CN113160972A - Symptom group management personalized recommendation platform based on 'internet +' technology - Google Patents
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Abstract
The invention provides a symptom group management personalized recommendation platform based on the internet +' technology, which comprises a plurality of terminal devices connected through internet communication links. And the plurality of terminal devices form a common data sharing node of the personalized recommendation platform through an internet communication chain. The personalized recommendation platform further comprises a broadcasting node and a consensus node; the broadcasting node is used for receiving a first request of second terminal equipment for joining the personalized recommendation platform outside the preset time period and sending the first request to the common data sharing node and the creation node in the personalized recommendation platform; and the consensus node judges whether to form the second terminal equipment into the common data sharing node of the personalized recommendation platform or not based on the feedback of the common data sharing node and/or the creation node to the first request. The technical scheme of the invention can realize high-quality symptom group data collection and sharing, thereby obtaining effective personalized recommendation and feedback.
Description
Technical Field
The invention belongs to the technical field of intelligent diagnosis, and particularly relates to a symptom group management personalized recommendation platform based on an internet +' technology.
Background
In recent years, the continuous application and development of big data in the field of medical health provide high-quality and convenient services for the masses, and also bring power to the scientific and technological development in the field of medical health. The health medical treatment big data brings new opportunities, and a plurality of wearable devices named as 'data collection' are also promoted, such as intelligent bracelets, intelligent watches, intelligent glasses, intelligent clothes and the like, so that the health medical treatment big data are all the time. The wearable devices are not only hardware devices, but also can realize powerful functions through software support, data interaction and cloud interaction.
The ideal health medical big data is that the wearable equipment or other terminals continuously collect human health data, then automatically transmit the data to the cloud for data analysis and processing, the cloud database periodically transmits results to professionals, and the professional gives diagnosis or rehabilitation suggestions. Due to the mode, people can obtain the medical health management service without going out of home, so that the cost of people, property, things and the like of the medical service is really reduced.
With the development of the internet, especially the mobile internet, the health sharing concept becomes popular, and the most important embodiment is the popularization and the promotion of various health APP. Healthy APPs include:
1. through your exercise, you need exercise-assisted APPs, including joy-ring, gurgling, large medial house steward, and the like.
2. After the disease, guiding oneself to obtain health through some functions of APP, you need some disease diagnosis, doctors give treatment advice App, spring rain doctors, clove doctors, etc.
3. Through the warning of APP's lifestyle, supplementary oneself forms good lifestyle, such life class APP, the APP that all kinds of lives were reminded, simultaneously big house steward also has the function that corresponding life was reminded.
In the patent literature, the chinese patent publication CN107390616A discloses a national medical fitness combination system and a control method, including a collection device, a background server and a client, where ID numbers are obtained through registration information, so as to associate fitness devices, prompt scientific fitness modes according to the input personal information, collect personal fitness data and physical function parameters, generate individual fitness schemes by analyzing physiological indexes in real time, and adjust fitness load through automatic control of the fitness devices, so as to achieve visualization of fitness effects and datamation of fitness guidance, and a video display module and a voice module are provided, so that music listening, video watching and game playing can be associated during exercise, and 3D or VR display can be provided, so as to improve user interest, increase entertainment, and prompt automatically, the workload of workers is reduced, and the management is more intelligent.
In a word, by using advanced technologies such as cloud computing, big data and artificial intelligence, new health management modes are continuously appeared, and professional personalized health management services can be provided for users. The applications are based on big data analysis and sharing concepts, can accurately record the running and riding route time of the user and analyze the exercise data, and also provide fitness advice and diagnosis results for rich specialties of the user through exercise encyclopedias, people-arriving communities, various training courses and plans.
However, most of the schemes mentioned in the prior art are open health data sharing modes, so that the quality of shared data is not high; meanwhile, the prior art analyzes the individual requirements, the symptom groups cannot be summarized and shared, and the received feedback conclusion is almost uniform aiming at the personalized health request; meanwhile, the shared community or the shared mode cannot guarantee the data quality, and the attraction of the shared mode to the user is adversely affected.
Disclosure of Invention
In order to solve the technical problem, the invention provides a symptom group management personalized recommendation platform based on the internet +' technology, which comprises a plurality of terminal devices connected through internet communication links. And the plurality of terminal devices form a common data sharing node of the personalized recommendation platform through an internet communication chain. The personalized recommendation platform further comprises a broadcasting node and a consensus node; the broadcasting node is used for receiving a first request of second terminal equipment for joining the personalized recommendation platform outside the preset time period and sending the first request to the common data sharing node and the creation node in the personalized recommendation platform; and the consensus node judges whether to form the second terminal equipment into the common data sharing node of the personalized recommendation platform or not based on the feedback of the common data sharing node and/or the creation node to the first request.
The personalized recommendation platform comprises a plurality of data nodes, including a broadcast node, a common identification node, an creation node and a common data sharing node, wherein in a specific form, the nodes are distributed data nodes, and the creation node and the common data sharing node can be nodes formed by terminal equipment. In the present invention, the data nodes (creature nodes, common data sharing nodes), the user, and the terminal device have the same meaning in most cases, for example, a certain terminal device may be referred to as a node in the personalized recommendation platform, or a terminal device may be referred to as a node of the personalized recommendation platform.
The consensus nodes and the broadcast nodes are communicated with all the nodes (creation nodes and common data sharing nodes), the consensus nodes realize consensus result feedback based on an intelligent contract, and the broadcast nodes execute consensus broadcast of each node.
Based on the above, the personalized recommendation platform comprises a creation node and an intelligent contract;
the intelligent contract defines conditions of terminal equipment becoming the creation node, and a first terminal equipment receiving the intelligent contract can become the creation node of the personalized recommendation platform within a preset time period;
the broadcasting node is used for receiving a first request of a second terminal device for joining the personalized recommendation platform outside the preset time period and sending the first request to the common data sharing node and the creation node in the personalized recommendation platform;
and the common identification node judges whether to form the second terminal equipment into the common data sharing node of the personalized recommendation platform or not based on the feedback of the common data sharing node and/or the creation node to the first request.
Based on the above, the plurality of terminal devices form a common data sharing node of the personalized recommendation platform through the internet communication chain.
As a more general example, the terminal devices include a mobile terminal and a desktop terminal.
In the present invention, the first request for the second terminal device to join the personalized recommendation platform includes the following contents:
the type of the second terminal device, first symptom data submitted by a user corresponding to the second terminal device, and first diagnosis data.
More preferably, if the second terminal device is a mobile terminal, the method for adding the second terminal device to the first request of the personalized recommendation platform further includes, on the basis of the above contents:
the size of the first subinterval and the second subinterval.
And the first subinterval and the second subinterval are both storage spaces with variable sizes.
If the second terminal device is a mobile terminal, after the mobile terminal sends the first request, the mobile terminal allocates a first storage space with a predetermined size, where the first storage space with the predetermined size is composed of the first subinterval and the second subinterval.
The first symptom data is stored in the first subinterval, and the first diagnostic data is stored in the second subinterval.
A terminal device user corresponding to each common data sharing node of the personalized recommendation platform obtains a personalized recommendation result by sending a second request to the personalized recommendation platform;
the second request is different from the first request, the second request including second symptom data.
And uploading the data stored in the storage space of the mobile terminal device user corresponding to each common data sharing node of the personalized recommendation platform to the personalized recommendation platform before sending the second request to the personalized recommendation platform.
Meanwhile, after the mobile terminal device user corresponding to each common data sharing node of the personalized recommendation platform sends a second request to the personalized recommendation platform, the storage space of the user is updated based on the personalized recommendation result.
The technical scheme of the invention can realize high-quality symptom group data collection and sharing, thereby obtaining effective personalized recommendation and feedback.
Further advantages of the invention will be apparent in the detailed description section in conjunction with the drawings attached hereto.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is an overall architecture diagram of a symptom group management personalized recommendation platform based on the Internet +' technology according to an embodiment of the invention
FIG. 2 is a schematic diagram of a raw data node structure of the personalized recommendation platform shown in FIG. 1
FIG. 3 is a schematic diagram of a newly added data node of the personalized recommendation platform shown in FIG. 1
FIG. 4 is a schematic diagram of a determination condition of the newly added data node of the personalized recommendation platform shown in FIG. 1
FIG. 5 is a schematic diagram of a determination condition of a newly added mobile terminal data node of the personalized recommendation platform shown in FIG. 1
Detailed Description
The invention is further described with reference to the following drawings and detailed description.
Referring to fig. 1, the overall architecture diagram of a symptom group management personalized recommendation platform based on the internet +' technology according to an embodiment of the present invention is shown.
In fig. 1, the personalized recommendation platform includes a plurality of terminal devices connected through an internet communication link, where the terminal devices include a mobile terminal and a desktop terminal.
The plurality of terminal devices form a common data sharing node of the personalized recommendation platform through the Internet communication chain;
the personalized recommendation platform further comprises creation nodes, intelligent contracts, broadcasting nodes and consensus nodes.
Further, see fig. 2.
The intelligent contract defines conditions for the terminal device to become the creation node, and the first terminal device receiving the intelligent contract within a preset time period can become the creation node of the personalized recommendation platform.
The broadcasting node is used for receiving a first request of a second terminal device for joining the personalized recommendation platform outside the preset time period and sending the first request to the common data sharing node and the creation node in the personalized recommendation platform;
and the common identification node judges whether to form the second terminal equipment into the common data sharing node of the personalized recommendation platform or not based on the feedback of the common data sharing node and/or the creation node to the first request.
More specifically, referring to fig. 3, the first request for the second terminal device to join the personalized recommendation platform includes the following:
the type of the second terminal device, first symptom data submitted by a user corresponding to the second terminal device, and first diagnosis data.
The first request is firstly sent to each created node of the personalized recommendation platform, and if the created nodes respond, whether the second terminal equipment forms a common data sharing node of the personalized recommendation platform is judged based on a feedback result of the created nodes.
Preferably, if the created nodes exceeding a first proportion agree with the first request, the second terminal device constitutes a common data sharing node of the personalized recommendation platform.
As a more specific example, in an early construction stage of the personalized recommendation platform, only one founding node is required to agree with the first request, and then the second terminal device is configured as a common data sharing node of the personalized recommendation platform;
and when the common data sharing node of the personalized recommendation platform reaches a certain scale, the first ratio may be set, for example, 50%.
And if no response exists in the created nodes, sending the request to other common data sharing nodes of the personalized recommendation platform for judgment.
Specifically, the consensus node determines whether to configure the second terminal device as the common data sharing node of the personalized recommendation platform based on the feedback of the common data sharing node to the first request.
Referring to fig. 4, as a situation, if the third request sent by the terminal device corresponding to all the common data sharing nodes when requesting to join the personalized recommendation platform is different from the first request, the second terminal device is configured as the common data sharing node of the personalized recommendation platform.
As another situation, if a third request sent by the terminal device corresponding to the third common data sharing node when requesting to join the personalized recommendation platform is the same as the first request, determining whether the type of the terminal device corresponding to the third common data sharing node is the same as the second terminal device;
and if the two terminal devices are different, the second terminal device forms a common data sharing node of the personalized recommendation platform.
With the development of the mobile internet, the mobile terminal gradually replaces the desktop to be the new trend of data interaction.
As a further improvement, the present embodiment therefore gives a more adaptive condition solely for the first request of the mobile terminal device.
In particular, see fig. 5.
If the second terminal device is a mobile terminal, the second terminal device joins the first request of the personalized recommendation platform, including:
the first subinterval size, the second subinterval size, and the first symptom data and the first diagnostic data submitted by the user.
And the first subinterval and the second subinterval are both storage spaces with variable sizes.
More specifically, if the second terminal device is a mobile terminal, after the mobile terminal sends the first request, the mobile terminal allocates a first storage space of a predetermined size, where the first storage space of the predetermined size is composed of the first subinterval and the second subinterval.
The first symptom data is stored in the first subinterval, and the first diagnostic data is stored in the second subinterval.
At this time, the determining, by the consensus node, whether to configure the second terminal device as the common data sharing node of the personalized recommendation platform based on the feedback of the common data sharing node to the first request specifically includes:
if a third request sent by a third mobile terminal corresponding to a third common data sharing node when the third mobile terminal requests to join the personalized recommendation platform is the same as the first request, acquiring the sizes of a first subinterval and a second subinterval of the third mobile terminal;
and judging whether the second terminal equipment forms a common data sharing node of the personalized recommendation platform or not based on the sizes of the first subinterval and the second subinterval of the third mobile terminal and the sizes of the first subinterval and the second subinterval of the second terminal equipment.
Based on the sizes of the first subinterval and the second subinterval of the third mobile terminal and the sizes of the first subinterval and the second subinterval of the second terminal device, determining whether to configure the second terminal device as a common data sharing node of the personalized recommendation platform specifically includes:
calculating a first ratio of the first sub-interval size and a second sub-interval size of the third mobile terminal;
calculating a second ratio of the first subinterval size to a second subinterval size of the second terminal device;
and if the difference value of the first ratio and the second ratio is in a preset range, the second terminal equipment forms a common data sharing node of the personalized recommendation platform.
And uploading the data stored in the storage space of the mobile terminal equipment user corresponding to each common data sharing node of the personalized recommendation platform to the personalized recommendation platform before sending a second request to the personalized recommendation platform.
And after the mobile terminal equipment user corresponding to each common data sharing node of the personalized recommendation platform sends a second request to the personalized recommendation platform, updating the storage space of the personalized recommendation platform based on the personalized recommendation result.
Specifically, the size of the second sub-interval is updated based on the obtained personalized recommendation result.
Due to the limited memory space of the mobile terminal, the manner of adding and verifying the mobile terminal can enable the data (the first symptom data and the first diagnosis data) submitted by the mobile terminal user to be more real, and the obviously unreal data cannot pass the verification.
Therefore, the invention can also preferably provide a symptom group mobile personalized recommendation platform based on the mobile internet technology, wherein the personalized recommendation platform is composed of a plurality of mobile terminals connected through a mobile internet communication link.
The mobile terminals form a common data sharing node of the personalized recommendation platform through the mobile internet communication chain;
the personalized recommendation platform further comprises a creation node and an intelligent contract;
the intelligent contract defines conditions of the mobile terminal becoming the creation node, and a first mobile terminal receiving the intelligent contract within a preset time period can become the creation node of the personalized recommendation platform;
the personalized recommendation platform further comprises a broadcasting node and a consensus node;
the broadcasting node is used for receiving a first request of a second mobile terminal for joining the personalized recommendation platform outside the preset time period and sending the first request to the common data sharing node and the creation node in the personalized recommendation platform;
the common identification node judges whether the second terminal equipment forms a common data sharing node of the personalized recommendation platform or not based on the feedback of the common data sharing node and/or the creation node to the first request;
and when the second mobile terminal generates a first request for joining the personalized recommendation platform, the mobile terminal allocates a first storage space with a preset size, wherein the first storage space with the preset size consists of the first subinterval and the second subinterval.
The first request comprises first symptom data and first diagnosis data submitted by a second mobile terminal, a first subinterval size and a second subinterval size;
and the second mobile terminal stores the first symptom data in the first subinterval and stores the first diagnosis data in the second subinterval.
As an example, in the above-described embodiment, the first symptom data is data on the disorder itself, including the disorder name, physiological characteristic parameters, and the like; the first diagnosis data is treatment scheme data given by aiming at the first symptom data after the first diagnosis data is diagnosed by an authority, and the treatment scheme data comprises data of medicines, operations, treatment effects and the like. The mobile terminal may be a mobile phone, a wearable device, etc., in which a combination of sensors, including physiological data sensors and motion sensors, etc., are configured.
Therefore, the invention can pertinently integrate the user terminals (users) into an effective personalized recommendation platform, so that each node in the personalized recommendation platform has value contribution and forms a symptom group sharing ring; and based on effective contribution, a request can be further provided to obtain feedback, the occurrence of disorder and invalidation phenomena of a completely open source shared data circle in the prior art is avoided, and therefore high efficiency and high accuracy of personalized recommendation and diagnosis feedback of symptom groups can be achieved.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. A symptom group management personalized recommendation platform based on the 'Internet +' technology comprises a plurality of terminal devices connected through an Internet communication link, wherein each terminal device comprises a mobile terminal and a desktop terminal;
the method is characterized in that:
the plurality of terminal devices form a common data sharing node of the personalized recommendation platform through the Internet communication chain;
the personalized recommendation platform further comprises a creation node and an intelligent contract;
the intelligent contract defines conditions of terminal equipment becoming the creation node, and a first terminal equipment receiving the intelligent contract can become the creation node of the personalized recommendation platform within a preset time period;
the personalized recommendation platform further comprises a broadcasting node and a consensus node;
the broadcasting node is used for receiving a first request of a second terminal device for joining the personalized recommendation platform outside the preset time period and sending the first request to the common data sharing node and the creation node in the personalized recommendation platform;
and the common identification node judges whether to form the second terminal equipment into the common data sharing node of the personalized recommendation platform or not based on the feedback of the common data sharing node and/or the creation node to the first request.
2. The internet +' technology-based symptom cluster management personalized recommendation platform of claim 1, wherein:
the first request for the second terminal device to join the personalized recommendation platform comprises the following contents:
the type of the second terminal device, first symptom data submitted by a user corresponding to the second terminal device, and first diagnosis data.
3. The internet +' technology-based symptom cluster management personalized recommendation platform of claim 1, wherein:
a terminal device user corresponding to each common data sharing node of the personalized recommendation platform obtains a personalized recommendation result by sending a second request to the personalized recommendation platform;
the second request is different from the first request, the second request including second symptom data.
4. The internet +' technology-based symptom cluster management personalized recommendation platform of claim 1, wherein:
the consensus node determines whether to form the second terminal device as a common data sharing node of the personalized recommendation platform based on the feedback of the creating node on the first request, and specifically includes:
and if the created nodes exceeding the first proportion agree with the first request, the second terminal equipment forms a common data sharing node of the personalized recommendation platform.
5. The internet +' technology-based symptom cluster management personalized recommendation platform of claim 1, wherein:
the determining, by the consensus node, whether to configure the second terminal device as the common data sharing node of the personalized recommendation platform based on the feedback of the common data sharing node to the first request specifically includes:
and if the third request sent by the terminal equipment corresponding to all the common data sharing nodes when the terminal equipment requests to join the personalized recommendation platform is different from the first request, the second terminal equipment is formed into the common data sharing nodes of the personalized recommendation platform.
6. The personalized recommendation platform for symptom cluster management based on the internet +' technology of claim 1 or 5, wherein:
the determining, by the consensus node, whether to configure the second terminal device as the common data sharing node of the personalized recommendation platform based on the feedback of the common data sharing node to the first request specifically includes:
if a third request sent by the terminal device corresponding to a third common data sharing node when the terminal device requests to join the personalized recommendation platform is the same as the first request, judging whether the type of the terminal device corresponding to the third common data sharing node is the same as that of the second terminal device;
and if the two terminal devices are different, the second terminal device forms a common data sharing node of the personalized recommendation platform.
7. The internet +' technology-based symptom cluster management personalized recommendation platform of claim 2, wherein:
each mobile terminal is provided with a storage space with a preset size, and the storage space is divided into a first subinterval and a second subinterval;
if the second terminal equipment is a mobile terminal, storing the first symptom data in the first subinterval, and storing the first diagnosis data in a second subinterval;
the determining, by the consensus node, whether to configure the second terminal device as the common data sharing node of the personalized recommendation platform based on the feedback of the common data sharing node to the first request specifically includes:
if a third request sent by a third mobile terminal corresponding to a third common data sharing node when the third mobile terminal requests to join the personalized recommendation platform is the same as the first request, acquiring the sizes of a first subinterval and a second subinterval of the third mobile terminal;
and judging whether the second terminal equipment forms a common data sharing node of the personalized recommendation platform or not based on the sizes of the first subinterval and the second subinterval of the third mobile terminal and the sizes of the first subinterval and the second subinterval of the second terminal equipment.
8. The internet +' technology-based symptom cluster management personalized recommendation platform of claim 7, wherein:
based on the sizes of the first subinterval and the second subinterval of the third mobile terminal and the sizes of the first subinterval and the second subinterval of the second terminal device, determining whether to configure the second terminal device as a common data sharing node of the personalized recommendation platform specifically includes:
calculating a first ratio of the first sub-interval size and a second sub-interval size of the third mobile terminal;
calculating a second ratio of the first subinterval size to a second subinterval size of the second terminal device;
and if the difference value of the first ratio and the second ratio is in a preset range, the second terminal equipment forms a common data sharing node of the personalized recommendation platform.
9. The internet +' technology-based symptom cluster management personalized recommendation platform of claim 3, wherein:
and uploading the data stored in the storage space of the mobile terminal equipment user corresponding to each common data sharing node of the personalized recommendation platform to the personalized recommendation platform before sending a second request to the personalized recommendation platform.
10. The internet +' technology-based symptom cluster management personalized recommendation platform of claim 3, wherein:
and after the mobile terminal equipment user corresponding to each common data sharing node of the personalized recommendation platform sends a second request to the personalized recommendation platform, updating the storage space of the personalized recommendation platform based on the personalized recommendation result.
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| CN113160972B (en) | 2023-03-24 |
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