CN114520831A - Prescription pushing method, device, terminal and storage medium - Google Patents
Prescription pushing method, device, terminal and storage medium Download PDFInfo
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Abstract
The embodiment of the application provides a prescription pushing method, a device, a terminal and a storage medium, wherein the method comprises the following steps: acquiring first pathological information of a target user; determining a traditional Chinese medicine recommendation model corresponding to the target user according to the first pathological information; determining a first target prescription according to the traditional Chinese medicine recommendation model; sending the first target party to the target user; acquiring second pathological information of the target user, wherein the second pathological information is pathological information of the target user after the target user takes medicine according to the first target prescription; determining a second target prescription according to the second pathological information and the first target prescription; and the second target prescription is sent to the target user, so that corresponding prescription information can be pushed for the user, and the efficiency of the traditional Chinese medicine doctor seeing is improved.
Description
Technical Field
The application relates to the technical field of data processing, in particular to a prescription pushing method, a prescription pushing device, a terminal and a storage medium.
Background
Network medical services such as online inquiry and online medical treatment are becoming more and more the medical treatment options of people. At present, the mainstream of the market is the diagnosis and treatment service of western medicine, but the traditional Chinese medicine diagnosis and treatment is gradually increased, and a plurality of patients with chronic diseases have the requirements of traditional Chinese medicine treatment. However, the development of internet traditional Chinese medicine is limited by various limitations such as the lack of good traditional Chinese medicine resources in the market, unclear qualification of traditional Chinese medicine doctors, and the need of decocting traditional Chinese medicines. Currently, when medical treatment is performed, a user usually visits in a way of directly visiting a traditional Chinese medicine diagnosis and treatment center, so that the efficiency of conventional traditional Chinese medicine visiting is usually low.
Disclosure of Invention
The embodiment of the application provides a prescription pushing method, a prescription pushing device, a terminal and a storage medium, which can push corresponding prescription information for a user, and improve the efficiency of traditional Chinese medicine treatment.
A first aspect of an embodiment of the present application provides a recipe pushing method, where the method includes:
acquiring first pathological information of a target user;
determining a traditional Chinese medicine recommendation model corresponding to the target user according to the first pathological information;
determining a first target prescription according to the traditional Chinese medicine recommendation model;
sending the target prescription to the target user;
acquiring second pathological information of the target user, wherein the second pathological information is pathological information of the target user after the target user takes medicine according to the first target prescription;
determining a second target prescription according to the second pathological information and the first target prescription;
and sending the second target prescription to the target user.
A second aspect of embodiments of the present application provides a prescription pushing apparatus, including:
the first acquisition unit is used for acquiring first pathological information of a target user;
the first determining unit is used for determining a traditional Chinese medicine recommendation model corresponding to the target user according to the first pathological information;
The second determining unit is used for determining a first target prescription according to the traditional Chinese medicine recommendation model;
the first sending unit is used for sending the target prescription to the target user;
the second acquisition unit is used for acquiring second pathological information of the target user, wherein the second pathological information is the pathological information of the target user after the target user takes the medicine according to the first target prescription;
a third determination unit, configured to determine a second target prescription according to the second pathology information and the first target prescription;
a second sending unit for sending the second target party to the target user
A third aspect of the embodiments of the present application provides a terminal, including a processor, an input device, an output device, and a memory, where the processor, the input device, the output device, and the memory are connected to each other, where the memory is used to store a computer program, and the computer program includes program instructions, and the processor is configured to call the program instructions to execute the step instructions in the first aspect of the embodiments of the present application.
A fourth aspect of embodiments of the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, where the computer program makes a computer perform part or all of the steps as described in the first aspect of embodiments of the present application.
A fifth aspect of embodiments of the present application provides a computer program product, wherein the computer program product comprises a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps as described in the first aspect of embodiments of the present application. The computer program product may be a software installation package.
The embodiment of the application has at least the following beneficial effects:
the method comprises the steps of obtaining first pathological information of a target user, determining a traditional Chinese medicine recommendation model corresponding to the target user according to the first pathological information, determining a first target prescription according to the traditional Chinese medicine recommendation model, sending the target prescription to the target user, obtaining second pathological information of the target user, wherein the second pathological information is pathological information of the target user after the target user takes medicine according to the first target prescription, determining a second target prescription according to the second pathological information and the first target prescription, and sending the second target prescription to the target user.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic flow chart diagram illustrating a recipe pushing method according to an embodiment of the present application;
FIG. 2 is a schematic flow chart diagram illustrating another recipe pushing method provided in an embodiment of the present application;
fig. 3 is a schematic structural diagram of a terminal according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a prescription-pushing device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference in the specification to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the specification. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
Referring to fig. 1, fig. 1 is a schematic flow chart illustrating a prescription pushing method according to an embodiment of the present disclosure. As shown in fig. 1, the method is applied to a traditional Chinese medicine intelligent diagnosis and treatment system, and comprises the following steps:
101. First pathological information of a target user is obtained.
The intelligent traditional Chinese medicine diagnosis and treatment system may include historical diagnosis and treatment information of a user, for example, data generated in the process of diagnosis and treatment of a patient, including basic data, an electronic medical record, diagnosis and treatment data, medical image data, and the like of the patient. A series of service databases can be established in the diagnosis and treatment system to form a unified management information integration platform. The intelligent traditional Chinese medicine diagnosis and treatment system can be applied to terminal equipment, clients, servers and the like.
The traditional Chinese medicine intelligent diagnosis and treatment system can organize the whole process data of a patient, including holographic diagnosis, etiology, prescription and other structured data in a cloud database. With the increasing perfection and popularization of traditional Chinese medicine data structuring, the medication of diagnosis and treatment schemes (prescription information and the like) recommended by the system is adjusted on the basis of structured electronic medical records, objective instruments, standardized data acquisition means, reference experts and classical roll experiences, the diagnosis and treatment habits of users are recorded by the system, and a traditional Chinese medicine recommendation model in a traditional Chinese medicine artificial intelligence system is continuously optimized and constructed according to curative effect feedback.
The traditional Chinese medicine intelligent diagnosis and treatment system can also recommend traditional Chinese medicine health care such as medical care, massage, acupuncture and moxibustion to sub-health people, and dialectical recommendation of diet from the perspective of traditional Chinese medicine.
The method for acquiring the first pathological information of the target user may be a method in which the target user inputs the first pathological information, may also be a method in which the first pathological information is input to the intelligent diagnosis and treatment system of traditional Chinese medicine after the traditional Chinese medicine diagnosis and treatment, and may also be a method in which the image of the target user is acquired in an image acquisition manner, and the first pathological information is acquired by performing pathological analysis on the image of the target user. The pathological information may include disease information, historical diagnosis and treatment information, user status information, and the like.
102. And determining a traditional Chinese medicine recommendation model corresponding to the target user according to the first pathological information.
The pathological image of the target user can be determined according to the first pathological information, and then the traditional Chinese medicine recommendation model is determined according to the pathological image. Or determining a pathology portrait of the target user and behavior information of an associated user associated with the target user according to the first pathology information to determine a traditional Chinese medicine recommendation model. The pathology image can be understood as a user image created by the information of the user related to the disease through a preset rule. The preset rule is set by an empirical value or historical data. For example, the pathology image may be constructed based on user information of a user, medical data of a hospital, and the like.
The traditional Chinese medicine recommendation model can recommend a corresponding prescription according to the pathological information of the target user. The traditional Chinese medicine recommendation model can be a pre-trained model, the training samples can be pathological information and prescription information, and the initial model is trained based on the training samples, so that the traditional Chinese medicine recommendation model is obtained after the corresponding loss function is converged.
103. And determining a first target prescription according to the traditional Chinese medicine recommendation model.
The first pathological information can be input into a traditional Chinese medicine recommendation model for calculation, so that a first target prescription is obtained. The first target prescription is a prescription corresponding to the first pathological information for treating a disease corresponding to the first pathological information.
104. And sending the first target prescription to the target user.
The first target prescription can be sent to the target user by sending the first target prescription to the electronic equipment of the target user, or the first target prescription can be sent to the target user by an electronic mail, or the first target prescription can be sent to the target user by a short message, and the like. Of course, the first target prescription may also be sent to the target user by other conventional sending methods, and is not limited in particular.
105. And acquiring second pathological information of the target user, wherein the second pathological information is the pathological information of the target user after the target user takes the medicine according to the first target prescription.
The method for acquiring the second pathological information may refer to the method for acquiring the first pathological information in the foregoing steps, and is not described herein again. The pathological information after the medicine is taken according to the first target prescription can be understood as the pathological information of the target user after the medicine is purchased according to the first target prescription and reused. The second pathology information may be the same as the first pathology information or may be different from the first pathology information. If the second pathological information is the same as the first pathological information, it can be understood that the condition of the patient corresponding to the first pathological information cannot be alleviated or improved after the target user takes the medicine according to the first target prescription.
106. And determining a second target prescription according to the second pathological information and the first target prescription.
The first target prescription may be corrected based on difference information between the second pathology information and the first pathology information, thereby obtaining a second target prescription.
The drug effect of the drug corresponding to the first target prescription is tracked through the second pathological information and fed back to the first target prescription to obtain the second target prescription, so that the accuracy of prescription recommendation can be improved.
107. And sending the second target prescription to the target user.
The method for sending the second target prescription to the target user may refer to the method for sending the first target prescription to the target user in the foregoing steps, and will not be described herein again.
In this example, a first pathological information of a target user is obtained, a traditional Chinese medicine recommendation model corresponding to the target user is determined according to the first pathological information, a first target prescription is determined according to the traditional Chinese medicine recommendation model, the target prescription is sent to the target user, second pathological information of the target user is obtained, the second pathological information is pathological information after the target user takes medicine according to the first target prescription, a second target prescription is determined according to the second pathological information and the first target prescription, and the second target prescription is sent to the target user, so that the prescription can be pushed to the user in an intelligent recommendation manner when the user visits a traditional Chinese medicine, and the efficiency of the user in visiting a doctor is improved.
In one possible implementation manner, a possible method for determining a traditional Chinese medicine recommendation model corresponding to the target user according to the first pathological information includes:
A1, acquiring a first pathology type of the first pathology information;
a2, acquiring a first pathology image of the target user according to the mapping relation between the first pathology type and the pathology image;
a3, determining the traditional Chinese medicine recommendation model according to the mapping relation between the first pathology portrait and the traditional Chinese medicine recommendation model.
Keyword extraction can be carried out on the first pathological information to obtain a keyword set; a first pathology type is determined from the set of keywords. The method for extracting keywords from the first pathological information may be a conventional keyword extraction algorithm, and the keywords may be keywords related to diseases, for example, words described by disease symptoms, such as fever, headache, joint pain, and the like.
Determining a target keyword group according to the importance degree of the keywords in the keyword set; and determining a first pathological type according to the target keyword group. Different keywords have different importance degrees, and the keyword with the highest importance degree can be determined as the target keyword. For example, if the keywords include fever, headache, dizziness, dim eyesight, etc., the importance level of the keyword headache is higher than that of the dim eyesight, and the importance levels of fever, headache, and dizziness are the same, the fever, headache, and dizziness can be determined as the keywords in the target keyword group. Different keyword groups correspond to different pathological types, and the first pathological type can be determined according to the mapping relation between the keyword groups and the pathological types.
The target user may have a plurality of pathology images corresponding to a type of pathology for the user, such that a first pathology image may be determined based on a first type of pathology. The mapping relation between the first pathology type and the pathology portrait is set through empirical values or historical data. A plurality of traditional Chinese medicine recommendation models exist in the traditional Chinese medicine intelligent diagnosis and treatment system, one traditional Chinese medicine recommendation model can correspond to a plurality of pathological images, so that the traditional Chinese medicine recommendation model corresponding to the first pathological image can be obtained, and the mapping relation between the first pathological image and the traditional Chinese medicine recommendation model is set through experience values or historical data.
In this example, the first pathology type is determined according to the first pathology information, the first pathology image is determined according to the first pathology type, and the traditional Chinese medicine recommendation model is determined according to the first pathology image, so that the accuracy of the traditional Chinese medicine recommendation model in determination is improved.
In one possible implementation manner, another possible method for determining a traditional Chinese medicine recommendation model corresponding to the target user according to the first pathological information includes:
b1, acquiring a first pathology type of the first pathology information;
b2, acquiring a second pathology image of the target user according to the first pathology type;
B3, acquiring associated users of the target user, wherein the associated users comprise users who have contact with the target user within a preset time interval;
b4, acquiring the behavior information of the associated user;
b5, determining the association degree between the target user and the associated user according to the behavior information;
b6, determining the traditional Chinese medicine recommendation model according to the second pathology image and the correlation degree.
The steps B1-B2 may refer to specific implementation manners of the steps a1-a2 in the foregoing embodiments. The method for acquiring the associated user of the target user may be: and obtaining the activity track of the target user in a preset time interval, and determining the associated user according to the activity track. For example, a user whose contact degree of the activity track and the target user is higher than a preset threshold may be determined as the associated user, and specifically, for example, the associated user may be a user who looks at the target user within a preset time interval, for a relative of the target user. The preset threshold may be set by empirical values or historical data.
The behavior information of the associated user includes medicine taking, medicine decocting, caring for and the like for the target user, and it can be determined that the association degree between the associated user and the target user is high.
The behavior information of the associated user can reflect the degree of association between the associated user and the target user, and the method for determining the traditional Chinese medicine recommendation model according to the second pathology portrait and the behavior information can be as follows: and determining a traditional Chinese medicine recommendation model according to the association degree between the associated user and the target user represented by the second pathology image and the behavior information. Different second pathology images and different traditional Chinese medicine recommendation models correspond to different association degrees, so that the traditional Chinese medicine recommendation model corresponding to the first pathology information can be determined.
Certainly, the traditional Chinese medicine recommendation model can also be determined directly according to the second pathology image and the behavior information. Different second pathological images and behavior information correspond to different traditional Chinese medicine recommendation models, and the behavior information is used for representing correction information for determining the traditional Chinese medicine recommendation models. For example, a plurality of traditional Chinese medicine recommendation models can be determined according to the second pathology image, and then a corresponding traditional Chinese medicine recommendation model can be screened out from the plurality of traditional Chinese medicine recommendation models according to the behavior information. Specifically, the degree of engagement between the behavior information and the traditional Chinese medicine recommendation model can be determined, and the traditional Chinese medicine recommendation model with high degree of engagement is determined as the traditional Chinese medicine recommendation model corresponding to the first pathological information. The conformity between the behavior information and the traditional Chinese medicine recommendation model can be understood as the conformity between the behavior information and different traditional Chinese medicine recommendation models, so that the traditional Chinese medicine recommendation model corresponding to the first pathological information can be determined according to the behavior information.
In this example, the traditional Chinese medicine recommendation model is determined through the behavior information of the associated user associated with the target user and the second pathology portrait of the target user, so that the accuracy of the traditional Chinese medicine recommendation model is improved.
In one possible implementation, a possible method for determining a second target prescription based on the second pathology information and the first target prescription includes:
c1, acquiring a difference information set between the second pathological information and the first pathological information;
c2, determining prescription correction information according to the type of the difference information in the difference information set;
and C3, correcting the first target prescription according to the prescription correction information, and determining the second target prescription.
The second pathology information and the first pathology information may be compared to determine a difference information set. The comparison method may be a general comparison method, such as a word-by-word comparison method, a word segmentation comparison method, and the like.
The prescription correction information may be determined based on the type of difference information in the set of difference information.
The first target prescription may be modified according to the prescription modification information to obtain a second target prescription, and when the first target prescription is modified by using the prescription modification information, the medicine information may be determined according to the prescription modification information, and the corresponding medicine in the first target prescription is replaced according to the medicine information to obtain the second target prescription. Different prescription correction information corresponds to different drug action information, for example, if the prescription correction information indicates that the drug action is increased, the drug type corresponding to the prescription correction information in the first target prescription can be obtained, and a drug with a drug effect higher than that of the drug corresponding to the prescription correction information in the first target prescription can be obtained from the drug type and determined as the drug corresponding to the prescription correction information. Thereby performing the replacement process. Of course, if the prescription correction information indicates that the drug action is reduced, a drug with a low drug effect is obtained.
The first target prescription is corrected by the determined prescription correction information through the difference information set between the second pathological information and the first pathological information, so that the second target prescription is determined, and the accuracy of determining the second target prescription is improved.
In one possible implementation, a possible method for determining prescription correction information according to the difference information set includes:
d1, determining the type information of each difference information in the difference information set to obtain K target types;
d2, acquiring pathological grades corresponding to the K target types;
d3, determining correction degree information of prescription information corresponding to the K target types in the first target prescription according to the pathological grades corresponding to the K target types;
d4, combining the correction degree information and the difference information in the difference information set to obtain the prescription correction information.
One target category can correspond to a plurality of difference information, and the difference information carries identification information of the difference information, so that the corresponding target category can be determined according to the identification information.
Different target types correspond to different pathological grades, and different pathological grades correspond to different correction degree information, for example, if the pathological grade is high, the correction indicated by the correction degree information is more, and if the pathological grade is low, the correction indicated by the correction degree information is lower. The more correction indicated by the correction degree information is understood to mean, for example, the more the drug effect increases or decreases.
The method for determining the prescription correction information according to the correction degree information and the difference information may be: and correspondingly processing the difference information and the correction degree information to obtain prescription correction information. The correction degree information and the difference information may also be combined to obtain prescription correction information.
In this example, the pathological grade is determined according to the type of the difference information in the difference information set, the correction degree information is determined according to the pathological grade, and the prescription correction information is determined according to the correction degree information and the difference information, so that the accuracy of the prescription correction by using the prescription correction information subsequently is higher.
In a possible implementation manner, the embodiment of the present application may further perform pushing of a traditional Chinese medicine diagnosis and treatment mechanism on a target user, which specifically may be:
e1, acquiring the position information of the target user;
e2, acquiring the traditional Chinese medicine diagnosis and treatment mechanisms within the preset range of the position indicated by the position information to obtain at least one traditional Chinese medicine diagnosis and treatment mechanism;
e3, acquiring service information of the at least one traditional Chinese medicine diagnosis and treatment institution;
e4, determining the service information of at least one TCM diagnosis and treatment institution including the drug information in the first target prescription as the target TCM diagnosis and treatment institution corresponding to the target user;
E5, sending the service information of the target traditional Chinese medicine diagnosis and treatment institution to the target user.
The location information of the target user may be an address, a company, and the like of the target user. The at least one doctor may be determined as the doctor within a preset range of the position indicated by the position information. The traditional Chinese medicine diagnosis and treatment institution can comprise a hospital, a traditional Chinese medicine clinic, a traditional Chinese medicine physical therapy center and the like. The preset range is set by empirical values or historical data.
The service information of the doctor of traditional chinese medical science may include specific information of the service, for example, whether or not decocting, delivering, etc. may be performed. Of course, the information may also include the service information of whether acupuncture and moxibustion, massage and the like can be performed.
Whether the service information of the traditional Chinese medicine diagnosis and treatment institution includes the medicine or physical therapy information can be determined according to the medicine or physical therapy information in the first target prescription, so that the traditional Chinese medicine diagnosis and treatment institution including the medicine or physical therapy information in the first target prescription is determined as the target traditional Chinese medicine diagnosis and treatment institution. Of course, if a plurality of target TCM diagnosis and treatment institutions are determined, the TCM diagnosis and treatment institution closest to the target user can be determined as the target TCM diagnosis and treatment institution.
The method for sending the service information of the target medical institution to the target user may refer to the sending method in the foregoing embodiment, and details are not described here.
In a possible implementation manner, the embodiment of the present application may further perform community pushing on the user, which specifically includes:
f1, determining the patients belonging to the first pathological type as a traditional Chinese medicine patient community;
f2, sending the Chinese medicine disease community to the target user.
Different pathological types correspond to different Chinese medicine affected communities, so that the Chinese medicine affected community corresponding to the first pathological information can be determined.
The method for sending the community suffering from the disease of traditional Chinese medicine to the target user may refer to the sending method in the foregoing embodiment, and details are not repeated here.
In one possible implementation, the patient image can be constructed according to patient information and hospital diagnosis and treatment data. Analyzing different patient data, adding patient labels with main categories and categories not in the system, and establishing patient portrait data trousers. Therefore, the diagnosis and treatment information of the user and the like are managed in a standardized way.
Referring to fig. 2, fig. 2 is a schematic flow chart illustrating another recipe pushing method according to an embodiment of the present application. As shown in fig. 2, the method is applied to a traditional Chinese medicine intelligent diagnosis and treatment system, and comprises the following steps:
201. Acquiring first pathological information of a target user;
202. acquiring a first pathology type of the first pathology information;
203. acquiring a second pathology portrait of the target user according to the first pathology type;
204. acquiring associated users of the target user, wherein the associated users comprise users who contact the target user within a preset time interval;
205. acquiring behavior information of the associated user;
206. determining the traditional Chinese medicine recommendation model according to the second pathology image and the behavior information;
207. determining a first target prescription according to the traditional Chinese medicine recommendation model;
208. sending the first target party to the target user;
209. acquiring second pathological information of the target user, wherein the second pathological information is pathological information of the target user after the target user takes medicine according to the first target prescription;
210. determining a second target prescription according to the second pathological information and the first target prescription;
211. and sending the second target prescription to the target user.
In this example, the traditional Chinese medicine recommendation model is determined through the behavior information of the associated user associated with the target user and the second pathology portrait of the target user, so that the accuracy of the traditional Chinese medicine recommendation model is improved.
In accordance with the foregoing embodiments, please refer to fig. 3, fig. 3 is a schematic structural diagram of a terminal according to an embodiment of the present application, and as shown in the drawing, the terminal includes a processor, an input device, an output device, and a memory, and the processor, the input device, the output device, and the memory are connected to each other, where the memory is used to store a computer program, the computer program includes program instructions, the processor is configured to call the program instructions, and the program includes instructions for performing the following steps;
acquiring first pathological information of a target user;
determining a traditional Chinese medicine recommendation model corresponding to the target user according to the first pathological information;
determining a first target prescription according to the traditional Chinese medicine recommendation model;
sending the first target party to the target user;
acquiring second pathological information of the target user, wherein the second pathological information is pathological information of the target user after the target user takes medicine according to the first target prescription;
determining a second target prescription according to the second pathological information and the first target prescription;
and sending the second target prescription to the target user.
The above description has introduced the solution of the embodiment of the present application mainly from the perspective of the method-side implementation process. It is understood that the terminal includes corresponding hardware structures and/or software modules for performing the respective functions in order to implement the above-described functions. Those of skill in the art will readily appreciate that the present application is capable of hardware or a combination of hardware and computer software implementing the various illustrative elements and algorithm steps described in connection with the embodiments provided herein. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiment of the present application, the terminal may be divided into the functional units according to the method example, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing unit. The integrated unit may be implemented in the form of hardware, or may also be implemented in the form of a software functional unit. It should be noted that the division of the unit in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
In accordance with the above, please refer to fig. 4, fig. 4 is a schematic structural diagram of a prescription pushing device according to an embodiment of the present application. As shown in fig. 4, the apparatus includes:
a first obtaining unit 401, configured to obtain first pathological information of a target user;
a first determining unit 402, configured to determine, according to the first pathological information, a traditional Chinese medicine recommendation model corresponding to the target user;
a second determining unit 403, configured to determine a first target prescription according to the traditional Chinese medicine recommendation model;
a first sending unit 404, configured to send the first target party to the target user;
a second obtaining unit 405, configured to obtain second pathological information of the target user, where the second pathological information is pathological information of the target user after the target user takes a medicine according to the first target prescription;
A third determining unit 406, configured to determine a second target prescription according to the second pathology information and the first target prescription;
a second sending unit 407, configured to send the second target party to the target user.
In one possible implementation, the first determination unit 402 is configured to:
acquiring a first pathology type of the first pathology information;
acquiring a first pathology portrait of the target user according to the first pathology type;
and determining the traditional Chinese medicine recommendation model according to the first pathology portrait.
In one possible implementation, the first determination unit 402 is configured to:
acquiring a first pathology type of the first pathology information;
acquiring a second pathological portrait of the target user according to the first pathological type;
acquiring associated users of the target user, wherein the associated users comprise users who contact the target user within a preset time interval;
acquiring behavior information of the associated user;
and determining the traditional Chinese medicine recommendation model according to the second pathology image and the behavior information.
In one possible implementation manner, the third determining unit 406 is configured to:
acquiring a difference information set between the second pathological information and the first pathological information;
Determining prescription correction information according to the difference information set;
and determining the second target prescription according to the prescription correction information and the first target prescription.
In one possible implementation manner, in the determining of the prescription correction information according to the difference information set, the third determining unit 406 is configured to:
determining type information of each difference information in the difference information set to obtain K target types;
acquiring pathological grades corresponding to the K target types;
determining correction degree information of prescription information corresponding to the K target types in the first target prescription according to pathological levels corresponding to the K target types;
and determining the prescription correction information according to the correction degree information and the difference information in the difference information set.
In one possible implementation, the apparatus is further configured to:
acquiring the position information of the target user;
determining at least one traditional Chinese medicine diagnosis and treatment institution according to the position information;
acquiring service information of the at least one traditional Chinese medicine diagnosis and treatment institution;
determining a target traditional Chinese medicine diagnosis and treatment mechanism corresponding to the target user from the at least one traditional Chinese medicine diagnosis and treatment mechanism according to the first target prescription and the service information of the at least one traditional Chinese medicine diagnosis and treatment mechanism;
And sending the service information of the target traditional Chinese medicine diagnosis and treatment institution to the target user.
In one possible implementation, the apparatus is further configured to:
determining a community of traditional Chinese medicine patients according to the first pathological type;
and sending the community suffering from the traditional Chinese medicine to the target user.
Embodiments of the present application also provide a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to execute part or all of the steps of any one of the recipe push methods as described in the above method embodiments.
Embodiments of the present application also provide a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program causes a computer to execute part or all of the steps of any one of the prescription push methods as described in the above method embodiments.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to the related descriptions of other embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implementing, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit may be implemented in the form of hardware, or may be implemented in the form of a software program module.
The integrated units, if implemented in the form of software program modules and sold or used as stand-alone products, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method described in the embodiments of the present application. And the aforementioned memory comprises: various media capable of storing program codes, such as a usb disk, a read-only memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and the like.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash memory disks, read-only memory, random access memory, magnetic or optical disks, and the like.
The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (10)
1. A prescription push method, the method comprising:
acquiring first pathological information of a target user;
determining a traditional Chinese medicine recommendation model corresponding to the target user according to the first pathological information;
determining a first target prescription according to the traditional Chinese medicine recommendation model;
sending the first target party to the target user;
Acquiring second pathological information of the target user, wherein the second pathological information is the pathological information of the target user after the target user takes the medicine according to the first target prescription;
determining a second target prescription according to the second pathological information and the first target prescription;
and sending the second target prescription to the target user.
2. The method of claim 1, wherein determining a traditional Chinese medicine recommendation model corresponding to the target user according to the first pathological information comprises:
acquiring a first pathology type of the first pathology information;
acquiring a first pathology portrait of the target user according to the mapping relation between the first pathology type and the pathology portrait;
and determining the traditional Chinese medicine recommendation model according to the mapping relation between the first pathology image and the traditional Chinese medicine recommendation model.
3. The method according to claim 1, wherein the determining a traditional Chinese medicine recommendation model corresponding to the target user according to the first pathological information comprises:
acquiring a first pathology type of the first pathology information;
acquiring a second pathological portrait of the target user according to the first pathological type;
Acquiring associated users of the target user, wherein the associated users comprise users who contact the target user within a preset time interval;
acquiring behavior information of the associated user;
determining the association degree between the target user and the associated user according to the behavior information;
and determining the traditional Chinese medicine recommendation model according to the second pathology image and the association degree.
4. The method of any of claims 1-3, wherein determining a second target prescription based on the second pathology information and the first target prescription comprises:
acquiring a difference information set between the second pathological information and the first pathological information;
determining prescription correction information according to the type of the difference information in the difference information set;
and correcting the first target prescription according to the prescription correction information, and determining the second target prescription.
5. The method of claim 4, wherein determining prescription correction information from the set of difference information comprises:
determining type information of each difference information in the difference information set to obtain K target types;
Acquiring pathological grades corresponding to the K target types;
determining correction degree information of prescription information corresponding to the K target types in the first target prescription according to pathological levels corresponding to the K target types;
and combining the correction degree information and the difference information in the difference information set to obtain the prescription correction information.
6. The method of claim 5, further comprising:
acquiring the position information of the target user;
acquiring traditional Chinese medicine diagnosis and treatment mechanisms within a preset range of the position indicated by the position information to obtain at least one traditional Chinese medicine diagnosis and treatment mechanism;
acquiring service information of the at least one traditional Chinese medicine diagnosis and treatment institution;
determining at least one TCM diagnosis and treatment institution whose service information includes the drug information in the first target prescription as a target TCM diagnosis and treatment institution corresponding to the target user;
and sending the service information of the target traditional Chinese medicine diagnosis and treatment institution to the target user.
7. A method according to claim 2 or 3, characterized in that the method further comprises:
determining the patients belonging to the first pathological type as a traditional Chinese medicine patient community;
And sending the community suffering from the traditional Chinese medicine to the target user.
8. A prescription-pushing apparatus, the apparatus comprising:
the first acquisition unit is used for acquiring first pathological information of a target user;
the first determining unit is used for determining a traditional Chinese medicine recommendation model corresponding to the target user according to the first pathological information;
the second determination unit is used for determining a first target prescription according to the traditional Chinese medicine recommendation model;
a first sending unit, configured to send the first target party to the target user;
the second acquisition unit is used for acquiring second pathological information of the target user, wherein the second pathological information is the pathological information of the target user after the target user takes the medicine according to the first target prescription;
a third determination unit, configured to determine a second target prescription according to the second pathology information and the first target prescription;
a second sending unit, configured to send the second target party to the target user.
9. A terminal, comprising a processor, an input device, an output device, and a memory, the processor, the input device, the output device, and the memory being interconnected, wherein the memory is configured to store a computer program comprising program instructions, the processor being configured to invoke the program instructions to perform the method of any of claims 1-7.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program comprising program instructions that, when executed by a processor, cause the processor to carry out the method according to any one of claims 1-7.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210142213.2A CN114520831B (en) | 2022-02-16 | Prescription pushing method, device, terminal and storage medium |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210142213.2A CN114520831B (en) | 2022-02-16 | Prescription pushing method, device, terminal and storage medium |
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