CN111883261B - Epidemic situation self-checking method, device, computer equipment and storage medium - Google Patents
Epidemic situation self-checking method, device, computer equipment and storage medium Download PDFInfo
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- CN111883261B CN111883261B CN202010754201.6A CN202010754201A CN111883261B CN 111883261 B CN111883261 B CN 111883261B CN 202010754201 A CN202010754201 A CN 202010754201A CN 111883261 B CN111883261 B CN 111883261B
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Abstract
The embodiment of the invention discloses an epidemic situation self-checking method, an epidemic situation self-checking device, computer equipment and a storage medium, and relates to the technical field of disease detection. The embodiment of the application can reduce the risk of infection of a screener and reduce the labor cost.
Description
Technical Field
The invention relates to the technical field of disease detection, in particular to an epidemic situation self-checking method, an epidemic situation self-checking device, computer equipment and a storage medium.
Background
The primary purpose of the primary screening of diseases is to quickly and effectively find out suspected patients for re-diagnosis in order to perform patient grouping. Traditionally contact screening is generally carried out by residents through medical institutions such as community clinics, local hospitals and the like for medical diagnosis, and the method increases the labor cost of medical staff on one hand and increases the risk of infection of a screened person easily for diseases with strong infectivity on the other hand.
Disclosure of Invention
The embodiment of the invention provides an epidemic situation self-checking method, an epidemic situation self-checking device, computer equipment and a storage medium, which aim to save labor cost and reduce infection risk.
In a first aspect, an embodiment of the present invention provides an epidemic self-checking method, including:
receiving an epidemic situation self-checking instruction;
acquiring a preset epidemic situation questionnaire related to the epidemic situation self-checking instruction;
sending questions to be answered in the preset epidemic questionnaire to a screener and acquiring answer information input by the screener according to the questions to be answered;
inputting the questions to be answered and the answer information into a preset diagnosis dialogue model to output the next questions to be answered and take the next questions to be answered as the current questions to be answered, and if the questionnaire information in the preset epidemic questionnaire does not meet the preset conditions, returning to execute the step of sending the questions to be answered in the preset epidemic questionnaire to the screener and acquiring the answer information input by the screener according to the questions to be answered;
if the questionnaire information in the preset epidemic situation questionnaire meets the preset conditions, generating an epidemic situation self-checking result according to the questionnaire information.
In a second aspect, an embodiment of the present invention further provides an epidemic situation self-checking apparatus, including:
The receiving unit is used for receiving epidemic situation self-checking instructions;
the acquisition unit is used for acquiring a preset epidemic situation questionnaire related to the epidemic situation self-checking instruction;
the sending unit is used for sending questions to be answered in the preset epidemic situation questionnaire to the screener and acquiring answer information input by the screener according to the questions to be answered;
the first return unit is used for inputting the questions to be answered and the answer information into a preset diagnosis dialogue model to output the next questions to be answered and taking the next questions to be answered as the current questions to be answered, and if the questionnaire information in the preset epidemic questionnaire does not meet the preset conditions, returning to execute the step of sending the questions to be answered in the preset epidemic questionnaire to the screener and acquiring answer information input by the screener according to the questions to be answered;
the generating unit is used for generating epidemic situation self-checking results according to the questionnaire information if the questionnaire information in the preset epidemic situation questionnaire meets preset conditions.
In a third aspect, an embodiment of the present invention further provides a computer device, which includes a memory and a processor, where the memory stores a computer program, and the processor implements the method when executing the computer program.
In a fourth aspect, embodiments of the present invention also provide a computer readable storage medium storing a computer program which, when executed by a processor, implements the above method.
The embodiment of the invention provides an epidemic situation self-checking method, an epidemic situation self-checking device, computer equipment and a storage medium. Wherein the method comprises the following steps: receiving an epidemic situation self-checking instruction; acquiring a preset epidemic situation questionnaire related to the epidemic situation self-checking instruction; sending questions to be answered in the preset epidemic questionnaire to a screener and acquiring answer information input by the screener according to the questions to be answered; inputting the questions to be answered and the answer information into a preset diagnosis dialogue model to output the next questions to be answered and take the next questions to be answered as the current questions to be answered, and if the questionnaire information in the preset epidemic questionnaire does not meet the preset conditions, returning to execute the step of sending the questions to be answered in the preset epidemic questionnaire to the screener and acquiring the answer information input by the screener according to the questions to be answered; if the questionnaire information in the preset epidemic situation questionnaire meets the preset conditions, generating an epidemic situation self-checking result according to the questionnaire information. According to the technical scheme, the next question to be answered can be decided through the preset diagnosis dialogue model, and an epidemic situation self-checking result can be generated when the questionnaire information in the preset epidemic situation questionnaire meets the preset conditions, so that timely diagnosis is realized, the risk of infection of a screener is reduced, and meanwhile, the labor cost is reduced to a certain extent.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of an epidemic situation self-checking method according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a method for self-checking epidemic situation according to an embodiment of the present invention;
FIG. 3 is a schematic flow chart of a method for self-checking epidemic situation according to an embodiment of the present invention;
FIG. 4 is a schematic flow chart of an epidemic self-checking method according to another embodiment of the present invention;
FIG. 5 is a schematic flow chart of an epidemic self-checking method according to another embodiment of the present invention;
FIG. 6 is a schematic block diagram of an epidemic situation self-checking device according to an embodiment of the present invention;
FIG. 7 is a schematic block diagram of a transmitting unit of the epidemic situation self-checking device provided by the embodiment of the invention;
FIG. 8 is a schematic block diagram of a first return unit of an epidemic self-checking apparatus provided by an embodiment of the present invention;
FIG. 9 is a schematic block diagram of an input unit of an epidemic self-checking device provided by an embodiment of the invention;
FIG. 10 is a schematic block diagram of an epidemic situation self-checking device according to another embodiment of the present invention;
FIG. 11 is a schematic block diagram of an epidemic situation self-checking device according to another embodiment of the present invention; and
fig. 12 is a schematic block diagram of a computer device according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be understood that the terms "comprises" and "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in the present specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
As used in this specification and the appended claims, the term "if" may be interpreted as "when..once" or "in response to a determination" or "in response to detection" depending on the context. Similarly, the phrase "if a determination" or "if a [ described condition or event ] is detected" may be interpreted in the context of meaning "upon determination" or "in response to determination" or "upon detection of a [ described condition or event ]" or "in response to detection of a [ described condition or event ]".
Referring to fig. 1, fig. 1 is a schematic flow chart of an epidemic situation self-checking method according to an embodiment of the invention. The epidemic situation self-checking method provided by the embodiment of the invention can be applied to intelligent terminal equipment such as a smart phone, a portable computer, a tablet personal computer and the like, and the epidemic situation self-checking method is realized through software installed on the terminal such as an application program named an epidemic situation self-checking dialogue management platform, so that the risk of infection of a screener is reduced and the labor cost is reduced. The epidemic self-checking method is described in detail below. As shown in fig. 1, the method includes the following steps S100 to S150.
S100, receiving an epidemic situation self-checking instruction.
In the embodiment of the invention, the epidemic situation self-checking dialogue management platform is compatible with two epidemic situation self-checking service modes, namely an instant message application service mode and a customer service telephone service mode. If the service mode is applied to the instant message, a person needing to be screened clicks an epidemic situation self-checking button in an epidemic situation self-checking dialogue management platform to trigger the sending of an epidemic situation self-checking instruction, so that an epidemic situation self-checking flow is started; if the service mode is customer service telephone service mode, the epidemic situation self-checking dialogue management platform automatically initiates robot communication service to a preset screening person according to preset time and preset frequency, namely, an epidemic situation self-checking instruction is sent, so that an epidemic situation self-checking flow is started. The epidemic situation self-checking dialogue management platform performs epidemic situation questionnaire information investigation on the screeners in a question-answering mode, gives out an epidemic situation self-checking result based on the epidemic situation questionnaire information investigation, thereby realizing timely diagnosis, reducing labor cost and being beneficial to national epidemic situation monitoring and general investigation.
S110, acquiring a preset epidemic situation questionnaire related to the epidemic situation self-checking instruction.
In the embodiment of the invention, after an epidemic situation self-checking dialogue management platform receives an epidemic situation self-checking instruction, a preset epidemic situation questionnaire related to the epidemic situation self-checking instruction is acquired.
S120, sending questions to be answered in the preset epidemic situation questionnaire to the screener and acquiring answer information input by the screener according to the questions to be answered.
In the embodiment of the invention, after the preset epidemic situation questionnaire related to the epidemic situation self-checking instruction is acquired, the questions to be answered in the preset epidemic situation questionnaire are sent to the screener, and the answer information input by the screener is acquired according to the questions to be answered.
In some embodiments, such as the present embodiment, the step S120 may include steps S121-S122, as shown in fig. 2.
S121, sending the questions to be answered in the preset epidemic questionnaire to a screener in a preset mode.
S122, acquiring answer information input by a screener corresponding to the questions to be answered based on an NLP model.
In the embodiment of the invention, the questions to be answered in the preset epidemic situation questionnaire are sent to the screener in a preset mode. If the preset questions to be answered in the preset epidemic questionnaire are sent to the screener in a voice mode, the epidemic self-checking dialogue management platform firstly converts answer information input by the screener according to the questions to be answered into readable input of the epidemic self-checking dialogue management platform through an ASR (Automatic SpeechRecognition) technology so as to facilitate subsequent input of an NLP (Natural Language Processing ) model. Understandably, if the questions to be answered in the preset epidemic questionnaire are sent to the screeners in a text mode, the NLP model can be directly input without the conversion of an ASR technology, and answer information input by the screeners corresponding to the questions to be answered is acquired based on the NLP model. Among these, NLP models are the interdisciplinary of computer science, artificial intelligence, and linguistics, with the goal of letting computers process or "understand" natural language. In the embodiment, the response information input by the screener can be processed through the NLP model to generate a language which can be identified by the epidemic situation self-checking dialogue management platform.
S130, inputting the questions to be answered and the answer information into a preset diagnosis dialogue model to output the next questions to be answered and taking the next questions to be answered as the current questions to be answered.
And S140, judging whether the questionnaire information in the preset epidemic situation questionnaire meets the preset conditions, if the questionnaire information in the preset epidemic situation questionnaire does not meet the preset conditions, returning to the step S120, otherwise, executing the step S150.
In the embodiment of the invention, the questions to be answered and the answer information are input into a preset diagnosis dialogue model to output the questions to be answered, wherein the preset diagnosis dialogue model comprises a dialogue state tracking technology, a preset diagnosis knowledge base and an action candidate technology, and the questions to be answered can be decided by the three technologies; after deciding the next question to be answered, taking the next question to be answered as the current question to be answered, judging whether the questionnaire information in the preset epidemic situation questionnaire meets the preset condition, if the questionnaire information in the preset epidemic situation questionnaire does not meet the preset condition, returning to execute the step of sending the question to be answered in the preset epidemic situation questionnaire to the screener and acquiring the answer information input by the screener according to the question to be answered, namely executing step S120, and continuously asking the screener for the question and acquiring the answer information.
In some embodiments, such as the present embodiment, the step S130 may include steps S131-S35, as shown in fig. 3.
S131, judging whether a preset diagnosis dialogue model is in an online mode according to a dialogue state tracking technology, if the preset diagnosis dialogue model is in the online mode, executing a step S132, otherwise, executing a step 135;
s132, inputting the questions to be answered and the answer information into a preset diagnosis knowledge base to obtain internal nodes in a preset diagnosis decision tree;
s133, deciding a next question to be answered based on the internal node and the action candidate technology;
s134, taking the next question to be answered as the current question to be answered, and if the questionnaire information in the preset epidemic situation questionnaire does not meet the preset conditions, returning to the step S120;
s135, sending prompt information of the epidemic situation self-checking completion to the screener.
Judging whether a preset diagnosis dialogue model is in an online mode according to a dialogue state tracking technology, if the preset diagnosis dialogue model is in a offline mode, indicating that an epidemic situation self-checking dialogue management platform is not in a question-answering dialogue mode, and sending prompt information of the end of epidemic situation self-checking to a screener if a screener does not answer a question of the epidemic situation self-checking dialogue management platform within a preset time; if the preset diagnosis dialogue model is in an online mode, which indicates that a screener is carrying out epidemic situation self-checking in the epidemic situation self-checking dialogue management platform, namely, the epidemic situation self-checking dialogue management platform is in a question-answering dialogue mode, the questions to be answered and the answer information are input into a preset diagnosis knowledge base to obtain internal nodes in a preset diagnosis decision tree. The preset diagnosis knowledge base comprises a preset diagnosis decision tree, a preset screener portrait, a preset similar crowd portrait and a preset epidemic situation knowledge base; the preset diagnosis decision tree is a multi-classification model for making decisions by utilizing a tree model, and comprises a root node, internal nodes and leaf nodes, wherein the root node comprises a set of all data in a data set, each internal node is a judging condition, each leaf node is a conclusion, and the conclusion is obtained by multiple judgment from the root node; presetting a screener portrait, wherein the screener portrait comprises age, sex, disease history, life habit and the like of the screener; presetting images of similar people as people with common characteristics, such as people with common disease history; the epidemic situation knowledge base is preset as a knowledge reserve base related to the epidemic situation. Specifically, the questions to be answered and the answer information are input into a preset diagnosis decision tree in a preset diagnosis knowledge base, and the preset diagnosis decision tree is combined with a preset screener portrait, a preset similar crowd portrait and a preset epidemic knowledge base to be matched to obtain internal nodes in the preset diagnosis decision tree. Deciding a next question to be answered based on the internal node and an action candidate technology, wherein the action candidate technology is a mechanism for deciding a correct action through reinforcement learning; and taking the next question to be answered as the current question to be answered, and if the questionnaire information in the preset epidemic situation questionnaire does not meet the preset condition, returning to execute the step of sending the question to be answered in the preset epidemic situation questionnaire to the screener and acquiring the answer information input by the screener according to the question to be answered, so that the screener can conveniently further perfect the preset epidemic situation questionnaire, and thus the epidemic situation self-checking is realized.
S150, generating epidemic situation self-checking results according to the questionnaire information.
In the embodiment of the invention, if the questionnaire information in the preset epidemic situation questionnaire meets the preset condition, the epidemic situation self-checking dialogue management platform can generate an epidemic situation self-checking result according to the questionnaire information, and the preset epidemic situation questionnaire is not required to be further perfected. The questionnaire information in the preset epidemic questionnaire is questions to be answered and answer information corresponding to the questions to be answered in the preset epidemic questionnaire. The preset condition is a preset ending problem set by the epidemic situation self-checking dialogue management platform. In practical application, if the question to be answered in the preset epidemic situation questionnaire information is a preset ending question, the fact that the epidemic situation self-checking result can be generated according to the questionnaire information in the preset epidemic situation questionnaire is indicated, otherwise, the fact that the epidemic situation self-checking result cannot be generated is indicated, and the next question to be answered needs to be sent to continue screening. It should be noted that, the number of preset ending questions is multiple, that is, there may be multiple routes for answering questions according to different answer information of the screeners.
Fig. 4 is a flow chart of an epidemic situation self-checking method according to another embodiment of the present invention, as shown in fig. 4, in this embodiment, the epidemic situation self-checking method of the present embodiment includes steps S200 to S260. Steps S200 to S250 are similar to steps S100 to S150 in the above embodiment, and are not described herein. Step S260 added in the present embodiment is described in detail below.
S260, acquiring the epidemic situation self-checking result and feeding back the acquired epidemic situation self-checking result to a screener.
In the embodiment of the invention, after an epidemic situation self-checking result is generated according to the acquired epidemic situation questionnaire information, the epidemic situation self-checking result is acquired and fed back to a screener. In practical application, if the epidemic situation self-checking dialogue management platform sends a To-be-answered question To a screener in a voice mode, the epidemic situation self-checking dialogue management platform firstly converts an epidemic situation self-checking result into voice through a TTS (Text To Speech) technology and outputs the voice To the screener; if the epidemic situation self-checking dialogue management platform sends the questions to be answered to the screener in a text mode, the epidemic situation self-checking results can be directly fed back to the screener for the screener to check. It should be noted that the epidemic situation self-checking result includes risk level, action advice, pushing of protection knowledge, and the like. The risk grade is classified into high risk, middle risk and low risk, and if the risk grade is high risk, the patient needs to go offline for diagnosis; if the risk level is the risk of apoplexy, the household isolation and telemedicine can be realized; if the risk level is low, the health can be strengthened and the self-protection can be realized.
Fig. 5 is a flow chart of an epidemic self-checking method according to another embodiment of the present invention, as shown in fig. 5, in this embodiment, the epidemic self-checking method includes steps S300-S360. Steps S300 to S360 are similar to steps S200 to S260 in the above embodiment, and are not described herein. Steps S370 to S390 added in the present embodiment are described in detail below.
S370, judging whether a modification instruction sent by a screener is received, if the modification instruction sent by the screener is received, executing a step S380, otherwise, executing a step S390;
s380, returning the response information input by the screener according to the to-be-answered question in the modification instruction as the response information to execute S330;
s390, storing the epidemic situation self-checking result of the screener into a database.
In the embodiment of the invention, after the epidemic situation self-checking result is obtained and the obtained epidemic situation self-checking result is fed back to the screener, whether a modification instruction sent by the screener is received is judged, if the modification instruction sent by the screener is received, the fact that the screener inputs the answer information according to the to-be-answered questions is indicated to be wrong or the result of the epidemic situation self-checking is unsatisfactory, the answer information input by the screener according to the to-be-answered questions in the modification instruction is taken as the answer information, and the step of executing whether the preset condition is met or not by the preset epidemic situation questionnaire information is returned, so that the step of executing whether the preset condition is met by the preset epidemic situation questionnaire information is required to be returned, because the change of the answer information influences the next to-be-answered questions and the answer information corresponding to the next to-be-answered questions. If the modification instruction sent by the screener is not received, the screener is satisfied with the preset epidemic situation file information and the epidemic situation self-checking result, the epidemic situation self-checking result of the screener can be stored into a database for facilitating data query, the database is arranged in a back-end management system, and the back-end management system can be communicated with an epidemic situation self-checking dialogue management platform on the terminal equipment, so that data storage is facilitated. If the risk level of the epidemic situation self-checking result is high risk, the screener can be marked with a preset mark, such as a highlight prompt, so that the inquirer can conveniently and rapidly distinguish high, medium and low risk groups.
Fig. 6 is a schematic block diagram of an epidemic situation self-checking device 60 provided in an embodiment of the present invention. As shown in fig. 6, the present invention also provides an epidemic self-checking device 60 corresponding to the above epidemic self-checking method. The epidemic self-checking device 60 includes means for performing the above-described epidemic self-checking method. Specifically, referring to fig. 6, the epidemic situation self-checking device 60 includes a receiving unit 61, an obtaining unit 62, a transmitting unit 63, a first returning unit 64, and a generating unit 65.
Wherein, the receiving unit 61 is used for receiving an epidemic situation self-checking instruction; the acquiring unit 62 is configured to acquire a preset epidemic situation questionnaire related to the epidemic situation self-checking instruction; the sending unit 63 is configured to send questions to be answered in the preset epidemic situation questionnaire to a screener and obtain answer information input by the screener according to the questions to be answered; the first return unit 64 is configured to input the question to be answered and the answer information into a preset diagnosis dialogue model to output a next question to be answered and take the next question to be answered as a current question to be answered, and if the questionnaire information in the preset epidemic questionnaire does not meet a preset condition, return to executing the step of sending the question to be answered in the preset epidemic questionnaire to the screener and obtaining answer information input by the screener according to the question to be answered; the generating unit 65 is configured to generate an epidemic situation self-checking result according to the questionnaire information if the questionnaire information in the preset epidemic situation questionnaire meets a preset condition.
In some embodiments, for example, the present embodiment, referring to fig. 7, the sending unit 63 includes a sending subunit 631 and an obtaining subunit 632.
The sending subunit 631 is configured to send the questions to be answered in the preset epidemic situation questionnaire to a screener in a preset manner; the acquiring subunit 632 is configured to acquire answer information entered by the screener corresponding to the question to be answered based on the NLP model.
In some embodiments, for example, referring to fig. 8, the first return unit 64 includes a judging subunit 641, an input unit 642, a decision unit 643, and a return subunit 644.
Wherein the judging subunit 641 is configured to judge whether the preset diagnostic dialogue model is an online mode according to a dialogue state tracking technique; the input unit 642 is configured to input the to-be-answered question and the answer information into a preset diagnosis knowledge base to obtain an internal node in a preset diagnosis decision tree if the preset diagnosis dialogue model is in an online mode; the decision unit 643 is configured to decide a next question to be answered based on the internal node and the action candidate technique; the return subunit 644 is configured to take the next question to be answered as a current question to be answered, and if the questionnaire information in the preset epidemic questionnaire does not meet the preset condition, return to executing the step of sending the question to be answered in the preset epidemic questionnaire to the screener and obtaining the answer information input by the screener according to the question to be answered.
In some embodiments, for example, the present embodiment, referring to fig. 9, the input unit 642 includes an input subunit 6421.
The input subunit 6421 is configured to input the to-be-answered questions and the answer information into a preset diagnosis decision tree in a preset diagnosis knowledge base if the preset diagnosis dialogue model is in an online mode, where the preset diagnosis decision tree is combined with a preset screener figure, a preset similar crowd figure, and a preset epidemic knowledge base to obtain internal nodes in the preset diagnosis decision tree.
FIG. 10 is a schematic block diagram of an epidemic self-checking device 60 according to another embodiment of the present invention. As shown in fig. 10, the epidemic situation self-checking device 60 of the present embodiment is added with the feedback unit 66 on the basis of the above-described embodiment.
The feedback unit 66 is configured to obtain the epidemic situation self-checking result and feed back the obtained epidemic situation self-checking result to a screener.
FIG. 11 is a schematic block diagram of an epidemic self-checking device 60 according to yet another embodiment of the present invention. As shown in fig. 11, the epidemic situation self-checking device 60 of the present embodiment is added with the judging unit 67, the second returning unit 68, and the storing unit 69 in addition to the above-described embodiments.
Wherein, the judging unit 67 is used for judging whether a modification instruction sent by the screener is received; the second return unit 68 is configured to, if the modification instruction sent by the screener is received, return, with answer information entered by the screener according to the question to be answered in the modification instruction as the answer information, the step of obtaining questionnaire information in the preset epidemic questionnaire and determining whether the questionnaire information meets a preset condition; the storage unit 69 is configured to store the epidemic situation self-checking result of the screener to a database if the modification instruction sent by the screener is not received.
The epidemic self-checking device can be implemented in the form of a computer program which can be run on a computer device as shown in fig. 12.
Referring to fig. 12, fig. 12 is a schematic block diagram of a computer device according to an embodiment of the present application. The computer device 900 is a terminal, which may be an intelligent terminal device such as a smart phone, a portable computer, a tablet computer, etc.
With reference to fig. 12, the computer device 900 includes a processor 902, a memory and an interface 907 connected by a system bus 901, wherein the memory may include a non-volatile storage medium 903 and an internal memory 904.
The non-volatile storage medium 903 may store an operating system 9031 and a computer program 9032. The computer program 9032, when executed, may cause the processor 902 to perform an epidemic self-checking method.
The processor 902 is operable to provide computing and control capabilities to support the operation of the overall computer device 900.
The internal memory 904 provides an environment for the execution of a computer program 9032 in a non-volatile storage medium 903, which computer program 9032, when executed by the processor 902, causes the processor 902 to perform an epidemic self-checking method.
The interface 905 is used to communicate with other devices. Those skilled in the art will appreciate that the architecture shown in fig. 12 is merely a block diagram of a portion of the architecture in connection with the present application and is not intended to limit the computer device 900 to which the present application is applied, and that a particular computer device 900 may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
Wherein the processor 902 is configured to execute a computer program 9032 stored in a memory, so as to implement the following steps: receiving an epidemic situation self-checking instruction; acquiring a preset epidemic situation questionnaire related to the epidemic situation self-checking instruction; sending questions to be answered in the preset epidemic questionnaire to a screener and acquiring answer information input by the screener according to the questions to be answered; inputting the questions to be answered and the answer information into a preset diagnosis dialogue model to output the next questions to be answered and take the next questions to be answered as the current questions to be answered, and if the questionnaire information in the preset epidemic questionnaire does not meet the preset conditions, returning to execute the step of sending the questions to be answered in the preset epidemic questionnaire to the screener and acquiring the answer information input by the screener according to the questions to be answered; if the questionnaire information in the preset epidemic situation questionnaire meets the preset conditions, generating an epidemic situation self-checking result according to the questionnaire information.
In some embodiments, for example, in this embodiment, when the processor 902 implements the sending of the questions to be answered in the preset epidemic questionnaire to the screener and obtaining answer information recorded by the screener according to the questions to be answered, the following steps are specifically implemented: sending the questions to be answered in the preset epidemic situation questionnaire to a screener in a preset mode; and acquiring answer information input by a screener corresponding to the to-be-answered question based on an NLP model.
In some embodiments, for example, in this embodiment, when the step of inputting the questions to be answered and the answer information into a preset diagnosis dialogue model to output a next question to be answered and take the next question to be the current question to be answered is implemented, if the questionnaire information in the preset epidemic questionnaire does not meet the preset condition, the step of sending the questions to be answered in the preset epidemic questionnaire to the screener and obtaining the answer information input by the screener according to the questions to be answered is performed by the processor 902, the following steps are specifically implemented: judging whether a preset diagnosis dialogue model is an online mode or not according to dialogue state tracking technology; if the preset diagnosis dialogue model is in an online mode, inputting the questions to be answered and the answer information into a preset diagnosis knowledge base to obtain internal nodes in a preset diagnosis decision tree; deciding a next question to be answered based on the internal node and the action candidate technology; and taking the next question to be answered as the current question to be answered, and if the questionnaire information in the preset epidemic situation questionnaire does not meet the preset condition, returning to execute the step of sending the question to be answered in the preset epidemic situation questionnaire to the screener and acquiring the answer information input by the screener according to the question to be answered.
In some embodiments, for example, in this embodiment, when the processor 902 implements the step of inputting the questions to be answered and the answer information into a preset diagnosis knowledge base to obtain internal nodes in a preset diagnosis decision tree if the preset diagnosis dialogue model is in an online mode, the following steps are specifically implemented: if the preset diagnosis dialogue model is in an online mode, inputting the questions to be answered and the answer information into a preset diagnosis decision tree in a preset diagnosis knowledge base, and matching the preset diagnosis decision tree with a preset screener portrait, a preset similar crowd portrait and a preset epidemic knowledge base to obtain internal nodes in the preset diagnosis decision tree.
In some embodiments, for example, in this embodiment, after implementing the step of generating an epidemic self-checking result according to the questionnaire information if the questionnaire information in the preset epidemic questionnaire meets a preset condition, the specific implementation further includes the following steps: obtaining the epidemic situation self-checking result and feeding back the obtained epidemic situation self-checking result to a screener.
In some embodiments, for example, the processor 902 may further include, after implementing the step of obtaining the epidemic situation self-checking result and feeding back the obtained epidemic situation self-checking result to the screener, the specific implementation further includes the steps of: judging whether a modification instruction sent by a screener is received or not; if the modification instruction sent by the screener is received, the response information input by the screener according to the questions to be answered in the modification instruction is used as the response information, and the step of inputting the questions to be answered and the response information into a preset diagnosis dialogue model to output the next questions to be answered and using the next questions to be answered as the current questions to be answered is performed; and if the modification instruction sent by the screener is not received, storing the epidemic situation self-checking result of the screener into a database.
It should be appreciated that in embodiments of the present application, the processor 902 may be a central processing unit (CentralProcessing Unit, CPU), the processor 902 may also be other general purpose processors, digital signal processors (DigitalSignal Processor, DSPs), application specific integrated circuits (Application Specific Integrated Circuit, ASICs), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. Wherein the general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
Those skilled in the art will appreciate that all or part of the flow in a method embodying the above described embodiments may be accomplished by computer programs instructing the relevant hardware. The computer program may be stored in a storage medium that is a computer readable storage medium. The computer program is executed by at least one processor in the computer system to implement the flow steps of the embodiments of the method described above.
Accordingly, the present invention also provides a storage medium. The storage medium may be a computer readable storage medium. The storage medium stores a computer program. The computer program, when executed by a processor, causes the processor to perform the steps of: receiving an epidemic situation self-checking instruction; acquiring a preset epidemic situation questionnaire related to the epidemic situation self-checking instruction; sending questions to be answered in the preset epidemic questionnaire to a screener and acquiring answer information input by the screener according to the questions to be answered; inputting the questions to be answered and the answer information into a preset diagnosis dialogue model to output the next questions to be answered and take the next questions to be answered as the current questions to be answered, and if the questionnaire information in the preset epidemic questionnaire does not meet the preset conditions, returning to execute the step of sending the questions to be answered in the preset epidemic questionnaire to the screener and acquiring the answer information input by the screener according to the questions to be answered; if the questionnaire information in the preset epidemic situation questionnaire meets the preset conditions, generating an epidemic situation self-checking result according to the questionnaire information.
In some embodiments, for example, in this embodiment, when the processor executes the computer program to implement the step of sending questions to be answered in the preset epidemic questionnaire to the screener and obtaining answer information recorded by the screener according to the questions to be answered, the specific implementation steps include: sending the questions to be answered in the preset epidemic situation questionnaire to a screener in a preset mode; and acquiring answer information input by a screener corresponding to the to-be-answered question based on an NLP model.
In some embodiments, for example, in this embodiment, when the processor executes the computer program to implement the step of inputting the questions to be answered and the answer information into a preset diagnosis dialogue model to output a next question to be answered and take the next question to be the current question to be answered, if the questionnaire information in the preset epidemic questionnaire does not meet the preset condition, returning to execute the step of sending the questions to be answered in the preset epidemic questionnaire to the screener and obtaining the answer information input by the screener according to the questions to be answered, specifically implement the following steps: judging whether a preset diagnosis dialogue model is an online mode or not according to dialogue state tracking technology; if the preset diagnosis dialogue model is in an online mode, inputting the questions to be answered and the answer information into a preset diagnosis knowledge base to obtain internal nodes in a preset diagnosis decision tree; deciding a next question to be answered based on the internal node and the action candidate technology; and taking the next question to be answered as the current question to be answered, and if the questionnaire information in the preset epidemic situation questionnaire does not meet the preset condition, returning to execute the step of sending the question to be answered in the preset epidemic situation questionnaire to the screener and acquiring the answer information input by the screener according to the question to be answered.
In some embodiments, for example, when the processor executes the computer program to implement the step of inputting the questions to be answered and the answer information into a preset diagnosis knowledge base to obtain internal nodes in a preset diagnosis decision tree if the preset diagnosis dialogue model is in an online mode, the method specifically includes the following steps: if the preset diagnosis dialogue model is in an online mode, inputting the questions to be answered and the answer information into a preset diagnosis decision tree in a preset diagnosis knowledge base, and matching the preset diagnosis decision tree with a preset screener portrait, a preset similar crowd portrait and a preset epidemic knowledge base to obtain internal nodes in the preset diagnosis decision tree.
In some embodiments, for example, in this embodiment, after the processor executes the computer program to implement the step of generating the epidemic self-checking result according to the questionnaire information if the questionnaire information in the preset epidemic questionnaire meets the preset condition, the method further includes the specific implementation steps of: obtaining the epidemic situation self-checking result and feeding back the obtained epidemic situation self-checking result to a screener.
In some embodiments, for example, the step of the processor, after executing the computer program to obtain the epidemic situation self-checking result and feeding back the obtained epidemic situation self-checking result to the screener, further includes the specific implementation steps of: judging whether a modification instruction sent by a screener is received or not; if the modification instruction sent by the screener is received, the response information input by the screener according to the questions to be answered in the modification instruction is used as the response information, and the step of inputting the questions to be answered and the response information into a preset diagnosis dialogue model to output the next questions to be answered and using the next questions to be answered as the current questions to be answered is performed; and if the modification instruction sent by the screener is not received, storing the epidemic situation self-checking result of the screener into a database.
The storage medium may be a U-disk, a removable hard disk, a Read-Only Memory (ROM), a magnetic disk, or an optical disk, or other various computer-readable storage media that can store program codes.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps described in connection with the embodiments disclosed herein may be embodied in electronic hardware, in computer software, or in a combination of the two, and that the elements and steps of the examples have been generally described in terms of function in the foregoing description to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the several embodiments provided by the present invention, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the device embodiments described above are merely illustrative. For example, the division of each unit is only one logic function division, and there may be another division manner in actual implementation. For example, multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed.
The steps in the method of the embodiment of the invention can be sequentially adjusted, combined and deleted according to actual needs. The units in the device of the embodiment of the invention can be combined, divided and deleted according to actual needs. In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The integrated unit may be stored in a storage medium if implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, the technical solution of the present invention is essentially or a part contributing to the prior art, or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a terminal, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention.
In the foregoing embodiments, the descriptions of the embodiments are focused on, and for those portions of one embodiment that are not described in detail, reference may be made to the related descriptions of other embodiments.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
While the invention has been described with reference to certain preferred embodiments, it will be understood by those skilled in the art that various changes and substitutions of equivalents may be made and equivalents will be apparent to those skilled in the art without departing from the scope of the invention. Therefore, the protection scope of the invention is subject to the protection scope of the claims.
Claims (8)
1. An epidemic situation self-checking method, comprising:
receiving an epidemic situation self-checking instruction;
acquiring a preset epidemic situation questionnaire related to the epidemic situation self-checking instruction;
sending questions to be answered in the preset epidemic questionnaire to a screener and acquiring answer information input by the screener according to the questions to be answered;
judging whether a preset diagnosis dialogue model is an online mode or not according to dialogue state tracking technology;
If the preset diagnosis dialogue model is in an online mode, inputting the questions to be answered and the answer information into a preset diagnosis decision tree in a preset diagnosis knowledge base, wherein the preset diagnosis decision tree is combined with a preset screener portrait, a preset similar crowd portrait and a preset epidemic situation knowledge base to obtain internal nodes in the preset diagnosis decision tree, the preset diagnosis decision tree is a multi-classification model for making decisions by using a tree model, the preset screener portrait comprises the age, sex, disease history and life habits of a screener, the preset similar crowd portrait is a person with common characteristics, and the preset epidemic situation knowledge base is a knowledge reservoir related to epidemic situation;
deciding a next question to be answered based on the internal node and an action candidate technology, wherein the action candidate technology is a mechanism for deciding a correct action through reinforcement learning;
taking the next question to be answered as a current question to be answered, and if the questionnaire information in the preset epidemic situation questionnaire does not meet the preset condition, returning to execute the step of sending the question to be answered in the preset epidemic situation questionnaire to the screener and acquiring answer information input by the screener according to the question to be answered;
If the questionnaire information in the preset epidemic situation questionnaire meets the preset conditions, generating an epidemic situation self-checking result according to the questionnaire information.
2. The epidemic self-checking method according to claim 1, wherein the sending the questions to be answered in the preset epidemic questionnaire to the screener and obtaining answer information entered by the screener according to the questions to be answered comprises:
sending the questions to be answered in the preset epidemic situation questionnaire to a screener in a preset mode;
and acquiring answer information input by a screener corresponding to the to-be-answered question based on an NLP model.
3. The epidemic situation self-checking method according to claim 1, wherein after the step of generating an epidemic situation self-checking result according to the questionnaire information if the questionnaire information in the preset epidemic situation questionnaire satisfies a preset condition, further comprising:
obtaining the epidemic situation self-checking result and feeding back the obtained epidemic situation self-checking result to a screener.
4. The epidemic self-checking method according to claim 3, wherein after the step of acquiring the epidemic self-checking result and feeding back the acquired epidemic self-checking result to a screener, further comprising:
Judging whether a modification instruction sent by a screener is received or not;
and if the modification instruction sent by the screener is received, taking the answer information recorded by the screener according to the questions to be answered in the modification instruction as the answer information, and returning to the step of inputting the questions to be answered and the answer information into a preset diagnosis dialogue model to output the next questions to be answered and taking the next questions to be answered as the current questions to be answered.
5. The epidemic self-checking method according to claim 4, wherein said determining whether a modification instruction sent by a screener is received further comprises:
and if the modification instruction sent by the screener is not received, storing the epidemic situation self-checking result of the screener into a database.
6. An epidemic situation self-checking device, comprising:
the receiving unit is used for receiving epidemic situation self-checking instructions;
the acquisition unit is used for acquiring a preset epidemic situation questionnaire related to the epidemic situation self-checking instruction;
the sending unit is used for sending questions to be answered in the preset epidemic situation questionnaire to the screener and acquiring answer information input by the screener according to the questions to be answered;
the judging subunit is used for judging whether the preset diagnosis dialogue model is in an online mode according to the dialogue state tracking technology;
The input subunit is configured to input the to-be-answered question and the answer information into a preset diagnosis decision tree in a preset diagnosis knowledge base if the preset diagnosis dialogue model is in an online mode, wherein the preset diagnosis decision tree is combined with a preset screener portrait, a preset similar crowd portrait and a preset epidemic situation knowledge base to obtain internal nodes in the preset diagnosis decision tree, the preset diagnosis decision tree is a multi-classification model for making a decision by using a tree model, the preset screener portrait comprises the age, sex, disease history and life habit of a screener, the preset similar crowd portrait is a person with common characteristics, and the preset epidemic situation knowledge base is a knowledge reserve base related to an epidemic situation;
the decision unit is used for deciding a next question to be answered based on the internal node and the action candidate technology, wherein the action candidate technology is a mechanism for deciding a correct action through reinforcement learning;
a return subunit, configured to take the next question to be answered as a current question to be answered, and if the questionnaire information in the preset epidemic situation questionnaire does not meet the preset condition, return to the step of executing the step of sending the question to be answered in the preset epidemic situation questionnaire to the screener and obtaining answer information input by the screener according to the question to be answered;
The generating unit is used for generating epidemic situation self-checking results according to the questionnaire information if the questionnaire information in the preset epidemic situation questionnaire meets preset conditions.
7. A computer device, characterized in that it comprises a memory and a processor, on which a computer program is stored, which processor implements the method according to any of claims 1-5 when executing the computer program.
8. A computer readable storage medium, characterized in that the storage medium stores a computer program which, when executed by a processor, implements the method according to any of claims 1-5.
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| CN111261253A (en) * | 2020-02-27 | 2020-06-09 | 上海金晋智能科技有限公司 | System and method for rapidly identifying suspected persons by AI inquiry communication |
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| CN110059170A (en) * | 2019-03-21 | 2019-07-26 | 北京邮电大学 | More wheels based on user's interaction talk with on-line training method and system |
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