CN108538364B - Disease reminding method and device based on catering information - Google Patents

Disease reminding method and device based on catering information Download PDF

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CN108538364B
CN108538364B CN201810322031.7A CN201810322031A CN108538364B CN 108538364 B CN108538364 B CN 108538364B CN 201810322031 A CN201810322031 A CN 201810322031A CN 108538364 B CN108538364 B CN 108538364B
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disease
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dining
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CN108538364A (en
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李江
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Koubei Shanghai Information Technology Co Ltd
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Koubei Shanghai Information Technology Co Ltd
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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/60—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets

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Abstract

The invention discloses a disease reminding method and device based on catering information, and relates to the field of electronic information, wherein the method comprises the following steps: acquiring a disease type contained in disease infection information corresponding to a dining user and a dining transaction record of the dining user; determining a time difference between the information generation time of the disease infection information and the record generation time of the food and drink transaction record; determining a relevancy score between the catering information contained in the catering transaction record and the disease type contained in the disease infection information according to the time difference; and determining the catering information which has relevance with the disease type contained in the disease infection information according to the relevance score, and generating a disease reminding message according to the catering information which has relevance. The invention provides a method for generating the disease reminding information according to the catering transaction data and the disease infection data of the user in consideration of the correlation between the dining condition of the dining user and the disease information, so that the disease reminding information is more detailed and accurate.

Description

Disease reminding method and device based on catering information
Technical Field
The invention relates to the field of electronic information, in particular to a disease reminding method and device based on catering information.
Background
At present, disease early warning information is generally sent by a hospital, for example, when the number of cases occurring in an observation period reaches an early warning threshold, the disease early warning information is sent by means of news broadcasting, pasting announcement, short message reminding and the like, and reference information can be provided for a user to prevent diseases. For example, the user can make a healthy diet plan according to the food contraindication information in the disease early warning information to prevent diseases from entering the mouth.
However, in the process of implementing the present invention, the inventors found that at least the following problems exist in the prior art: the food contraindication information in the disease early warning information is the conventional food information determined according to medical books, medical common knowledge or the subjective experience of doctors, but nowadays, the daily diet of people is selected quite a lot, the diet habits of people are different, the factors which can cause diseases in food are quite complex, and the disease early warning information determined according to the prior art is not detailed enough and lacks pertinence. It can be seen that there is a lack in the art of a method that can solve the above problems well.
Disclosure of Invention
In view of the above, the present invention is proposed to provide a method and apparatus for meal information based disease reminder that overcomes or at least partially solves the above-mentioned problems.
According to one aspect of the invention, a disease reminding method based on catering information is provided, which comprises the following steps: acquiring a disease type contained in disease infection information corresponding to a dining user and a dining transaction record of the dining user; determining a time difference between the information generation time of the disease infection information and the record generation time of the food and drink transaction record; determining a relevancy score between the catering information contained in the catering transaction record and the disease type contained in the disease infection information according to the time difference; and determining the catering information which has relevance with the disease type contained in the disease infection information according to the relevance score, and generating a disease reminding message according to the catering information which has relevance.
Optionally, if the number of the dining users is multiple, the step of obtaining the disease types included in the disease infection information corresponding to the dining users and the dining transaction records of the dining users specifically includes: respectively acquiring the disease type contained in the disease infection information corresponding to each dining user and each dining transaction record of the dining user in a preset time period;
determining a time difference between the information generation time of the disease infection information and the record generation time of the food and drink transaction record; the step of determining the relevancy score between the dining information contained in the dining transaction record and the disease type contained in the disease infection information according to the time difference specifically comprises the following steps:
respectively determining the time difference between the information generation time of the disease infection information corresponding to each dining user and the record generation time of each dining transaction record aiming at each dining transaction record of each dining user in a preset time period;
and determining a relevancy score between the dining information contained in the dining transaction record and the disease type contained in the disease infection information corresponding to the dining user according to the time difference between the information generation time of the disease infection information corresponding to the dining user and the record generation time of the dining transaction record.
Optionally, the relevancy score is inversely proportional to the time difference.
Optionally, the step of determining the dining information related to the disease type included in the disease infection information according to the relevancy score specifically includes:
presetting the relevancy scores between the catering information contained in each catering transaction record and the disease types contained in the disease infection information;
and determining the association score between each food and drink information and the disease type contained in the disease infection information according to the processing result, and determining the food and drink information with the association score larger than a preset threshold as the food and drink information which has relevance to the disease type contained in the disease infection information.
Optionally, performing preset processing on a relevancy score between the dining information contained in each dining transaction record and the disease type contained in the disease infection information; the step of determining the association score between each food and drink information and the disease type contained in the disease infection information according to the processing result specifically includes:
inquiring each catering transaction record containing the catering information aiming at each disease type contained in the disease infection information and each catering information corresponding to the disease type;
and performing preset operation on each relevancy score corresponding to each inquired catering transaction record containing the catering information, and determining the association score between the catering information and the disease type according to the operation result.
Optionally, after the step of querying each dining transaction record containing the dining information for each disease type contained in the disease infection information and each dining information corresponding to the disease type, the method further includes:
judging whether the number of the inquired catering transaction records containing the catering information is greater than a preset filtering threshold value or not;
and if so, executing a step of performing preset operation on each relevancy score corresponding to each inquired catering transaction record containing the catering information.
Optionally, after the step of obtaining the disease type included in the disease infection information corresponding to the dining user, the method further includes:
when the acquired disease types contained in the disease infection information corresponding to the dining user are multiple, respectively acquiring the number of the disease infection information corresponding to each disease type;
determining at least one disease type as a preset reminding type according to the quantity of the disease infection information corresponding to each disease type;
the step of generating the disease reminding message according to the related catering information specifically comprises the following steps:
and generating a disease reminding message according to the catering information which has correlation with the preset reminding type.
Optionally, the disease reminding message is a reminding message sent for a disease type, and/or the disease reminding message is a reminding message sent for catering information.
Optionally, the dining information comprises: meal information and/or store information.
Optionally, the step of obtaining the disease infection information corresponding to the dining user specifically includes:
and receiving disease comment messages sent by the user terminal through the restaurant comment entrance, and acquiring disease infection information according to the disease comment messages.
According to another aspect of the present invention, there is provided a disease reminding device based on catering information, comprising: the acquisition module is suitable for acquiring the disease types contained in the disease infection information corresponding to the dining users and the dining transaction records of the dining users; the time difference determining module is suitable for determining the time difference between the information generation time of the disease infection information and the record generation time of the catering transaction record; the relevancy score determining module is suitable for determining relevancy scores between the catering information contained in the catering transaction records and the disease types contained in the disease infection information according to the time difference; the catering information determination module is suitable for determining catering information which has relevance with the disease type contained in the disease infection information according to the relevance score; and the disease reminding message generating module is suitable for generating a disease reminding message according to the related catering information.
Optionally, the number of dining users is multiple, and the obtaining module is further adapted to: respectively acquiring the disease type contained in the disease infection information corresponding to each dining user and each dining transaction record of the dining user in a preset time period;
the time difference determination module is further adapted to: respectively determining the time difference between the information generation time of the disease infection information corresponding to each dining user and the record generation time of each dining transaction record aiming at each dining transaction record of each dining user in a preset time period;
the relevancy score determination module is further adapted to: and determining a relevancy score between the dining information contained in the dining transaction record and the disease type contained in the disease infection information corresponding to the dining user according to the time difference between the information generation time of the disease infection information corresponding to the dining user and the record generation time of the dining transaction record.
Optionally, the relevancy score is inversely proportional to the time difference.
Optionally, the dining information determining module is further adapted to:
presetting the relevancy scores between the catering information contained in each catering transaction record and the disease types contained in the disease infection information;
determining a correlation score between each food and drink information and a disease type contained in the disease infection information according to the processing result;
and determining the catering information with the association score larger than a preset threshold value as the catering information which has relevance to the disease type contained in the disease infection information.
Optionally, the dining information determining module is further adapted to:
inquiring each catering transaction record containing the catering information aiming at each disease type contained in the disease infection information and each catering information corresponding to the disease type;
and performing preset operation on each relevancy score corresponding to each inquired catering transaction record containing the catering information, and determining the association score between the catering information and the disease type according to the operation result.
Optionally, the apparatus further comprises:
the judging module is suitable for judging whether the number of the inquired catering transaction records containing the catering information is greater than a preset filtering threshold value or not;
the catering information determination module is further adapted to: and if so, executing a step of performing preset operation on each relevancy score corresponding to each inquired catering transaction record containing the catering information.
Optionally, the obtaining module is further adapted to: when the acquired disease types contained in the disease infection information corresponding to the dining user are multiple, respectively acquiring the number of the disease infection information corresponding to each disease type;
the disease alert message generation module is further adapted to: determining at least one disease type as a preset reminding type according to the quantity of the disease infection information corresponding to each disease type;
the disease reminder message generating module is further adapted to: and generating a disease reminding message according to the catering information which has correlation with the preset reminding type.
Optionally, the disease reminding message is a reminding message sent for a disease type, and/or the disease reminding message is a reminding message sent for catering information.
Optionally, the dining information comprises: meal information and/or store information.
Optionally, the obtaining module is further adapted to:
and receiving disease comment messages sent by the user terminal through the restaurant comment entrance, and acquiring disease infection information according to the disease comment messages.
According to still another aspect of the present invention, there is provided an electronic apparatus including: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction enables the processor to execute the operation corresponding to the food and beverage information-based disease reminding method.
According to another aspect of the present invention, there is provided a computer storage medium, in which at least one executable instruction is stored, and the executable instruction causes a processor to perform operations corresponding to the food and beverage information-based disease reminding method.
In summary, in the method and the device for reminding the disease based on the dining information, the disease type included in the disease infection information corresponding to the dining user and the dining transaction record of the dining user are firstly obtained; then, determining the time difference between the information generation time of the disease infection information and the record generation time of the catering transaction record; then, determining a relevancy score between the catering information contained in the catering transaction record and the disease type contained in the disease infection information according to the time difference; and finally, determining the catering information which has relevance with the disease type contained in the disease infection information according to the relevance score, and generating a disease reminding message according to the catering information which has relevance. The method considers that the dining condition of the dining user is correlated with the disease information, so that a method for generating the disease reminding information according to the dining transaction data and the disease infection data of the user is provided, the disease reminding information is more accurate and more detailed, the user can refer to the disease reminding information when ordering, and the method can provide humanistic care for the user from the aspect of daily diet, and further improve the user experience.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
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Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 shows a flowchart of a disease reminding method based on catering information according to an embodiment of the invention;
fig. 2 shows a flowchart of a disease reminding method based on catering information according to a second embodiment of the invention;
FIG. 3 is a schematic diagram illustrating dining transaction record information and disease infection information of a dining user according to a second embodiment of the present invention;
fig. 4 shows a structural diagram of a disease reminding device based on catering information according to a third embodiment of the invention;
fig. 5 shows a schematic structural diagram of an electronic device according to a fifth embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
Example one
Fig. 1 shows a flowchart of a disease reminding method based on catering information according to an embodiment of the invention. As shown in fig. 1, the method includes:
step S110: and acquiring the disease type contained in the disease infection information corresponding to the dining user and the dining transaction record of the dining user.
The network service related to the catering is very popular with the users due to the convenience, and the users can use various services such as ordering, evaluating food, food recommendation and the like provided by the network service related to the catering. In this embodiment, an APP that can provide at least the above-described service to the user is taken as an example for description.
The method comprises the steps that a health investigation function entrance is added in an APP to obtain disease infection information of a dining user, specifically, the health investigation function entrance is added in a comment area, the user inputs the disease infection information through the health investigation function entrance, or the disease infection information is generated by selecting according to various disease type options contained in the disease infection information provided by a system, and a server side obtains the disease infection information sent from the function entrance. Of course, this approach is merely exemplary, and aspects of the present invention are not limited thereto. Wherein, the disease type can be preset by the operator and is updated by irregular maintenance, which comprises: the disease types of the patients are influenza, blood pressure is increased, diabetes is attacked, internal heat is generated, the patients have no change and all the patients have good appetite, and the like.
Wherein the food trade record can indicate when the dining user has eaten what food, most diseases are caused by improper diet, and the types of diseases caused by different foods are different, for example, the spicy soup and the hot pot can cause the excessive internal heat, and the millet congee cannot cause the excessive internal heat. Therefore, the method of this embodiment needs to acquire the disease type included in the disease infection information of the dining user, and then determine the correlation between the disease type included in the disease infection information of the dining user and the historical dining behavior of the dining user, so as to generate the disease reminding message.
Step S120: a time difference between the information generation time of the disease infection information and the record generation time of the catering transaction record is determined.
Wherein the relevance of the disease infection information of the dining user and the historical dining behavior thereof is determined according to the time difference between the information generation time of the disease infection information and the record generation time of the dining transaction record. Specifically, the time difference may be a minimum unit of day, that is, the time difference between the information generation time and the record generation time is determined to be several days, for example, the transaction record generation time of the hotpot of the dining user is 2 months and 1 day, and the information generation time of the dining user including the "burned" disease infection information is 2 months and 3 days, so that the time difference between the information generation time and the record generation time is 2 days; alternatively, the time difference may be in the minimum unit of hour, that is, the time difference between the above information generation time and the record generation time is determined to be several hours, for example, when the transaction record generation time of the hotpot of the dining user is 11 pm on 1 month of 2, and the information generation time of the information of the disease infection information including "getting burned" on the dining user is 8 pm on 1 month of 2, the time difference between the information generation time and the record generation time is 9 hours. The minimum unit of the time difference is not limited in the present invention, and for example, the minimum unit of the time difference may be further accurate to minutes, and may be set by those skilled in the art according to actual needs.
Step S130: and determining a correlation score between the catering information contained in the catering transaction record and the disease type contained in the disease infection information according to the time difference.
The relevancy score between the dining information and the disease type contained in the disease infection information can indicate the possibility that the dining user is infected with the disease corresponding to the disease type by the dining item or the shop corresponding to the dining information, and the higher the relevancy score is, the higher the possibility is.
Specifically, the closer the information generation time of the disease infection information of the dining user is, the higher the possibility that the food or store corresponding to the dining information causes the user to be infected with the disease is, that is, the larger the time difference between the information generation time of the disease infection information and the record generation time of the dining transaction record is, the lower the relevancy score is; the smaller the time difference between the information generation time of the disease infection information and the record generation time of the food and drink transaction record, the higher the relevancy score. Further, when the time difference is greater than a preset threshold, the relevancy score is 0; when the time difference is less than zero, the score of the correlation degree is 0; when the time difference is zero, the correlation score is 1. The relevancy score can be set in advance according to the time difference, and is stored in a correlated manner with the time difference, and the operator performs maintenance and updating irregularly.
Step S140: and determining the catering information which has relevance with the disease type contained in the disease infection information according to the relevance score, and generating a disease reminding message according to the catering information which has relevance.
Specifically, according to the relevance score obtained in step S130, the dining information having relevance to the disease type included in the disease infection information is determined, if the relevance score between a certain piece of dining information and the disease type included in the disease infection information satisfies a preset condition, for example, the relevance score is greater than a preset score threshold, it is determined that the dining information is the dining information having relevance to the disease type, and then the disease reminding information is generated according to the dining information having relevance, so that the user can refer to the dining information when ordering.
For example, if the meal information is meal information, the generated disease reminding information may be related information of diseases possibly caused by the meal, so as to remind the user to carefully select the meal; if the catering information is store information, the generated disease reminding information can be related information of diseases possibly caused by unqualified health of the store or meals in the store, so as to remind a user of careful selection, and further play a role in monitoring the store.
According to the disease reminding method based on the dining information provided by the embodiment, firstly, the disease type contained in the disease infection information corresponding to the dining user and the dining transaction record of the dining user are obtained; then, determining the time difference between the information generation time of the disease infection information and the record generation time of the catering transaction record; then, determining a relevancy score between the catering information contained in the catering transaction record and the disease type contained in the disease infection information according to the time difference; and finally, determining the catering information which has relevance with the disease type contained in the disease infection information according to the relevance score, and generating a disease reminding message according to the catering information which has relevance. The method considers that the dining condition of the dining user is correlated with the disease information, so that a method for generating the disease reminding information according to the dining transaction data and the disease infection information of the user is provided, the disease reminding information is more detailed and accurate so as to be referred by the user when the user orders, and the method can provide humanistic care for the user from the aspect of daily diet and further improve the user experience.
Fig. 2 shows a flowchart of a disease reminding method based on catering information according to a second embodiment of the invention. As shown in fig. 2, the method includes:
step S210: respectively obtaining the disease type contained in the disease infection information corresponding to each dining user and each dining transaction record of the dining user in a preset time period.
Specifically, disease comment messages sent by the user terminal through the restaurant comment entrance are received, and disease infection information is obtained according to the disease comment messages. Wherein, the number of the dining users is a plurality.
Specifically, the example of the APP related to dining is described in this embodiment, a dining user can submit a disease comment message through a dining comment entry configured in an APP page, and a user terminal sends the disease comment message sent through the dining comment entry to a server. In addition, the restaurant comment entries can further comprise a plurality of preset disease selection entries and a user-defined disease input entry, the preset disease selection entries can be clicked to enter a disease type option page, the dining users select according to various disease type options, and then disease comment information of the dining users is submitted; and clicking the custom disease input entry to enter a custom page, and the dining user can input corresponding disease related information in the page and further submit disease comment information of the dining user. The number and types of diseases contained in the preset disease selection entry can be dynamically adjusted according to the contents received in the user-defined disease input entry, and can also be dynamically adjusted according to the actual situation.
In practical application, data such as diagnosis data, social security record information and medical record information related to a hospital can be acquired according to third-party applications such as Ali health or registrable payment instruments, and disease infection information of the dining user can be extracted from the data. The present invention is not limited to the manner of acquiring the disease review information of the dining user.
Then, acquiring disease infection information according to the disease comment message, extracting the disease comment message aiming at the disease comment message sent by the user-defined disease input entrance, extracting information related to the disease in the disease comment message, and further determining the disease infection information according to the information; and for the disease comment message sent by the preset disease selection entrance, the disease comment message and the disease infection information can be stored in a correlated manner in advance, and the disease infection information corresponding to the disease comment message is acquired according to the correlation between the disease comment message and the disease infection information. Then, the disease types included in the disease infection information corresponding to each dining user are extracted.
Further, when the acquired disease types contained in the disease infection information corresponding to the dining user are multiple, the number of the disease infection information corresponding to each disease type is acquired respectively; and determining at least one disease type as a preset reminding type according to the quantity of the disease infection information corresponding to each disease type.
According to the number of disease infection information corresponding to each disease type, the recent epidemic or high incidence can be determined, and errors caused by individual constitution differences can be eliminated. Specifically, when the number of the disease infection information including a certain disease type is larger than a preset threshold value, the disease type is determined as a preset reminding type, and in the subsequent step, a disease reminding message is generated according to the catering information which is related to the preset reminding type. By the method, the recent epidemic or high incidence can be determined by using the data of the dining users, so that the disease reminding message is sent aiming at the epidemic or high incidence, and the interference caused by individual difference can be eliminated.
The dining user can be determined what food the dining user has eaten at what time according to the dining transaction records of the dining user, most diseases are caused by improper diet, and the types of the diseases caused by different foods are different. Therefore, the method of this embodiment needs to acquire the disease type included in the disease infection information of the dining user, and then determine the correlation between the disease type included in the disease infection information of the dining user and the historical dining behavior of the dining user, so as to generate the disease reminding message.
In actual life, food causing the infection of diseases to dining users is often eaten by the dining users within a recent period of time, and the food which is eaten for a long time does not have correlation with the diseases infected by the dining users, so that in the embodiment, only each dining transaction record of the dining users within a preset period of time is obtained, and the dining transaction record which has correlation with the disease types within the preset period of time is determined. The preset time period may be one month or three days, etc., which is not limited in the present invention and can be set by those skilled in the art according to actual needs.
Step S220: and respectively determining the time difference between the information generation time of the disease infection information corresponding to each dining user and the record generation time of each dining transaction record aiming at each dining transaction record of each dining user in a preset time period.
In the method of the embodiment, the dining user is considered to have correlation between each dining record in the preset time period and the disease infection information of the dining user, and the correlation degree is determined according to the time difference between the information generation time of the disease infection information and the record generation time of the dining transaction record. The preset time interval may be a certain time interval before the information generation time of the disease infection information of the dining user, and in this case, the time difference is not less than zero.
Step S230: and determining a relevancy score between the dining information contained in the dining transaction record and the disease type contained in the disease infection information corresponding to the dining user according to the time difference between the information generation time of the disease infection information corresponding to the dining user and the record generation time of the dining transaction record.
The catering information may specifically refer to food information and/or store information. The relevancy score between the dining information and the disease type contained in the disease infection information can indicate the possibility that the dining item or the shop corresponding to the dining information causes the dining user to be infected with the disease corresponding to the disease type. Wherein the relevancy score is inversely proportional to the time difference.
Specifically, the closer the information generation time of the disease infection information of the dining user is, the higher the possibility that the food or store corresponding to the dining information causes the user to be infected with the disease is, that is, the larger the time difference between the information generation time of the disease infection information and the record generation time of the dining transaction record is, the lower the relevancy score is; the smaller the time difference between the information generation time of the disease infection information and the record generation time of the food and drink transaction record, the higher the relevancy score. For example, if the preset time period is 6 days, the preset time period refers to the time period 5 days before and on the day when the information including the disease infection information is generated, and the relevancy scores between the dining information included in the dining record information of each day in the time period and the disease types of the disease infection information of the dining user are respectively set, as shown in table 1:
TABLE 1
Time difference (sky) 0 1 2 3 4 5
Relevancy score 1 0.9 0.6 0.3 0.2 0.1
If the time difference between the information generation time of a certain disease infection information of a dining user and the record generation time of the dining transaction record is greater than 5 or less than 0, the relevancy scores between the dining information contained in the dining transaction record and the disease types contained in the disease infection information corresponding to the dining user are all zero. It should be noted that table 1 is only one specific embodiment of the present invention, and the scheme of the present invention is not limited thereto, and those skilled in the art can flexibly set the scheme according to actual needs.
Step S240: and performing preset processing according to the relevancy score between the catering information contained in each catering transaction record and the disease type contained in the disease infection information.
In practical application, for each dining user, the disease types contained in the disease infection information may include a plurality of types, and the dining information corresponding to one disease type may also include a plurality of types, so that for the plurality of dining users, the dining transaction records and the disease infection information of the plurality of dining users are processed through the steps, and the relevancy scores between the plurality of dining information and the disease types can be obtained.
The above steps are explained below by a specific example, fig. 3 shows a schematic diagram of dining transaction record information and disease infection information of a dining user according to a second embodiment of the present invention, as shown in fig. 3:
the dots represent the food and drink transaction records and the filled rectangles represent disease infection information. First, meal transaction records corresponding to possible foods which may cause a meal user to be infected with diseases are determined according to a preset time period, and then, according to the table 1 and fig. 3, correlation scores between meal information contained in the meal transaction records of the user a and the user B and disease types of the disease infection information of the meal user can be obtained, which are respectively as follows:
the reasons which may cause the dining user A to be "on fire" include spicy soup and barbecue, and if the time difference between the information generation time of the disease infection information corresponding to "on fire" and the record generation time of the dining transaction record corresponding to barbecue is 1, the corresponding relevancy score is 0.9; the time difference between the information generation time of the disease infection information corresponding to the 'getting on fire' and the record generation time of the catering transaction record corresponding to the spicy dip is 2, and the corresponding relevancy score is 0.6; the reasons which may cause the dining user B to be "on fire" include a hot pot and a hot pot, and if the time difference between the information generation time of the disease infection information corresponding to the "on fire" and the record generation time of the food and drink transaction record corresponding to the hot pot is 1, the corresponding relevancy score is 0.9; if the time difference between the information generation time of the disease infection information corresponding to the 'excessive internal heat' and the record generation time of the catering transaction record corresponding to the hot pot is 3, the corresponding relevancy score is 0.3; the reason that the eating user B may cause "belly-pulling" only includes the fruit meal, and if the time difference between the information generation time of the disease infection information corresponding to "belly-pulling" and the record generation time of the food and drink transaction record corresponding to the hotpot is 0, the corresponding relevancy score is 1.
Then the following multiple relevancy scores can be obtained: 'get on fire' -roast-0.9; "get angry" -spicy soup-0.6; "get angry" -spicy soup 0.9; 'get angry' -chafing dish-0.3; "Ladu" -fruit meal-1. In practical applications, the data of the dining users a and B are obtained and analyzed to obtain multiple relevancy scores, and then preset processing is performed according to the multiple relevancy scores, wherein the preset processed multiple relevancy scores correspond to the same disease type and the same dining information.
Through the steps, the relevancy scores between the catering information contained in each catering transaction record and the disease types contained in the disease infection information can be determined, and preset processing is performed on the relevancy scores so that the catering information which is related to the disease types in the disease infection information can be determined according to the processing result of the subsequent step. The preset processing may include an averaging processing, a maximum value processing, or a minimum value processing, and the like, which is not limited in the present invention.
Step S250: and determining the association score between each food and drink information and the disease type contained in the disease infection information according to the processing result, and determining the food and drink information with the association score larger than a preset threshold as the food and drink information which has relevance to the disease type contained in the disease infection information.
And determining a correlation score between each food and drink information and the disease type contained in the disease infection information according to the processing result of the preset processing, specifically, if the preset processing is averaging processing, determining an average value of the correlation scores between each food and drink information and the disease type contained in the disease infection information as the correlation score, or determining a minimum value or a maximum value of the correlation scores between each food and drink information and the disease type contained in the disease infection information as the correlation score. And then, judging whether the association score between each kind of catering information and the disease type contained in the disease infection information is larger than a preset threshold value, and if so, determining that the catering information is the catering information which has relevance to the disease type contained in the disease infection information.
Further, the preset processing is carried out on the relevancy scores between the catering information contained in each catering transaction record and the disease types contained in the disease infection information; the step of determining the association score between each food and drink information and the disease type contained in the disease infection information according to the processing result specifically includes:
inquiring each catering transaction record containing the catering information aiming at each disease type contained in the disease infection information and each catering information corresponding to the disease type; and performing preset operation on each relevancy score corresponding to each inquired catering transaction record containing the catering information, and determining the association score between the catering information and the disease type according to the operation result.
Following the above example, the plurality of relevancy scores are averaged, and the relevance score can be calculated by the following formula:
F＝(X1+X2+X3+X4+…+Xi) I (formula one)
Wherein F is the association score between the catering information and the disease type, and X1、X2、X3、X4…XiAll the relevancy scores are determined according to the food and beverage transaction records of different dining users and the disease infection information, and X1、X2、X3、X4…XiCorresponding to the same catering information and disease types, i is the number of relevancy scores. Taking the disease type of "getting angry" as an example, the correlation score between the hotpot corresponding to the dining user a and the "getting angry" is 0.6, the correlation score between the hotpot corresponding to the dining user B and the "getting angry" is 0.9, and then the correlation score calculation formula between the hotpot and the "getting angry" is: (0.6+0.9)/2, that is. In practical application, food and drink transaction records and disease infection information of a plurality of dining users are analyzed, relevancy scores between a plurality of food and drink information and disease types can be obtained, and then preset processing is performed on the relevancy scores. The averaging process is only one specific embodiment of the preset operation in the present invention, and the scheme of the present invention is not limited thereto.
And determining the association score between each food and drink information and the corresponding disease type according to the steps, and then determining the food and drink information of which the association score is larger than a preset threshold as the food and drink information which has relevance to the disease type contained in the disease infection information.
Further, in order to eliminate the error caused by the individual body constitution difference, after the step of querying each dining transaction record containing the dining information for each disease type contained in the disease infection information and each dining information corresponding to the disease type, the method of this embodiment further includes:
judging whether the number of the inquired catering transaction records containing the catering information is greater than a preset filtering threshold value or not; if yes, executing a step of performing preset operation on each relevancy score corresponding to each inquired catering transaction record containing the catering information; if not, filtering out each catering transaction record containing the catering information, namely not performing preset operation on each relevancy score corresponding to each catering transaction record containing the catering information. Whether the quantity of each food and beverage record containing this kind of food and beverage information through judging the inquiry is greater than predetermineeing the filtering threshold value, if no, then the filtering can effectively avoid because of the error that individual difference produced, and the quantity of each food and beverage record containing this kind of food and beverage information is less, then indicates that the food and beverage article or the audience in shop that this kind of food and beverage information corresponds are less, and each food and beverage record containing this kind of food and beverage information does not have the reference. For example, when a fruit meal is eaten with belly-pulling individually, the relevance is 1, but other people do not pull belly, the average value of the relevance (namely the relevance score between the fruit meal and the belly-pulling) is also 1, but the quantity is small, and only 3 messages are counted, so that the messages are filtered out.
Step S260: and generating a disease reminding message according to the related catering information.
And determining the catering information which is relevant to the disease type contained in the disease infection information according to the steps, generating a disease reminding message according to the catering information which is relevant, and further sending the disease reminding message to a user terminal for the user to refer when ordering. The disease reminding message is a reminding message sent aiming at the type of a disease, and/or the disease reminding message is a reminding message sent aiming at catering information. For example, the alert message issued for the disease type includes: contraindications about recent epidemics are given in APP; the reminding message sent aiming at the catering information comprises: and (4) sending out prompt messages about the diseases prone to be caused aiming at specific meals or shops.
Wherein, the catering information includes food information and/or shop information, and then the specific form of the disease reminding information can be: displaying the disease reminding information in a plate of a shop notice in an APP page; or show the food information or the shop information contained in the disease reminding information in a floating way on the corresponding page. For example, if the chafing dish is the dining information related to the excessive internal heat, the contents of "eating the chafing dish recently and paying attention to the excessive internal heat" are displayed in the store bulletins of all the chafing dish stores.
In conclusion, the method considers that the dining condition of the dining user is correlated with the disease information, so that a method for determining the correlation between the dining information and the disease according to the time difference between the dining transaction record and the disease infection data is provided, then the dining information correlated with the disease is determined according to the correlation, and the disease reminding information is sent aiming at the dining information correlated with the disease, so that the disease reminding information is more accurate and detailed, the humanistic care can be provided for the user from the aspect of daily diet, and the user experience is further improved; secondly, as ordering is indispensable in life of people, audiences of disease reminding information can be increased by the method; according to the catering transaction data and the disease infection information of a plurality of dining users, the accuracy of the determined catering information related to diseases can be higher, and errors caused by individual differences can be eliminated by screening the disease infection information.
EXAMPLE III
Fig. 4 is a schematic structural diagram of a disease reminding device based on catering information according to a third embodiment of the invention, and the system includes:
the obtaining module 41 is adapted to obtain a disease type included in the disease infection information corresponding to the dining user and a dining transaction record of the dining user;
a time difference determination module 42 adapted to determine a time difference between the information generation time of the disease infection information and the record generation time of the catering transaction record;
a relevancy score determining module 43 adapted to determine a relevancy score between the dining information contained in the dining transaction record and the disease type contained in the disease infection information according to the time difference;
the catering information determination module 44 is adapted to determine catering information which is related to the disease type contained in the disease infection information according to the relevancy score;
and a disease reminding message generating module 45, adapted to generate a disease reminding message according to the catering information with the relevance.
Optionally, the number of dining users is multiple, and the obtaining module 41 is further adapted to: respectively acquiring the disease type contained in the disease infection information corresponding to each dining user and each dining transaction record of the dining user in a preset time period;
the time difference determination module 42 is further adapted to: respectively determining the time difference between the information generation time of the disease infection information corresponding to each dining user and the record generation time of each dining transaction record aiming at each dining transaction record of each dining user in a preset time period;
the relevancy score determination module 43 is further adapted to: and determining a relevancy score between the dining information contained in the dining transaction record and the disease type contained in the disease infection information corresponding to the dining user according to the time difference between the information generation time of the disease infection information corresponding to the dining user and the record generation time of the dining transaction record.
Optionally, the relevancy score is inversely proportional to the time difference.
Optionally, the dining information determination module 44 is further adapted to:
presetting the relevancy scores between the catering information contained in each catering transaction record and the disease types contained in the disease infection information;
determining a correlation score between each food and drink information and a disease type contained in the disease infection information according to the processing result;
and determining the catering information with the association score larger than a preset threshold value as the catering information which has relevance to the disease type contained in the disease infection information.
Optionally, the dining information determination module 44 is further adapted to:
inquiring each catering transaction record containing the catering information aiming at each disease type contained in the disease infection information and each catering information corresponding to the disease type;
and performing preset operation on each relevancy score corresponding to each inquired catering transaction record containing the catering information, and determining the association score between the catering information and the disease type according to the operation result.
Optionally, the apparatus further comprises:
the judging module is suitable for judging whether the number of the inquired catering transaction records containing the catering information is greater than a preset filtering threshold value or not;
the dining information determination module 44 is further adapted to: and if so, executing a step of performing preset operation on each relevancy score corresponding to each inquired catering transaction record containing the catering information.
Optionally, the obtaining module 41 is further adapted to: when the acquired disease types contained in the disease infection information corresponding to the dining user are multiple, respectively acquiring the number of the disease infection information corresponding to each disease type;
the disease alert message generating module 45 is further adapted to: determining at least one disease type as a preset reminding type according to the quantity of the disease infection information corresponding to each disease type;
the disease reminder message generating module 45 is further adapted to: and generating a disease reminding message according to the catering information which has correlation with the preset reminding type.
Optionally, the disease reminding message is a reminding message sent for a disease type, and/or the disease reminding message is a reminding message sent for catering information.
Optionally, the dining information comprises: meal information and/or store information.
Optionally, the obtaining module 41 is further adapted to:
and receiving disease comment messages sent by the user terminal through the restaurant comment entrance, and acquiring disease infection information according to the disease comment messages.
The specific structure and operation principle of each module described above may refer to the description of the corresponding part in the method embodiment, and are not described herein again.
Example four
The fourth embodiment of the application provides a nonvolatile computer storage medium, wherein the computer storage medium stores at least one executable instruction, and the computer executable instruction can execute the food and beverage information-based disease reminding method in any method embodiment.
The executable instructions may be specifically configured to cause the processor to: acquiring a disease type contained in disease infection information corresponding to a dining user and a dining transaction record of the dining user; determining a time difference between the information generation time of the disease infection information and the record generation time of the food and drink transaction record; determining a relevancy score between the catering information contained in the catering transaction record and the disease type contained in the disease infection information according to the time difference; and determining the catering information which has relevance with the disease type contained in the disease infection information according to the relevance score, and generating a disease reminding message according to the catering information which has relevance.
EXAMPLE five
Fig. 5 is a schematic structural diagram of an electronic device according to a fifth embodiment of the present invention, and the specific embodiment of the present invention does not limit the specific implementation of the electronic device.
As shown in fig. 5, the electronic device may include: a processor (processor)502, a Communications Interface 504, a memory 506, and a communication bus 508.
Wherein:
the processor 502, communication interface 504, and memory 506 communicate with one another via a communication bus 508.
A communication interface 504 for communicating with network elements of other devices, such as clients or other servers.
The processor 502 is configured to execute the program 510, and may specifically execute relevant steps in the above-described embodiment of the meal information-based disease reminding method.
In particular, program 510 may include program code that includes computer operating instructions.
The processor 502 may be a central processing unit CPU, or an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement an embodiment of the present invention. The electronic device comprises one or more processors, which can be the same type of processor, such as one or more CPUs; or may be different types of processors such as one or more CPUs and one or more ASICs.
And a memory 506 for storing a program 510. The memory 506 may comprise high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
The program 510 may specifically be used to cause the processor 502 to perform the following operations: acquiring a disease type contained in disease infection information corresponding to a dining user and a dining transaction record of the dining user; determining a time difference between the information generation time of the disease infection information and the record generation time of the food and drink transaction record; determining a relevancy score between the catering information contained in the catering transaction record and the disease type contained in the disease infection information according to the time difference; and determining the catering information which has relevance with the disease type contained in the disease infection information according to the relevance score, and generating a disease reminding message according to the catering information which has relevance.
The algorithms and displays presented herein are not inherently related to any particular computer, virtual machine, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. Moreover, the present invention is not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. It will be appreciated by those skilled in the art that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functions of some or all of the components of the meal information based disease reminder apparatus according to embodiments of the present invention. The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.

Claims (20)

1. A disease reminding method based on catering information comprises the following steps:
acquiring a disease type contained in disease infection information corresponding to a dining user and a dining transaction record of the dining user;
determining a time difference between an information generation time of the disease infection information and a record generation time of the meal transaction record;
determining a relevancy score between the catering information contained in the catering transaction record and the disease type contained in the disease infection information according to the time difference;
determining catering information which has relevance with the disease type contained in the disease infection information according to the relevance score, and generating a disease reminding message according to the catering information with relevance;
wherein, if the number of the dining users is multiple, the step of determining the dining information having a correlation with the disease type included in the disease infection information according to the correlation score specifically includes: presetting the relevancy scores between the catering information contained in each catering transaction record and the disease types contained in the disease infection information; and determining the association score between each food and drink information and the disease type contained in the disease infection information according to the processing result, and determining the food and drink information of which the association score is larger than a preset threshold as the food and drink information which has relevance to the disease type contained in the disease infection information.
2. The method according to claim 1, wherein the step of obtaining the disease type included in the disease infection information corresponding to the dining user and the dining transaction record of the dining user specifically comprises: respectively acquiring the disease type contained in the disease infection information corresponding to each dining user and each dining transaction record of the dining user in a preset time period;
the time difference between the information generation time of the disease infection information and the record generation time of the catering transaction record is determined; the step of determining a relevancy score between the dining information contained in the dining transaction record and the disease type contained in the disease infection information according to the time difference specifically includes:
respectively determining the time difference between the information generation time of the disease infection information corresponding to each dining user and the record generation time of each dining transaction record aiming at each dining transaction record of each dining user in a preset time period;
and determining a relevancy score between the dining information contained in the dining transaction record and the disease type contained in the disease infection information corresponding to the dining user according to the time difference between the information generation time of the disease infection information corresponding to the dining user and the record generation time of the dining transaction record.
3. The method of claim 2, wherein the relevancy score is inversely proportional to the time difference.
4. The method according to claim 1, wherein the relevancy score between the catering information contained in each catering transaction record and the disease type contained in the disease infection information is preset; the step of determining the association score between each food and drink information and the disease type contained in the disease infection information according to the processing result specifically includes:
inquiring each catering transaction record containing the catering information aiming at each disease type contained in the disease infection information and each catering information corresponding to the disease type;
and performing preset operation on the relevance scores corresponding to the inquired catering transaction records containing the catering information, and determining the association score between the catering information and the disease type according to the operation result.
5. The method of claim 4, wherein the step of querying each food and drink transaction record containing the food and drink information for each disease type contained in the disease infection information and each food and drink information corresponding to the disease type further comprises:
judging whether the number of the inquired catering transaction records containing the catering information is greater than a preset filtering threshold value or not;
and if so, executing the step of performing preset operation on each relevancy score corresponding to each inquired catering transaction record containing the catering information.
6. The method according to any one of claims 1 to 5, wherein the step of obtaining the disease type included in the disease infection information corresponding to the dining user further comprises:
when the acquired disease types contained in the disease infection information corresponding to the dining user are multiple, respectively acquiring the number of the disease infection information corresponding to each disease type;
determining at least one disease type as a preset reminding type according to the quantity of the disease infection information corresponding to each disease type;
the step of generating a disease reminding message according to the catering information with the relevance specifically comprises the following steps:
and generating a disease reminding message according to the catering information which has correlation with the preset reminding type.
7. The method as claimed in claim 6, wherein the disease reminding message is a reminding message sent for a disease type, and/or the disease reminding message is a reminding message sent for catering information.
8. The method of any of claims 1-5, wherein the dining information comprises: meal information and/or store information.
9. The method according to any one of claims 1 to 5, wherein the step of obtaining the disease infection information corresponding to the dining user specifically comprises:
and receiving a disease comment message sent by a user terminal through a restaurant comment entrance, and acquiring the disease infection information according to the disease comment message.
10. A disease reminding device based on catering information comprises:
the acquisition module is suitable for acquiring the disease types contained in the disease infection information corresponding to the dining users and the catering transaction records of the dining users;
a time difference determination module adapted to determine a time difference between an information generation time of the disease infection information and a record generation time of the catering transaction record;
a relevancy score determining module, adapted to determine a relevancy score between the dining information contained in the dining transaction record and the disease type contained in the disease infection information according to the time difference;
the catering information determination module is suitable for determining catering information which has relevance with the disease type contained in the disease infection information according to the relevancy score;
the disease reminding message generating module is suitable for generating a disease reminding message according to the related catering information;
wherein the number of dining users is multiple, and the dining information determining module is further adapted to:
presetting the relevancy scores between the catering information contained in each catering transaction record and the disease types contained in the disease infection information; determining a correlation score between each food and drink information and a disease type contained in the disease infection information according to a processing result; and determining the catering information with the association score larger than a preset threshold value as the catering information with the relevance to the disease type contained in the disease infection information.
11. The apparatus of claim 10, wherein the acquisition module is further adapted to: respectively acquiring the disease type contained in the disease infection information corresponding to each dining user and each dining transaction record of the dining user in a preset time period;
the time difference determination module is further adapted to: respectively determining the time difference between the information generation time of the disease infection information corresponding to each dining user and the record generation time of each dining transaction record aiming at each dining transaction record of each dining user in a preset time period;
the relevancy score determination module is further adapted to: and determining a relevancy score between the dining information contained in the dining transaction record and the disease type contained in the disease infection information corresponding to the dining user according to the time difference between the information generation time of the disease infection information corresponding to the dining user and the record generation time of the dining transaction record.
12. The apparatus of claim 11, wherein the relevancy score is inversely proportional to the time difference.
13. The apparatus of claim 10, wherein the dining information determination module is further adapted to:
inquiring each catering transaction record containing the catering information aiming at each disease type contained in the disease infection information and each catering information corresponding to the disease type;
and performing preset operation on the relevance scores corresponding to the inquired catering transaction records containing the catering information, and determining the association score between the catering information and the disease type according to the operation result.
14. The apparatus of claim 13, wherein the apparatus further comprises:
the judging module is suitable for judging whether the number of the inquired catering transaction records containing the catering information is greater than a preset filtering threshold value or not;
the catering information determination module is further adapted to: and if so, executing the step of performing preset operation on each relevancy score corresponding to each inquired catering transaction record containing the catering information.
15. The apparatus of any of claims 10-14, the acquisition module further adapted to: when the acquired disease types contained in the disease infection information corresponding to the dining user are multiple, respectively acquiring the number of the disease infection information corresponding to each disease type;
the disease reminder message generation module is further adapted to: determining at least one disease type as a preset reminding type according to the quantity of the disease infection information corresponding to each disease type;
the disease reminder message generation module is further adapted to: and generating a disease reminding message according to the catering information which has correlation with the preset reminding type.
16. The device of claim 15, wherein the disease reminding message is a reminding message sent for a disease type, and/or the disease reminding message is a reminding message sent for catering information.
17. The apparatus of any of claims 10-14, wherein the dining information comprises: meal information and/or store information.
18. The apparatus of any of claims 10-14, wherein the acquisition module is further adapted to:
and receiving a disease comment message sent by a user terminal through a restaurant comment entrance, and acquiring the disease infection information according to the disease comment message.
19. An electronic device, comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction causes the processor to execute the operation corresponding to the food and beverage information-based disease reminding method according to any one of claims 1-9.
20. A computer storage medium having at least one executable instruction stored therein, the executable instruction causing a processor to perform operations corresponding to the food and beverage information-based disease reminding method according to any one of claims 1 to 9.
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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004329066A (en) * 2003-05-02 2004-11-25 Saito Kazue Meal/health management integrated system
CN104949683A (en) * 2015-05-29 2015-09-30 小米科技有限责任公司 Navigation method and apparatus thereof
CN105160485A (en) * 2015-09-14 2015-12-16 济南华汉电气科技有限公司 Food and drink management system
CN106529158A (en) * 2016-10-27 2017-03-22 北京小米移动软件有限公司 Diet information recommendation method and apparatus

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004329066A (en) * 2003-05-02 2004-11-25 Saito Kazue Meal/health management integrated system
CN104949683A (en) * 2015-05-29 2015-09-30 小米科技有限责任公司 Navigation method and apparatus thereof
CN105160485A (en) * 2015-09-14 2015-12-16 济南华汉电气科技有限公司 Food and drink management system
CN106529158A (en) * 2016-10-27 2017-03-22 北京小米移动软件有限公司 Diet information recommendation method and apparatus

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