CN112860997A - Medical resource recommendation method, device, equipment and storage medium - Google Patents
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Abstract
The embodiment of the application provides a medical resource recommendation method, a medical resource recommendation device, medical resource recommendation equipment and a storage medium, wherein the medical resource recommendation method comprises the following steps: receiving a user query request, wherein the user query request carries tag information; selecting target medical resources which accord with the label information from a preset medical resource library to generate a first set; acquiring an evaluation index value of each target medical resource in the first set, wherein the evaluation index value corresponds to the label information; and outputting a query result according to a preset recommendation rule and the evaluation index value of each target medical resource. The method and the device have the advantages that the user is helped to intuitively and quickly match the appropriate medical resources, medical time is saved, and medical efficiency is improved.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a medical resource recommendation method, apparatus, device, and storage medium.
Background
Internet medical treatment, which is a new application of the internet in the medical industry, includes health education, medical information inquiry, electronic health records, disease risk assessment, online disease consultation, electronic prescription, remote consultation, remote treatment and rehabilitation and other health medical services taking the internet as a carrier and technical means. The internet medical platform integrates a large amount of medical resource information, and provides great convenience for people to find medical questions, but it is also extremely difficult for users to find medical resources suitable for the users from the huge medical resource information.
Disclosure of Invention
An object of the embodiments of the present application is to provide a method, an apparatus, a device and a storage medium for recommending medical resources, so as to help a user intuitively and quickly match appropriate medical resources, save medical time and improve medical efficiency.
A first aspect of an embodiment of the present application provides a medical resource recommendation method, including: receiving a user query request, wherein the user query request carries tag information; selecting target medical resources which accord with the label information from a preset medical resource library to generate a first set; acquiring an evaluation index value of each target medical resource in the first set, wherein the evaluation index value corresponds to the label information; and outputting a query result according to a preset recommendation rule and the evaluation index value of each target medical resource.
In one embodiment, the method further comprises: acquiring evaluation data of medical resources; searching for a preset label in the evaluation data and evaluation information corresponding to the preset label; judging whether the preset label meets a first preset rule or not; when the preset label meets a first preset rule, judging whether evaluation information corresponding to the preset label meets a second preset rule or not; and when the evaluation information corresponding to the preset label meets a second preset rule, synchronizing the evaluation information to a label list of the medical resource.
In one embodiment, the adding the evaluation information to the tag list of the medical resource includes: judging whether the preset tag exists in the tag list or not; if the preset label exists in the label list, updating the evaluation index value of the preset label in the label list according to the evaluation information; and if the preset label does not exist in the label list, adding the preset label and the evaluation index value of the preset label in the label list.
In an embodiment, the outputting a query result according to a preset recommendation rule and an evaluation index value of each target medical resource includes: calculating the recommendation score of each target medical resource according to the evaluation index value of each target medical resource; sequencing the target medical resources according to the recommended scores; and outputting the sequencing result as the query result.
In one embodiment, the calculating the recommended score of each of the target medical resources according to the evaluation index value of each of the target medical resources includes: respectively carrying out logarithmic processing on the first index value and the second index value to obtain a first logarithm value and a second logarithm value; and calculating the recommendation score according to the first logarithmic value, the second logarithmic value and a preset weight.
A second aspect of the embodiments of the present application provides a medical resource recommendation device, including: the receiving module is used for receiving a user query request, and the user query request carries tag information; the selecting module is used for selecting target medical resources which accord with the label information from a preset medical resource library to generate a first set; a first obtaining module, configured to obtain an evaluation index value of each of the target medical resources in the first set, where the evaluation index value corresponds to the tag information; and the output module is used for outputting a query result according to a preset recommendation rule and the evaluation index value of each target medical resource.
In one embodiment, the method further comprises: the second acquisition module is used for acquiring evaluation data of the medical resources; the searching module is used for searching a preset label in the evaluation data and evaluation information corresponding to the preset label; the first judgment module is used for judging whether the preset label meets a first preset rule or not; the second judging module is used for judging whether the evaluation information corresponding to the preset label meets a second preset rule or not when the preset label meets the first preset rule; and the synchronization module is used for synchronizing the evaluation information to the label list of the medical resource when the evaluation information corresponding to the preset label meets a second preset rule.
In one embodiment, the synchronization module is configured to: judging whether the preset tag exists in the tag list or not; if the preset label exists in the label list, updating the evaluation index value of the preset label in the label list according to the evaluation information; and if the preset label does not exist in the label list, adding the preset label and the evaluation index value of the preset label in the label list.
In one embodiment, the output module is configured to: calculating the recommendation score of each target medical resource according to the evaluation index value of each target medical resource; sequencing the target medical resources according to the recommended scores; and outputting the sequencing result as the query result.
In an embodiment, the evaluation index value includes a first index value and a second index value corresponding to a preset time period, and the output module is specifically configured to: respectively carrying out logarithmic processing on the first index value and the second index value to obtain a first logarithm value and a second logarithm value; and calculating the recommendation score according to the first logarithmic value, the second logarithmic value and a preset weight.
A third aspect of embodiments of the present application provides an electronic device, including: a memory to store a computer program; a processor configured to perform the method of the first aspect of the embodiments of the present application and any of the embodiments of the present application.
A fourth aspect of embodiments of the present application provides a non-transitory electronic device-readable storage medium, including: a program which, when run by an electronic device, causes the electronic device to perform the method of the first aspect of an embodiment of the present application and any embodiment thereof.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
Fig. 1 is a schematic structural diagram of an electronic device according to an embodiment of the present application;
fig. 2 is a flowchart illustrating a medical resource recommendation method according to an embodiment of the present application;
FIG. 3 is a flowchart illustrating a method for recommending medical resources according to another embodiment of the present application;
fig. 4 is a schematic structural diagram of a medical resource recommendation device in an embodiment of the present application.
Reference numerals:
100-electronic equipment, 110-bus, 120-processor, 130-memory, 400-medical resource recommendation device, 410-receiving module, 420-selecting module, 430-first obtaining module, 440-output module, 450-second obtaining module, 460-searching module, 470-first judging module, 480-second judging module and 490-synchronizing module.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
In the description of the present application, the terms "first," "second," and the like are used for distinguishing between descriptions and do not denote an order of magnitude, nor are they to be construed as indicating or implying relative importance.
In the description of the present application, the terms "comprises," "comprising," and/or the like, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, elements, components, and/or groups thereof.
In the description of the present application, the terms "mounted," "disposed," "provided," "connected," and "configured" are to be construed broadly unless expressly stated or limited otherwise. For example, it may be a fixed connection, a removable connection, or a unitary construction; can be mechanically or electrically connected; either directly or indirectly through intervening media, or may be internal to two devices, elements or components. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art as appropriate.
Please refer to fig. 1, which is a schematic structural diagram of an electronic device 100 according to an embodiment of the present application, and includes at least one processor 120 and a memory 130, where fig. 1 illustrates one processor as an example. The processor 120 and the memory 130 are coupled via the bus 110, and the memory 130 stores instructions executable by the at least one processor 120, the instructions being executable by the at least one processor 120 to cause the at least one processor 120 to perform a medical resource recommendation method as in the embodiments described below.
In one embodiment, the Processor 120 may be a general-purpose Processor, including but not limited to a Central Processing Unit (CPU), a Network Processor (NP), etc., a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, and the processor 120 is the control center of the electronic device 100 and connects the various parts of the entire electronic device 100 using various interfaces and lines. The processor 120 may implement or perform the methods, steps, and logic blocks disclosed in the embodiments of the present application.
In one embodiment, the Memory 130 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, including but not limited to Random Access Memory (RAM), Read Only Memory (ROM), Static Random Access Memory (SRAM), Programmable Read-Only Memory (PROM), Erasable Read-Only Memory (EPROM), electrically Erasable Read-Only Memory (EEPROM), and the like.
The structure of the electronic device 100 shown in fig. 1 is merely illustrative, and the electronic device 100 may also include more or fewer components than shown in fig. 1, or have a different configuration than shown in fig. 1. The components shown in fig. 1 may be implemented in hardware, software, or a combination thereof.
In one embodiment, the electronic device 100 may be a mobile phone, a notebook computer, a desktop computer, or a large server thereof.
In an embodiment, in an internet medical scenario, the electronic device 100 may be a medical server, the electronic device 100 may interface a plurality of user terminals, the user terminals may be mobile phones, computers, and the like of patients, the electronic device 100 may perform data communication with the user terminals, a user may send a user query request carrying tag information to the electronic device 100 through the user terminals, the electronic device 100 may receive the user query request, and screen out a target medical resource meeting the tag information in a preset medical resource library according to the user query request, and may rank the target medical resource according to an evaluation index value of the target medical resource, and recommend the medical resource to the user according to a ranking result.
As shown in fig. 2, which is a flowchart illustrating a medical resource recommendation method according to an embodiment of the present application, the method may be executed by the electronic device 100 shown in fig. 1 to implement recommendation of a proper medical resource to a user, so as to improve medical efficiency. The method comprises the following steps:
step 210: a user query request is received.
In the above steps, the user terminal may send a user query request to the electronic device 100, and the electronic device 100 may receive the user query request, where the user query request carries tag information, where the tag information includes at least one preset tag, and in an embodiment, the preset tag may be a disease tag based on a disease name, such as fracture, coronary heart disease, cold, gastric ulcer, and the like, or a symptom tag based on a patient symptom, such as headache, poor breathing, pale face, and the like, or a treatment tag based on a disease treatment means, such as molecular targeted therapy, orthodontic and orthognathic combined surgery, and the like.
Step 220: and selecting target medical resources which accord with the label information from a preset medical resource library to generate a first set.
In the above step, the preset medical resource library includes a plurality of medical resources, each medical resource has a corresponding tag list, a preset tag of the medical resource and an evaluation index value of each preset tag are recorded in the tag list of each medical resource, the medical resource having the preset tag in the tag information can be selected as a target medical resource according to the tag information carried in the user query request, and all the target medical resources form a first set.
In one embodiment, the medical resource may be a doctor. The preset labels recorded in the label list of the doctor can be obtained through statistical screening according to historical evaluation data and can also be obtained through self evaluation of the doctor.
Step 230: and acquiring the evaluation index value of each target medical resource in the first set, wherein the evaluation index value corresponds to the label information.
In the above step, each preset label has its corresponding evaluation index value in the label list of each medical resource, and the evaluation index value of each target medical resource corresponding to the preset label in the label information is obtained according to the label list of each target medical resource. In one embodiment, the evaluation index value may be a positive evaluation number.
Step 240: and outputting a query result according to a preset recommendation rule and the evaluation index value of each target medical resource.
In an embodiment, outputting the query result according to the preset recommendation rule and the evaluation index value of each target medical resource may include: calculating the recommended value of each target medical resource according to the evaluation index value of each target medical resource; sequencing the target medical resources according to the recommended values; and outputting the sequencing result as a query result.
In an embodiment, the calculating the recommended score of each target medical resource according to the evaluation index value of each target medical resource may include: respectively carrying out logarithm processing on the first index value and the second index value to obtain a first logarithm value and a second logarithm value; and calculating a recommended score according to the first logarithmic value, the second logarithmic value and a preset weight.
In the above step, the first index value may be the number of all positive evaluations, the second index value corresponding to the preset time period may be the number of positive evaluations in the last two years, the preset weight may be set according to the actual requirement, and in an embodiment, the following formula may be used to calculate the recommended score:
X＝a ln(x+1)+b ln(y+1)
where X represents the recommended score of the target medical resource, X represents the first index value of the target medical resource, y represents the second index value of the target medical resource, a represents the weight of the first index value, b represents the weight of the second index value, a and b are both greater than 0, and the weight of the second index value may be greater than the weight of the first index value, for example, a is equal to 15 and b is equal to 30.
In an embodiment, when calculating the recommendation score of each target medical resource, a comprehensive score of other dimensions may be calculated according to the basic information of the target medical resource, and the evaluation score calculated according to the evaluation index value of each target medical resource is added to obtain a final recommendation score, and the recommendation score may be calculated by using the following formula:
X＝Y+a ln(x+1)+b ln(y+1)
wherein Y represents the composite score of the target medical resource. For example, when the medical resource is a doctor, the composite score may be calculated based on the job title level and the working age of the doctor, and the higher the job title level is, the higher the corresponding composite score is, and the longer the working age is, the higher the corresponding composite score is.
In an embodiment, the target medical resources may be sorted according to the recommendation score from large to small to generate a recommendation resource list and output as a query result, or the number of the recommendation resources may be preset, and the target medical resources with a preset number in the recommendation resource list sorted in the front are output as the query result in sequence, so that the sorting condition of the target medical resources in the query result can visually reflect the qualification level of the target medical resources, help the user visually and quickly match the appropriate high-quality medical resources, save medical time, and improve medical efficiency.
As shown in fig. 3, which is a flowchart illustrating a medical resource recommendation method according to an embodiment of the present application, the method may be executed by the electronic device 100 shown in fig. 1 to implement recommendation of a proper medical resource to a user, so as to improve medical efficiency. The method comprises the following steps:
step 310: evaluation data of the medical resource is acquired.
In the above steps, in an internet medical scene, a patient can evaluate medical treatment behaviors such as registration, inquiry and the like, and can incrementally scan evaluation contents on an internet medical platform, so as to obtain evaluation data of medical resources. In one embodiment, the service database of the internet medical platform can be connected according to the pre-stored information such as the IP port address, the connection account password and the like.
Step 320: and searching for a preset label in the evaluation data and evaluation information corresponding to the preset label.
In the above step, according to the standard dictionary, an AC automaton (Aho-firm automation) algorithm may be used to search for the preset tag in the evaluation data and the evaluation information corresponding to the preset tag, where the evaluation information generally includes positive evaluation and negative evaluation, and the positive evaluation number and the negative evaluation number may be counted respectively.
Step 330: and judging whether the preset label meets a first preset rule or not.
In the above steps, it is determined whether the preset tag satisfies the first preset rule, if the preset tag satisfies the first preset rule, step 340 is executed, and if the preset tag does not satisfy the first preset rule, the process is ended.
In an embodiment, the preset tag may be a disease tag, and the first preset rule may be that the disease tag and the medical resource belong to the same department, obtain basic information of the medical resource, and determine whether the preset tag and the medical resource belong to the same department, if yes, execute step 340.
Step 340: and judging whether the evaluation information corresponding to the preset label meets a second preset rule.
In the above steps, it is determined whether the evaluation information corresponding to the preset tag satisfies a second preset rule, if the evaluation information corresponding to the preset tag satisfies the second preset rule, step 350 is executed, and if the evaluation information corresponding to the preset tag does not satisfy the second preset rule, the process is ended.
As in the above embodiment, the preset tag is a disease tag, and the second preset rule may be that the total evaluation count in the evaluation information is greater than or equal to a first preset threshold, and determine whether the total evaluation count in the evaluation information corresponding to the preset tag is greater than or equal to the first preset threshold, if so, execute step 350. The second preset rule may also be that the total number of evaluations in the evaluation information is greater than or equal to a first preset threshold, and the total number of evaluation users in the evaluation information is greater than or equal to a second preset threshold, and determine whether the total number of evaluations in the evaluation information corresponding to the preset tag is greater than or equal to the first preset threshold, if so, continue to determine whether the total number of evaluation users in the evaluation information is greater than or equal to the second preset threshold, and if so, execute step 350.
Step 350: synchronizing the assessment information to a list of tags for the medical resource.
In one embodiment, synchronizing the evaluation information to the tag list of the medical resource may include: judging whether a preset label exists in the label list or not; if the preset label exists in the label list, updating the evaluation index value of the preset label in the label list according to the evaluation information; and if the preset label does not exist in the label list, adding the preset label and the evaluation index value of the preset label in the label list.
According to the method and the device, the disease labels and the evaluation information in the evaluation data are extracted and screened, so that the reliability and the authenticity of the label list of the medical resources are improved, and the accuracy of the medical resource recommendation result is improved.
Step 360: and receiving a user query request, wherein the user query request carries tag information. For details, please refer to the description of step 210 in the above embodiment.
Step 370: and selecting target medical resources which accord with the label information from a preset medical resource library to generate a first set. For details, please refer to the description of step 220 in the above embodiment.
Step 380: and acquiring the evaluation index value of each target medical resource in the first set, wherein the evaluation index value corresponds to the label information. For details, please refer to the description of step 230 in the above embodiment.
Step 390: and outputting a query result according to a preset recommendation rule and the evaluation index value of each target medical resource. For details, please refer to the description of step 240 in the above embodiment.
As shown in fig. 4, which is a schematic structural diagram of a medical resource recommendation apparatus 400 according to an embodiment of the present application, the apparatus can be applied to the electronic device 100 shown in fig. 1, and includes: a receiving module 410, a selecting module 420, a first obtaining module 430 and an outputting module 440. The principle relationship of the modules is as follows:
the receiving module 410 is configured to receive a user query request, where the user query request carries tag information.
The selecting module 420 is configured to select a target medical resource that meets the label information from a preset medical resource library, and generate a first set.
A first obtaining module 430, configured to obtain an evaluation index value corresponding to the label information for each target medical resource in the first set.
And the output module 440 is configured to output a query result according to the preset recommendation rule and the evaluation index value of each target medical resource.
In one embodiment, the output module 440 is configured to: calculating the recommended value of each target medical resource according to the evaluation index value of each target medical resource; sequencing the target medical resources according to the recommended values; and outputting the sequencing result as a query result.
In an embodiment, the evaluation index value includes a first index value and a second index value corresponding to a preset time period, and the output module 440 is specifically configured to: respectively carrying out logarithm processing on the first index value and the second index value to obtain a first logarithm value and a second logarithm value; and calculating a recommended score according to the first logarithmic value, the second logarithmic value and a preset weight. For a detailed description of the medical resource recommendation device 400, please refer to the description of the related method steps in the above embodiments.
In one embodiment, the medical resource recommendation device 400 further includes: a second obtaining module 450, configured to obtain evaluation data of the medical resource; the searching module 460 is configured to search for a preset tag in the evaluation data and evaluation information corresponding to the preset tag; the first judging module 470 is configured to judge whether the preset tag meets a first preset rule; a second judging module 480, configured to judge whether evaluation information corresponding to the preset tag satisfies a second preset rule when the preset tag satisfies the first preset rule; a synchronization module 490, configured to synchronize the evaluation information to the tag list of the medical resource when the evaluation information corresponding to the preset tag satisfies a second preset rule.
In one embodiment, the synchronization module 490 is configured to: judging whether a preset label exists in the label list or not; if the preset label exists in the label list, updating the evaluation index value of the preset label in the label list according to the evaluation information; and if the preset label does not exist in the label list, adding the preset label and the evaluation index value of the preset label in the label list.
An embodiment of the present invention further provides a storage medium readable by an electronic device, including: a program that, when run on an electronic device, causes the electronic device to perform all or part of the procedures of the methods in the above-described embodiments. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Hard Disk (Hard Disk Drive, abbreviated as HDD), a Solid State Drive (SSD), or the like. The storage medium may also comprise a combination of memories of the kind described above.
In the embodiments provided in the present application, the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s).
In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. The above description is only a preferred embodiment of the present application, and is only for the purpose of illustrating the technical solutions of the present application, and not for the purpose of limiting the present application. Any modification, equivalent replacement, improvement or the like, which would be obvious to one of ordinary skill in the art and would be within the spirit and principle of the present application, should be included within the scope of the present application.
Claims (10)
1. A medical resource recommendation method, comprising:
receiving a user query request, wherein the user query request carries tag information;
selecting target medical resources which accord with the label information from a preset medical resource library to generate a first set;
acquiring an evaluation index value of each target medical resource in the first set, wherein the evaluation index value corresponds to the label information;
and outputting a query result according to a preset recommendation rule and the evaluation index value of each target medical resource.
2. The method of claim 1, further comprising:
acquiring evaluation data of medical resources;
searching for a preset label in the evaluation data and evaluation information corresponding to the preset label;
judging whether the preset label meets a first preset rule or not;
when the preset label meets a first preset rule, judging whether evaluation information corresponding to the preset label meets a second preset rule or not;
and when the evaluation information corresponding to the preset label meets a second preset rule, synchronizing the evaluation information to a label list of the medical resource.
3. The method of claim 2, wherein synchronizing the assessment information to a list of tags for the medical resource comprises:
judging whether the preset tag exists in the tag list or not;
if the preset label exists in the label list, updating the evaluation index value of the preset label in the label list according to the evaluation information;
and if the preset label does not exist in the label list, adding the preset label and the evaluation index value of the preset label in the label list.
4. The method according to claim 1, wherein the outputting the query result according to the preset recommendation rule and the evaluation index value of each target medical resource comprises:
calculating the recommendation score of each target medical resource according to the evaluation index value of each target medical resource;
sequencing the target medical resources according to the recommended scores;
and outputting the sequencing result as the query result.
5. The method according to claim 4, wherein the evaluation index value includes a first index value and a second index value corresponding to a preset time period, and the calculating of the recommended score for each of the target medical resources based on the evaluation index value for each of the target medical resources, respectively, includes:
respectively carrying out logarithmic processing on the first index value and the second index value to obtain a first logarithm value and a second logarithm value;
and calculating the recommendation score according to the first logarithmic value, the second logarithmic value and a preset weight.
6. A medical resource recommendation device, comprising:
the receiving module is used for receiving a user query request, and the user query request carries tag information;
the selecting module is used for selecting target medical resources which accord with the label information from a preset medical resource library to generate a first set;
a first obtaining module, configured to obtain an evaluation index value of each of the target medical resources in the first set, where the evaluation index value corresponds to the tag information;
and the output module is used for outputting a query result according to a preset recommendation rule and the evaluation index value of each target medical resource.
7. The apparatus of claim 6, further comprising:
the second acquisition module is used for acquiring evaluation data of the medical resources;
the searching module is used for searching a preset label in the evaluation data and evaluation information corresponding to the preset label;
the first judgment module is used for judging whether the preset label meets a first preset rule or not;
the second judging module is used for judging whether the evaluation information corresponding to the preset label meets a second preset rule or not when the preset label meets the first preset rule;
and the synchronization module is used for synchronizing the evaluation information to the label list of the medical resource when the evaluation information corresponding to the preset label meets a second preset rule.
8. The apparatus of claim 6, wherein the output module is configured to:
calculating the recommendation score of each target medical resource according to the evaluation index value of each target medical resource;
sequencing the target medical resources according to the recommended scores;
and outputting the sequencing result as the query result.
9. An electronic device, comprising:
a memory to store a computer program;
a processor to perform the method of any one of claims 1 to 5.
10. A non-transitory electronic device readable storage medium, comprising: program which, when run by an electronic device, causes the electronic device to perform the method of any one of claims 1 to 5.
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