55 results about "Questionnaire data" patented technology

A method for providing telecommunications service pricing to a corporate client over a computer network has steps of: querying the client to choose a client profile, selecting a questionnaire profile for a questionnaire database, presenting the questionnaire to the client over the computer network, obtaining a response to the questionnaire from the client over the data network, obtaining a phone bill from the client for a period of time, and using the phone bill to determine a call traffic pattern. The call traffic pattern and the response to the questionnaire are then used to determine telecommunications service pricing over the computer network to the client.

A method of estimating stress caused by an exercise includes receiving questionnaire data including body measurements from a user, measuring health measurement data, deducing an exercise target and an exercise prescription based on the received and measured data, and transmitting the exercise target and exercise prescription to the user. The questionnaire data is then received back from the user, including the body measurements from the user and measuring again the health measurements data.; Parameters are designed based on the received and re-received questionnaire data and the measured and re-measured health measurement data and the parameters are converted to predetermined values. A regression analysis model is designed for estimating the exercise stress using the parameters and performing regression analysis and the exercise stress estimated through the regression analysis is transmitted to the user.

A system for cross-acquisition of physiological and psychological information includes a test database, a user interface, a database, and a control unit. The test database stores various physiological and psychological questionnaires. The database stores physiological and psychological information inputted by a user or measured by an external apparatus or transmitted thereto from the outside. The control unit includes a matching module capable of accessing the database to perform correlation matching according to a keyword in a question in a selected questionnaire, and an acquisition module for acquiring matching information and for sending the same to the user interface. Through matching and computation, the system can display previously inputted or existing corresponding information when the user comes to a question that has been answered before so as to eliminate the need to repeatedly input the same information.

The invention relates to the technical field of artificial intelligence, and provides a depression level test system. The system comprises a questionnaire data acquisition module, a video data processing module, a model analysis module and a model evaluation module. The questionnaire data acquisition module acquires answering questionnaire data and answering video data of a user to be evaluated; the video data processing module counts an answering score according to the answering questionnaire data and performs video frame extraction on the answering video data to obtain a video frame set corresponding to the answering video data; the model analysis module inputs each video frame in the video frame set into a trained facial analysis model to obtain an expression category and eyeball identification data of each video frame, and obtains a to-be-evaluated parameter of the to-be-evaluated user according to the answer score, the expression category and the eyeball identification data of each video frame; and the model evaluation module inputs the to-be-evaluated parameters into the trained depression level test model to obtain a depression level test result. By adopting the system, the depression degree can be monitored in real time.

The embodiment of the invention discloses a questionnaire data processing method and device based on data analysis, a server and a medium, and the method comprises the steps: obtaining scene information uploaded by a terminal, selecting at least one question from a question database according to the scene information, and obtaining a questionnaire constructed based on the at least one question, and sending the questionnaire to the terminal, receiving answering information returned by the terminal for the target question in the questionnaire, verifying the answering information based on a preset questionnaire verification mode, and if the verification is passed, uploading data corresponding to the questionnaire to the block chain, so as to enable the block chain to store the data corresponding to the questionnaire. Through the above mode, questions can be automatically screened and automatically audited based on different scenes in the questionnaire survey process, and the questionnairedata processing efficiency and intelligence are improved.

The invention discloses a mental health early warning and management method, system and device and a storage medium. The method includes: a step S10 of managing questionnaire data by a school terminal; a step S20 of generating a questionnaire package by a college terminal based on a questionnaire database in order to manage the questionnaire package; a step S30 of issuing the questionnaire packageby the college terminal; a step S40 of receiving a questionnaire test of the questionnaire package from a student terminal; and a step S50 of automatically sending a feedback and early warning promptaccording to a questionnaire test result. The method solves the problem that the conventional the mental health test of college students lacks automatic feedback and inability to provide early warning.

The invention provides a traditional Chinese medicine data processing system and method, a storage medium and a terminal, and the system comprises a questionnaire generation module which is used for generating a patient dynamic questionnaire based on a preset rule template and a traditional Chinese medicine knowledge graph; the data conversion module is used for performing structured processing on first data acquired by the dynamic questionnaire to obtain second data; and the prediction module is used for performing prediction processing on the second data based on the constructed prediction model to generate a prediction result. According to the method, the patient information is collected through the patient dynamic questionnaire, the dynamic questionnaire is updated in real time based on the answer information of the patient, the method is more professional and targeted, and the prediction result is more accurate; and the obtained prediction result can effectively assist doctors in diagnosing diseases and syndromes, so that the diagnosis accuracy and the diagnosis efficiency are improved.

The invention relates to a questionnaire data processing method and device and a storage medium, and the method comprises the steps: determining one or more statistical methods suitable for to-be-processed questionnaire data; according to the data type of the to-be-processed questionnaire data, selecting a target statistical method from one or more statistical methods to process the to-be-processed questionnaire data to obtain a statistical result; and automatically interpreting the statistical result according to the statistical index to obtain questionnaire interpretation information, the numerical value of the statistical index reflecting the characteristics of the statistical result. By means of the questionnaire data processing method and device, automatic processing of the questionnaire data is achieved, the questionnaire data value is mined conveniently and rapidly, a data-based scientific decision is provided for non-professional analysts, and the requirement of the non-professional analysts for deeply mining the questionnaire data value is met; meanwhile, analysis assistance is provided for professional analysts, and the analysis efficiency of the professional analysts iseffectively improved.

The invention provides a data processing method, device and equipment and a computer readable storage medium. The data processing method comprises the steps of obtaining questionnaire data to be processed; and calling an intelligent contract on a block chain, and cleaning the questionnaire data to be processed. The method obtains questionnaire data to be processed, calls an intelligent contract ona block chain, and cleans the questionnaire data to be processed, so that tamper resistance, traceability and public transparency of the data processing process can be guaranteed, the credibility ofthe questionnaire data is greatly improved, and the problem that in the prior art, the questionnaire data lacks the credibility is well solved.

The invention provides a data processing method for multistage pull-down question types in an online questionnaire survey system. The data processing method comprises the following steps: S1, inputting questionnaire data; S2, processing questionnaire data; S3, reading format data stored in the step S2, converting the format data into a user interface, taking the user interface as a questionnaire mode, and performing multi-level pull-down selection; S4, inputting answer sheet data; S5, processing questionnaire data; S6, reading all answer sheet data in S5, grouping the data by using group, grouping the data according to multi-level pull-down answers, and counting the frequency of each answer; S7, splitting the multi-level pull-down answers by using spit, carrying frequency, and converting the multi-level pull-down answers into a list array; and S8, outputting. According to the scheme, storage is simpler, the query is quicker, and the performance of the scheme can be better manifested along with the increase of the number of data sources, the increase of answer sheets and the increase of hierarchies.

The invention provides a data processing method and apparatus. The data processing method comprises the steps of obtaining questionnaire data and user data of a user participating in a target service;determining answering data for answering the questionnaire data according to the user data, generating an interaction page based on the answering data and the questionnaire data, and displaying the interaction page to the user; receiving feedback data submitted by the user through the interaction page; and determining a service evaluation result of the user participating in the target service according to the feedback data and the user data.

The invention provides a chemical defense equipment data acquisition, analysis and evaluation method and system, and belongs to the technical field of data analysis and processing. The method comprises the following steps: acquiring an index system established according to a chemical defense equipment test outline; determining test link acquisition data items and a questionnaire question bank according to the index system; acquiring test data acquired based on the test link acquisition data item and questionnaire data acquired based on the questionnaire question bank; performing multi-dimensional query statistics on the preprocessed test data and questionnaire data, and verifying the integrity and accuracy of the test data and the questionnaire data; associating and binding the verified test data and questionnaire data with the last-stage index of the index system to obtain a binding relationship; evaluating the chemical defense equipment according to the binding relationship and the index weight to obtain an evaluation result; and obtaining evaluation results obtained by the plurality of test units, dynamically adjusting the index weight according to the evaluation results, and regenerating a new evaluation result. According to the invention, the chemical defense equipment can be scientifically and effectively evaluated.

The invention discloses a questionnaire data analysis method based on linear hidden variables. The method comprises the following steps: collecting filled questionnaires, and carrying out preprocessing and standardization processing on the questionnaires; constructing a measurement model, and obtaining a cluster of the observation variables and a skeleton diagram of hidden variables according to the observation variables after standardization processing; enumerating equivalence classes of the hidden variable skeleton graph, and carrying out tripartite constraint judgment; if the three-body constraint is violated, refusing to carry out connection; if the three-split constraint is met, taking each hidden variable as a root node, eliminating the influence from the root node on the rest hidden variables, and retaining corresponding equivalence classes; merging the reserved equivalence classes, outputting a causal structure diagram of the hidden variables according to a merging result, and obtaining a causal relationship among the hidden variables in the questionnaire. According to the method, the causal relationship among the hidden variables distributed in any form can be obtained, auxiliary analysis is carried out on the questionnaire, the analysis result is more accurate, and a correct decision can be made.

The invention relates to the technical field of data processing, in particular to a questionnaire data storage method and device, a server and a storage medium. The method comprises the steps: obtaining a to-be-stored questionnaire data set which comprises a plurality of parts of questionnaire data with different data structures; classifying the questionnaire data in the questionnaire data set according to the data structure of the questionnaire data to obtain a plurality of data classifications; for each data category, determining the data type of questionnaire data in the data category; determining an analyzer corresponding to the data classification according to the data type of the questionnaire data; analyzing all questionnaire data in the data classification by utilizing an analyzercorresponding to the data classification to obtain storable data with a target data structure; and storing the storable data into a database. According to the questionnaire data storage method, the expandability of questionnaire data storage models can be improved, and the coupling between the models is reduced.

The invention provides a questionnaire survey method and device based on private domain traffic, and a storage medium. A questionnaire generation end generates questionnaire data and a questionnaire link corresponding to the questionnaire data based on received questionnaire information; a private domain answering end corresponding to the pushing target is determined according to a directional screening result, and the questionnaire link is sent to the private domain answering end based on private domain traffic; the private domain answering end receives answering data corresponding to the questionnaire data and then sends the answering data to the questionnaire generation end; and the questionnaire generation end generates a private domain label corresponding to the push target based on the answer data. According to the technical scheme provided by the invention, questionnaire survey can be performed on the target user directionally based on the private domain traffic, the cost is reduced, the proportion of effective questionnaires is improved, and the practicability is relatively high.

The embodiment of the invention discloses a brain map data processing method and device, equipment and a storage medium. The method comprises the steps of determining target brain map data; extracting programming associated data in the target brain map data; wherein the programming associated data comprises at least one of problem data, option data and jump logic; generating a programming file according to the programming associated data; generating questionnaire data according to the programming file. Through the technical scheme, automatic generation of the questionnaire data is realized, and the questionnaire generation efficiency and the accuracy of the generated questionnaire are improved.

The invention relates to the field of artificial intelligence, and discloses a questionnaire data processing method, device, equipment and a storage medium, which are used for improving the questionnaire data processing efficiency. The questionnaire data processing method comprises the steps of putting a to-be-processed medical questionnaire, and storing the medical questionnaire through an evaluation application program; obtaining 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, the questionnaire data including 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 level corresponding to the target score according to the target score to obtain a target risk level; and performing product recommendation on 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 a block chain node.

The invention provides a user selection behavior acquisition method and device, a client and server equipment, relates to the technical field of computers, and solves the technical problem of poor user experience caused by structural conflict between JavaScript and HTML. The method comprises the following steps: traversing each array in questionnaire data used for generating a questionnaire, and splicing each array in the questionnaire data according to a preset CSS rule mode to generate a CSS rule text; sending the CSS rule text to the client through a first data interface, so that the client executes background image attribute setting in the CSS rule text under the condition that an input label in the CSS rule text is switched to a check state, and submits second request data to the server through a second data interface; and performing analysis based on the second request data to obtain the current question and a user selection behavior corresponding to the current question.

The invention relates to a network teaching effect analysis and evaluation method, system and device and a medium. The method comprises the following steps: randomly sampling questionnaire data of network teaching subject teaching conditions; carrying out data dimension reduction processing on the sampled data by adopting a principal component analysis method; performing significant difference judgment by adopting rank sum test to obtain a significant difference evaluation result of teaching effects among different courses; performing distribution test processing on the teaching effect by adopting distribution goodness-of-fit test; single-factor variance analysis processing is adopted to determine the influence result of the teaching mode on the teaching effect; carrying out independence test processing by adopting a list independence test to determine a mutual independence result between the teaching platform and the teaching effect; after the sampling data are graded, a sequence matrix method is adopted to sort the importance degrees of the teaching modes for graded samples, the influence degree of the teaching modes on the teaching effect is quantified, and an index importance degree sorting result is obtained. And the analysis and evaluation accuracy of the network teaching effect is greatly improved.

The invention relates to a big data application-based analysis management system construction method and model construction. The analysis management system construction method based on the big data application comprises the following steps: 1) carrying out enterprise employee activity information dimension construction and scale setting, wherein information dimension construction units are matched with scales connected with the information dimension construction units in a one-to-one correspondence manner; 2), determining enterprise employee activity information dimension structure weight and threshold standard, and determining an enterprise employee activity information dimension structure weight and a corresponding threshold by combining existing enterprise employee activity information historical data and newly generated scale data and combining a Delphi method; and 3) performing big data analysis on the questionnaire data of the questionnaire library, and analyzing enterprise employee activity information by adopting big data according to the constructed questionnaire library.

The invention discloses an individual cognitive security awareness assessment method based on questionnaire surveys, and belongs to the field of network space security. The method specifically comprises the following steps: firstly, constructing an answer questionnaire, and adjusting rationality of the questionnaire through internal and external reliability; then selecting a plurality of users to extract cognitive attributes, building a cognitive attribute association graph according to hierarchical relationships, and selecting sub-graphs as ideal mastering modes; filling in questionnaire data by each actual tested user, mapping answer results to a rule space model (RSM), and obtaining three ideal mastering modes closest to answer conditions of each user; classifying all the ideal mastering modes in the cognitive attribute association graph through unsupervised clustering, and summarizing security levels of the cognitive attributes; and finally, performing normalization and weighted average on distance values corresponding to the three closest ideal mastering modes of each user, and selecting the level corresponding to the closest score as a cognitive security awareness assessment result of each user. The method has higher robustness and rationality.

Disclosed in the present invention are a system for processing and providing customized information based on questionnaire data, and a method therefor. That is, the present invention constructs big data related to a specific individual on the basis of questionnaire data for a plurality of tests, and provides comparison information that compares the constructed big data related to a specific individual with big data of other users related to the corresponding specific individual, thereby providing information on a relationship between a corresponding individual and acquaintances and inducing interest among users.