An ear acupoint nursing recommendation system and method based on eight syndromes differentiation
Patent Information
- Application Number
- CN202611079539.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-07-20
- Publication Date
- 2026-09-22
AI Technical Summary
同时，现有技术多为静态配穴数据库，无护理效果反馈迭代机制，无法依据患者康复数据优化辨证权重与穴位配伍，模型不具备自适应升级能力
[0013]经由上述的技术方案可知，与现有技术相比，本发明公开提供了一种基于八纲辨证的耳穴护理推荐系统及方法，通过构建八纲辨证权重运算模型与标准化证候量化采集体系，为医护人员提供客观化、标准化的耳穴护理方案辅助推荐，有效弥补了传统人工配穴主观性强、辨证参考依据不足的缺陷，可显著提升耳穴护理干预的精准性与规范性；同时依托评估记录模块形成护理效果反馈闭环，基于临床康复数据动态优化辨证权重与穴位配伍，使推荐模型具备自适应迭代升级能力，且通过规范化证候信息采集与疗效数据自动统计，大幅降低了专科护士开展耳穴适宜技术的操作门槛，有效提高临床护理工作效率与护理数据管理水平，整套系统作为临床护理辅助决策工具，不直接替代医师诊断。
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Abstract
Description
Technical Field
[0001] This invention relates to the field of auxiliary technology of traditional Chinese medicine nursing, and more specifically to an auricular acupoint nursing recommendation system and method based on the Eight Principles of Differentiation. Background Technology
[0002] Auricular therapy is one of the core external treatment methods in Traditional Chinese Medicine (TCM). Based on the theory that the auricle corresponds to the internal organs, limbs, and bones of the human body, it stimulates corresponding auricular points to regulate the Qi and blood of the internal organs, balance Yin and Yang, and alleviate pain. It is widely used in nursing scenarios such as chronic disease management, postoperative rehabilitation, sub-health conditioning, and intervention for emotional disorders. The Eight Principles of Differentiation are the fundamental guidelines for TCM syndrome differentiation and treatment. They use four opposing dimensions—Yin and Yang, Exterior and Interior, Cold and Heat, and Deficiency and Excess—to stratify and determine the patient's syndrome, serving as the core diagnostic basis for accurately matching auricular acupuncture prescriptions.
[0003] Traditional artificial auricular acupuncture point selection relies heavily on the professional experience of medical staff, lacks a standardized eight-principle quantitative diagnostic system, and suffers from strong subjectivity and large bias in diagnostic results, resulting in inconsistent accuracy of point selection. Furthermore, manual consultation and point selection are inefficient and cannot meet the needs of large-scale nursing care. Relying solely on mechanically matching acupoints to single symptoms leads to poor syndrome suitability and limited nursing intervention effects. In addition, existing technologies are mostly static point databases, lacking a feedback and iteration mechanism for nursing effects, and cannot optimize diagnostic weights and acupoint combinations based on patient recovery data; the models also lack adaptive upgrade capabilities.
[0004] Therefore, how to solve the problems of difficulty in identifying acupoints, non-standard information collection, inconvenience in observing therapeutic effects, and difficulty in data statistics when TCM nursing specialists carry out appropriate auricular acupoint techniques in wards is an urgent problem that needs to be solved by those skilled in the art. Summary of the Invention
[0005] In view of this, the present invention provides an auricular acupoint care recommendation system and method based on the Eight Principles of Differentiation, in order to solve the problems existing in the background art.
[0006] To achieve the above objectives, the present invention adopts the following technical solution: An auricular acupoint care recommendation system based on the Eight Principles of Differentiation includes: a user syndrome collection module, an Eight Principles of Differentiation quantitative classification calculation module, a syndrome differentiation knowledge base module, a syndrome differentiation acupoint recommendation module, and an evaluation record module. The user syndrome collection module is used to collect multi-dimensional syndrome information of patients in a standardized manner, preset a quantitative scoring scale according to the syndrome manifestations corresponding to the Eight Principles of Differentiation, output a structured syndrome quantitative dataset and transmit it to the Eight Principles of Differentiation quantitative classification calculation module. The Eight-Principle Differentiation and Quantitative Classification Calculation Module has a built-in Eight-Principle Differentiation and Weight Calculation Model. It receives the structured syndrome quantitative dataset, calculates the syndrome score of each principle, determines the patient's compound Eight-Principle syndrome based on the score threshold of each principle, and outputs the Eight-Principle Differentiation and Classification Result. The diagnostic knowledge base module pre-stores standard auricular acupoint combinations and corresponding nursing parameters for different eight-principle complex syndromes. The acupoint selection recommendation module is connected to the eight-principle syndrome differentiation quantitative classification calculation module and the syndrome differentiation knowledge base module. Based on the eight-principle syndrome differentiation results, it retrieves matching ear acupoint combinations and corresponding nursing parameters to generate an ear acupoint nursing recommendation plan. The assessment and recording module is used to collect quantitative data on syndrome re-evaluation and the degree of improvement in patients' sensations after completing a preset cycle of auricular acupuncture care. The re-evaluation data is then sent back to the Eight Principles Differentiation Quantitative Classification Calculation Module. Based on the effective nursing samples, the weights of each syndrome indicator in the Eight Principles Differentiation Weight Calculation Model are dynamically adjusted, and the acupoint combinations corresponding to the syndrome types in the differentiation knowledge base module are optimized.
[0007] Preferably, the eight-principle differentiation weight calculation model includes a syndrome indicator weight matrix, a principle score calculation formula, and a composite syndrome determination threshold table; the syndrome indicator weight matrix assigns fixed initial weights to all symptom indicators under each of the eight principles, and sets cross-weight coefficients when the same symptom belongs to multiple principles; the principle score calculation formula is as follows: ; in, For the first The total score for each program For the first The total number of symptom indicators under each framework For the first The quantitative score of each symptom, For the first Symptoms in Initial weights under each program For the first Symptoms in The cross-weight correction coefficients under each program must satisfy the following constraints: , ; The composite syndrome determination threshold table presets a negative syndrome threshold. Threshold for positive results , evidence threshold , evidence threshold Threshold for Cold Syndrome Heat threshold Threshold for False Evidence Empirical threshold The syndrome type is determined by comparing the syndrome scores of each outline with the corresponding thresholds. The determination logic satisfies the following: ; in, For the first The criteria for determining the type of certificate in each program. .
[0008] Preferably, the user syndrome collection module is configured with multiple collection sub-units, including a manual selection quantitative collection sub-unit, a tongue image recognition sub-unit, and a pulse parameter input sub-unit; The manual selection quantitative data collection subunit displays a list of symptoms categorized into eight categories, with each symptom having a corresponding scoring option. The tongue image recognition subunit connects to an external image acquisition device to automatically identify the tongue color, tongue coating thickness, tongue coating color, and tongue shape, and converts them into syndrome scores corresponding to the relevant guidelines. The pulse parameter input subunit receives the input pulse data and maps it to the corresponding syndrome score.
[0009] Preferably, the evaluation record module includes a re-evaluation collection unit, an effect grading unit, and a model update unit; The re-evaluation collection unit pushes out a syndrome quantification questionnaire after the preset nursing cycle ends to obtain the re-evaluation syndrome score; The effect grading unit compares the initial diagnosis syndrome quantitative dataset with the re-evaluation quantitative dataset, and calculates the syndrome improvement rate using the following formula: ; in, For the rate of improvement of symptoms, This represents the total number of symptom indicators. The first time during the initial consultation The quantitative score of each symptom, For the second review The quantitative score of each symptom; and based on Values are used to classify nursing effectiveness labels; The model update unit stores the samples into the optimized sample library according to the nursing effect labels, and adjusts the syndrome indicator weights of the Eight Principles Differentiation Weight Calculation Model according to the following gradient formula: ; in, For the first In the first iteration The second part of the program The weight of each symptom For learning rate, To optimize the total number of valid samples in the sample library, For the first The rate of symptom improvement in each sample For the first The first sample The quantitative score of each symptom, For the first in the sample library The average score of each symptom.
[0010] Preferably, it also includes a multi-terminal hierarchical permission management module, which is connected to the user syndrome collection module, the syndrome differentiation and acupoint recommendation module, and the assessment record module respectively. It divides the operation permissions into three categories: physician permissions, community nursing permissions, and home user permissions. Different permissions correspond to different functions, and the patient's syndrome differentiation data and nursing records are stored in a hierarchical and encrypted manner.
[0011] Preferably, it also includes a HIS interface module, which is used to establish a data communication connection with the hospital information system and automatically synchronize the patient's multi-dimensional syndrome information and the results of the eight-principle syndrome differentiation.
[0012] A recommended method for auricular acupuncture care based on the Eight Principles of Differentiation includes: S1. Communicate with the hospital information system through the HIS docking module to automatically synchronize the patient's basic information. At the same time, collect the patient's multi-dimensional syndrome information through the multi-form collection sub-unit of the user syndrome collection module. Combined with the preset quantitative scoring scale, generate a structured syndrome quantitative dataset. S2. The Eight-Principle Differentiation Quantitative Classification Calculation Module calls the built-in Eight-Principle Differentiation Weight Calculation Model to calculate the syndrome score of each principle. Combining the preset thresholds of each principle and the syndrome determination formula, it determines the patient's compound Eight-Principle syndrome and outputs the Eight-Principle Differentiation Classification result. S3. The syndrome differentiation and acupoint recommendation module receives the syndrome differentiation results of the eight principles, retrieves the standard auricular acupoint combination and the complete set of supporting nursing parameters for the corresponding compound syndrome from the syndrome differentiation knowledge base module, generates the auricular acupoint nursing recommendation plan, and pushes it to the corresponding terminal according to the permission level of the multi-terminal hierarchical permission management module. S4. Conduct periodic auricular acupressure nursing based on the recommended visual auricular acupoint nursing plan. After the nursing cycle ends, collect the patient's re-evaluation syndrome score through the re-evaluation collection unit of the assessment record module and calculate the syndrome improvement rate. S5. The effect grading unit compares the quantitative data of patients' initial diagnosis and re-evaluation of syndromes, calculates the effect of nursing intervention through the syndrome improvement rate formula, and classifies nursing effect labels. S6. The model update unit stores the effective and significant nursing care samples into the optimized sample library according to the nursing effect labels. It dynamically corrects the weights of each syndrome indicator in the Eight Principles Differentiation Weight Calculation Model through the weight gradient update formula, and simultaneously optimizes the acupoint combination corresponding to the syndrome type in the differentiation knowledge base module.
[0013] As can be seen from the above technical solution, compared with the prior art, the present invention discloses an auricular acupoint nursing recommendation system and method based on the Eight Principles of Differentiation. By constructing an Eight Principles of Differentiation weight calculation model and a standardized syndrome quantitative collection system, it provides medical staff with objective and standardized auricular acupoint nursing plan auxiliary recommendations, effectively making up for the shortcomings of traditional manual acupoint selection, which is highly subjective and lacks sufficient syndrome reference. It can significantly improve the accuracy and standardization of auricular acupoint nursing intervention. At the same time, it forms a nursing effect feedback loop based on the assessment and recording module, dynamically optimizes the syndrome weight and acupoint combination based on clinical rehabilitation data, and enables the recommendation model to have adaptive iterative upgrade capabilities. Furthermore, through standardized syndrome information collection and automatic statistical analysis of efficacy data, it greatly reduces the operational threshold for specialist nurses to carry out appropriate auricular acupoint techniques, effectively improving the efficiency of clinical nursing work and the level of nursing data management. The entire system serves as a clinical nursing auxiliary decision-making tool and does not directly replace physician diagnosis. Attached Figure Description
[0014] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.
[0015] Figure 1 This is a schematic diagram of the structure provided by the present invention; Figure 2 A flowchart of the method steps provided by the present invention. Detailed Implementation
[0016] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0017] This invention discloses an auricular acupuncture care recommendation system based on the Eight Principles of Differentiation, such as... Figure 1 As shown, it includes: a user syndrome collection module, an eight-principle syndrome differentiation and quantitative classification calculation module, a syndrome differentiation knowledge base module, a syndrome differentiation acupoint recommendation module, and an evaluation record module; The user syndrome collection module is used to collect multi-dimensional syndrome information of patients in a standardized manner. The syndrome information includes basic physical constitution information, quantitative scores of systemic symptoms, local discomfort symptoms, tongue appearance characteristics, and pulse appearance characteristics. In addition, based on the syndrome manifestations corresponding to Yin and Yang, exterior and interior, cold and heat, and deficiency and excess, a quantitative scoring scale is preset according to the eight principles of syndrome differentiation. The module outputs a structured syndrome quantitative dataset and transmits it to the eight principles of syndrome differentiation quantitative classification calculation module. The Eight Principles Differentiation and Quantitative Classification Calculation Module has a built-in Eight Principles Differentiation and Weight Calculation Model. It receives a structured syndrome quantitative dataset, calculates the syndrome scores of each principle (Yin / Yang, Exterior / Interior, Cold / Heat, Deficiency / Excess), determines the patient's compound Eight Principles syndrome type based on the score threshold of each principle, and outputs the Eight Principles Differentiation and Classification results. The diagnostic knowledge base module pre-stores standard auricular acupoint combinations and corresponding nursing parameters for different eight-principle complex syndromes. The corresponding nursing parameters include auricular acupoint application time, daily pressing frequency, single stimulation intensity, Wang Bu Liu Xing seed retention period, syndrome-specific dietary restrictions, and daily care requirements. The acupoint selection recommendation module is connected to the Eight Principles of Differentiation and Quantitative Classification Calculation Module and the Differentiation Knowledge Base Module. Based on the Eight Principles of Differentiation and Classification results, it retrieves matching auricular acupoint combinations and supporting nursing parameters to generate a visual auricular acupoint nursing recommendation plan that includes the differentiation conclusion, target auricular acupoint diagram, complete standardized nursing operation process, and follow-up differentiation reminder. The assessment and recording module is used to collect quantitative data on syndrome re-evaluation and the degree of improvement in patients' sensations after completing a preset cycle of auricular acupuncture care. The re-evaluation data is then sent back to the Eight Principles Differentiation Quantitative Classification Calculation Module. Based on the effective nursing samples, the weights of each syndrome indicator in the Eight Principles Differentiation Weight Calculation Model are dynamically adjusted, and the acupoint combinations corresponding to the syndrome types in the differentiation knowledge base module are optimized.
[0018] In one specific embodiment, the syndrome differentiation knowledge base module includes an eight-principle syndrome differentiation knowledge base, which is organized in a hierarchical term structure, including a disease layer, an eight-principle syndrome differentiation layer, a syndrome type layer, a symptom term layer, and an acupoint prescription layer; the eight-principle syndrome differentiation layer classifies and labels syndrome types according to four pairs of principles: yin and yang, exterior and interior, cold and heat, and deficiency and excess, among which yin and yang is the general principle that governs the six categories of exterior and interior, cold and heat, and deficiency and excess, as shown in Table 1.
[0019] Table 1. Eight Principles of Differentiation
[0020] In one specific embodiment, the Eight-Principle Differentiation Weighting Calculation Model includes a syndrome indicator weight matrix, a principle score calculation formula, and a composite syndrome determination threshold table; the syndrome indicator weight matrix assigns fixed initial weights to all symptom indicators under each of the eight principles, and sets cross-weighting coefficients when the same symptom belongs to multiple principles; the principle score calculation formula is as follows: ; in, For the first The total score for each of the following principles (Yin / Yang / Exterior / Interior / Cold / Heat / Deficiency / Excess) For the first The total number of symptom indicators under each framework For the first The quantitative score of each symptom (range 0~5). For the first Symptoms in Initial weights under each program For the first Symptoms in The cross-weight correction coefficients under each program must satisfy the following constraints: , ; The table of thresholds for determining complex syndromes includes a preset threshold for negative syndromes. Threshold for positive results , evidence threshold , evidence threshold Threshold for Cold Syndrome Heat threshold Threshold for False Evidence Empirical threshold The syndrome type is determined by comparing the syndrome scores of each outline with the corresponding thresholds. The determination logic satisfies the following: ; in, For the first The criteria for determining the type of certificate in each program. When multiple sets of opposing key markers are simultaneously 1, it is determined to be a complex syndrome of mixed cold and heat, deficiency and excess, or exterior and interior diseases.
[0021] In one specific embodiment, the user syndrome collection module is configured with multiple collection sub-units, including a manual selection quantitative collection sub-unit, a tongue image recognition sub-unit, and a pulse parameter input sub-unit. Manually select the quantitative data collection sub-unit to display the eight-category classification symptom list. Each symptom is accompanied by a scoring option of 0-5 levels: none, mild, moderate, severe, severe, and extremely severe. The tongue image recognition subunit connects to an external image acquisition device to automatically identify the color of the tongue body, the thickness of the tongue coating, the color of the tongue coating, and the shape of the tongue body, and converts them into scores for cold / heat and deficiency / excess syndromes according to the corresponding guidelines. The pulse parameter input subunit receives pulse data (floating / sinking, slow / rapid, weak / strong) manually entered by medical staff or transmitted by pulse acquisition equipment, and maps it to the syndrome scores of the corresponding categories of exterior / interior, cold / heat, and weakness / strength.
[0022] In one specific embodiment, the dialectical acupoint recommendation module retrieves matching ear acupoint combinations and corresponding nursing parameters according to the eight principles of dialectical acupoint selection guidelines, as shown in Table 2.
[0023] Table 2. Guidelines for Acupoint Selection Based on the Eight Principles of Differentiation
[0024] In one specific embodiment, the evaluation recording module includes a re-evaluation collection unit, an effect grading unit, and a model update unit; The reassessment data collection unit will send out a syndrome quantification questionnaire after the preset nursing cycle ends to obtain the reassessment syndrome score; The effect grading unit compares the initial diagnosis syndrome quantitative dataset and the re-evaluation quantitative dataset, and calculates the syndrome improvement rate using the following formula: ; in, For the rate of improvement of symptoms, This represents the total number of symptom indicators. The first time during the initial consultation The quantitative score of each symptom, For the second review The quantitative score of each symptom; and based on Value partitioning is effective ( ),efficient( ),invalid( Level 3 nursing effect label; The model update unit stores the samples into the optimized sample library based on the nursing effect labels, and adjusts the weights of the syndrome indicators in the Eight Principles Differentiation Weight Calculation Model according to the following gradient formula: ; in, For the first In the first iteration The second part of the program The weight of each symptom For learning rate, To optimize the total number of valid samples in the sample library, For the first The rate of symptom improvement in each sample For the first The first sample The quantitative score of each symptom, For the first in the sample library The average score of each symptom.
[0025] In one specific embodiment, it also includes a multi-terminal hierarchical permission management module, which is connected to the user syndrome collection module, the syndrome differentiation and acupoint recommendation module, and the assessment record module, respectively. It divides the operation permissions into three categories: physician permissions, community nursing permissions, and home user permissions. Different permissions correspond to the functions of adjusting differentiated collection parameters, modifying syndrome differentiation models, printing plans, exporting data, and self-service consultation. It also performs hierarchical encryption storage of patient syndrome differentiation data and nursing records.
[0026] In one specific embodiment, it also includes an HIS interface module, which is used to establish a data communication connection with the hospital information system and automatically synchronize the patient's multi-dimensional syndrome information and the results of the eight-principle syndrome differentiation.
[0027] HIS Interconnection Module
[0028] Function: Establishes an interface with the hospital's HIS system to achieve automatic synchronization of patient information.
[0029] Data communication connections are established via the HL7 / FHIR standard protocol or the API interface provided by the hospital HIS system; two synchronization modes are supported: timed polling (every 5 minutes) and manual refresh; synchronized content includes patient name, gender, age, hospital number, department, bed number, admission diagnosis, and attending physician; synchronized information is automatically filled into the patient's basic information area of the assessment record module, eliminating the need for nurses to manually enter it; synchronized patients are marked with the "HIS Synchronized" tag, and manually entered patients are marked with the "Manual Entry" tag.
[0030] A recommended method for auricular acupuncture care based on the Eight Principles of Differentiation, such as Figure 2 As shown, it includes: S1. Communicate with the hospital information system through the HIS docking module to automatically synchronize the patient's basic information. At the same time, collect the patient's multi-dimensional syndrome information through the multi-form collection sub-unit of the user syndrome collection module. Combined with the preset quantitative scoring scale, generate a structured syndrome quantitative dataset. S2. The Eight-Principle Differentiation Quantitative Classification Calculation Module calls the built-in Eight-Principle Differentiation Weight Calculation Model to calculate the syndrome score of each principle. Combining the preset thresholds of each principle and the syndrome determination formula, it determines the patient's compound Eight-Principle syndrome and outputs the Eight-Principle Differentiation Classification result. S3. The syndrome differentiation and acupoint recommendation module receives the results of the eight-principle syndrome differentiation, retrieves the standard ear acupoint combination and complete set of supporting nursing parameters for the corresponding compound syndrome from the syndrome differentiation knowledge base module, generates an ear acupoint nursing recommendation plan, and pushes it to the corresponding terminal according to the permission level of the multi-terminal hierarchical permission management module. S4. Conduct periodic auricular acupressure nursing based on the recommended visual auricular acupoint nursing plan. After the nursing cycle ends, collect the patient's re-evaluation syndrome score and syndrome improvement rate through the re-evaluation collection unit of the assessment record module. S5. The effect grading unit compares the quantitative data of patients' initial diagnosis and re-evaluation of syndromes, calculates the effect of nursing intervention through the syndrome improvement rate formula, and classifies nursing effect labels. S6. The model update unit stores effective and significant nursing care samples into the optimized sample library based on the nursing effect labels. It dynamically corrects the weights of each syndrome indicator in the Eight Principles Differentiation Weight Calculation Model through the weight gradient update formula, and simultaneously optimizes the acupoint combinations corresponding to the syndrome types in the differentiation knowledge base module.
[0031] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. The methods disclosed in the embodiments are described simply because they correspond to the methods disclosed in the embodiments; relevant parts can be found in the method section.
[0032] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims
1. An auricular acupuncture point care recommendation system based on the Eight Principles of Differentiation, characterized in that, include: The module includes: User syndrome collection module, Eight-Principle Differentiation Quantitative Classification Calculation module, Differentiation Knowledge Base module, Differentiation Acupoint Recommendation module, and Assessment Record module. The user syndrome collection module is used to collect multi-dimensional syndrome information of patients in a standardized manner, preset a quantitative scoring scale according to the syndrome manifestations corresponding to the Eight Principles of Differentiation, output a structured syndrome quantitative dataset and transmit it to the Eight Principles of Differentiation quantitative classification calculation module. The Eight-Principle Differentiation and Quantitative Classification Calculation Module has a built-in Eight-Principle Differentiation and Weight Calculation Model. It receives the structured syndrome quantitative dataset, calculates the syndrome score of each principle, determines the patient's compound Eight-Principle syndrome based on the score threshold of each principle, and outputs the Eight-Principle Differentiation and Classification Result. The diagnostic knowledge base module pre-stores standard auricular acupoint combinations and corresponding nursing parameters for different eight-principle complex syndromes. The acupoint selection recommendation module is connected to the eight-principle syndrome differentiation quantitative classification calculation module and the syndrome differentiation knowledge base module. Based on the eight-principle syndrome differentiation results, it retrieves matching ear acupoint combinations and corresponding nursing parameters to generate an ear acupoint nursing recommendation plan. The assessment and recording module is used to collect quantitative data on syndrome re-evaluation and the degree of improvement in patients' sensations after completing a preset cycle of auricular acupuncture care. The re-evaluation data is then sent back to the Eight Principles Differentiation Quantitative Classification Calculation Module. Based on the effective nursing samples, the weights of each syndrome indicator in the Eight Principles Differentiation Weight Calculation Model are dynamically adjusted, and the acupoint combinations corresponding to the syndrome types in the differentiation knowledge base module are optimized.
2. The auricular acupoint care recommendation system based on the Eight Principles of Differentiation according to claim 1, characterized in that, The Eight-Principle Differentiation Weighting Model includes a syndrome indicator weight matrix, a principle score calculation formula, and a composite syndrome determination threshold table. The syndrome indicator weight matrix assigns fixed initial weights to all symptom indicators under each of the eight principles, and sets cross-weighting coefficients when the same symptom belongs to multiple principles. The principle score calculation formula is as follows: ； in, For the first The total score for each program For the first The total number of symptom indicators under each framework For the first The quantitative score of each symptom, For the first Symptoms in Initial weights under each program For the first Symptoms in The cross-weight correction coefficients under each program must satisfy the following constraints: , ; The composite syndrome determination threshold table presets a negative syndrome threshold. Threshold for positive results , evidence threshold , evidence threshold Threshold for Cold Syndrome Heat threshold Threshold for False Evidence Empirical threshold The syndrome type is determined by comparing the syndrome scores of each outline with the corresponding thresholds. The determination logic satisfies the following: ； in, For the first The criteria for determining the type of certificate in each program. .
3. The auricular acupoint care recommendation system based on the Eight Principles of Differentiation according to claim 1, characterized in that, The user syndrome collection module is configured with multiple collection sub-units, including a manual selection quantitative collection sub-unit, a tongue image recognition sub-unit, and a pulse parameter input sub-unit. The manual selection quantitative data collection subunit displays a list of symptoms categorized into eight categories, with each symptom having a corresponding scoring option. The tongue image recognition subunit connects to an external image acquisition device to automatically recognize the tongue color, tongue coating thickness, tongue coating color, and tongue shape, and converts them into syndrome scores corresponding to the relevant guidelines. The pulse parameter input subunit receives the input pulse data and maps it to the corresponding syndrome score.
4. The auricular acupoint care recommendation system based on the Eight Principles of Differentiation according to claim 1, characterized in that, The evaluation record module includes a re-evaluation collection unit, an effect grading unit, and a model update unit; The re-evaluation collection unit pushes out a syndrome quantification questionnaire after the preset nursing cycle ends to obtain the re-evaluation syndrome score; The effect grading unit compares the initial diagnosis syndrome quantitative dataset with the re-evaluation quantitative dataset, and calculates the syndrome improvement rate using the following formula: ; in, For the rate of improvement of symptoms, This represents the total number of symptom indicators. The first time during the initial consultation The quantitative score of each symptom, For the second review The quantitative score of each symptom; and based on Values are used to classify nursing effectiveness labels; The model update unit stores the samples into the optimized sample library according to the nursing effect labels, and adjusts the syndrome indicator weights of the Eight Principles Differentiation Weight Calculation Model according to the following gradient formula: ； in, For the first In the first iteration The second part of the program The weight of each symptom For learning rate, To optimize the total number of valid samples in the sample library, For the first The rate of symptom improvement in each sample For the first The first sample The quantitative score of each symptom, For the first in the sample library The average score of each symptom.
5. The auricular acupoint care recommendation system based on the Eight Principles of Differentiation according to claim 1, characterized in that, It also includes a multi-terminal hierarchical permission management module, which is connected to the user syndrome collection module, the syndrome differentiation and acupoint recommendation module, and the assessment record module respectively. It divides the operation permissions into three categories: physician permissions, community nursing permissions, and home user permissions. Different permissions correspond to different functions, and the patient's syndrome differentiation data and nursing records are stored in a hierarchical and encrypted manner.
6. The auricular acupoint care recommendation system based on the Eight Principles of Differentiation according to claim 1, characterized in that, It also includes an HIS interface module, which is used to establish a data communication connection with the hospital information system and automatically synchronize the patient's multi-dimensional syndrome information and the results of the eight-principle syndrome differentiation.
7. A method for recommending auricular acupuncture care based on the Eight Principles of Differentiation, applied to the auricular acupuncture care recommendation system based on the Eight Principles of Differentiation as described in any one of claims 1-6, characterized in that, include: S1. Communicate with the hospital information system through the HIS docking module to automatically synchronize the patient's basic information. At the same time, collect the patient's multi-dimensional syndrome information through the multi-form collection sub-unit of the user syndrome collection module. Combined with the preset quantitative scoring scale, generate a structured syndrome quantitative dataset. S2. The Eight-Principle Differentiation Quantitative Classification Calculation Module calls the built-in Eight-Principle Differentiation Weight Calculation Model to calculate the syndrome score of each principle. Combining the preset thresholds of each principle and the syndrome determination formula, it determines the patient's compound Eight-Principle syndrome and outputs the Eight-Principle Differentiation Classification result. S3. The syndrome differentiation and acupoint recommendation module receives the syndrome differentiation results of the eight principles, retrieves the standard auricular acupoint combination and the complete set of supporting nursing parameters for the corresponding compound syndrome from the syndrome differentiation knowledge base module, generates the auricular acupoint nursing recommendation plan, and pushes it to the corresponding terminal according to the permission level of the multi-terminal hierarchical permission management module. S4. Conduct periodic auricular acupressure nursing based on the recommended visual auricular acupoint nursing plan. After the nursing cycle ends, collect the patient's re-evaluation syndrome score through the re-evaluation collection unit of the assessment record module and calculate the syndrome improvement rate. S5. The effect grading unit compares the quantitative data of patients' initial diagnosis and re-evaluation of syndromes, calculates the effect of nursing intervention through the syndrome improvement rate formula, and classifies nursing effect labels. S6. The model update unit stores the effective and significant nursing care samples into the optimized sample library according to the nursing effect labels. It dynamically corrects the weights of each syndrome indicator in the Eight Principles Differentiation Weight Calculation Model through the weight gradient update formula, and simultaneously optimizes the acupoint combination corresponding to the syndrome type in the differentiation knowledge base module.