Traditional Chinese medicine vertigo dialectical quantitative evaluation method and system

Abstract

The invention relates to a traditional Chinese medicine vertigo dialectical quantitative evaluation method and system, and belongs to the crossing field of traditional Chinese medicine intellectualization and medical information technology.The method comprises the steps that a four-diagnosis information separation and collection module is used for obtaining a structured inquiry scale and a standardized observation and sniffing diagnosis code from a patient end and a doctor end respectively, and tongue and pulse information is generated based on digital analysis; converting the symptoms into quantitative scores by utilizing a dynamic quantization and assignment engine and combining a rule for improving the data weight of a doctor end; through an intelligent dialectical decision core, a hierarchical dynamic diagnosis threshold value is adopted to judge definite diagnosis, clinical diagnosis, facultative syndrome and syndrome tendency levels, a conflict arbitration mechanism with tongue pulse as an excellent is set, and a dialectical result is output; a parallel safety early warning path is integrated, inquiry keywords are scanned in real time to trigger emergency treatment alarms, objectivity of traditional Chinese medicine sign information is improved fundamentally, quantitative score assignment and intelligent decision making are combined, and the core pain points that traditional Chinese medicine dizziness is high in subjectivity and insufficient in standardization are systematically solved.

Description

Technical Field

[0001] This invention relates to the field of interdisciplinary technology of traditional Chinese medicine information processing technology and artificial intelligence, and more specifically, to a quantitative assessment method and system for vertigo diagnosis in traditional Chinese medicine. Background Technology

[0002] Dizziness is a common symptom in Traditional Chinese Medicine (TCM) internal medicine. Its syndrome differentiation is clearly defined in the textbook *Internal Medicine of Traditional Chinese Medicine*, mainly including five patterns: Liver Yang Rising, Phlegm-Dampness Obstructing the Upper Body, Qi and Blood Deficiency, Kidney Essence Insufficiency, and Blood Stasis Obstructing the Orifices. Traditional syndrome differentiation relies on the physician's personal experience, making a subjective and comprehensive judgment through observation, auscultation, inquiry, and palpation. While it has its essence, it also has the following significant shortcomings: 1. Lack of standardization: Different physicians may have different understandings of the symptoms and make different judgments on the syndrome of the same patient; 2. Poor reproducibility: Lack of objective records and quantitative standards makes it difficult to conduct efficacy assessments and academic exchanges; 3. Safety risks: During the consultation, the "red flag sign" that may indicate a stroke or other acute and critical illness may be overlooked, delaying treatment; 4. Low succession efficiency: The training cycle for young physicians is long.

[0003] Current TCM auxiliary diagnostic systems mostly use single, fixed score thresholds to determine syndrome types. This "one-size-fits-all" approach ignores the inherent probability and uncertainty of clinical diagnosis, and cannot accurately reflect the different levels of diagnostic confidence such as "suspected diagnosis," "clinical diagnosis," and "confirmed diagnosis." Their conclusions are often too arbitrary, disconnected from the real and complex clinical thinking process, fail to strictly follow authoritative diagnostic standards in building a knowledge base, and fail to reflect the TCM clinical thinking of "integrating the four diagnostic methods, especially emphasizing tongue and pulse diagnosis" at the algorithm level. As a result, the clinical acceptance and reliability of their conclusions are insufficient. There is a need for an objective, accurate, safe, and strictly TCM-based quantitative assessment method and system for TCM vertigo syndrome differentiation. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a quantitative assessment method for TCM vertigo diagnosis and treatment, and a quantitative assessment system for TCM vertigo diagnosis and treatment, in view of the above-mentioned defects of the prior art.

[0005] The technical solution adopted by this invention to solve its technical problem is: A quantitative assessment method for TCM-based vertigo diagnosis is constructed, comprising the following steps: Receive patient consultation data based on standardized scales; It receives observation, auscultation and palpation data input by doctors. Among them, the tongue image in the observation data and the pulse image in the palpation data are predefined standardized medical codes generated after digital analysis of the collected physical signals. Based on the pre-stored syndrome-symptom mapping database, the collected four diagnostic data are converted into quantitative scores corresponding to five core TCM dizziness syndromes: liver yang hyperactivity, phlegm turbidity obstructing the upper body, qi and blood deficiency, kidney essence deficiency, and blood stasis obstructing the orifices. Among them, the scores assigned to the data from inspection, auscultation and palpation are given a higher weight coefficient than those from patient consultation data. For each syndrome type, the weighted scores of all related symptoms are aggregated to generate a total syndrome score; The total score of the syndrome type is compared with the preset hierarchical dynamic diagnostic threshold, which includes at least the confirmed diagnosis threshold, the clinical diagnosis threshold, the concurrent syndrome threshold, and the syndrome tendency threshold. Based on the threshold range of the total score of the syndrome type, the corresponding diagnostic conclusion level is output; When there is a logical conflict between the syndrome conclusions supported by diagnostic data from different sources, the conflict arbitration rule shall be applied, and the syndrome conclusions based on standardized tongue and pulse codes shall be given priority.

[0006] The quantitative assessment method for TCM vertigo diagnosis described in this invention includes, as a whole, a predefined standardized medical code generated from the pulse diagnosis data based on the digital analysis of the collected physical signals, comprising: The pressure pulse wave signal at the radial artery was collected using a pulse diagnostic instrument; The morphological and dynamic characteristic parameters of the waveform are extracted, including: the amplitude of the main wave, the amplitude of the diphthong wave, the slope of the rising branch, and the coefficient of variation of the waveform period. The feature parameters are input into a pre-trained pulse classification model, which outputs the corresponding standardized pulse code, where: The pulse string code corresponds to waveform characteristics such as a steep main wave and a significant weakening or disappearance of the diphthoplasty wave; The pulse slip code corresponds to the waveform characteristics of a smooth rise and fall of the pulse wave and a relatively high amplitude of the dicrotic wave. The weak pulse code corresponds to waveform characteristics of extremely low pulse amplitude, blurred or deformed shape, and significantly reduced wave energy. The code for a rough pulse corresponds to a waveform feature where the pulse wave is slow and the peaks and troughs are irregular and abrupt. The pulse code corresponds to a pulse amplitude below the normal threshold, but with a clear waveform periodic structure and a narrow and sharp overall waveform characteristic.

[0007] The quantitative assessment method for TCM vertigo diagnosis described in this invention includes, among other things, a predefined standardized medical code generated from the tongue image in the visual diagnosis data based on the digital analysis of the collected physical signals, comprising: Digital images of the tongue are acquired using a tongue image acquisition device; The color characteristics of the tongue body and tongue coating were analyzed in a standard color space, and the texture of the tongue coating was evaluated through image texture analysis. Based on the analysis results, the corresponding standardized tongue image code is output, where: The tongue red code corresponds to an image feature where the average R value of the main body region of the tongue is greater than 180 and the average G value is less than 70. The pale tongue code corresponds to image features where the average R value of the main body of the tongue is in the range of 150-170. The yellow tongue coating code corresponds to an image feature where the Hue value of the tongue coating area falls within the yellow feature range. The code for a white, greasy tongue coating corresponds to an image feature where the color value of the tongue coating area is close to white and the texture is dense. The thin coating code corresponds to the low pixel coverage of the tongue coating area, and the image feature that the tongue body background color has high transparency under the coating. The tongue ecchymosis code corresponds to image features in the tongue image that present patches or stripes that conform to the RGB or HSV threshold range and deviate from the normal tongue color texture base.

[0008] The quantitative assessment method for TCM vertigo syndrome differentiation described in this invention includes a syndrome-symptom mapping database containing structured data based on the diagnostic criteria for vertigo in TCM internal medicine. The specific scoring rules include: In the syndrome of liver yang hyperactivity: dizziness and headache are assigned 2 base points, facial redness and red eyes are assigned 2 base points, irritability and bitter taste in the mouth are assigned 1 base point, insomnia and dreaminess are assigned 1 base point, symptoms aggravated by fatigue and anger are assigned 1 base point, red tongue with yellow coating is assigned 2 base points, and wiry pulse is assigned 2 base points. In the syndrome of phlegm obstructing the upper body: symptoms of heaviness in the head and dizziness are assigned 2 base points; symptoms of chest tightness and nausea are assigned 2 base points; symptoms of vomiting phlegm are assigned 1 base point; symptoms of poor appetite and excessive sleep are assigned 1 base point; the code for white and greasy tongue coating is assigned 2 base points; and the code for slippery pulse is assigned 2 base points. In the syndrome of Qi and Blood Deficiency: dizziness aggravated by movement and triggered by fatigue is assigned a base score of 2 points; fatigue and weakness are assigned a base score of 2 points; pale or sallow complexion is assigned a base score of 1 point; palpitations and insomnia are assigned a base score of 1 point; poor appetite and abdominal distension are assigned a base score of 1 point; pale tongue is assigned a base score of 2 points; and weak pulse is assigned a base score of 2 points. In the case of kidney essence deficiency syndrome: 2 points are assigned to the following symptoms: persistent dizziness; 2 points are assigned to the following symptoms: soreness and weakness of the lower back and knees; 1 point is assigned to the following symptoms: tinnitus; 1 point is assigned to the following symptoms: seminal emission; 1 point is assigned to the following symptoms: irritability and dry mouth; 2 points are assigned to the following symptoms: red tongue with thin coating; 2 points are assigned to the following symptoms: thready pulse. In the syndrome of blood stasis obstructing the orifices: dizziness, headache, and pain like needle pricks are assigned 2 basic points; pain with a fixed location is assigned 2 basic points; dark or dull complexion is assigned 1 basic point; insomnia and forgetfulness are assigned 1 basic point; palpitations are assigned 1 basic point; tongue stasis is assigned 2 basic points; and choppy pulse is assigned 2 basic points.

[0009] The quantitative assessment method for TCM vertigo diagnosis described in this invention, wherein the weighting of the scores assigned to data derived from inspection, auscultation, and palpation is higher than that derived from patient interview data includes: The actual scores for both the standardized tongue and pulse codes are the product of the base score and 1.5.

[0010] The quantitative assessment method for TCM vertigo differentiation according to the present invention, wherein the hierarchical dynamic diagnostic threshold is configured as follows: When the total score of a syndrome reaches or exceeds the diagnostic threshold, the syndrome is determined to be a confirmed case. When the total score of a syndrome reaches or exceeds the clinical diagnostic threshold but is lower than the confirmed diagnosis threshold, the syndrome is determined to be of clinical diagnostic grade. When the total score of a syndrome reaches or exceeds the threshold for concurrent syndromes but is lower than the clinical diagnostic threshold, the syndrome is determined to be a concurrent syndrome. When the total score of the syndrome type reaches or exceeds the syndrome tendency threshold but is lower than the concurrent syndrome threshold, the syndrome type is determined to have a syndrome tendency. Wherein, the diagnostic threshold is higher than the clinical diagnostic threshold, the clinical diagnostic threshold is higher than the concurrent syndrome threshold, and the concurrent syndrome threshold is higher than the syndrome tendency threshold.

[0011] The quantitative assessment method for TCM vertigo diagnosis and treatment described in this invention includes: The diagnostic threshold is 9 points; The clinical diagnostic threshold is 8 points; The threshold for concurrent evidence is 6-7 points; The threshold for the syndrome tendency is 4-5 points.

[0012] The quantitative assessment method for TCM vertigo syndrome differentiation described in this invention, wherein the hierarchical dynamic diagnostic threshold can be configured differently according to the clinical characteristics of different syndrome types: For the syndromes of liver yang hyperactivity, qi and blood deficiency, blood stasis obstructing the orifices, and kidney essence deficiency, the clinical diagnostic threshold is set to 8 points. The clinical diagnostic threshold for the phlegm-dampness syndrome is set at 7 points.

[0013] The quantitative assessment method for TCM vertigo diagnosis and treatment according to the present invention includes the following steps: The system monitors in real time whether the input consultation data contains keywords from a predefined set of critical and severe illness keywords; if the keyword is identified, an emergency interruption command is generated and triggered to suspend the routine diagnosis process and output an emergency alarm.

[0014] A quantitative assessment system for TCM vertigo syndrome differentiation is provided to implement the TCM vertigo syndrome differentiation quantitative assessment method described above. The system includes a first input unit, a second input unit, a syndrome-symptom mapping database, a data transformation unit, and a hierarchical dynamic diagnosis unit. The first input unit is used to receive consultation data based on a standardized scale input by the patient; The second input unit is used to receive the inspection, auscultation and palpation data input by the doctor. The tongue image in the inspection data and the pulse image in the palpation data are both predefined standardized medical codes generated after digital analysis of the collected physical signals. The data transformation unit is used to transform the collected diagnostic data from the four diagnostic methods into quantitative scores corresponding to five core TCM dizziness syndromes: liver yang hyperactivity, phlegm turbidity obstructing the upper body, qi and blood deficiency, kidney essence deficiency, and blood stasis obstructing the orifices, based on a pre-stored syndrome-symptom mapping database. Among them, the scores assigned to the data from the four diagnostic methods of inspection, auscultation and olfaction, and palpation are given a higher weighting coefficient than those from the data from patient consultation. For each syndrome, the weighted scores of all its related symptoms are aggregated to generate a total syndrome score. The hierarchical dynamic diagnostic unit is used to compare the total score of the syndrome type with the preset hierarchical dynamic diagnostic thresholds. The hierarchical dynamic diagnostic thresholds include at least the confirmed diagnosis threshold, the clinical diagnosis threshold, the concurrent syndrome threshold, and the syndrome tendency threshold. Based on the threshold range in which the total score of the syndrome type is located, the corresponding diagnostic conclusion level is output. When there is a logical conflict between the syndrome type conclusions supported by the four diagnostic methods data from different sources, the conflict arbitration rules are executed, and the syndrome type conclusion based on the standardized tongue image code and the standardized pulse image code is adopted first.

[0015] The beneficial effects of this invention are as follows: 1. Enhance objectivity and standardization: By quantifying and standardizing, the interference of subjective factors is reduced, making the dialectical process based on evidence and the results verifiable.

[0016] 2. Ensuring the clinical reliability of conclusions: Through dynamic weighting and conflict arbitration, the system's conclusions are ensured to be consistent with the clinical thinking of high-level TCM physicians.

[0017] 3. Enhanced medical safety: The parallel early warning mechanism sets up a safety net for vertigo diagnosis, effectively reducing the risk of missing diagnosis of acute and critical illnesses.

[0018] 4. Improve diagnostic and treatment efficiency: The system can quickly process information, provide structured suggestions, assist young physicians in rapid growth, and improve overall diagnostic and treatment efficiency.

[0019] 5. Gradient and refined diagnostic conclusions: Through multi-level thresholds, the system can output gradient conclusions from "probability" to "confirmation", which is more in line with the diagnostic thinking in clinical practice.

[0020] 6. Highly realistic decision-making process: This mechanism simulates the progressive reasoning process of a senior physician from initial suspicion to final diagnosis, which is an important breakthrough in human-machine collaborative diagnosis.

[0021] 7. Higher clinical acceptance: Gradual conclusions avoid arbitrary diagnoses, are easily understood and adopted by clinicians, and facilitate human-computer interaction and discussion.

[0022] 8. Flexible adaptability: Dynamic thresholds allow for differentiated settings based on the pathological characteristics and diagnostic difficulty of different syndrome types, making the system's decision-making more flexible and accurate. Attached Figure Description

[0023] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the present invention will be further described below in conjunction with the accompanying drawings and embodiments. The drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort: Figure 1 This is a flowchart of a preferred embodiment of the traditional Chinese medicine dizziness diagnosis and quantitative assessment method. Figure 2 This is a block diagram illustrating the principle of a TCM dizziness diagnosis and quantitative assessment system according to a preferred embodiment of the present invention. Detailed Implementation

[0024] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, a clear and complete description will be provided below in conjunction with the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the protection scope of the present invention.

[0025] The preferred embodiment of the present invention is a quantitative assessment method for TCM vertigo diagnosis, such as... Figure 1 As shown, the steps include: S01: Receives patient-inputted consultation data based on standardized scales; receives doctor-inputted observation, auscultation and palpation data, where the tongue image in the observation data and the pulse image in the palpation data are predefined standardized medical codes generated after digital analysis of the collected physical signals. S02: Based on a pre-stored syndrome-symptom mapping database, the collected diagnostic data is transformed into quantitative scores corresponding to five core TCM dizziness syndromes: liver yang hyperactivity, phlegm turbidity obstructing the upper body, qi and blood deficiency, kidney essence deficiency, and blood stasis obstructing the orifices. Among them, the scores assigned to the data from inspection, auscultation and palpation are given a higher weighting coefficient than those from patient consultation data. For each syndrome, the weighted scores of all related symptoms are aggregated to generate a total syndrome score. S03: Compare the total score of the syndrome type with the preset hierarchical dynamic diagnostic threshold. The hierarchical dynamic diagnostic threshold includes at least the confirmed diagnosis threshold, the clinical diagnosis threshold, the concurrent syndrome threshold, and the syndrome tendency threshold. S04: Output the corresponding diagnostic conclusion level based on the threshold range of the total score of the syndrome type; when there is a logical conflict between the syndrome type conclusions supported by the four diagnostic methods data from different sources, execute the conflict arbitration rules and adopt the syndrome type conclusion based on the standardized tongue image code and the standardized pulse image code. The method described in this application has at least the following advantages: 1. Enhance objectivity and standardization: By quantifying and standardizing, the interference of subjective factors is reduced, making the dialectical process based on evidence and the results verifiable.

[0026] 2. Ensuring the clinical reliability of conclusions: Through dynamic weighting and conflict arbitration, the system's conclusions are ensured to be consistent with the clinical thinking of high-level TCM physicians.

[0027] 3. Enhanced medical safety: The parallel early warning mechanism sets up a safety net for vertigo diagnosis, effectively reducing the risk of missing diagnosis of acute and critical illnesses.

[0028] 4. Improve diagnostic and treatment efficiency: The system can quickly process information, provide structured suggestions, assist young physicians in rapid growth, and improve overall diagnostic and treatment efficiency.

[0029] 5. Gradient and refined diagnostic conclusions: Through multi-level thresholds, the system can output gradient conclusions from "probability" to "confirmation", which is more in line with the diagnostic thinking in clinical practice.

[0030] 6. Highly realistic decision-making process: This mechanism simulates the progressive reasoning process of a senior physician from initial suspicion to final diagnosis, which is an important breakthrough in human-machine collaborative diagnosis.

[0031] 7. Higher clinical acceptance: Gradual conclusions avoid arbitrary diagnoses, are easily understood and adopted by clinicians, and facilitate human-computer interaction and discussion.

[0032] 8. Flexible adaptability: Dynamic thresholds allow for differentiated settings based on the pathological characteristics and diagnostic difficulty of different syndrome types, making the system's decision-making more flexible and accurate.

[0033] Specifically, this application logically constructs four core collaborative units: 1. Separate Acquisition and Objectification Unit for Four Diagnostic Methods: Its fundamental innovation lies in integrating hardware (tongue image camera, pulse diagnostic instrument) and software algorithms to transform the most core and subjective processes of tongue and pulse diagnosis into objective digital signal analysis problems. Tongue images generate color and texture codes through image analysis, while pulse images generate morphological codes through pulse wave analysis, eliminating human perception differences at the source and laying a reliable data foundation for subsequent quantification.

[0034] 2. Dynamic Quantification and Scoring Unit: The innovation of this unit lies in combining the objectified tongue and pulse codes with symptom scores, and through dynamic weighting at the algorithm level (preferably 1.5 times), giving these objective signs higher decision weights in the final decision, simulating the thinking process of clinical experts who "abandon symptoms and follow pulse" and "abandon symptoms and follow tongue".

[0035] 3. Intelligent Diagnostic Decision Unit Based on Hierarchical Dynamic Thresholds: This mechanism establishes four continuous diagnostic level intervals: confirmed diagnosis, clinical diagnosis, concurrent symptoms, and syndrome tendency. This ensures that the system's output is no longer a simple "yes" or "no," but rather a gradient diagnostic conclusion that accurately reflects the current strength of evidence. This not only greatly improves the scientific rigor and clinical relevance of the diagnostic results, but also provides physicians with clear diagnostic thinking and decision support. For example, it suggests focusing on syndromes with "syndrome tendency" or implementing targeted treatment for syndromes that have reached the "confirmed diagnosis" level.

[0036] 4. Parallel Safety Early Warning Unit: This unit is independent of the main diagnostic process and constructs a continuous safety monitoring channel to perform real-time keyword scanning on patient input information to ensure medical safety.

[0037] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments: System hardware and software environment: The system is deployed on a cloud server. Patients fill out a consultation questionnaire through a terminal, while the doctor's workstation integrates a tongue image acquisition camera under standard light source and a single-channel pressure pulse diagnostic instrument. The backend service is responsible for complex image recognition, signal processing and intelligent decision-making.

[0038] The doctor's workstation integrates or connects to a medical-standard single-point or multi-point pressure pulse diagnostic instrument to collect pulse wave signals from the radial artery at the cun, guan, and chi positions.

[0039] Data preparation and knowledge base construction: 1. Digital analysis of pulse diagnosis is achieved through the following steps: Signal acquisition: The pulse diagnostic instrument acquires the pressure pulse wave sequence at the radial artery at a sampling rate of not less than 1000Hz for at least 30 complete cycles.

[0040] Preprocessing: The original signal is filtered for noise reduction, baseline drift correction is performed, and period segmentation is performed.

[0041] Feature extraction: The following key morphological and dynamic parameters are extracted from each periodic waveform: Amplitude parameters: main wave height (h1), diphtheria wave height (h3), descending isthmus height (h4), etc., are used to calculate ratios such as h3 / h1 (reflecting slippery pulse) and h4 / h1 (reflecting stringy pulse).

[0042] Time parameters: rising phase time, systolic phase time, diastolic phase time, etc.

[0043] Morphological parameters: slope of the rising branch (reflecting pulse force), waveform area, and feature points based on the first and second derivatives of the waveform.

[0044] Rhythm parameter: Coefficient of variation of time difference between adjacent cycles (reflecting the irregularity of the hesitant pulse).

[0045] Code mapping: The extracted feature parameter vector is input into a pulse classification model trained on a large amount of clinical data (such as a support vector machine or deep learning network), and the most probable standardized pulse code is output. For example: When the slope of the rising branch is high and the h4 / h1 ratio is higher than the string pulse determination threshold (T1), the model determines it as a "string pulse".

[0046] When the h3 / h1 ratio is higher than the slippery pulse determination threshold (T2) and the waveform fluctuates smoothly, the model determines it as a "slippery pulse".

[0047] When the overall amplitude is below the weak pulse determination threshold (T3) and the upward slope is gentle, the model determines it as a "weak pulse".

[0048] When the period variation coefficient is greater than the threshold for determining a choppy pulse (T4) and the waveform has obvious pauses, the model determines it as a "choppy pulse".

[0049] When the overall amplitude is lower than the weak pulse determination threshold (T3) and the upward slope is high, the model determines it as a "micropulse".

[0050] 2. Digitalization process for tongue imaging: Image acquisition and segmentation: After acquiring the image, segmentation networks such as U-Net are used to accurately separate the tongue body and tongue coating regions.

[0051] Color analysis: The average color values ​​of the tongue body and tongue coating were analyzed in sRGB and HSV spaces, respectively.

[0052] Texture analysis: Gray-level co-occurrence matrix (GLCM) analysis is performed on the tongue coating area to calculate features such as entropy and contrast, and to determine the "greasiness" and "roughness" of the coating.

[0053] 3. Data preparation and knowledge base construction: First, based on the classic theories and clinical guidelines of "Internal Medicine in Traditional Chinese Medicine", a core knowledge base is constructed: Syndrome-Symptom Mapping Database: This is a relational database. For example: 1. Symptom Mapping Table for Liver Yang Rising Syndrome

[0054] 2. Symptom Mapping Table for Phlegm-Dampness Obstructing the Upper Body

[0055] 3. Symptom Mapping Table for Qi and Blood Deficiency Syndrome

[0056] 4. Symptom Mapping Table for Kidney Essence Deficiency Syndrome

[0057] 5. Symptom Mapping Table for Blood Stasis Obstructing the Orifices

[0058] Emergency terminology: Maintain a terminology file containing keywords such as "limb numbness", "projectile vomiting", "blurred vision", "loss of consciousness", and "severe headache".

[0059] Example 1: Diagnosis based on a single syndrome (liver yang hyperactivity syndrome) 1. Information Collection and Objectification (S1): 1. Information Collection and Objectification (S1): Patient's medical history: Patient complains of "dizziness and headache" (2 points), "flushed face and red eyes" (2 points), "irritability and bitter taste in mouth" (1 point). Total medical history: 5 points.

[0060] Digital tongue image acquisition: The system analyzes the tongue image, with a color value of R=195 and G=45, classifying it as "red tongue with yellow coating". Base score: 2 points; weighted score: 3 points.

[0061] Digital pulse diagnosis: The pulse diagnostic instrument collects signals, and the analysis shows that the main wave is steep and the dicrotic wave disappears, which is judged as "wiry pulse". Base score: 2 points, weighted score: 3 points.

[0062] 2. Dynamic Quantitative Scoring (S2): The total score for Liver Yang Rising Syndrome = 5 (inquiry) + 3 (tongue) + 3 (pulse) = 11 points.

[0063] 3. Intelligent dialectical decision-making based on hierarchical thresholds (S3): The system sets the following thresholds for liver yang hyperactivity syndrome: 9 points for diagnosis, 8 points for clinical diagnosis, and 5 points for concurrent symptoms.

[0064] Decision: Total score of 11 points ≥ Confirmed diagnosis threshold of 9 points.

[0065] Output conclusion: { Diagnostic Conclusion: { "Main Evidence": { Syndrome type: Liver Yang Rising Syndrome Diagnostic grade: Confirmed }, "Concurrent evidence": [] }, "Evidence for Dialectical Analysis": [ {"Symptoms": "Dizziness, headache", "Score": 2, "Source": "Patient"}, {"Symptoms": "Flushed face and red eyes", "Score": 2, "Source": "Patient"}, {"Symptoms": "Irritability and anger", "Score": 1, "Source": "Patient"}, {"Symptoms": "Red tongue with yellow coating", "Score": 3, "Source": "Doctor (objective weighted)"}, {"Symptoms": "Wiry pulse", "Score": 3, "Source": "Doctor (Objective Weighted)"} ], Total Score: 11 Confidence level: High Emergency Alert: Negative }

[0066] Example 2: Diagnosis of concurrent syndromes (primarily phlegm-dampness obstructing the upper body, with blood stasis obstructing the orifices as a secondary syndrome). Information Collection and Objectification (S1): Patient's medical history: "Heavy head" (2 points), "Chest tightness, vomiting phlegm" (2 points), "Stinging headache" (2 points), "Insomnia and forgetfulness" (1 point). Total medical history: 7 points.

[0067] Digital tongue image acquisition: The system analyzes the image, and the tongue coating is white and the texture is dense, which is judged as "white and greasy tongue coating" (base score 2 points); at the same time, it identifies dark purple spots on the edge of the tongue with a coverage rate of >15%, which is judged as "tongue stasis" (base score 2 points). Total weighted score for tongue image = (2+2) * 1.5 = 6 points.

[0068] Digital pulse diagnosis: The pulse diagnosis instrument analysis showed that the pulse wave was smooth and undulating, with a high amplitude of dicrotic waves, which was judged as "slippery pulse" (base score 2 points). Weighted score: 3 points.

[0069] 2. Dynamic Quantitative Scoring (S2): The total score for the phlegm-dampness obstructing the upper body is (2+2) [heaviness in the head, chest tightness, nausea and vomiting] + 3 [slippery pulse] + 3 [weight of the white and greasy tongue coating] = 8 points.

[0070] Note: A white, greasy tongue coating is only counted under phlegm-dampness syndrome, and a tongue with petechiae is only counted under blood stasis syndrome.

[0071] The total score for the syndrome of blood stasis obstructing the orifices is calculated as follows: 2 points for "head pain" + 1 point for "insomnia and forgetfulness" + 3 points for "tongue stasis" = 6 points.

[0072] 3. Intelligent dialectical decision-making based on hierarchical thresholds (S3): The system sets a clinical diagnostic threshold of 7 points for phlegm-dampness obstructing the upper body and a threshold of 6 points for blood stasis obstructing the orifices.

[0073] decision making: The total score of phlegm-dampness obstructing the upper body is 8 points or higher than the clinical diagnostic threshold of 7 points, and is determined to be the main symptom (clinical diagnosis).

[0074] If the total score for the syndrome of blood stasis obstructing the orifices is 6 points or higher than the threshold of 6 points for concurrent symptoms, it is determined to be a concurrent syndrome.

[0075] Output conclusion: { Diagnostic Conclusion: { "Main Evidence": { Syndrome type: Phlegm-dampness obstructing the upper body Diagnostic grade: Clinical diagnosis }, "Concurrent evidence": [ { Syndrome type: "Blood stasis obstructing the orifices" "Diagnostic Grade": "Concurrent Symptoms" } ] }, "Dialectical Basis": { "Phlegm-dampness obstructing the upper body syndrome": [ {"Symptoms": "Heavy head", "Score": 2, "Source": "Patient"}, {"Symptoms": "Chest tightness, vomiting phlegm", "Score": 2, "Source": "Patient"}, {"Symptoms": "White and greasy tongue coating", "Score": 3, "Source": "Doctor (objective weighted)"}, {"Symptom": "Slippery pulse", "Score": 3, "Source": "Doctor (Objective Weighted)"} ], "Blood stasis obstructing the orifices syndrome": [ {"Symptoms": "Insomnia and forgetfulness", "Score": 1, "Source": "Patient"}, {"Symptoms": "Painful tongue", "Score": 3, "Source": "Doctor (Objective Weighted)"} ] }, "Pathogenesis Analysis": "This suggests a mutual binding of phlegm and blood stasis, primarily due to phlegm obstructing the upper body, with blood stasis obstructing the orifices as a secondary factor." Emergency Alert: Negative }

[0076] Example 3: Combined Application of Conflict Arbitration Mechanism and Threshold System 1. Information Collection and Objectification (S1): Patient's medical history (showing signs of deficiency): "Dizziness worsens with movement" (2 points), "fatigue and weakness" (2 points), "palpitations" (1 point). Total medical history: 5 points, highly indicating deficiency of Qi and blood.

[0077] Digital tongue image acquisition (presenting a real image): System analysis shows "red tongue with yellow coating". Base score: 2 points, weighted score: 3 points.

[0078] Digital pulse image acquisition (presenting a real image): The system analysis is "pulse string". Base score: 2 points, weighted score: 3 points.

[0079] 2. Dynamic Quantitative Scoring (S2): The total score for Qi and Blood Deficiency Syndrome = 5 (diagnosis) + 0 (tongue and pulse do not support) = 5 points.

[0080] The total score for Liver Yang Rising Syndrome = 0 (not supported by the consultation) + 3 (tongue) + 3 (pulse) = 6 points.

[0081] 3. Intelligent dialectical decision-making based on hierarchical thresholds (S3): Conflict trigger: The medical history supports the deficiency syndrome (5 points), while the objective tongue and pulse findings support the excess syndrome (6 points).

[0082] The conflict arbitration rule was activated: based on the principle of "tongue and pulse priority", the system adopted the conclusion of liver yang hyperactivity syndrome.

[0083] Threshold determination: The total score for Liver Yang Rising Syndrome is 6 points. The clinical diagnostic threshold set for Liver Yang Rising Syndrome in this system is 8 points. Due to the application of conflict arbitration rules, the system downgrades the score.

[0084] Final decision: The total score of Liver Yang Rising Syndrome was 6 points. Although it did not reach the clinical diagnostic threshold, it was still determined to be the main syndrome (clinical diagnosis) under the conflict arbitration, and an important suggestion was given.

[0085] Output conclusion: { Diagnostic Conclusion: { "Main Evidence": { Syndrome type: Liver Yang Rising Syndrome Diagnostic grade: "Clinical diagnosis" Arbitration marker: "Yes" }, "Concurrent evidence": [] }, "Dialectical Basis": { "Liver Yang Rising Syndrome": [ {"Symptoms": "Red tongue with yellow coating", "Score": 3, "Source": "Doctor (objective weighted)"}, {"Symptoms": "Wiry pulse", "Score": 3, "Source": "Doctor (Objective Weighted)"} ] }, Special Note: "

Conflicting Information and Arbitration Tips

[0086] Clinical value: The above three embodiments systematically demonstrate the powerful capabilities of this invention in real clinical scenarios: Example 1 demonstrates that the system can provide a high-confidence single-symptom diagnosis when there is sufficient evidence.

[0087] Example 2 demonstrates how the system can handle complex concurrent syndromes through precise score calculation and threshold judgment, and provides a pathogenesis analysis.

[0088] Example 3 is the most innovative, demonstrating how the conflict arbitration mechanism and the hierarchical threshold system work together to make decisions in accordance with traditional Chinese medicine theory when processing conflicting information. At the same time, it can maintain prudence through "arbitration marks" and "special notes" and return the final in-depth judgment to the doctor, thus achieving truly valuable "human-machine collaboration".

[0089] As the legal applicant of this patent application, I hereby solemnly declare that all the technical content contained in this invention, "Quantitative Assessment System for Diagnosis of Vertigo in Traditional Chinese Medicine," is the result of my independent and original intellectual labor, possessing outstanding substantive features and significant progress. Its innovation is specifically reflected in the following multiple levels of original design and synergistic integration: A fundamental methodological innovation: This invention constructs a closed loop for TCM diagnosis, encompassing "objective data acquisition → dynamic quantification → intelligent decision-making." For the first time in TCM diagnosis, it represents a paradigm shift from subjective experience-based judgment to objective quantitative analysis. Through the separate acquisition and objectification of information from the four diagnostic methods (palpation, auscultation, and olfaction), and particularly by integrating digital analysis models for tongue images and pulse waves, the most crucial and often ambiguous signs of tongue and pulse diagnosis are transformed from the data source into calculable and verifiable standardized codes, laying an unprecedented foundation of objectivity for the entire system.

[0090] Innovation in the core algorithm model: An intelligent decision-making mechanism combining "hierarchical dynamic thresholds" and "weighted conflict arbitration" is proposed. This invention completely abandons the single, rigid judgment threshold and pioneers a hierarchical dynamic threshold system (including levels such as confirmed diagnosis, clinical diagnosis, concurrent symptoms, and syndrome tendency) applicable to TCM syndrome differentiation. This enables diagnostic output to accurately reflect the strength of clinical evidence, achieving a qualitative leap from "presence / absence judgment" to "degree judgment." Simultaneously, the conflict arbitration rule embedded in the system, prioritizing objective tongue and pulse codes, simulates the clinical thinking of experienced physicians who "abandon symptoms and follow pulse diagnosis," effectively solving the diagnostic problem when symptom information contradicts each other, ensuring the rationality and authority of the conclusions.

[0091] The system architecture features integrated innovation, achieving a dual-channel parallel processing mode for "diagnosis" and "safety." In addition to the core diagnostic process, this invention independently constructs a parallel safety early warning unit. This channel monitors critical and severe keywords in the consultation information in real time with the highest priority, enabling immediate identification and mandatory triage of emergencies such as stroke. This parallel architecture design of "diagnosis" and "early warning" organically unifies diagnostic efficiency and medical safety, a feature not seen in existing TCM auxiliary diagnostic systems.

[0092] Synergistic innovation among subsystems: This generates a synergistic effect of "1+1>2". The ultimate innovation of this invention lies in the fact that the above subsystems are not simply piled up, but deeply coupled and work together.

[0093] For example: 1. Objective data provides a reliable basis for dynamic weighting.

[0094] 2. The weighted score is the precise input for hierarchical threshold decision-making.

[0095] 3. The conflict arbitration mechanism, in conjunction with the hierarchical threshold, can provide graded and logically consistent conclusions for complex and contradictory medical cases.

[0096] 4. The outputs of all units are ultimately integrated by the results generation unit into a structured report that combines dialectical conclusions, confidence levels, pathogenesis analysis, and safety warnings.

[0097] In summary, this invention provides a complete, systematic, and clinically-oriented quantitative assessment solution for TCM-based vertigo diagnosis. Without the patent holder's permission, no entity or individual may manufacture, use, offer for sale, sell, or import products directly obtained using the method described in this invention for production or business purposes, nor may they use this patented method.

[0098] A quantitative assessment system for TCM vertigo diagnosis is provided to implement the aforementioned quantitative assessment method for TCM vertigo diagnosis. Figure 2 As shown, the system includes a first input unit 100, a second input unit 101, a syndrome-symptom mapping database 102, a data conversion unit 103, and a hierarchical dynamic diagnosis unit 104; The first input unit 100 is used to receive consultation data based on a standardized scale input by the patient; The second input unit 101 is used to receive the inspection, auscultation and palpation data input by the doctor. The tongue image in the inspection data and the pulse image in the palpation data are both predefined standardized medical codes generated after digital analysis of the collected physical signals. The data transformation unit 103 is used to transform the collected diagnostic data from the four diagnostic methods into quantitative scores corresponding to five core TCM dizziness syndromes: liver yang hyperactivity, phlegm turbidity obstructing the upper body, qi and blood deficiency, kidney essence deficiency, and blood stasis obstructing the orifices, based on the pre-stored syndrome-symptom mapping database 102. Among them, the scores assigned to the data from the four diagnostic methods of inspection, auscultation and olfaction and palpation are given a higher weight coefficient than those from the data from patient consultation. For each syndrome, the weighted scores of all its related symptoms are aggregated to generate a total syndrome score. The hierarchical dynamic diagnostic unit 104 is used to compare the total score of the syndrome type with the preset hierarchical dynamic diagnostic thresholds. The hierarchical dynamic diagnostic thresholds include at least the confirmed diagnosis threshold, the clinical diagnosis threshold, the concurrent syndrome threshold, and the syndrome tendency threshold. Based on the threshold range in which the total score of the syndrome type is located, the corresponding diagnostic conclusion level is output. When there is a logical conflict between the syndrome type conclusions supported by the four diagnostic methods data from different sources, the conflict arbitration rules are executed, and the syndrome type conclusion based on the standardized tongue image code and the standardized pulse image code is adopted first. The system using this application has at least the following advantages: 1. Enhance objectivity and standardization: By quantifying and standardizing, the interference of subjective factors is reduced, making the dialectical process based on evidence and the results verifiable.

[0099] 2. Ensuring the clinical reliability of conclusions: Through dynamic weighting and conflict arbitration, the system's conclusions are ensured to be consistent with the clinical thinking of high-level TCM physicians.

[0100] 3. Enhanced medical safety: The parallel early warning mechanism sets up a safety net for vertigo diagnosis, effectively reducing the risk of missing diagnosis of acute and critical illnesses.

[0101] 4. Improve diagnostic and treatment efficiency: The system can quickly process information, provide structured suggestions, assist young physicians in rapid growth, and improve overall diagnostic and treatment efficiency.

[0102] 5. Gradient and refined diagnostic conclusions: Through multi-level thresholds, the system can output gradient conclusions from "probability" to "confirmation", which is more in line with the diagnostic thinking in clinical practice.

[0103] 6. Highly realistic decision-making process: This mechanism simulates the progressive reasoning process of a senior physician from initial suspicion to final diagnosis, which is an important breakthrough in human-machine collaborative diagnosis.

[0104] 7. Higher clinical acceptance: Gradual conclusions avoid arbitrary diagnoses, are easily understood and adopted by clinicians, and facilitate human-computer interaction and discussion.

[0105] 8. Flexible adaptability: Dynamic thresholds allow for differentiated settings based on the pathological characteristics and diagnostic difficulty of different syndrome types, making the system's decision-making more flexible and accurate.

[0106] It should be understood that those skilled in the art can make improvements or modifications based on the above description, and all such improvements and modifications should fall within the protection scope of the appended claims.

Claims

1. A method for quantitatively evaluating traditional Chinese medicine dizziness syndrome, characterized in that, The method comprises the steps of: receiving patient inputted standardized scale-based interrogation data; receiving doctor inputted inspection, auscultation and palpation data, wherein the tongue appearance in the inspection data and the pulse appearance in the palpation data are both pre-defined standardized medical codes generated based on digital analysis of collected physical signals; based on a pre-stored syndrome-symptom mapping database, converting the collected four-examination data into quantified scores corresponding to five core TCM vertigo syndromes, i.e. liver yang hyperactivity, phlegm turbidity blocking the orifices, deficiency of qi and blood, deficiency of kidney essence and blood stasis blocking the orifices, wherein the scores assigned to the data from the inspection, auscultation and palpation are given higher weight coefficients than the scores assigned to the patient interrogation data; for each syndrome, aggregating the weighted scores of all related symptoms to generate a total syndrome score; comparing the total syndrome score with pre-set hierarchical dynamic diagnosis thresholds, which at least include a confirmed diagnosis threshold, a clinical diagnosis threshold, a concurrent syndrome threshold and a syndrome tendency threshold; according to the threshold interval in which the total syndrome score falls, outputting the corresponding diagnosis conclusion level, wherein when there is a logical conflict between the syndrome conclusions supported by the four-examination data from different sources, a conflict arbitration rule is executed, and the syndrome conclusion based on the standardized tongue appearance code and the standardized pulse appearance code is adopted.

2. The method according to claim 1, characterized in that, The pre-defined standardized medical code for the pulse appearance in the palpation data comprises: collecting a pressure pulse wave signal at the radial artery by a pulse diagnosis instrument; extracting morphological and dynamic characteristic parameters in the waveform, including main wave amplitude, re-pulse wave amplitude, rising branch slope and waveform cycle variation coefficient; inputting the characteristic parameters into a pre-trained pulse appearance classification model to output the corresponding standardized pulse appearance code, wherein: the pulse string code corresponds to the waveform feature of a main wave with a steep slope and a significantly weakened or disappeared re-pulse wave; the pulse sliding code corresponds to the waveform feature of a smooth pulse wave with a relatively high re-pulse wave amplitude; the pulse weakness code corresponds to the waveform feature of a pulse with extremely low amplitude, fuzzy or deformed morphology, and significantly weakened fluctuation energy; the pulse roughness code corresponds to the waveform feature of a pulse wave with slow fluctuations and irregular crests and troughs; the pulse thinness code corresponds to the waveform feature of a pulse with an amplitude lower than the normal threshold, but with a clear cycle structure and a narrow and sharp overall morphology.

3. The method according to claim 1, wherein, The pre-defined standardized medical code for the tongue appearance in the inspection data comprises: acquiring a digital image of the tongue body by a tongue appearance collection device; analyzing the color features of the tongue body and the tongue fur in a standard color space, and evaluating the texture of the tongue fur by image texture analysis; outputting the corresponding standardized tongue appearance code according to the analysis results, wherein: the tongue red code corresponds to the image feature of an average R value greater than 180 and an average G value less than 70 in the main area of the tongue body; the tongue pale code corresponds to the image feature of an average R value in the range of 150-170 in the main area of the tongue body; the fur yellow code corresponds to the image feature of a Hue value falling in the yellow feature interval in the fur area; the fur white and greasy code corresponds to the image feature of a color value close to white and a dense texture in the fur area; the fur thin code corresponds to the image feature of a low pixel coverage in the fur area, and a high transparency of the tongue body color under the fur. The tongue stasis code corresponds to an image feature in which patches or stripes in the tongue image present RGB or HSV threshold interval and deviate from the normal tongue color texture base.

4. The method according to claim 1, characterized in that, The syndrome-symptom mapping database contains structured data based on the diagnosis standard of dizziness in internal medicine of traditional Chinese medicine, and the specific scoring rules include: In the liver yang hyperactivity syndrome: the symptoms of dizziness and headache are assigned a base score of 2, the symptoms of facial redness and red tongue are assigned a base score of 2, the symptoms of irritability and bitter taste are assigned a base score of 1, the symptoms of insomnia and dreaminess are assigned a base score of 1, the symptoms of aggravation by labor and annoyance are assigned a base score of 1, the tongue red code is assigned a base score of 2, and the wiry pulse code is assigned a base score of 2; In the phlegm turbid syndrome: the symptoms of dizziness and heavy head are assigned a base score of 2, the symptoms of chest tightness and vomiting are assigned a base score of 2, the symptoms of vomiting sputum are assigned a base score of 1, the symptoms of less food and more sleep are assigned a base score of 1, the white and greasy tongue code is assigned a base score of 2, and the slippery pulse code is assigned a base score of 2; In the qi and blood deficiency syndrome: the symptoms of dizziness aggravated by movement and caused by fatigue are assigned a base score of 2, the symptoms of fatigue and weakness are assigned a base score of 2, the symptoms of pale or yellowish complexion are assigned a base score of 1, the symptoms of palpitation and less sleep are assigned a base score of 1, the symptoms of poor appetite and abdominal distension are assigned a base score of 1, the pale tongue code is assigned a base score of 2, and the weak pulse code is assigned a base score of 2; In the kidney essence deficiency syndrome: the symptoms of dizziness persisting for a long time are assigned a base score of 2, the symptoms of soreness of the waist and knees are assigned a base score of 2, the symptoms of tinnitus are assigned a base score of 1, the symptoms of spermatorrhea and incontinence are assigned a base score of 1, the symptoms of irritability and dry mouth are assigned a base score of 1, the red tongue code is assigned a base score of 2, and the thin pulse code is assigned a base score of 2; In the blood stasis blocking the orifices syndrome: the symptoms of dizziness and headache, like a needle prick, are assigned a base score of 2, the symptoms of fixed location of pain are assigned a base score of 2, the symptoms of dark or dull complexion are assigned a base score of 1, the symptoms of insomnia and forgetfulness are assigned a base score of 1, the symptoms of palpitation are assigned a base score of 1, the tongue stasis code is assigned a base score of 2, and the pulse astringency code is assigned a base score of 2.

5. The method according to claim 1, wherein, The assigned scores from data derived from inspection, auscultation and palpation are given a weight coefficient higher than that from patient interview data, including: The actual scores of standardized tongue code and standardized pulse code are the product of base scores and 1.

5.

6. The method according to claim 1, wherein, The hierarchical dynamic diagnosis threshold is configured to: When the total score of the syndrome type reaches or exceeds the confirmed threshold, the syndrome type is determined to be the confirmed level; When the total score of the syndrome type reaches or exceeds the clinical diagnosis threshold but is lower than the confirmed threshold, the syndrome type is determined to be the clinical diagnosis level; When the total score of the syndrome type reaches or exceeds the syndrome threshold but is lower than the clinical diagnosis threshold, the syndrome type is determined to be the syndrome; When the total score of the syndrome type reaches or exceeds the syndrome tendency threshold but is lower than the syndrome threshold, the syndrome type is determined to have syndrome tendency; Wherein, the confirmed threshold is higher than the clinical diagnosis threshold, the clinical diagnosis threshold is higher than the syndrome threshold, and the syndrome threshold is higher than the syndrome tendency threshold.

7. The traditional Chinese medicine dizziness syndrome differentiation quantification evaluation method according to claim 6, characterized in that: The confirmed threshold is 9 points; The clinical diagnosis threshold is 8 points; The syndrome threshold is 6-7 points; The syndrome tendency threshold is 4-5 points.

8. The method according to claim 6, characterized in that, The hierarchical dynamic diagnosis threshold can be differentiated according to the clinical characteristics of different syndromes: For liver yang hyperactivity syndrome, qi and blood deficiency syndrome, blood stasis blocking the orifices syndrome and kidney essence deficiency syndrome, the clinical diagnosis threshold is configured as 8 points; For phlegm turbidity above the orifices syndrome, the clinical diagnosis threshold is configured as 7 points.

9. The method according to claim 1, wherein the method is characterized by, The method comprises: Real-time monitoring whether the input inquiry data contains keywords in a set of predefined critical keywords; if the keywords are identified, generating and triggering an emergency interruption instruction, pausing the regular syndrome differentiation process and outputting an emergency alarm.

10. A system for quantitatively evaluating the syndrome of dizziness in traditional Chinese medicine, which is used to realize the method for quantitatively evaluating the syndrome of dizziness in traditional Chinese medicine according to any one of claims 1-9, characterized in that, The system comprises a first input unit, a second input unit, a syndrome-symptom mapping database, a data conversion unit and a hierarchical dynamic diagnosis unit. The first input unit is configured to receive patient inputted inquiry data based on a standardized scale. The second input unit is configured to receive doctor inputted pulse diagnosis, tongue diagnosis and palpation diagnosis data, wherein the tongue appearance in the pulse diagnosis data and the pulse appearance in the palpation diagnosis data are both pre-defined standardized medical codes generated based on digital analysis of collected physical signals. The data conversion unit is configured to convert the collected four diagnosis data into quantified scores corresponding to five core TCM vertigo syndromes, i.e. liver yang hyperactivity, phlegm turbidity above the orifices, qi and blood deficiency, kidney essence deficiency and blood stasis blocking the orifices, based on the pre-stored syndrome-symptom mapping database, wherein the scores from the pulse diagnosis, tongue diagnosis and palpation diagnosis data are given higher weight coefficients than the scores from the patient inquiry data; for each syndrome, the weighted scores of all related symptoms are aggregated to generate a total syndrome score. The hierarchical dynamic diagnosis unit is configured to compare the total syndrome score with pre-set hierarchical dynamic diagnosis thresholds, which at least include a confirmed diagnosis threshold, a clinical diagnosis threshold, a concurrent syndrome threshold and a syndrome tendency threshold; according to the threshold interval where the total syndrome score is located, the corresponding diagnosis conclusion level is outputted; when there is a logical conflict between the syndrome conclusions supported by four diagnosis data from different sources, a conflict arbitration rule is executed, and the syndrome conclusion based on the standardized tongue code and the standardized pulse code is adopted.

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