a public key of the user. The method includes the steps that corresponding answer modes are set for all questions in a medical questionnaire, a user can answer according to the corresponding answer modes, for example, the answer modes can be recording conditions in a time period within a preset address, or videos of the surrounding environment of the preset address are uploaded, and the user can collect answers according to the answer modes. After the user finishes answering the target question, the terminal can be used for uploading answering information aiming at the target question in the questionnaire.
203. Performing data extraction on the target medical questionnaire to obtain questionnaire data corresponding to the target medical questionnaire, wherein the questionnaire data comprise: question data and answer data;
optionally, the server performs entity identification on the target medical questionnaire to obtain a target entity, where the target entity includes a question entity and an answer entity; performing questionnaire identification according to the target entity to obtain questionnaire data corresponding to the target medical questionnaire; and classifying the questionnaire data according to the question entity and the answer entity to obtain question data and answer data.
Specifically, the server performs entity identification on a target medical questionnaire to obtain a target entity, wherein the target entity comprises a question entity and an answer entity; the server identifies the questionnaire according to the target entity to obtain questionnaire data corresponding to the target medical questionnaire; the server classifies the questionnaire data according to the question entity and the answer entity to obtain question data and answer data.
204. Performing score calculation on the question data and the answer data according to a preset answer scoring rule to obtain a target score;
optionally, the server splits the problem data to obtain a plurality of problems corresponding to the problem data; the server extracts answers to the answer data according to the plurality of questions to obtain answers corresponding to each question; the server calculates scores of a plurality of questions and answers corresponding to each question based on a preset answer scoring rule to obtain a score corresponding to each question; and the server performs summation operation on the score corresponding to each question to obtain a target score.
Specifically, the server splits the problem data to obtain a plurality of problems corresponding to the problem data; the server extracts answers to the answer data according to the plurality of questions to obtain answers corresponding to each question; the server calculates scores of a plurality of questions and answers corresponding to each question based on a preset answer scoring rule to obtain a score corresponding to each question; and the server performs summation operation on the score corresponding to each question to obtain a target score.
205. Generating a risk grade corresponding to the target score according to the target score to obtain a target risk grade;
optionally, the server compares the target score with a preset score threshold to obtain a target risk level; when the target score is smaller than a preset score threshold value, determining that the target risk level is low risk; when the target score is equal to a preset score threshold value, determining the target risk level as medium risk; and when the target score is greater than a preset score threshold value, determining the target risk level as high risk.
Specifically, the server compares the target score with a preset score threshold value to obtain a target risk level; when the target score is smaller than a preset score threshold value, the server obtains that the target risk level is low risk; when the target score is equal to a preset score threshold value, the server obtains a target risk grade as medium risk; and when the target score is greater than a preset score threshold value, the server obtains the target risk level as high risk. For example: the preset score threshold is set to (2,3), and thus, when the target score is less than 2, the target risk level is obtained as low risk, when the target score is equal to between (2,3), the target risk level is obtained as medium risk, and when the target score is greater than 3, the target risk level is obtained as high risk.
206. Matching product information corresponding to the target risk level from a preset product database;
specifically, the server performs product recommendation on the target user according to the target risk level, for example: the high risk factor for lung cancer is mainly: over 45 years old, smoking, environmental pollution (waste gas, dust, oil smoke, second-hand smoke, etc.), long-term occupational exposure (high carcinogens such as asbestos, radon, arsenic machine compounds, etc.), family history of lung cancer and past tumor history, and chronic lung diseases such as pulmonary tuberculosis, chronic obstructive pulmonary disease, pneumoconiosis, etc.
207. And feeding back the product information to a target user, and displaying the product information through a preset evaluation application program.
Specifically, the server is specific, the server submits answer sheet information to a preset evaluation application program in a preset evaluation application program viewing file, the preset evaluation application program analyzes according to the answer condition, the risk level of the user is determined, and a proper treatment scheme or product is recommended to the user. The user can know whether the user is in sub-health or has a certain disease and the severity of the disease without asking the doctor to do various examinations in a hospital. The cost of acquiring information is reduced.
Further, the server stores the target score in a blockchain database, which is not limited herein.
In the embodiment of the invention, the medical questionnaire to be processed is put in the evaluation application program and stored; acquiring a medical questionnaire filled by a target user to obtain a target medical questionnaire; performing data extraction on the target medical questionnaire to obtain questionnaire data, and performing score calculation on question data and answer data in the questionnaire data according to answer scoring rules to obtain a target score; and recommending the target user according to the target score. According to the invention, the evaluation application program is introduced into the processing process of the questionnaire data, so that the processing efficiency of the questionnaire data is improved.
In the above description of the method for processing questionnaire data in the embodiment of the present invention, referring to fig. 3, the apparatus for processing questionnaire data in the embodiment of the present invention is described below, and a first embodiment of the apparatus for processing questionnaire data in the embodiment of the present invention includes:
the release module 301 is configured to release a medical questionnaire to be processed in a preset evaluation application program, and store the medical questionnaire through the preset evaluation application program;
the report filling module 302 is configured to obtain the medical questionnaire filled by the target user, so as to obtain a target medical questionnaire;
an extraction module 303, configured to perform data extraction on the target medical questionnaire to obtain questionnaire data corresponding to the target medical questionnaire, where the questionnaire data includes: question data and answer data;
the calculating module 304 is configured to perform score calculation on the question data and the answer data according to a preset answer scoring rule to obtain a target score;
a generating module 305, configured to generate a risk level corresponding to the target score according to the target score, so as to obtain a target risk level;
and the recommending module 306 is used for recommending the product to the target user according to the target risk level.
In the embodiment of the invention, the medical questionnaire to be processed is put in the evaluation application program and stored; acquiring a medical questionnaire filled by a target user to obtain a target medical questionnaire; performing data extraction on the target medical questionnaire to obtain questionnaire data, and performing score calculation on question data and answer data in the questionnaire data according to answer scoring rules to obtain a target score; and recommending the target user according to the target score. According to the invention, the evaluation application program is introduced into the processing process of the questionnaire data, so that the processing efficiency of the questionnaire data is improved.
Referring to fig. 4, a second embodiment of the questionnaire data processing apparatus according to the embodiment of the present invention includes:
the release module 301 is configured to release a medical questionnaire to be processed in a preset evaluation application program, and store the medical questionnaire through the preset evaluation application program;
the report filling module 302 is configured to obtain the medical questionnaire filled by the target user, so as to obtain a target medical questionnaire;
an extraction module 303, configured to perform data extraction on the target medical questionnaire to obtain questionnaire data corresponding to the target medical questionnaire, where the questionnaire data includes: question data and answer data;
the calculating module 304 is configured to perform score calculation on the question data and the answer data according to a preset answer scoring rule to obtain a target score;
a generating module 305, configured to generate a risk level corresponding to the target score according to the target score, so as to obtain a target risk level;
and the recommending module 306 is used for recommending the product to the target user according to the target risk level.
Optionally, the releasing module 301 is specifically configured to:
acquiring a medical questionnaire to be processed, and performing user group analysis on the medical questionnaire to obtain a target group; and according to the target group, putting the medical questionnaire in a preset evaluation application program, and storing the medical questionnaire through the preset evaluation application program.
Optionally, the filling module 302 is specifically configured to:
generating a two-dimensional code corresponding to the medical questionnaire through the evaluation application program to obtain a target two-dimensional code; and acquiring the medical questionnaire filled by the target user through scanning the target two-dimensional code to obtain the target medical questionnaire.
Optionally, the extracting module 303 is specifically configured to:
performing entity identification on the target medical questionnaire to obtain a target entity, wherein the target entity comprises a question entity and an answer entity; performing questionnaire identification according to the target entity to obtain questionnaire data corresponding to the target medical questionnaire; and classifying the questionnaire data according to the question entity and the answer entity to obtain question data and answer data.
Optionally, the calculating module 304 is specifically configured to:
splitting the problem data to obtain a plurality of problems corresponding to the problem data; performing answer extraction on the answer data according to the plurality of questions to obtain an answer corresponding to each question; calculating scores of the plurality of questions and answers corresponding to each question based on a preset answer scoring rule to obtain a score corresponding to each question; and performing summation operation on the score corresponding to each question to obtain a target score.
Optionally, the generating module 305 is specifically configured to:
obtaining a target risk grade by comparing the target score with a preset score threshold; when the target score is smaller than the preset score threshold, determining that the target risk level is low risk; determining a target risk level as medium risk when the target score is equal to the preset score threshold; and when the target score is greater than the preset score threshold, determining that the target risk level is high risk.
Optionally, the recommending module 306 further includes:
a matching unit 3061, configured to match product information corresponding to the target risk level from a preset product database;
the display unit 3062 is configured to feed back the product information to the target user, and display the product information through the preset evaluation application.
In the embodiment of the invention, a medical questionnaire to be processed is put in an evaluation application program and stored; acquiring a medical questionnaire filled by a target user to obtain a target medical questionnaire; performing data extraction on the target medical questionnaire to obtain questionnaire data, and performing score calculation on question data and answer data in the questionnaire data according to answer scoring rules to obtain a target score; and recommending the target user according to the target score. According to the invention, the evaluation application program is introduced into the processing process of the questionnaire data, so that the processing efficiency of the questionnaire data is improved.
Fig. 3 and 4 describe the questionnaire data processing apparatus in the embodiment of the present invention in detail from the perspective of the modular functional entity, and the questionnaire data processing device in the embodiment of the present invention is described in detail from the perspective of hardware processing.
Fig. 5 is a schematic structural diagram of a questionnaire data processing apparatus provided by an embodiment of the present invention, where the questionnaire data processing apparatus 500 may generate relatively large differences due to different configurations or performances, and may include one or more processors (CPUs) 510 (e.g., one or more processors) and a memory 520, and one or more storage media 530 (e.g., one or more mass storage devices) storing applications 533 or data 532. Memory 520 and storage media 530 may be, among other things, transient or persistent storage. The program stored on storage medium 530 may include one or more modules (not shown), each of which may include a sequence of instructions operating on questionnaire data processing apparatus 500. Still further, processor 510 may be configured to communicate with storage medium 530 to execute a series of instruction operations in storage medium 530 on questionnaire data processing device 500.
Questionnaire data processing device 500 may also include one or more power supplies 540, one or more wired or wireless network interfaces 550, one or more input-output interfaces 560, and/or one or more operating systems 531, such as Windows service, Mac OS X, Unix, Linux, FreeBSD, and the like. Those skilled in the art will appreciate that the questionnaire data processing apparatus configuration shown in fig. 5 does not constitute a limitation of the questionnaire data processing apparatus, and may include more or less components than those shown, or combine some components, or a different arrangement of components.
The present invention also provides a questionnaire data processing apparatus, which comprises a memory and a processor, wherein the memory stores computer readable instructions, and the computer readable instructions, when executed by the processor, cause the processor to execute the steps of the questionnaire data processing method in the above embodiments.
The present invention also provides a computer-readable storage medium, which may be a non-volatile computer-readable storage medium, and which may also be a volatile computer-readable storage medium, having stored therein instructions, which, when run on a computer, cause the computer to perform the steps of the questionnaire data processing method.
Further, the computer-readable storage medium may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created according to the use of the blockchain node, 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.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A questionnaire data processing method, characterized in that the questionnaire data processing method comprises:
putting a medical questionnaire to be processed in a preset evaluation application program, and storing the medical questionnaire through the preset evaluation application program;
acquiring the medical questionnaire filled by the target user to obtain a target medical questionnaire;
performing data extraction on the target medical questionnaire to obtain questionnaire data corresponding to the target medical questionnaire, wherein the questionnaire data comprise: question data and answer data;
according to a preset answer scoring rule, performing score calculation on the question data and the answer data to obtain a target score;
generating a risk grade corresponding to the target score according to the target score to obtain a target risk grade;
and recommending the products to the target user according to the target risk level.
2. The questionnaire data processing method of claim 1, wherein the delivering of the medical questionnaire to be processed in a preset evaluation application and the storing of the medical questionnaire by the preset evaluation application comprise:
acquiring a medical questionnaire to be processed, and performing user group analysis on the medical questionnaire to obtain a target group;
and according to the target group, putting the medical questionnaire in a preset evaluation application program, and storing the medical questionnaire through the preset evaluation application program.
3. The questionnaire data processing method of claim 1, wherein the obtaining the medical questionnaire filled by the target user to obtain the target medical questionnaire comprises:
generating a two-dimensional code corresponding to the medical questionnaire through the evaluation application program to obtain a target two-dimensional code;
and acquiring the medical questionnaire filled by the target user through scanning the target two-dimensional code to obtain the target medical questionnaire.
4. The questionnaire data processing method of claim 1, wherein the data extraction is performed on the target medical questionnaire to obtain questionnaire data corresponding to the target medical questionnaire, and the questionnaire data comprises: question data and answer data, including:
performing entity identification on the target medical questionnaire to obtain a target entity, wherein the target entity comprises a question entity and an answer entity;
performing questionnaire identification according to the target entity to obtain questionnaire data corresponding to the target medical questionnaire;
and classifying the questionnaire data according to the question entity and the answer entity to obtain question data and answer data.
5. The questionnaire data processing method of claim 1, wherein the score calculating the question data and the answer data according to a preset answer scoring rule to obtain a target score comprises:
splitting the problem data to obtain a plurality of problems corresponding to the problem data;
performing answer extraction on the answer data according to the plurality of questions to obtain an answer corresponding to each question;
calculating scores of the plurality of questions and answers corresponding to each question based on a preset answer scoring rule to obtain a score corresponding to each question;
and performing summation operation on the score corresponding to each question to obtain a target score.
6. The questionnaire data processing method of claim 1, wherein the generating a risk level corresponding to the target score according to the target score to obtain a target risk level comprises:
obtaining a target risk grade by comparing the target score with a preset score threshold;
when the target score is smaller than the preset score threshold, determining that the target risk level is low risk;
determining a target risk level as medium risk when the target score is equal to the preset score threshold;
and when the target score is greater than the preset score threshold, determining that the target risk level is high risk.
7. The questionnaire data processing method of any of claims 1-6, wherein the recommending a product to a target user according to the target risk level comprises:
matching product information corresponding to the target risk level from a preset product database;
and feeding back the product information to a target user, and displaying the product information through the preset evaluation application program.
8. A questionnaire data processing apparatus characterized in that the questionnaire data processing apparatus comprises:
the system comprises a putting module, a processing module and a processing module, wherein the putting module is used for putting a medical questionnaire to be processed in a preset evaluation application program and storing the medical questionnaire through the preset evaluation application program;
the filling module is used for acquiring the medical questionnaire filled by the target user to obtain a target medical questionnaire;
an extraction module, configured to perform data extraction on the target medical questionnaire to obtain questionnaire data corresponding to the target medical questionnaire, where the questionnaire data includes: question data and answer data;
the calculation module is used for carrying out score calculation on the question data and the answer data according to a preset answer scoring rule to obtain a target score;
the generating module is used for generating a risk grade corresponding to the target score according to the target score to obtain a target risk grade;
and the recommending module is used for recommending the product to the target user according to the target risk level.
9. A questionnaire data processing apparatus characterized in that the questionnaire data processing apparatus comprises: a memory and at least one processor, the memory having instructions stored therein;
the at least one processor invokes the instructions in the memory to cause the questionnaire data processing apparatus to perform the questionnaire data processing method of any of claims 1-7.
10. A computer-readable storage medium having instructions stored thereon, wherein the instructions, when executed by a processor, implement the questionnaire data processing method of any of claims 1-7.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114881712A (en) * | 2022-07-12 | 2022-08-09 | 杭州新航互动科技有限公司 | Intelligent advertisement putting method, device, equipment and storage medium |
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