Construction method, system and equipment of traditional Chinese medicine decoction parameter data set and storage medium

Abstract

The invention discloses a traditional Chinese medicine decoction parameter data set construction method, system and device and a storage medium, and relates to the technical field of traditional Chinese medicine informatization management and intelligent application, and the method comprises the steps: determining the specific numerical range of a plurality of traditional Chinese medicine decoction target parameters and a plurality of target operation specifications of traditional Chinese medicine decoction; and associating the plurality of traditional Chinese medicine decoction target parameters, the plurality of target operation specifications and the decoction efficacy of each traditional Chinese medicine to construct a traditional Chinese medicine decoction parameter data set. According to the method, the specific numerical range of a plurality of traditional Chinese medicine decoction target parameters and a plurality of target operation specifications of traditional Chinese medicine decoction are determined, the traditional Chinese medicine decoction accuracy can be greatly improved, manual operation errors are reduced, the constructed traditional Chinese medicine decoction parameter data set provides support for standardization of the traditional Chinese medicine field, and the traditional Chinese medicine decoction accuracy is improved. And scientization, standardization and intelligentization of a traditional Chinese medicine decoction method are promoted.

Description

Background Art

[0002] In traditional Chinese medicine, the decocting method of medicinal materials has an important impact on the efficacy of the medicine. Changes in parameters such as different decocting methods, times, and sequences will significantly change the final effect of the medicine. The existing traditional Chinese medicine decocting data sets are mainly based on traditional books and empirical inheritance, and have not yet formed a unified, comprehensive, and systematic data set, resulting in problems such as the lack of standardized and scientific language support in clinical applications, education and training, and scientific research work. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide a construction method, system, device, and storage medium for a traditional Chinese medicine decocting parameter data set in view of the deficiencies of the prior art, specifically as follows:

[0004] 1) In the first aspect, the present invention provides a construction method for a traditional Chinese medicine decocting parameter data set, and the specific technical solution is as follows:

[0005] Determine the specific numerical ranges of multiple traditional Chinese medicine decocting target parameters and multiple target operation specifications for traditional Chinese medicine decocting;

[0006] Associate multiple traditional Chinese medicine decocting target parameters, multiple target operation specifications, and the decocting efficacy of each traditional Chinese medicine to construct a traditional Chinese medicine decocting parameter data set.

[0007] The beneficial effects of the construction method for a traditional Chinese medicine decocting parameter data set provided by the present invention are as follows:

[0008] By clarifying the specific numerical ranges of multiple traditional Chinese medicine decocting target parameters and multiple target operation specifications for traditional Chinese medicine decocting, the accuracy of traditional Chinese medicine decocting can be greatly improved, and human operation errors can be reduced. Moreover, the constructed traditional Chinese medicine decocting parameter data set provides support for the standardization in the field of traditional Chinese medicine, and promotes the scientific, standardized, and intelligent traditional Chinese medicine decocting methods.

[0009] On the basis of the above solution, the construction method for a traditional Chinese medicine decocting parameter data set of the present invention can also be improved as follows.

[0010] Further, it further includes:

[0011] Perform multi-dimensional data query on the traditional Chinese medicine decocting parameter data set through a visual interface.

[0012] The beneficial effect of adopting the above further solution is that it is convenient for traditional Chinese medicine practitioners, scholars, and other users to perform data query and management through the visual interface.

[0013] Further, it further includes:

[0014] Based on the traditional Chinese medicine decocting parameter data set, train a preset deep learning model to obtain a traditional Chinese medicine decocting method recommendation model;

[0015] Recommend a traditional Chinese medicine decocting method by using a traditional Chinese medicine decocting method recommendation model.

[0016] Furthermore, it further includes:

[0017] Optimize the traditional Chinese medicine decocting method recommendation model.

[0018] The beneficial effect of adopting the above further solution is: It can improve the accuracy and applicability of the recommended traditional Chinese medicine decocting method.

[0019] 2) In the second aspect, the present invention also provides a construction system for a traditional Chinese medicine decocting parameter dataset. The specific technical solution is as follows:

[0020] It includes a data determination module and an association module;

[0021] The data determination module is used to: determine the specific numerical ranges of multiple traditional Chinese medicine decocting target parameters and multiple target operation specifications for traditional Chinese medicine decocting;

[0022] The association module is used to: associate multiple traditional Chinese medicine decocting target parameters, multiple target operation specifications, and the decocting efficacy of each traditional Chinese medicine to construct a traditional Chinese medicine decocting parameter dataset.

[0023] On the basis of the above solution, a construction system for a traditional Chinese medicine decocting parameter dataset of the present invention can also be improved as follows.

[0024] Furthermore, it further includes a data query module. The data query module is used to: perform multi-dimensional data query on the traditional Chinese medicine decocting parameter dataset through a visual interface.

[0025] Furthermore, it further includes a model training module and a traditional Chinese medicine decocting method recommendation module;

[0026] The model training module is used to: train a preset deep learning model based on the traditional Chinese medicine decocting parameter dataset to obtain a traditional Chinese medicine decocting method recommendation model;

[0027] The traditional Chinese medicine decocting method recommendation module is used to: recommend a traditional Chinese medicine decocting method by using the traditional Chinese medicine decocting method recommendation model.

[0028] Furthermore, it further includes a model optimization module. The model optimization module is used to: optimize the traditional Chinese medicine decocting method recommendation model.

[0029] 3) In the third aspect, the present invention also provides an electronic device. The electronic device includes a processor. The processor is coupled with a memory. At least one computer program is stored in the memory. The at least one computer program is loaded and executed by the processor so that the electronic device implements any one of the above traditional Chinese medicine decocting parameter dataset construction methods.

[0030] 4) Fourthly, the present invention also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the construction method of any one of the above-mentioned traditional Chinese medicine decocting parameter data sets is implemented.

[0031] It should be noted that for the beneficial effects obtained by the technical solutions of the second to fourth aspects of the present invention and the corresponding possible implementation manners, reference may be made to the technical effects of the first aspect and its corresponding possible implementation manners described above, and details will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments of the present invention:

[0033] Figure 1 It is a flowchart of a method for constructing a traditional Chinese medicine decocting parameter data set according to an embodiment of the present invention;

[0034] Figure 2 It is a recommended schematic diagram of a traditional Chinese medicine decocting method;

[0035] Figure 3 It is a schematic structural diagram of a system for constructing a traditional Chinese medicine decocting parameter data set according to an embodiment of the present invention;

[0036] Figure 4 It is a schematic structural diagram of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0037] The principles and features of the present invention will be described below. The examples given are only for explaining the present invention and are not intended to limit the scope of the present invention.

[0038] The technical solutions of the present invention and how the technical solutions of the present invention solve the above technical problems will be described in detail below with specific embodiments. These several specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present invention will be described below with reference to the drawings.

[0039] As Figure 1 shown, a method for constructing a traditional Chinese medicine decocting parameter data set according to an embodiment of the present invention includes the following steps:

[0040] S1. Determine the specific numerical ranges of multiple traditional Chinese medicine decocting target parameters and multiple target operation specifications for traditional Chinese medicine decocting.

[0041] Among them, the multiple traditional Chinese medicine decocting target parameters and multiple target operation specifications are determined by the following methods:

[0042] S10. Collect multiple traditional Chinese medicine decocting parameters, the description information of each traditional Chinese medicine decocting parameter, multiple initial operation specifications, and the description information of each operation specification through multiple channels such as literature research, classic traditional Chinese medicine books, and interviews with traditional Chinese medicine experts;

[0043] Among them, the traditional Chinese medicine decocting target parameters include: decocting duration, slow fire, medium fire, strong fire, urgent fire, fierce fire, etc., and multiple operation specifications include: decocting the first drug first, pure water, well water, spring water, adding later, wrapping for decocting, melting for decocting, ceramic pot, earthenware pot, decocting separately, decocting alone, and stewing separately, etc.

[0044] It should be noted that the description information of some traditional Chinese medicine decocting target parameters is the corresponding name. For example, the description information of slow fire is "slow fire", and the description information of strong fire is "strong fire", etc. The description information can also include the specific temperature range set for slow fire, etc. Similarly, the description information of some operation specifications is the corresponding name. For example, the description information of wrapping for decocting is "wrapping for decocting", etc. The description information can also include the specific expression of the process of wrapping for decocting.

[0045] S11. Conduct a similarity analysis on the description information of multiple traditional Chinese medicine decocting parameters to determine multiple traditional Chinese medicine decocting target parameters, and after conducting a similarity analysis on the description information of each operation specification, obtain multiple target operation specifications.

[0046] Since among the multiple traditional Chinese medicine decocting initial parameters and initial operation specifications collected through multiple channels such as literature research, classic traditional Chinese medicine books, and interviews with traditional Chinese medicine experts, there are often situations where the same meaning is represented by different description information. For example, "slow fire" and "medium fire" represent the same meaning, and "fierce fire", "strong fire", "raging fire", and "urgent fire" also represent the same meaning. For example, "decocting separately", "decocting alone", and "stewing separately" represent the same meaning. To obtain a scientific and standardized traditional Chinese medicine decocting parameter data set, a similarity analysis is required to obtain multiple traditional Chinese medicine decocting parameter groups and multiple operation specification groups. The similarity between every two traditional Chinese medicine decocting parameters in each traditional Chinese medicine decocting parameter group is higher than the first preset similarity threshold, and the similarity between the operation specifications in each operation specification group is higher than the second preset similarity threshold. Then, retain one traditional Chinese medicine decocting parameter in each traditional Chinese medicine decocting parameter group as the traditional Chinese medicine decocting target parameter, and retain one operation specification in each operation specification group as the target operation specification.

[0047] Among them, multiple traditional Chinese medicine decocting target parameters include: decocting duration, slow fire, and fierce fire, etc., and multiple target operation specifications include: decocting the first drug first, pure water, well water, spring water, adding later, wrapping for decocting, melting for decocting, ceramic pot, earthenware pot, etc.

[0048] Among them, the process of conducting a similarity analysis on the description information is as follows:

[0049] 1) The first method:

[0050] Convert each description information into a vector. Specifically, use Word2Vec, GloVe, BERT, etc. to map each description information into a high-dimensional space to obtain the vector corresponding to each description information. These vectors can capture the semantic relationships of words, and then calculate the similarity between the vectors corresponding to every two description information. The similarity can specifically be cosine similarity or Euclidean distance, etc. According to the calculated similarity, obtain multiple groups of traditional Chinese medicine decocting parameters and multiple groups of operation specifications.

[0051] 2) The second method:

[0052] Perform one-hot encoding on each description information to obtain the one-hot encoding corresponding to each description information, and then calculate the similarity between the one-hot encodings corresponding to every two description information. The similarity can specifically be cosine similarity or Euclidean distance, etc. According to the calculated similarity, obtain multiple groups of traditional Chinese medicine decocting parameters and multiple groups of operation specifications.

[0053] 3) The third method:

[0054] Perform one-hot encoding on each description information to obtain the one-hot encoding corresponding to each description information. Add moments one by one to each position in the one-hot encoding, and the added moments are continuous. Specifically, set the first moment for the first position of the one-hot encoding, set the second moment for the second position of the one-hot encoding, until obtaining the moment corresponding to each position of each one-hot encoding. At this time, the one-hot encoding after setting continuous moments becomes one-dimensional time series data. Use the trained deep learning model to extract the deep non-linear features in the one-dimensional time series data corresponding to each description information, calculate the similarity between the deep non-linear features corresponding to every two description information. The similarity can specifically be cosine similarity or Euclidean distance, etc. According to the calculated similarity, obtain multiple groups of traditional Chinese medicine decocting parameters and multiple groups of operation specifications.

[0055] Among them, the trained deep learning model can be a trained convolutional neural network, etc., and its network structure can be set according to the actual situation.

[0056] The current value of one-dimensional time series data often depends on past values, and this dependence is non-linear. That is to say, the current data point is not only related to the immediately previous one or several data points, but may also have a certain complex relationship with data points further away. Therefore, based on deep non-linear features, the accuracy of dividing multiple groups of traditional Chinese medicine decocting parameters and multiple groups of operation specifications can be improved.

[0057] 4) The fourth method:

[0058] Perform one-hot encoding on each description information to obtain the one-hot encoding corresponding to each description information. Add moments one by one to each position in the one-hot encoding, and the added moments are continuous. Specifically, set the first moment for the first position of the one-hot encoding, set the second moment for the second position of the one-hot encoding, and so on until the moment corresponding to each position of each one-hot encoding is obtained. At this time, the one-hot encoding after setting continuous moments becomes one-dimensional time series data. Perform Fourier transform on each one-dimensional time series data, extract multiple peak points in each one-dimensional time series data, form multiple arrays, calculate the similarity between the arrays corresponding to every two description information. The similarity can specifically be cosine similarity or Euclidean distance, etc. According to the calculated similarity, obtain multiple traditional Chinese medicine decocting parameter groups and multiple operation specification groups.

[0059] In the fourth method, through Fourier transform and then calculating the similarity between the arrays corresponding to every two description information, the computational amount can be greatly reduced.

[0060] 5) The fifth method:

[0061] Perform one-hot encoding on each description information to obtain the one-hot encoding corresponding to each description information. Determine multiple key encodings in any one-hot encoding. Among them, the key encoding is: the encoding that appears N times repeatedly in this one-hot encoding, N is a positive integer, N≥2, and the value of N can be set according to the actual situation. Assign weights to the key encodings (specifically, the weights can be randomly assigned), and use the sum or product of the key encoding and the corresponding weight as the new key encoding, and replace the original key encoding to obtain a new one-hot encoding until the new one-hot encoding corresponding to each description information. Perform hash calculation on the new one-hot encoding corresponding to each description information to obtain the hash value corresponding to each description information. It should be noted that the weights assigned to the same key encoding are the same. Then calculate the similarity between the hash values corresponding to every two description information. The similarity can specifically be cosine similarity or Euclidean distance, etc. According to the calculated similarity, obtain multiple traditional Chinese medicine decocting parameter groups and multiple operation specification groups.

[0062] When performing hash calculation based on the description information as the basis, similar hash values are likely to appear. In the fifth method, first generate the one-hot encoding of each description information, which can avoid numerical deviation. Then assign weights to the key encodings to increase the difference between the key encodings and the non-key encodings, reduce the influence of the non-key encodings on the key encodings during hash calculation, and improve the accuracy of dividing into multiple traditional Chinese medicine decocting parameter groups and multiple operation specification groups.

[0063] Determine the specific numerical ranges of multiple traditional Chinese medicine decocting target parameters and multiple target operation specifications for traditional Chinese medicine decocting, specifically including: the specific numerical ranges of each traditional Chinese medicine decocting target parameter corresponding to each medicinal material, multiple target operation specifications, decocting efficacy, and the decocting process corresponding to each prescription. For example, slow fire should be defined as heating at a low temperature for a long time, with a temperature range of 60 - 80°C; fierce fire should be defined as heating at a high temperature quickly, with a temperature range above 100°C, and the specific numerical ranges can be set according to the actual situation.

[0064] S2. Correlate multiple traditional Chinese medicine decocting target parameters, multiple target operation specifications, and the decocting efficacy of each traditional Chinese medicine to construct a traditional Chinese medicine decocting parameter dataset.

[0065] Specifically, through the expert demonstration method, determine the decocting efficacy of each medicinal material under different traditional Chinese medicine decocting target parameters and different target operation specifications, and also determine the decocting efficacy of each medicinal material under different traditional Chinese medicine decocting target parameters, different target operation specifications, and in different pharmacies through the expert demonstration method, so as to realize the correlation of multiple traditional Chinese medicine decocting target parameters, multiple target operation specifications, and decocting efficacy, and construct a traditional Chinese medicine decocting parameter dataset.

[0066] By clarifying the specific numerical ranges of multiple traditional Chinese medicine decocting target parameters and multiple target operation specifications for traditional Chinese medicine decocting, the present invention can greatly improve the accuracy of traditional Chinese medicine decocting and reduce human operation errors. Moreover, the constructed traditional Chinese medicine decocting parameter dataset provides support for the standardization in the field of traditional Chinese medicine, and promotes the scientific, standardized, and intelligent development of traditional Chinese medicine decocting methods.

[0067] Optionally, in the above technical solution, it further includes:

[0068] S3. Through the visual interface, perform multi-dimensional data query on the traditional Chinese medicine decocting parameter dataset. Through the visual interface, it is convenient for traditional Chinese medicine practitioners, scholars, and other users to perform data query and management.

[0069] Among them, the interaction function is an important part of the visual interface. Through the interaction function, users (such as traditional Chinese medicine practitioners and scholars) can interact with the visual interface to obtain the required information or perform relevant operations. Specifically:

[0070] 1) Add event handlers to the components on the visual interface, such as click events, drag events, etc. When an event occurs, execute the corresponding logical processing, such as updating the interface state, sending a request to the backend, etc.

[0071] 2) Use data binding technology to associate the components of the visual interface with the traditional Chinese medicine decocting parameter dataset. When the traditional Chinese medicine decocting parameter dataset changes, the components on the visual interface will be automatically updated to reflect the latest data state.

[0072] Among them, according to the functional requirements, the main components of the visualization interface are determined, such as the navigation bar, the main interface area, the sidebar or the tab page, etc. Specifically, layout managers (such as Grid, Flexbox, etc.) can be used to control the position and size of the components in the interface.

[0073] Among them, multi-dimensional data query specifically refers to: the decoction efficacy of traditional Chinese medicine can be queried under different traditional Chinese medicine decoction target parameters, different target operation specifications, and in different pharmacies.

[0074] Furthermore, it also includes:

[0075] S21. Based on the traditional Chinese medicine decoction parameter dataset, train a preset deep learning model to obtain a traditional Chinese medicine decoction method recommendation model;

[0076] Among them, the preset deep learning model can be a convolutional neural network or a long short-term memory artificial neural network, etc., which can be set according to the actual situation.

[0077] S22. Use the traditional Chinese medicine decoction method recommendation model to recommend traditional Chinese medicine decoction methods, as Figure 2 shown.

[0078] Optionally, in the above technical solution, it also includes: optimizing the traditional Chinese medicine decoction method recommendation model, which can improve the accuracy and applicability of the recommended traditional Chinese medicine decoction method.

[0079] Among them, the performance of the model can be further improved by adjusting the hyperparameters (such as learning rate, batch size, dropout rate, etc.) of the traditional Chinese medicine decoction method recommendation model. The hyperparameter tuning methods can be grid search, random search, and Bayesian optimization, etc.

[0080] In another embodiment, it includes:

[0081] 1) Data collection:

[0082] Collect the specific numerical ranges and operation specifications of traditional Chinese medicine decoction parameters through multiple channels such as literature research, classic traditional Chinese medicine books, and interviews with traditional Chinese medicine experts.

[0083] 2) Data classification:

[0084] Classify and label the collected decoction parameters by category. Common classification methods include:

[0085] Related to decoction time: such as "decoction duration", "boil the first medicine first and then add the second medicine", etc.

[0086] Related to decoction water: "purified water", "well water", "spring water", etc.

[0087] Related to heat and temperature: such as "slow fire", "strong fire", etc.

[0088] Decoction methods: such as "added later", "wrapped for decoction", "melted for decoction", etc.

[0089] Decoction utensils: such as "ceramic pot", "earthenware pot", etc.

[0090] 3) Data definition:

[0091] Create clear and precise definitions for each parameter, taking into account its variations under different conditions.

[0092] Unified definition: For example, "slow fire" should be defined as heating at a low temperature for a long time, with a temperature range of 60 - 80°C; "strong fire" should be defined as heating at a high temperature quickly, with a temperature above 100°C.

[0093] Synonym normalization: Merge semantics with the same or similar meanings to ensure that each concept has only one standard expression. For example, classify "warm fire" as a synonym and define it as "medium temperature, decoction temperature of 80 - 100°C".

[0094] 4) Semantic association:

[0095] Determine the semantic relationships between data, such as the association between "decoction time" and "decoction method", or the relationship between "intensity of fire" and "decoction efficacy".

[0096] 5) Establish a systematic dataset of traditional Chinese medicine decoction parameters. The dataset of traditional Chinese medicine decoction parameters should have the following characteristics:

[0097] ① Scalability: With the collection of new data and the progress of research, the dataset of traditional Chinese medicine decoction parameters should support dynamic updates and expansions.

[0098] ② Multi - dimensional query: The dataset of traditional Chinese medicine decoction parameters should support multi - dimensional data queries and be able to quickly retrieve relevant data according to decoction parameters (such as time, intensity of fire, medicinal materials, etc.).

[0099] ③ Visualization interface: Design a user - friendly interface to facilitate data query and management by traditional Chinese medicine practitioners, scholars, and other users.

[0100] 6) Intelligent recommendation and application:

[0101] ① Design of intelligent recommendation system: Based on the dataset of traditional Chinese medicine decoction parameters, develop an intelligent recommendation system that can automatically recommend the most suitable decoction parameters and methods according to information such as the diseases, medicinal materials, and target efficacy input by users.

[0102] ② Personalized adjustment: The recommendation system should be able to make personalized adjustments to the decoction method according to individual differences (such as age, physique, etc.).

[0103] 7) Data feedback and optimization: Continuously collect user feedback and clinical effect data to optimize the recommendation algorithm and improve the accuracy and applicability of the system.

[0104] In one embodiment, by analyzing "Compendium of Materia Medica", "Treatise on Febrile and Miscellaneous Diseases" and modern traditional Chinese medicine research literature, a dataset of traditional Chinese medicine decocting parameters containing more than 1,500 pieces of data was constructed, and an intelligent traditional Chinese medicine decocting guidance system was developed based on this dataset, which can automatically recommend appropriate decocting methods and parameters according to the medicinal materials and disease information provided by users.

[0105] In one embodiment, integrate this dataset of traditional Chinese medicine decocting parameters into the traditional Chinese medicine decocting equipment. The equipment can automatically adjust the decocting time, firepower and temperature according to different medicinal materials and decocting requirements, and prompt users with relevant operation steps through voice or display screen.

[0106] The beneficial effects of the present invention are as follows:

[0107] 1) Improve decocting accuracy: Through the standardized term set and intelligent recommendation system, the accuracy of traditional Chinese medicine decocting can be greatly improved, and human operation errors can be reduced.

[0108] 2) Promote the modernization and standardization of traditional Chinese medicine: The establishment and application of this dataset of traditional Chinese medicine decocting parameters provide support for the standardization in the field of traditional Chinese medicine, and promote the scientific, standardized and intelligent traditional Chinese medicine decocting methods.

[0109] 3) Enhance the intelligent management of traditional Chinese medicine decocting: Combining technologies such as artificial intelligence and big data, automatic recommendation and adjustment of decocting parameters can be realized, and the automation and intelligent level of the decocting process can be improved.

[0110] 4) Improve the efficiency of traditional Chinese medicine education and scientific research: Through the standardized term set, the education and scientific research processes of traditional Chinese medicine are simplified, and a unified reference framework is provided for academic research and clinical education.

[0111] In the above embodiments, although the steps are numbered S1, S2, etc., these are only specific embodiments given by the present invention. Those skilled in the art can adjust the execution order of S1, S2, etc. according to the actual situation, and this is also within the protection scope of the present invention. It can be understood that in some embodiments, it may include some or all of the above embodiments.

[0112] As Figure 3 shown, a construction system 200 of a dataset of traditional Chinese medicine decocting parameters according to an embodiment of the present invention includes a data determination module 201 and an association module 202;

[0113] The data determination module 201 is used to: determine the specific numerical ranges of multiple traditional Chinese medicine decocting target parameters and multiple target operation specifications for traditional Chinese medicine decocting;

[0114] The association module 202 is used to: associate multiple traditional Chinese medicine decocting target parameters, multiple target operation specifications, and the decocting efficacy of each traditional Chinese medicine, and construct a traditional Chinese medicine decocting parameter data set.

[0115] Optionally, in the above technical solution, it further includes a data query module, and the data query module is used to: perform multi-dimensional data query on the traditional Chinese medicine decocting parameter data set through a visual interface.

[0116] Optionally, in the above technical solution, it further includes a model training module and a traditional Chinese medicine decocting method recommendation module;

[0117] The model training module is used to: train a preset deep learning model based on the traditional Chinese medicine decocting parameter data set, and obtain a traditional Chinese medicine decocting method recommendation model after training;

[0118] The traditional Chinese medicine decocting method recommendation module is used to: recommend traditional Chinese medicine decocting methods by using the traditional Chinese medicine decocting method recommendation model.

[0119] Optionally, in the above technical solution, it further includes a model optimization module, and the model optimization module is used to: optimize the traditional Chinese medicine decocting method recommendation model.

[0120] In another embodiment, it at least includes the following modules:

[0121] Data query module: Users can query relevant terms and decocting parameters according to specific decocting requirements (such as medicinal materials, diseases, etc.);

[0122] Intelligent recommendation module: The system can automatically recommend corresponding decocting methods and parameters according to information such as medicinal materials and diseases input by users;

[0123] Parameter optimization module: Optimize the combination of different decocting parameters according to big data analysis to improve the decocting effect;

[0124] Feedback and iteration module: The system supports user feedback, continuously updates the content of the technical data set, and ensures the timeliness and scientificity of the data set.

[0125] It should be noted that the beneficial effects of the construction system 200 of a traditional Chinese medicine decocting parameter data set provided in the above embodiment are the same as those of the above method for constructing a traditional Chinese medicine decocting parameter data set, and will not be elaborated here. In addition, when the system provided in the above embodiment realizes its functions, only the above-mentioned division of each functional module is used for illustration. In actual applications, the above functions can be allocated to different functional modules according to needs, that is, the system can be divided into different functional modules according to actual situations to complete all or part of the functions described above. In addition, the system provided in the above embodiment and the method embodiment belong to the same concept, and the specific implementation process can be seen in the method embodiment, which will not be elaborated here.

[0126] Among them, the system for constructing the traditional Chinese medicine decocting parameter data set of the present invention can be a computer program (including program code) running on a computer device. For example, the system for constructing the traditional Chinese medicine decocting parameter data set of the present invention is an application software and can be used to execute the corresponding steps in the method for constructing the traditional Chinese medicine decocting parameter data set of the present invention.

[0127] In some embodiments, the system for constructing the traditional Chinese medicine decocting parameter data set of the present invention can be implemented in a combination of software and hardware. As an example, the system for constructing the traditional Chinese medicine decocting parameter data set of the present invention can be a processor in the form of a hardware decoding processor, which is programmed to execute the method for constructing the traditional Chinese medicine decocting parameter data set of the present invention. For example, the processor in the form of a hardware decoding processor can adopt one or more application-specific integrated circuits (ASICs, Application Specific Integrated Circuit), DSPs, programmable logic devices (PLDs, Programmable Logic Device), complex programmable logic devices (CPLDs, Complex Programmable Logic Device), field-programmable gate arrays (FPGAs, Field-Programmable Gate Array) or other electronic components.

[0128] Among them, the modules involved in the embodiments of the present invention can be implemented in software or in hardware. Among them, the name of the module does not constitute a limitation to the module itself in some cases.

[0129] An electronic device according to an embodiment of the present invention includes a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, it implements the method for constructing the traditional Chinese medicine decocting parameter data set as described in any one of the above. That is to say, an electronic device according to an embodiment of the present invention may include, but is not limited to: a processor and a memory; the memory is used to store the computer program; the processor is used to execute the method for constructing the traditional Chinese medicine decocting parameter data set shown in any one of the embodiments of the present invention by calling the computer program.

[0130] In an alternative embodiment, an electronic device is provided, as Figure 4 shown Figure 4The electronic device 4000 shown includes: a processor 4001 and a memory 4003. Among them, the processor 4001 and the memory 4003 are connected, such as being connected through a bus 4002. Optionally, the electronic device 4000 may further include a transceiver 4004, and the transceiver 4004 can be used for data interaction between this electronic device and other electronic devices, such as data sending and / or data receiving, etc. It should be noted that in practical applications, the transceiver 4004 is not limited to one, and the structure of the electronic device 4000 does not constitute a limitation to the embodiments of the present invention.

[0131] The processor 4001 can be a CPU (Central Processing Unit, central processor), a general-purpose processor, a DSP (Digital Signal Processor, data signal processor), an ASIC (Application Specific Integrated Circuit, application-specific integrated circuit), an FPGA (Field Programmable Gate Array, field programmable gate array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute various exemplary logic blocks, modules, and circuits described in connection with the disclosure of the present invention. The processor 4001 can also be a combination that implements computing functions, such as a combination including one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0132] The bus 4002 may include a path for transmitting information between the above components. The bus 4002 can be a PCI (Peripheral Component Interconnect, peripheral component interconnect standard) bus or an EISA (Extended Industry Standard Architecture, extended industry standard architecture) bus, etc. The bus 4002 can be divided into an address bus, a data bus, a control bus, etc. For the sake of representation, Figure 4 only a thick line is used to represent the bus 4002 in the figure, but it does not mean that there is only one bus or one type of bus.

[0133] The memory 4003 can be a ROM (Read Only Memory), or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory), or other types of dynamic storage devices that can store information and instructions. It can also be an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory), or other optical disc storage, optical disc storage (including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), magnetic disk storage media, or other magnetic storage devices, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0134] The memory 4003 is used to store the application program code (computer program) for executing the solution of the present invention, and is controlled by the processor 4001 to execute. The processor 4001 is used to execute the application program code stored in the memory 4003 to implement the content shown in the foregoing method embodiments.

[0135] Among them, the electronic device can also be a terminal device, and the terminal device can be any device that can install applications, including at least one of a smart phone, a tablet computer, a laptop computer, a desktop computer, a smart speaker, a smart watch, a smart TV, and a smart vehicle device.

[0136] It should be noted that Figure 4 The electronic device shown is only an example and should not impose any limitations on the functions and usage scope of the embodiments of the present invention.

[0137] A computer-readable storage medium according to an embodiment of the present invention, on which a computer program is stored, and when the computer program is executed by a processor, the method for constructing the traditional Chinese medicine decocting parameter data set described in any one of the above is implemented.

[0138] Optionally, the computer-readable storage medium can be a Read-Only Memory (ROM), a Random Access Memory (RAM), a Compact Disc Read-Only Memory (CD-ROM), magnetic tape, floppy disk, and optical data storage device, etc.

[0139] In an exemplary embodiment, a computer program product or a computer program is further provided. The computer program product or the computer program includes computer instructions stored in a computer-readable storage medium. A processor of an electronic device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions to cause the electronic device to execute the method for constructing a traditional Chinese medicine decocting parameter data set as described in any one of the above.

[0140] Computer program code for performing the operations of the present invention may be written in one or more programming languages or combinations thereof. The above programming languages include object-oriented programming languages such as Java, Smalltalk, C++, and also include conventional procedural programming languages such as the "C" language or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, executed as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (for example, by connecting through the Internet using an Internet service provider).

[0141] It should be understood that the flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of the methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagram may represent a module, a program segment, or a part of code that contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than marked in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, and the combination of blocks in the block diagram and / or flowchart, may be implemented by a dedicated hardware-based system for performing the specified functions or operations, or may be implemented by a combination of dedicated hardware and computer instructions.

[0142] The computer-readable storage medium provided by the embodiments of the present invention may be, but is not limited to, a system, device, or component of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination of the above. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present invention, the computer-readable storage medium may be any tangible medium that contains or stores a program, and this program may be used by or in combination with an instruction execution system, device, or component.

[0143] The above computer-readable storage medium carries one or more programs. When the above one or more programs are executed by the electronic device, the electronic device is caused to execute the method shown in the above embodiments.

[0144] The above description is only the preferred embodiments of the present invention and the explanation of the applied technical principles. Those skilled in the art should understand that the scope of disclosure involved in the present invention is not limited to the technical solutions formed by the specific combination of the above technical features, and should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above disclosure concept. For example, the technical solutions formed by mutually replacing the above features with the technical features (but not limited to) having similar functions disclosed in the present invention.

[0145] It should be noted that the terms "first", "second", etc. in the specification and claims of this application are used to distinguish similar objects, and represent a limitation on a specific order or sequence. Under appropriate circumstances, the order of use of similar objects may be interchanged so that the embodiments of this application described herein can be implemented in an order other than the illustrated or described order.

[0146] Those skilled in the art know that the present invention can be implemented as a system, method, or computer program product. Therefore, the present invention can be specifically implemented in the following forms, that is: it can be completely hardware, can also be completely software (including firmware, resident software, microcode, etc.), and can also be in the form of a combination of hardware and software, generally referred to as "circuit", "module", or "system" in this article. In addition, in some embodiments, the present invention can also be implemented in the form of a computer program product in one or more computer-readable media, and the computer-readable media contains computer-readable program code.

[0147] Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present invention.

Claims

1. A method for constructing a Chinese medicine decoction parameter data set, characterized in that: include: Determine the specific numerical ranges of multiple target parameters for Chinese medicine decoction and multiple target operation specifications for Chinese medicine decoction; Multiple target parameters for Chinese medicine decoction, multiple target operation specifications and the decoction efficacy of each Chinese medicine are associated to construct a Chinese medicine decoction parameter dataset.

2. The method for constructing a Chinese medicine decoction parameter data set according to claim 1, characterized in that: Also includes: Through the visual interface, multi-dimensional data query is performed on the traditional Chinese medicine decoction parameter data set.

3. The method for constructing a Chinese medicine decoction parameter data set according to claim 1 or 2, characterized in that: Also includes: Based on the Chinese medicine decoction parameter data set, a preset deep learning model is trained to obtain a Chinese medicine decoction method recommendation model; The Chinese medicine decoction method recommendation model is used to recommend the Chinese medicine decoction method.

4. The method for constructing a Chinese medicine decoction parameter data set according to claim 3, characterized in that: Also includes: The recommended model for the Chinese medicine decoction method is optimized.

5. A system for constructing a Chinese medicine decoction parameter data set, characterized in that: including a data determination module and an association module; The data determination module is used to: determine the specific numerical ranges of multiple Chinese medicine decoction target parameters and multiple target operation specifications for Chinese medicine decoction; The association module is used to associate multiple Chinese medicine decoction target parameters, multiple target operation specifications and the decoction efficacy of each Chinese medicine to construct a Chinese medicine decoction parameter data set.

6. A system for constructing a Chinese medicine decoction parameter data set according to claim 5, characterized in that: It also includes a data query module, which is used to perform multi-dimensional data query on the traditional Chinese medicine decoction parameter data set through a visual interface.

7. A system for constructing a Chinese medicine decoction parameter data set according to claim 5 or 6, characterized in that: It also includes a model training module and a Chinese medicine decoction method recommendation module; The model training module is used to: train a preset deep learning model based on the Chinese medicine decoction parameter data set to obtain a Chinese medicine decoction method recommendation model; The Chinese medicine decoction method recommendation module is used to: use the Chinese medicine decoction method recommendation model to recommend the Chinese medicine decoction method.

8. A system for constructing a Chinese medicine decoction parameter data set according to claim 7, characterized in that: It also includes a model optimization module, which is used to optimize the recommended model for the Chinese medicine decoction method.

9. An electronic device, characterized in that: The method comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method for constructing a traditional Chinese medicine decoction parameter data set as claimed in any one of claims 1 to 4 is implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for constructing a traditional Chinese medicine decoction parameter data set according to any one of claims 1 to 4 is implemented.

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