CN113257423A - Health detection system and method and electronic equipment - Google Patents
Health detection system and method and electronic equipment Download PDFInfo
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Abstract
The invention provides a health detection system, a method and electronic equipment, relating to the technical field of health detection, wherein the system comprises: the system comprises a health information input module, a symptom tag determining module, an associated topic dynamic generating module and a health analysis module; the health information input module is used for acquiring health data input by a user, and the health data are acquired by answering questions of the user; the symptom label determining module is used for determining the symptoms of the user according to the answer result and generating a symptom label; the associated question dynamic generation module is used for dynamically generating an associated question according to the symptom label; the health analysis module is used for analyzing the answer result of the associated question and finally obtaining the health detection result of the user. The system can ask a user for a targeted question, can automatically generate an associated question for subsequent answering according to the current answering result of the user, increases the interactivity and the relevance of the health detection process, and is favorable for improving the detection precision.
Description
Technical Field
The present invention relates to the field of health detection technologies, and in particular, to a health detection system, a health detection method, and an electronic device.
Background
At present, medical resources are increasingly tense, health detection is used as an auxiliary mode of medical diagnosis, the health degree of a user can be obtained under the condition that the user does not go to a hospital, and the user can conveniently and quickly obtain the health condition of the user while medical resource occupation is reduced.
With the development of communication technology, the existing health detection is gradually realized in an internet manner, and a user performs health detection in an answer manner by using a mobile terminal. However, in the health detection process in the prior art, the relevance of questions is poor, the interaction capability is weak, and the user cannot ask a targeted question according to the answer, so that the accuracy of the health detection is low.
Disclosure of Invention
In view of this, an object of the present invention is to provide a health detection system, a method and an electronic device, where the system can ask a user a targeted question, and can automatically generate a relevant question for a subsequent answer according to a current answer result of the user, so as to improve interactivity and relevance in a health detection process, and facilitate improvement of health detection accuracy.
In a first aspect, an embodiment of the present invention provides a health detection system, where the system includes: the system comprises a health information input module, a symptom tag determining module, an associated topic dynamic generating module and a health analysis module;
the health information input module is used for acquiring health data input by a user; wherein, the health data is obtained by answering questions of the user;
the symptom label determining module is used for determining the symptom of the user according to the answer result of the user and determining a symptom label according to the symptom;
the associated question dynamic generation module is used for dynamically generating an associated question corresponding to the symptom label according to the symptom label;
and the health analysis module is used for analyzing the answer result of the associated question to determine the syndrome type analysis result of the user and determining the health detection result of the user according to the syndrome type analysis result.
In some embodiments, the health information input module comprises: a chief complaint module, an associated symptom module, and other symptom modules;
the chief complaint module is used for acquiring chief complaint symptom data input by a user;
the other symptom module is used for acquiring other symptom data input by a user; wherein the other symptom data is different from the chief complaint symptom data;
and the associated symptom module is used for associating other symptom data to obtain the symptom data corresponding to the other symptom data.
In some embodiments, a symptom tag determination module comprises: the system comprises a chief complaint symptom label determining module, an accompanying symptom label determining module and a physique label determining module;
the chief complaint label determining module is used for determining the chief complaint of the user according to the user answering result and determining the chief complaint label of the user according to the chief complaint;
the accompanying symptom label determining module is used for determining accompanying symptoms of the user according to the chief complaint symptoms;
and the physique tag determining module is used for determining the physique data of the user according to the answer result in the preset time and determining the physique tag of the user according to the physique data.
In some embodiments, the associated topic dynamic generation module comprises: the system comprises a symptom tag storage module, a symptom tag generation module and an associated topic generation module;
the symptom label storage module is used for storing a storage table containing the corresponding relation between the symptoms and the labels; wherein the storage table comprises a title table and an option table; the title table is used for providing titles in the associated questions; the option table is used for providing options of associated questions;
the symptom label generating module is used for determining a symptom label from the symptom label storage module according to the answer result of the user;
and the associated question generation module is used for dynamically generating associated questions from the question table and the option table according to the symptom tags.
In some embodiments, a health analysis module, comprising: a combined parameter analysis module, a constitution analysis module and a disease analysis module;
the combined parameter analysis module is used for determining the combined parameter syndrome result according to the syndrome corresponding to the chief complaint symptom data;
the physique analysis module is used for analyzing the physique of the general symptoms, the internal organ symptoms, the head, neck, shoulder, back, waist, chest and abdomen symptoms, the four limbs, the two yin organs, the five sense organs symptoms, the skin symptoms and the allergy symptoms of the user according to the answer results of the associated questions;
and the disease analysis module is used for determining the disease risk data of the user according to the answer result of the associated question.
In some embodiments, the health detection system further comprises: a historical data module;
the historical data module is used for storing the past medical history data of the user; the existing medical history data is used for being analyzed through the health analysis module, and the health detection result of the user is determined.
In some embodiments, the health detection system further comprises: a login module and a registration module;
the login module is used for providing login service for the user; wherein, the login service comprises: the method comprises the following steps of account password login, two-dimensional code scanning login, face brushing login and mobile phone number login for one or more login services;
the registration module is used for providing registration service for the user; and the registration service is registered through the mobile phone number of the user.
In some embodiments, the health detection system further comprises: a cloud storage module; the cloud storage module is used for storing health data input by a user; also for storing a symptom tag and associated questions for the user; and is also used for storing the health detection result of the user.
In a second aspect, an embodiment of the present invention provides a health detection method, which is applied to the health detection system mentioned in the first aspect, and the method includes:
acquiring health data input by a user; wherein, the health data is obtained by answering questions of the user;
determining the symptom of the user according to the answer result of the user, and determining a symptom label according to the symptom;
dynamically generating an associated problem corresponding to the symptom label according to the symptom label;
and analyzing the answer result of the associated question to determine the syndrome type analysis result of the user, and determining the health detection result of the user according to the syndrome type analysis result.
In a third aspect, an embodiment of the present invention further provides an electronic device, including a memory and a processor, where the memory stores a computer program that is executable on the processor, and when the processor executes the computer program, the steps of the health detection method mentioned in the second aspect are implemented.
In a fourth aspect, the present invention further provides a computer-readable medium having a non-volatile program code executable by a processor, where the program code causes the processor to execute the steps of the health detection method mentioned in the second aspect.
The embodiment of the invention brings at least the following beneficial effects:
the invention provides a health detection system, a health detection method and electronic equipment, wherein the system comprises: the system comprises a health information input module, a symptom tag determining module, an associated topic dynamic generating module and a health analysis module; the health information input module is used for acquiring health data input by a user, and the health data are acquired by answering questions of the user; the symptom label determining module is used for determining the symptom of the user according to the answer result of the user and determining a symptom label according to the symptom; the associated question dynamic generation module is used for dynamically generating an associated question corresponding to the symptom label according to the symptom label; the health analysis module is used for analyzing the answer result of the associated question to determine the syndrome type analysis result of the user and determining the health detection result of the user according to the syndrome type analysis result. The system can ask a user for a targeted question, can automatically generate an associated question for subsequent answering according to the current answering result of the user, improves the interactivity and the relevance in the health detection process, and is favorable for improving the precision of health detection.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention as set forth above.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art 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 can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a schematic structural diagram of a health detection system according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a health information input module in a health detection system according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a symptom tag determination module in a health detection system according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a dynamic associated topic generation module in a health detection system according to an embodiment of the present invention;
FIG. 5 is a flowchart illustrating associated topic acquisition in a health detection system according to an embodiment of the present invention;
FIG. 6 is a schematic structural diagram of a health analysis module in the health detection system according to an embodiment of the present invention;
FIG. 7 is a flowchart of a health detection method according to an embodiment of the present invention;
FIG. 8 is a flow chart of another method of health detection provided by embodiments of the present invention;
fig. 9 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Icon:
100-a health information input module; 200-symptom label determination module; 300-associated topic dynamic generation module; 400-a health analysis module; 110-a complaint module; 120-an associated symptoms module; 130-other symptoms module; 210-a chief complaint symptom label determination module; 220-accompanying symptom label determination module; 230-constitution label determination module; 310-symptom tag storage module; 320-symptom label generating module; 330-associated topic generation module; 410-combined parameter analysis module; 420-constitution analysis module; 430-a disease analysis module;
101-a processor; 102-a memory; 103-a bus; 104-communication interface.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
At present, medical resources are increasingly tense, health detection is used as an auxiliary mode of medical diagnosis, the health degree of a user can be obtained under the condition that the user does not go to a hospital, and the user can conveniently and quickly obtain the health condition of the user while medical resource occupation is reduced.
With the development of communication technology, the existing health detection is gradually realized in an internet manner, and a user performs health detection in an answer manner by using a mobile terminal. However, in the health detection process in the prior art, the relevance of questions is poor, the interaction capability is weak, and the user cannot ask a targeted question according to the answer, so that the accuracy of the health detection is low.
Based on this, the system, the method and the electronic device provided by the embodiment of the invention can perform targeted question asking for a user, and can automatically generate associated questions for subsequent answering according to the current answering result of the user, so that the interactivity and the relevance in the health detection process are improved, and the health detection precision is favorably improved.
For the convenience of understanding the present embodiment, a health detection system disclosed in the present embodiment will be described in detail first.
Referring to fig. 1, a schematic diagram of a health detection system is shown, the system including: the system comprises a health information input module 100, a symptom tag determination module 200, an associated topic dynamic generation module 300 and a health analysis module 400; a health information input module 100 for acquiring health data input by a user; wherein the health data is obtained by the user answering. And the symptom label determining module 200 is configured to determine a symptom of the user according to the answer result of the user, and determine a symptom label according to the symptom. The associated question dynamic generation module 300 is used for determining a symptom label of the user according to a result of answering the question of the user and dynamically generating an associated question corresponding to the symptom label according to the symptom label; and the health analysis module 400 is configured to analyze the answer result of the associated question to determine a health detection result of the user.
Specifically, the health information input module 100 may be deployed in a mobile communication terminal, such as a smart phone, a smart television, a tablet computer, and the like, and a user inputs health information into the health detection system through the mobile communication terminal; the health information input module 100 may also be deployed in a personal computer or a public computer, and a user inputs health information into the health detection system through a mobile communication terminal by using a keyboard or a touch screen.
When a user inputs health data through the health information input module 100, the health data is input in a manner of answering according to relevant questions provided by the health detection system; these topics contain questions related to the user's health status, such as: whether there is discomfort, whether there is a fundamental disease, etc. The health data is analyzed by the symptom label determination module 200 to obtain a symptom label, and a next associated question is dynamically generated according to the symptom label and provided to the user.
Specifically, the symptom label determination module 200 labels each symptom by the relationship between the symptom and the health degree, the relationship between the symptom and the symptom, and the relationship between the symptom and the disease. The associated topic dynamic generation module 300 automatically obtains a corresponding symptom tag according to the answer result of the user, and the automatic obtaining of the associated question is realized through the association between the symptom tag and the topic. After the user answers the first question, the associated question dynamic generation module 300 can automatically generate a second associated question according to the answer result and feed the second associated question back to the user, so that the interaction degree with the user is improved, and the accuracy of health detection is improved.
After the associated question dynamic generation module 300 provides all the current associated questions of the user, the health analysis module 400 is used to analyze the answer results of the associated questions to obtain the health detection result of the user. Specifically, the health analysis module 400 may detect the risk of illness of the user according to the discomfort symptoms of the user and the related symptom labels collected in the associated questions, and the result may be displayed in a percentage form, or may be displayed by setting a related safety range: such as high risk, medium risk, low risk, etc. The health analysis module 400 can also detect the physique of the user according to the basic data of the user and the disease risk data collected in the associated problem. The constitution detection result can be combined with the constitution in the traditional Chinese medicine, and the disease risk of the user, the disease name in the field of the traditional Chinese medicine and the syndrome type in the traditional Chinese medicine are obtained through analysis, so that the detection result of the traditional Chinese medicine syndrome type and the constitution detection result of the user are further obtained.
According to the health detection system in the embodiment, the system can ask a user for a targeted question, and can automatically generate an associated question for subsequent answering according to the current answering result of the user, so that the interactivity and the relevance in the health detection process are improved, and the accuracy of health detection is favorably improved.
In some embodiments, the health information input module 100, as shown in fig. 2, includes: a complaint module 110, an associated symptoms module 120, and an other symptoms module 130; a complaint module 110, configured to obtain complaint symptom data input by a user; the associated symptom module 120 is configured to associate other symptom data to obtain symptom data corresponding to the other symptom data; the other symptom module 130 is used for acquiring other symptom data input by the user; wherein the other symptom data is different from the chief complaint symptom data.
In particular, the complaint module 110 can be considered a basic input unit, and the complaint is the key to the health detection process as a narrative for the most prominent symptoms and/or signs. The symptoms are discovered after the user feels discomfort, and the physical signs are discovered by the user through constitutional characteristic changes. The symptoms and/or signs are input by the manner of answering questions, which is to obtain the chief complaint symptom data input by the user through the chief complaint module 110.
If there are no answers in the complaint module 110 that are not related to the user's symptoms and/or signs, the user can enter through the other symptoms module 130. The other symptoms module 130 can guide the user to answer the question continuously, and obtain other symptoms data different from the chief complaints symptoms data. The process needs to be implemented by using the associated symptom module 120, and the associated symptom module 120 may associate other symptom data to obtain symptom data corresponding to the other symptom data. For example, the converted health data may be obtained by obtaining the symptom name of other symptoms and converting it into a standard symptom name or a standard symptom group, and then transmitted to the symptom tag determination module 200 as the input data of the user.
In some embodiments, symptom tag determination module 200 is shown in fig. 3 and includes: a chief complaint symptom label determination module 210, an accompanying symptom label determination module 220, and a constitution label determination module 230; the chief complaint label determining module 210 is configured to determine a chief complaint of the user according to a result of the user's answer, and determine a chief complaint label of the user according to the chief complaint; the accompanying symptom label determining module 220 is used for determining accompanying symptoms of the user according to the chief complaint symptoms; the physique tag determination module 230 is configured to determine physique data of the user according to the answer result within the preset time, and determine the physique tag of the user according to the physique data.
Specifically, the chief complaint symptom label determination module 210 classifies the relevant symptoms of different parts of the user to obtain a plurality of chief complaint symptom labels, and the chief complaint symptom labels are directly related to the uncomfortable parts of the user and can be specific to the specific parts where the symptoms are located; meanwhile, after the chief complaint symptom label is obtained, the accompanying symptom having an intrinsic relation with the chief complaint symptom is determined by the accompanying symptom label determination module 220. The generation of the accompanying symptom label can be obtained by combining internal relations among symptoms, and usually, one main complaint symptom has a plurality of accompanying symptoms. The physique tag determination module 230 is mainly used for detecting the physique of the user, and in a specific implementation process, the process of determining the physique tag can be obtained by the way that the user answers a relevant physique questionnaire.
In some embodiments, the associated topic dynamic generation module 300 is shown in FIG. 4 and comprises: a symptom tag storage module 310, a symptom tag generation module 320 and an associated topic generation module 330; a symptom tag storage module 310, configured to store a storage table containing a correspondence between a symptom and a tag; wherein the storage table comprises a title table and an option table; the title table is used for providing titles in the associated questions; the option table is used for providing options of associated questions; a symptom tag generating module 320, configured to determine a symptom tag from the symptom tag storage module 310 according to a result of the user answering; and the associated topic generation module 330 is configured to dynamically generate an associated question from the topic table and the option table according to the symptom tag.
The health data obtained from the health information input module 100 is input to the symptom tag determination module 200 to generate a related symptom tag, and then the symptom tag is input to the associated topic dynamic generation module 300, the symptom tag generation module 320 is used to determine the symptom tag from the symptom tag storage module 310, and then the associated topic generation module 330 is used to dynamically generate an associated question from the topic table and the option table according to the symptom tag. The above process can refer to the associated topic acquisition flow chart shown in FIG. 5.
Specifically, after the symptom tag of the user is obtained, a related selection page is provided for the user to select; if the user does not perform manual selection, the symptom tag determining module selects a corresponding symptom from the option list; if the user selects the symptom, judging whether the symptom in the symptom label is a standard symptom name, and if the symptom is the standard symptom name, determining the symptom corresponding to the option according to the option table; if the symptom name is not the standard symptom name, a display field of the chief complaint is obtained according to the question table, and the ID of the question is determined according to the field. It should be noted that the topic ID is an ID of an associated topic, and a corresponding associated question can be directly obtained through the ID.
In the process of determining the symptoms corresponding to the options according to the option table, whether the symptom tag storage module has an associated topic number can be judged, and if yes, the topic ID is directly obtained; if not, making a subsequent judgment of the symptom. First, whether the symptom is a standard symptom is judged, if the symptom is the standard symptom, the symptom is taken as a chief symptom of the subject, and the number of items containing the chief symptom in the subject is judged. If the number is 1, directly obtaining the title ID; if the number is 0, the associated symptom is carried out again; if the number is more than 1, sorting according to factors such as chief complaints, collections, connection questions and the like, and determining the final topic ID after reselecting the topics.
Therefore, according to the associated topic acquisition flow chart, the associated topic dynamic generation module automatically acquires corresponding symptom tags according to the response result of the user and dynamically generates and automatically acquires associated questions through association between the symptom tags and the topics. The user can automatically generate a second associated question after answering the first question and feed the second associated question back to the user, so that the interaction degree with the user is improved, and the accuracy of health detection is improved.
In some embodiments, the health analysis module 400, as shown in fig. 6, includes: a combined parameter analysis module 410, a constitution analysis module 420 and a disease analysis module 430; a parameter combination analysis module 410, configured to determine parameter combination syndrome results according to the syndrome elements corresponding to the chief complaint symptom data; the physique analysis module 420 is used for analyzing the physique of the general symptoms, the internal organ symptoms, the head, neck, shoulder, back, waist, chest and abdomen symptoms, the four limbs, the two yin organs, the five sense organs symptoms, the skin symptoms and the allergy symptoms of the user according to the answer results of the associated questions; and the disease analysis module 430 is configured to determine disease risk data of the user according to the answer result of the associated question.
In the health analysis module 400, the joint parameter analysis module 410 can be used to obtain the health detection result of the user from the perspective of the traditional Chinese medicine syndrome; the constitution analysis module 420 can be used for obtaining the health detection result related to the constitution identification of the user from the perspective of the traditional Chinese medicine constitution; the health detection result of the user can be obtained through a relevant diagnosis formula by using a disease analysis module 430 in a mode of detecting the western medicine diseases.
Specifically, the combined reference analysis module 410 emphasizes the weight of the chief complaint, and increases the weight of the syndrome corresponding to the chief complaint; meanwhile, the method mainly screens the combined reference result by taking the syndrome corresponding to the chief complaint symptom as a main basis so as to obtain the combined reference result, thereby better improving the accuracy. The physique analysis module 420 can perform physique analysis by using the results of the traditional 60-subject national standard physique questionnaire, and can also concentrate the physique symptoms into 18 options for the user to select. If the symptom is already associated in the answering process, the last item of the constitution problem can not be repeated, so that the repeated selection is avoided. The disease analysis module 430 may form an analysis formula according to the disease analysis guideline criteria and calculate the risk of developing a disease according to the symptom compliance degree.
In some embodiments, the health detection system further comprises: a historical data module; the historical data module is used for storing the past medical history data of the user; the existing medical history data is used for being analyzed through the health analysis module, and the health detection result of the user is determined.
The historical data module can store user clinical symptom data, previous health information data, relevant examination information data and the like, and the historical data can be obtained through databases of relevant health detection mechanisms such as hospitals, clinics and rehabilitation centers.
In some embodiments, the health detection system further comprises: a login module and a registration module. The login module is used for providing login service for the user; wherein, the login service comprises: the method comprises the following steps of account password login, two-dimensional code scanning login, face brushing login and mobile phone number login for one or more login services; the registration module is used for providing registration service for the user; and the registration service is registered through the mobile phone number of the user.
When the user performs health detection, the user is required to log in for verification, so that the safety of user information can be improved, and meanwhile, the data of the user can be stored in databases of relevant health detection mechanisms such as hospitals, clinics and rehabilitation centers. If the user logs in for the first time, the user registration is completed through the registration module.
The process of registration and login needs to operate in conjunction with the internet, and in some embodiments, the health detection system further comprises: a cloud storage module; the cloud storage module is used for storing health data input by a user; also for storing a symptom tag and associated questions for the user; and is also used for storing the health detection result of the user.
According to the health detection system in the embodiment, the system can ask a user for a targeted question, can automatically generate a related question for subsequent answers according to the current answer result of the user, can introduce a chief complaint symptom, and improves the accuracy of symptom analysis and syndrome type judgment; the health condition of the user can be deeply inquired according to the internal relation among symptoms so as to fully obtain the health information of the user, improve the interactivity and relevance in the health detection process and be beneficial to improving the precision of the health detection.
Corresponding to the above method embodiment, an embodiment of the present invention provides a health detection method, which is applied to the health detection system mentioned in the above embodiment, as shown in fig. 7, and the method includes:
step S701, acquiring health data input by a user; wherein the health data is obtained by the user answering.
The health data in the step can be acquired through a health information input module in the health detection system, and can also be acquired through a historical data module.
Step S702, determining the symptom of the user according to the answer result of the user, and determining the symptom label according to the symptom.
The step is realized by a symptom label determining module, and a final symptom label can be obtained by a chief complaint symptom label determining module, an accompanying symptom label determining module and a physique label determining module.
And step S703, dynamically generating a correlation problem corresponding to the symptom label according to the symptom label.
The step is realized through a dynamic generation module of the associated questions, and the final associated problems can be obtained through a symptom tag storage module, a symptom tag determination module and an associated question generation module.
Step S704, analyzing the answer result of the associated question to determine the syndrome type analysis result of the user, and determining the health detection result of the user according to the syndrome type analysis result.
The step is realized through a health analysis module, and the health detection result of the user can be obtained through a combined parameter analysis module, a physique analysis module and a disease analysis module.
The health detection method provided by the embodiment of the invention has the same technical characteristics as the health detection system provided by the embodiment, so that the same technical problems can be solved, and the same technical effects can be achieved. For the sake of brevity, where not mentioned in the section of the embodiments, reference may be made to the corresponding matters in the embodiments of the health detection system described above.
The health detection process is described in detail below in conjunction with a flow chart of another health detection method, as shown in FIG. 8.
Firstly, a user performs a login process, firstly, whether the user logs in by using an app two-dimensional code is judged, whether the user is registered is judged in the login process, and if so, a mobile phone number is input for verification; if not, the supplementary material is registered and the related number is generated.
After the user logs in successfully, the user starts self-testing, firstly classifies symptoms related to the part, and then selects a symptom label. In the selection process, the chief complaints are selected from 2 at most, and the accompanying symptom number words are selected from 8 at most. After answering the questionnaire, the user judges whether the user has accompanying symptoms; if yes, reclassifying the symptoms related to the part; if not, answer the constitution question. It should be noted that the constitutional questions are only 1; the new user needs to answer the constitution question, the old user does not need to answer the constitution question within half a year, and the old user needs to answer the constitution question again if the old user answers the constitution question within half a year.
After the constitution answer questions are answered, whether the supplementary questions are answered or not is judged. If so, generating a report after answering the supplementary questions; if not, directly generating a health detection report.
The health detection process is completed at the user end, the detection report after the detection includes data related to the illness risk of the user, and the data can be provided for doctors as a data source for improving the physique and provide a targeted health management scheme for the user. And generating a health detection report and saving the health detection report to a related database as a health record of the user. After the doctor generates a health management scheme corresponding to the answer record in the relevant health detection report of the user. Specifically, after the health report is generated, whether a doctor is found to check the report is judged; if yes, selecting a health management scheme from the perspective of the doctor; if not, the user decides whether to check the record and judges whether the recommendation result meets the preset requirement.
In the process of selecting the health management scheme from the perspective of a doctor, after the user selects to find a doctor to check a report, the user is firstly searched and the report and an answer record are consulted, so that whether the symptom is a standard symptom is judged. If the symptom is a standard symptom, checking the historical record and judging whether the recommendation result is reasonable; if the symptom is not the standard symptom, directly judging whether the recommendation result is reasonable. If the recommendation result is reasonable, judging whether to change the health management scheme; and if the recommended result is not reasonable, the user inputs and selects the result, the health management scheme is regenerated, and whether the health management scheme is changed or not is judged. And if the user selects to change the health management scheme, determining, signing and storing after selecting the health management scheme item. And then, judging whether to check the historical records and whether the recommended result meets the preset requirement by the user, and finally obtaining the health management scheme.
According to the health detection method in the embodiment, the method can be used for asking a user for a targeted question, and can be used for automatically generating an associated question for subsequent answering according to the current answering result of the user, so that the interactivity and the relevance in the health detection process are improved, the accuracy of health detection is improved, and a targeted health management scheme can be provided.
The embodiment also provides an electronic device, a schematic structural diagram of which is shown in fig. 9, and the electronic device includes a processor 101 and a memory 102; the memory 102 is used for storing one or more computer instructions, which are executed by the processor to implement the health detection method.
The electronic device shown in fig. 9 further includes a bus 103 and a communication interface 104, and the processor 101, the communication interface 104, and the memory 102 are connected through the bus 103.
The Memory 102 may include a high-speed Random Access Memory (RAM) and may also include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. Bus 103 may be an ISA bus, PCI bus, EISA bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 9, but this does not indicate only one bus or one type of bus.
The communication interface 104 is configured to connect with at least one user terminal and other network units through a network interface, and send the packaged IPv4 message or IPv6 message to the user terminal through the network interface.
The processor 101 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 101. The Processor 101 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the device can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component. The various methods, steps, and logic blocks disclosed in the embodiments of the present disclosure may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present disclosure may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in the memory 102, and the processor 101 reads the information in the memory 102 and completes the steps of the method of the foregoing embodiment in combination with the hardware thereof.
Embodiments of the present invention further provide a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, performs the steps of the method of the foregoing embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus, and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solution of the present invention or a part thereof, which essentially contributes to the prior art, can be embodied in the form of a software product stored in a storage medium and including 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: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A health detection system, characterized in that the system comprises: the system comprises a health information input module, a symptom tag determining module, an associated topic dynamic generating module and a health analysis module;
the health information input module is used for acquiring health data input by a user; wherein the health data is obtained by answering questions of the user;
the symptom label determining module is used for determining the symptom of the user according to the answer result of the user and determining a symptom label according to the symptom;
the associated question dynamic generation module is used for dynamically generating an associated question corresponding to the symptom label according to the symptom label;
and the health analysis module is used for analyzing the answer result of the associated question to determine the syndrome type analysis result of the user and determining the health detection result of the user according to the syndrome type analysis result.
2. The health detection system of claim 1, wherein the health information input module comprises: a chief complaint module, an associated symptom module, and other symptom modules;
the chief complaint module is used for acquiring chief complaint symptom data input by a user;
the other symptom module is used for acquiring other symptom data input by a user; wherein the other symptom data is different from the chief complaint symptom data;
and the associated symptom module is used for associating the other symptom data to obtain the symptom data corresponding to the other symptom data.
3. The health detection system of claim 1, wherein the symptom tag determination module comprises: the system comprises a chief complaint symptom label determining module, an accompanying symptom label determining module and a physique label determining module;
the chief complaint symptom label determining module is used for determining the chief complaint symptoms of the user according to the user answering result and determining the chief complaint symptom labels of the user according to the chief complaint symptoms;
the accompanying symptom label determining module is used for determining accompanying symptoms of the user according to the chief complaint symptoms;
the physique tag determining module is used for determining physique data of the user according to the answer result in preset time and determining the physique tag of the user according to the physique data.
4. The health detection system of claim 1, wherein the associated topic dynamic generation module comprises: the system comprises a symptom tag storage module, a symptom tag generation module and an associated topic generation module;
the symptom tag storage module is used for storing a storage table containing the corresponding relation between the symptom and the tag; wherein the storage table comprises a title table and an option table; the question table is used for providing questions in the associated questions; the option table is used for providing options of the associated questions;
the symptom tag generating module is used for determining the symptom tag from the symptom tag storage module according to the answer result of the user;
and the associated question generation module is used for dynamically generating the associated question from the question table and the option table according to the symptom label.
5. The health detection system of claim 2, wherein the health analysis module comprises: a combined parameter analysis module, a constitution analysis module and a disease analysis module;
the combined parameter analysis module is used for determining the combined parameter syndrome result according to the syndrome corresponding to the chief complaint symptom data;
the physique analysis module is used for analyzing the physique of the general symptoms, the internal organ symptoms, the head, neck, shoulder, back, waist, chest and abdomen symptoms, the four limbs, the two yin and the five sense organs symptoms, the skin symptoms and the allergy symptoms of the user according to the answer results of the associated questions;
and the disease analysis module is used for determining the disease risk data of the user according to the answer result of the associated question.
6. The health detection system as in claim 1, further comprising: a historical data module;
the historical data module is used for storing the prior medical history data of the user; the past medical history data is used for being analyzed through the health analysis module, and the health detection result of the user is determined.
7. The health detection system as in claim 1, further comprising: a login module and a registration module;
the login module is used for providing login service for the user; wherein the login service comprises: the method comprises the following steps of account password login, two-dimensional code scanning login, face brushing login and mobile phone number login for one or more login services;
the registration module is used for providing registration service for the user; and registering in the registration service through the mobile phone number of the user.
8. The health detection system as in claim 1, further comprising: a cloud storage module; the cloud storage module is used for storing the health data input by the user; further for storing the symptom label and the associated question of the user; and the health detection result of the user is stored.
9. A health detection method, which is applied to the health detection system according to any one of claims 1 to 8, the method comprising:
acquiring health data input by a user; wherein the health data is obtained by answering questions of the user;
determining the symptom of the user according to the answer result of the user, and determining a symptom label according to the symptom;
dynamically generating an associated problem corresponding to the symptom label according to the symptom label;
and analyzing the answer result of the associated question to determine the syndrome type analysis result of the user, and determining the health detection result of the user according to the syndrome type analysis result.
10. An electronic device, comprising: a processor and a storage device; the storage means has stored thereon a computer program which, when being executed by the processor, carries out the steps of the health detection method as claimed in claim 9.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107622796A (en) * | 2017-09-07 | 2018-01-23 | 广州九九加健康管理有限公司 | Skin disease based on health control platform is assessed and remote medical consultation with specialists method and system |
| CN108538387A (en) * | 2018-03-02 | 2018-09-14 | 北京广健君安健康管理有限公司 | One kind five controls five foster therapeutic apparatus for treating tumor |
| CN108877928A (en) * | 2018-05-31 | 2018-11-23 | 平安医疗科技有限公司 | Patient information acquisition method, device, computer equipment and storage medium |
| CN109497946A (en) * | 2018-11-14 | 2019-03-22 | 山东师范大学 | A kind of rhinitis parting decision-making system |
| CN110634570A (en) * | 2018-06-22 | 2019-12-31 | 北京搜狗科技发展有限公司 | Diagnostic simulation method and related device |
-
2021
- 2021-06-28 CN CN202110716193.0A patent/CN113257423A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107622796A (en) * | 2017-09-07 | 2018-01-23 | 广州九九加健康管理有限公司 | Skin disease based on health control platform is assessed and remote medical consultation with specialists method and system |
| CN108538387A (en) * | 2018-03-02 | 2018-09-14 | 北京广健君安健康管理有限公司 | One kind five controls five foster therapeutic apparatus for treating tumor |
| CN108877928A (en) * | 2018-05-31 | 2018-11-23 | 平安医疗科技有限公司 | Patient information acquisition method, device, computer equipment and storage medium |
| CN110634570A (en) * | 2018-06-22 | 2019-12-31 | 北京搜狗科技发展有限公司 | Diagnostic simulation method and related device |
| CN109497946A (en) * | 2018-11-14 | 2019-03-22 | 山东师范大学 | A kind of rhinitis parting decision-making system |
Non-Patent Citations (1)
| Title |
|---|
| 王蕾: "面向医疗健康领域的智能问答系统的设计与实现", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
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