CN117423450A - Auxiliary diagnosis method and device for traditional Chinese medicine and electronic equipment - Google Patents

Auxiliary diagnosis method and device for traditional Chinese medicine and electronic equipment Download PDF

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CN117423450A
CN117423450A CN202311420441.2A CN202311420441A CN117423450A CN 117423450 A CN117423450 A CN 117423450A CN 202311420441 A CN202311420441 A CN 202311420441A CN 117423450 A CN117423450 A CN 117423450A
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physical examination
data
examination report
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chinese medicine
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刘崇辉
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Lianren Healthcare Big Data Technology Co Ltd
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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/10—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/90—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to alternative medicines, e.g. homeopathy or oriental medicines
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients

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Abstract

The embodiment of the invention discloses a traditional Chinese medicine auxiliary diagnosis method, a device and electronic equipment, wherein the method comprises the following steps: based on the historical medical report and the big data engine, constructing a traditional Chinese medicine auxiliary diagnosis knowledge base; wherein the historical medical report includes at least one of a historical physical examination report, a historical case prescription, and a historical test examination report; when a current physical examination report is received, determining disease information corresponding to the current physical examination report through an auditing engine; based on the disease information and the knowledge base of auxiliary diagnosis of traditional Chinese medicine, a recommended prescription is determined. The technical scheme of the embodiment of the invention solves the problem that the medical data cannot be effectively managed and utilized in the prior art and provides assistance for diagnosis, and has the beneficial effects of improving the accuracy and the effectiveness of diagnosis.

Description

Auxiliary diagnosis method and device for traditional Chinese medicine and electronic equipment
Technical Field
The invention relates to the technical field of data processing, in particular to a traditional Chinese medicine auxiliary diagnosis method, a device and electronic equipment.
Background
With the continued accumulation of medical data, how to effectively manage and utilize such data has become an important issue. Conventional medical data management methods have problems such as data dispersion, inability to be effectively shared and utilized, and the like.
In addition, how to use medical data to assist the diagnosis of doctors is also a technical problem to be solved.
Disclosure of Invention
The invention provides a traditional Chinese medicine auxiliary diagnosis method, a traditional Chinese medicine auxiliary diagnosis device and electronic equipment, so as to realize the recommendation of a traditional Chinese medicine prescription.
According to an aspect of the present invention, there is provided a method of auxiliary diagnosis of chinese medical science, comprising:
based on the historical medical report and the big data engine, constructing a traditional Chinese medicine auxiliary diagnosis knowledge base; wherein the historical medical report includes at least one of a historical physical examination report, a historical case prescription, and a historical test examination report;
when a current physical examination report is received, determining disease information corresponding to the current physical examination report through an auditing engine;
and determining a recommended prescription based on the disease information and the traditional Chinese medicine auxiliary diagnosis knowledge base.
According to another aspect of the present invention, there is provided a diagnostic aid for TCM, including:
the knowledge base building module is used for building a traditional Chinese medicine auxiliary diagnosis knowledge base based on the historical medical report and the big data engine; wherein the historical medical report includes at least one of a historical physical examination report, a historical case prescription, and a historical test examination report;
the disease information determining module is used for determining disease information corresponding to the current physical examination report through an auditing engine when the current physical examination report is received;
and the prescription recommendation module is used for determining a recommended prescription based on the disease information and the traditional Chinese medicine auxiliary diagnosis knowledge base.
According to another aspect of the present invention, there is provided an electronic apparatus including:
at least one processor;
and a memory communicatively coupled to the at least one processor;
the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor, so that the at least one processor can execute the auxiliary diagnostic method of traditional Chinese medicine according to any embodiment of the invention.
According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to execute the method of diagnosis assistance in TCM according to any one of the embodiments of the present invention.
According to the technical scheme, a traditional Chinese medicine auxiliary diagnosis knowledge base is constructed through a historical medical report and a big data engine; when a current physical examination report is received, determining disease information corresponding to the current physical examination report through an auditing engine; and determining a recommended prescription based on the disease information and the traditional Chinese medicine auxiliary diagnosis knowledge base. The method solves the problem that medical data cannot be effectively managed and utilized in the prior art and provides assistance for diagnosis, and has the beneficial effects of improving the accuracy and the effectiveness of diagnosis.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for auxiliary diagnosis of traditional Chinese medicine provided by the embodiment of the invention;
fig. 2 is a system architecture diagram applicable to the auxiliary diagnosis method of traditional Chinese medicine provided in this embodiment;
fig. 3 is a schematic structural diagram of a diagnostic device for assisting in traditional Chinese medicine according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Fig. 1 is a flowchart of a method for assisting diagnosis of traditional Chinese medicine according to an embodiment of the present invention, where the present embodiment is applicable to a case where a recommended prescription of traditional Chinese medicine is given according to a physical examination report, the method may be performed by an apparatus for assisting diagnosis of traditional Chinese medicine, the apparatus may be implemented in a form of hardware and/or software, and the apparatus may be configured in an electronic device. As shown in fig. 1, the method includes:
s110, constructing a traditional Chinese medicine auxiliary diagnosis knowledge base based on the historical medical report and the big data engine.
Wherein, the history medical report refers to a file for recording the examination and examination related index information of the patient, and comprises a history physical examination report, a history case prescription, a history examination report and the like; the big data engine is used for processing and analyzing large-scale data, has the characteristics of high expandability, parallel data processing capability and real-time data processing, and can support various data processing operations including data cleaning, conversion, aggregation, association and the like; the auxiliary diagnosis knowledge base of the traditional Chinese medicine is a knowledge base constructed based on information in the historical medical report, and can provide assistance for diagnosis of the traditional Chinese medicine.
In this embodiment, a history medical report is obtained in advance, for example, a patient medical report of a hospital in the past three years is derived from a data system of the hospital, then the history medical report is processed, effective medical information in the history medical report is extracted, and a knowledge base for assisting diagnosis of traditional Chinese medicine is constructed through analysis processing capability of a big data engine on data.
On the basis of the above embodiment, the constructing a knowledge base for auxiliary diagnosis of traditional Chinese medicine based on the historical medical report and the big data engine includes: converting the historical physical examination report, the historical case prescription and the historical inspection report into structural data, and performing data processing on the structural data according to a preset index item to obtain structural data to be used; and analyzing the structured data and the structured data to be used based on an algorithm of a big data engine so as to construct the traditional Chinese medicine auxiliary diagnosis knowledge base.
The preset index items refer to preset indexes, namely cleaning, classifying, summarizing, marking and the like of data according to the indexes, wherein the preset indexes comprise but are not limited to gender, age, weight, physical examination indexes, inspection indexes, diseases and treatment schemes; the structured data to be used refers to the structured data obtained after cleaning, classifying, summarizing and marking.
In practical application, the information contained in the historical physical examination report, the historical case prescription and the historical examination report is identified through OCR (optical character recognition), image-text recognition and the like, so that the information is converted into structured data, and the structured data is integrated in a data warehouse. Further, the structured data to be used is obtained by cleaning, summarizing, classifying, identifying and the like the structured data according to preset index items. And (3) performing AI machine learning, model training and algorithm on the data before and after the processing, and performing mining and cluster analysis on the data to form a traditional Chinese medicine auxiliary diagnosis knowledge base.
In addition, in this embodiment, professional medical knowledge can be further arranged into structured data according to books, experiences and historical diagnosis and treatment schemes, and the structured data can be stored in a knowledge base. Illustratively, different prescriptions of traditional Chinese medicine are stored in a knowledge base; or, the medical professional compiles some case data and corresponding prescriptions based on medical knowledge and experience, and stores the case data and the corresponding prescriptions in a traditional Chinese medicine auxiliary diagnosis knowledge base after structuring treatment.
And S120, when a current physical examination report is received, determining disease information corresponding to the current physical examination report through an auditing engine.
In the embodiment of the invention, the current physical examination report refers to the physical examination report of the patient needing traditional Chinese medicine diagnosis at present, and the current physical examination report is audited by an auditing engine to determine the disease information of the patient.
On the basis of the foregoing embodiment, after the receiving the current physical examination report, the method further includes: and structuring the current physical examination report to obtain current physical examination data corresponding to the current physical examination report.
The current physical examination report input by the user is received, the current physical examination report comprises a Chinese medical examination report and a Western medical examination report, and the physical examination report is read through ocr identification, image-text identification, structured document, word splitting and other modes to obtain structured data. For another example, the tongue diagnosis image in the traditional Chinese medicine report can be identified, the image is preprocessed, the noise reduction and the contrast enhancement are included, the characteristics in the image, such as the color, the shape and the texture, are extracted, whether the tongue body is in a superficial state or is provided with teeth marks or blushing, and the like are identified, so that the tongue diagnosis result is obtained for the use of the traditional Chinese medicine prescription recommended later. It should be noted that, the above description is only performed on a determination process of a certain item of data in the current physical examination report, and in practical application, physical examination data of other items are also obtained through a corresponding processing manner, which is not described herein again. After the multiple physical examination data are obtained, they are collated as current physical examination data.
In addition, for a certain item of data, the tongue diagnosis conclusion structured by the physical examination report is compared at the same time, namely, the tongue diagnosis conclusion is compared with the conclusion given by a doctor, and corresponding data can enter (big data engine) at the same time for re-learning.
On the basis of the above embodiment, the determining, by the audit engine, disease information corresponding to the current physical examination report includes: according to a preset engine rule, auditing all index data in the current physical examination data by the auditing engine; and determining the disease type and the disease grade corresponding to the current physical examination report based on the auditing result of the index data.
In this embodiment, the preset engine rule refers to an auditing rule for different diseases, and is used to audit whether the index in the physical examination report is normal or belongs to the category of a certain disease. In this embodiment, the auditing engine audits each index data in the current physical examination data according to a preset engine rule, for example, when it is required to audit whether the patient has dyslipidemia, it is required to audit indexes such as total cholesterol, triglyceride, low density lipoprotein cholesterol and the like by the auditing engine, and based on the auditing result, the disease type and disease grade of the patient are determined. It should be further noted that the above description is presented with engine rules, and the preset engine rules are not limited, and different types of diseases can correspond to different engine rules.
On the basis of the foregoing embodiment, the determining, based on the auditing result of each item of the index data, the disease type and the disease level corresponding to the current physical examination report includes: and determining a preset threshold range corresponding to each item of index data, and determining the disease type and the disease grade corresponding to the current physical examination report based on the preset threshold range and each item of index data.
In the present embodiment, the preset threshold range refers to a range of each item of index data set in advance, and may be set based on medical experience. If the index data is not within the preset threshold value range, the patient is considered to have a certain disease, and the grade of the disease is determined. For example, if the patient's blood lipid index data is not within the preset threshold range, the patient is considered to have a dyslipidemia disease, and in addition, the patient's dyslipidemia disease may be classified into dyslipidemia class I, II, III, etc. according to the magnitude of the blood lipid index data exceeding the preset threshold range.
On the basis of the above embodiment, the determining, by the audit engine, disease information corresponding to the current physical examination report includes: determining a target historical physical examination report corresponding to the current physical examination report, and determining a difference value between current physical examination data of the current physical examination report and historical physical examination data of the target historical physical examination report through the auditing engine; and generating a disease recovery weight corresponding to the current physical examination report based on the difference value.
The target historical physical examination report can be understood as a physical examination report of the current patient in the past period of time, and the difference value refers to the difference value between each item of index data in the current physical examination report and each item of data in the target historical physical examination report; the disease recovery weight is used to indicate the recovery of the patient's disease, whether the condition was increased or improved over the last physical examination.
Specifically, a target historical physical examination report of a patient is called from a database according to the current physical examination report of the patient, each item of index data of the current physical examination report is compared with each item of index data in the target historical physical examination report, the size of a difference value is determined, and then a corresponding weight is determined and used as a disease recovery weight, and the weight value can be used as one weight of a later recommended prescription.
S130, determining a recommended prescription based on the disease information and the auxiliary diagnosis knowledge base of the traditional Chinese medicine.
In an embodiment of the present invention, the determining a recommended prescription based on the disease information and the auxiliary diagnosis knowledge base of traditional Chinese medicine includes: and matching the disease type, the disease grade and the disease recovery weight with data in the traditional Chinese medicine auxiliary diagnosis knowledge base, and determining a recommended prescription based on a matching result.
Wherein the recommendation includes at least one of an agreement party, a partner, a private party, and a nomadic party. Specifically, the disease type, the disease grade and the disease weight are matched with data in a knowledge base of auxiliary diagnosis of traditional Chinese medicine, and a recommended prescription is determined based on a matching result. For example, according to the disease type and disease grade, the matched historical cases are searched in the auxiliary knowledge base of traditional Chinese medicine diagnosis, and according to the prescriptions of the historical medical records, the prescriptions are recommended to doctors as recommended prescriptions. For example, the recommended prescription is displayed on a display interface of a client used by the doctor by way of list display, or the like.
In this embodiment, the traditional Chinese medicine prescription (doctor or hospital common prescription or agreement prescription or system recommendation prescription) is finally provided by judging, analyzing and differentiating the traditional Chinese medicine auxiliary diagnosis knowledge base, and combining other external factors of the patient (including but not limited to gender, age, height, weight, tongue diagnosis, pulse diagnosis, how often to prescribe, history prescription) and the like.
On the basis of the above embodiment, after the determining of the recommended prescription, further includes: recommending based on the recommended prescription, receiving a modification operation for the recommended prescription, and determining the modified recommended prescription; and updating the traditional Chinese medicine auxiliary diagnosis knowledge base based on the modified recommended prescription and the current physical examination report.
It will be appreciated that the doctor may adjust the prescription according to his/her expertise, the system may record the doctor's actions based on the prescription taken by the doctor, the edited prescription, and the prescription dosage as modified. And then combining the recommendation logic of the Chinese and Western medicine knowledge base with the modified steps of the doctor and the modified prescription to form a data link. The analysis engine analyzes the data of the data link, the analyzed result data has a threshold value, the threshold value is small (the matching degree is low), the data is checked again by a manual mode, the threshold value is large (the matching degree is high), the data directly enters the existing prescription knowledge base, a new prescription knowledge base is formed, and the medical doctor can use the data conveniently next time. That is, the matching degree between the recommended prescription and the prescription modified by the doctor is checked, and the input knowledge base with high matching degree is input.
In a preferred embodiment scenario, referring to fig. 2, a system architecture diagram applicable to the auxiliary diagnostic method of traditional Chinese medicine provided in this embodiment is provided.
Wherein, big data engine: the data such as a large number of inspection reports, medical record prescriptions, physical examination reports and the like are provided for storage according to hospitals. Ocr identification and image-text identification are carried out on the stored physical examination report and the stored checking data, and the physical examination report and the checking data become structured data. The data are then integrated into a data warehouse, and data are cleaned, summarized, classified, identified, etc. according to gender, age, weight, physical examination indexes, inspection indexes, diseases, treatment schemes, etc. AI machine learning, model training and algorithm are carried out on the data before and after processing, and mining and clustering analysis are carried out on the data, so that a set of useful knowledge base of traditional Chinese medicine is formed.
Wherein, the library recognition engine: the knowledge base engine data is derived from: and carrying out structural analysis on the medical examination reports of traditional Chinese medicine and western medicine to obtain structural data, and obtaining possible diseases of the patient by a mode of manually analyzing, sorting or machine learning by medical specialists.
When the patient is prescribed, the detailed operation log is returned to the big data engine when the doctor selects the disease and prescribes the disease, or when the prescription detail is modified or the disease is not adopted, the special data is processed in a manual or machine learning mode, and the knowledge base in the engine is perfected differently.
And (3) sorting the data into structured data according to books, experiences and historical diagnosis and treatment schemes through professional medical knowledge, and storing the structured data into a system.
According to the technical scheme, a traditional Chinese medicine auxiliary diagnosis knowledge base is constructed through a historical medical report and a big data engine; when a current physical examination report is received, determining disease information corresponding to the current physical examination report through an auditing engine; and determining a recommended prescription based on the disease information and the traditional Chinese medicine auxiliary diagnosis knowledge base. The problems that medical data cannot be effectively managed and utilized and auxiliary is provided for diagnosis in the prior art are solved, and the following beneficial effects are achieved:
improving the diagnosis accuracy: by integrating medical history, prescription, physical examination, inspection, etc. data into the big data calculation engine, more comprehensive and accurate patient information can be obtained. This helps the physician to diagnose the disease more accurately, reducing the likelihood of misdiagnosis.
Optimizing a treatment scheme: according to the disease information and the prescription advice of the traditional Chinese medicine provided by the knowledge base engine, doctors can more comprehensively know the disease condition of the patients and make more personalized treatment schemes. This helps to improve the therapeutic effect and reduce unnecessary use of medicines and waste of medical resources.
Improving the medical efficiency: by means of automatic data input and analysis of a knowledge base engine, time for a doctor to manually input data and query information can be reduced, and diagnosis and treatment efficiency is improved. This helps to reduce the stress on medical resources and provide timely and efficient medical services to more patients.
Facilitating research and application of traditional Chinese medicine: the technical scheme combines big data analysis and traditional Chinese medicine knowledge, and can provide more accurate and comprehensive data support for the research and application of traditional Chinese medicine. This helps to drive the development of traditional Chinese medicine, providing more varied treatment options for more patients.
Enhancing security and privacy protection of medical data: by adopting big data technology and special safety measures, the personal privacy of the patient and the safety of medical data can be protected, and the information of the patient is ensured not to be revealed and abused. This helps to enhance the patient's trust and satisfaction with the medical system.
Fig. 3 is a schematic structural diagram of a diagnostic device for assisting in traditional Chinese medicine according to an embodiment of the present invention. As shown in fig. 3, the apparatus includes:
a knowledge base building module 310 for building a knowledge base for auxiliary diagnosis of traditional Chinese medicine based on the historical medical report and the big data engine; wherein the historical medical report includes at least one of a historical physical examination report, a historical case prescription, and a historical test examination report;
the disease information determining module 320 is configured to determine, when a current physical examination report is received, disease information corresponding to the current physical examination report through an audit engine;
the prescription recommendation module 330 is configured to determine a recommended prescription based on the disease information and the auxiliary diagnosis knowledge base.
According to the technical scheme, a traditional Chinese medicine auxiliary diagnosis knowledge base is constructed through a historical medical report and a big data engine; when a current physical examination report is received, determining disease information corresponding to the current physical examination report through an auditing engine; and determining a recommended prescription based on the disease information and the traditional Chinese medicine auxiliary diagnosis knowledge base. The method solves the problem that medical data cannot be effectively managed and utilized in the prior art and provides assistance for diagnosis, and has the beneficial effects of improving the accuracy and the effectiveness of diagnosis.
Optionally, the knowledge base building module 310 includes:
the data processing module is used for converting the historical physical examination report, the historical case prescription and the historical inspection report into structural data, and carrying out data processing on the structural data according to a preset index item to obtain structural data to be used;
the construction module is used for analyzing the structured data and the structured data to be used based on an algorithm of a big data engine so as to construct the traditional Chinese medicine auxiliary diagnosis knowledge base.
Optionally, the auxiliary diagnostic device of traditional Chinese medicine further comprises a current physical examination report processing module, configured to: and after the current physical examination report is received, structuring the current physical examination report to obtain current physical examination data corresponding to the current physical examination report.
Optionally, the disease information determining module 320 includes:
the index data auditing module is used for auditing all index data in the current physical examination data through the auditing engine according to a preset engine rule;
and the disease type determining module is used for determining the disease type and the disease grade corresponding to the current physical examination report based on the auditing result of the index data.
Optionally, the disease type determining module is specifically configured to:
and determining a preset threshold range corresponding to each item of index data, and determining the disease type and the disease grade corresponding to the current physical examination report based on the preset threshold range and each item of index data.
Optionally, the disease information determining module 320 includes:
the difference value determining module is used for determining a target historical physical examination report corresponding to the current physical examination report, and determining a difference value between current physical examination data of the current physical examination report and historical physical examination data of the target historical physical examination report through the auditing engine;
and the weight generation module is used for generating a disease recovery weight corresponding to the current physical examination report based on the difference value.
Optionally, the prescription recommendation module 330 is specifically configured to:
matching the disease type, the disease grade and the disease recovery weight with data in the traditional Chinese medicine auxiliary diagnosis knowledge base, and determining a recommended prescription based on a matching result;
wherein the recommendation includes at least one of an agreement party, a partner, a private party, and a nomadic party.
Optionally, the auxiliary diagnostic device for traditional Chinese medicine is further used for: after the recommended prescription is determined, recommending based on the recommended prescription, receiving a modification operation for the recommended prescription, and determining the modified recommended prescription;
and updating the traditional Chinese medicine auxiliary diagnosis knowledge base based on the modified recommended prescription and the current physical examination report.
The auxiliary diagnosis device for the traditional Chinese medicine provided by the embodiment of the invention can execute the auxiliary diagnosis method for the traditional Chinese medicine provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 4, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as the traditional Chinese medicine assisted diagnostic method.
In some embodiments, the TCM-assisted diagnostic method may be implemented as a computer program, which is tangibly embodied on a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the above-described auxiliary diagnostic method of chinese medicine may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the traditional Chinese medicine assisted diagnostic method by any other suitable means (e.g. by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, 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 disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.

Claims (10)

1. A method for auxiliary diagnosis of traditional Chinese medicine, comprising the steps of:
based on the historical medical report and the big data engine, constructing a traditional Chinese medicine auxiliary diagnosis knowledge base; wherein the historical medical report includes at least one of a historical physical examination report, a historical case prescription, and a historical test examination report;
when a current physical examination report is received, determining disease information corresponding to the current physical examination report through an auditing engine;
and determining a recommended prescription based on the disease information and the traditional Chinese medicine auxiliary diagnosis knowledge base.
2. The method of claim 1, wherein constructing a knowledge base of auxiliary diagnostics of traditional Chinese medicine based on the historical medical reports and the big data engine comprises:
converting the historical physical examination report, the historical case prescription and the historical inspection report into structural data, and performing data processing on the structural data according to a preset index item to obtain structural data to be used;
and analyzing the structured data and the structured data to be used based on an algorithm of a big data engine so as to construct the traditional Chinese medicine auxiliary diagnosis knowledge base.
3. The method of claim 1, further comprising, after said receiving a current physical examination report:
and structuring the current physical examination report to obtain current physical examination data corresponding to the current physical examination report.
4. The method of claim 3, wherein the determining, by an audit engine, disease information corresponding to the current physical examination report comprises:
according to a preset engine rule, auditing all index data in the current physical examination data by the auditing engine;
and determining the disease type and the disease grade corresponding to the current physical examination report based on the auditing result of the index data.
5. The method of claim 4, wherein determining the disease type and disease level corresponding to the current physical examination report based on the results of the auditing of each of the index data, comprises:
and determining a preset threshold range corresponding to each item of index data, and determining the disease type and the disease grade corresponding to the current physical examination report based on the preset threshold range and each item of index data.
6. The method of claim 4, wherein the determining, by an audit engine, disease information corresponding to the current physical examination report comprises:
determining a target historical physical examination report corresponding to the current physical examination report, and determining a difference value between current physical examination data of the current physical examination report and historical physical examination data of the target historical physical examination report through the auditing engine;
and generating a disease recovery weight corresponding to the current physical examination report based on the difference value.
7. The method of claim 6, wherein the determining a recommended prescription based on the disease information and the knowledge base of traditional Chinese medicine-aided diagnosis comprises:
matching the disease type, the disease grade and the disease recovery weight with data in the traditional Chinese medicine auxiliary diagnosis knowledge base, and determining a recommended prescription based on a matching result;
wherein the recommendation includes at least one of an agreement party, a partner, a private party, and a nomadic party.
8. The method of claim 1, further comprising, after said determining a recommended prescription:
recommending based on the recommended prescription, receiving a modification operation for the recommended prescription, and determining the modified recommended prescription;
and updating the traditional Chinese medicine auxiliary diagnosis knowledge base based on the modified recommended prescription and the current physical examination report.
9. A diagnostic aid for chinese medicine, comprising:
the knowledge base building module is used for building a traditional Chinese medicine auxiliary diagnosis knowledge base based on the historical medical report and the big data engine; wherein the historical medical report includes at least one of a historical physical examination report, a historical case prescription, and a historical test examination report;
the disease information determining module is used for determining disease information corresponding to the current physical examination report through an auditing engine when the current physical examination report is received;
and the prescription recommendation module is used for determining a recommended prescription based on the disease information and the traditional Chinese medicine auxiliary diagnosis knowledge base.
10. An electronic device, the electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of auxiliary diagnosis of chinese medical science according to any one of claims 1 to 8.
CN202311420441.2A 2023-10-30 2023-10-30 Auxiliary diagnosis method and device for traditional Chinese medicine and electronic equipment Pending CN117423450A (en)

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