Breast cancer risk assessment and intervention method based on multivariate coupling model

Abstract

The invention relates to the technical field of data processing, and discloses a breast cancer risk assessment and intervention method based on a multivariate coupling model, which comprises the following steps: quantifying the interaction between environmental parameters such as temperature, humidity and air pressure and human energy metabolism, and quantifying the interaction between food cold and heat attributes, kinetic energy consumption and midnight-noon ebb-flow rhythm; real-time prediction and hierarchical management and intervention of deterioration risks are realized by quantifying a dynamic balance relationship between blood pressure energy and breathing energy, adopting a synergistic effect of a classical prescription, an acupuncture therapy, guide movement and the like according to a principle and adopting a machine learning algorithm. According to the invention, a multi-dimensional correlation and regulation coupling model of environment, psychology and physiology is established, and breast cancer disease prediction and tumor prognosis evaluation are realized.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, and more specifically, to a method for breast cancer risk assessment and intervention based on a multivariate coupling model. Background Technology

[0002] Breast cancer is a common malignant tumor in women, and its development is influenced by a combination of genetic, environmental, psychological, and physiological factors. Current risk assessment methods still have significant limitations: First, traditional risk assessments largely rely on static genetic testing results, such as BRCA1 / 2 gene mutation screening. While these methods can reveal genetic susceptibility, they cannot reflect the dynamic influence of environment and individual physiological state. Second, traditional Chinese medicine constitution classification has important clinical guiding significance, but current methods lack objective quantitative standards and are difficult to correlate with modern molecular pathology indicators (such as HER2 and CA153), thus limiting their application in precise assessment. Third, the TNM staging system is currently the commonly used breast cancer grading standard, but it is mainly based on tumor size and metastasis, and cannot dynamically reflect real-time changes in the tumor's biological behavior. While circulating tumor cell (CTC) detection, as a novel molecular tool, has potential value, its consistency with histopathological results is insufficient (κ = 0.42), affecting its independent assessment significance. In addition, traditional imaging examinations have a certain lag, and a re-evaluation is usually required every 3 to 6 months. During this period, blind spots in risk monitoring can easily form, making it difficult to detect early lesions or risk signals in a timely manner.

[0003] In environmental medicine research, existing work has largely focused on the effects of pollutants, while paying insufficient attention to the thermodynamic effects of climate parameters. For example, the product of mean absolute humidity and temperature change (ΔM×ΔT) may have a regulatory effect on the breast microenvironment, but current methods have not incorporated it into risk assessment systems.

[0004] Therefore, how to transform the traditional attributes of Yin-Yang and cold-heat in Traditional Chinese Medicine into calculable ΔE\W equations to correspond with modern thermodynamic parameters; and how to verify the physiological basis of meridian obstruction through arterial blood oxygen partial pressure (PaO2) and venous carbon dioxide partial pressure (PvCO2) have become technical problems that urgently need to be solved in breast cancer risk assessment methods. Summary of the Invention

[0005] In view of this, the present invention proposes a breast cancer risk assessment and intervention method based on a multivariate coupling model to solve the above problems.

[0006] This invention proposes a breast cancer risk assessment and intervention method based on a multivariate coupling model, comprising:

[0007] (1) Environmental benchmark quantification:

[0008] The average temperature T, average absolute humidity M, and atmospheric pressure P of the user's birthplace over ≥8 years are collected. The annual average is calculated as the environmental baseline value μ, and the standard deviation σ is calculated as a measure of entropy increase.

[0009] (2) Attribute mapping modeling:

[0010] Define Yin and Yang attributes;

[0011] Yin: ΔE = ΔM × ΔT × C;

[0012] Yang: W = Q × P or W = F × S characterizes the conversion of matter into energy;

[0013] Define the attributes of cold, hot, warm, and cool:

[0014] Cold: The forming force is quantified by the enthalpy change ΔH;

[0015] Heat: Dissipative force is quantified by entropy increase ΔS;

[0016] Temperature: The transformation state from ΔH to ΔS satisfies ΔM×C×ΔT=ΔE∝W;

[0017] Cool: The state of transformation from ΔS to ΔH;

[0018] (3) Construct a dynamic risk assessment system:

[0019] Using the environmental baseline value μ as the center, calculate the confidence interval [μ-nσ, μ+nσ] based on σ;

[0020] Input the user's real-time environmental parameters, diet, exercise and meridian flow rhythm into the model, and output Yin-Yang attributes and cold-heat-warm-cool attributes;

[0021] Correlation of pathological indicators: when the attributes are predominantly yin / cold, it activates the positive expression of HER2 and CA153 in breast nodules, and is matched with the trend of annual physical examination reports;

[0022] (4) Assessment of energy imbalance risk:

[0023] Calculate blood pressure energy: W_arterial = |Pulse pressure change| × Stroke volume × Heart rate × Time;

[0024] Calculate respiratory energy: W_respiration = respiratory pressure gradient × tidal volume × respiratory rate × time;

[0025] When the ratio of arterial W to respiratory W exceeds the threshold, it is determined that internal energy causes meridian obstruction.

[0026] (5) Medical verification and physiological assessment of the obstruction:

[0027] The relationship curves between arterial blood oxygen partial pressure, venous carbon dioxide partial pressure and HER2 or CA153 were analyzed, and a double vertical axis line graph was drawn to clarify the degree of obstruction and the time of inflection point. The risk was marked by combining the gray shaded time period.

[0028] (6) Intervention Module:

[0029] Based on the selection of the dominant attribute, combined with the mapping rules of Western medicine indicators and Yin-Yang attributes, a thermodynamic equation for breast cancer risk was established. Attribute correction and integrated Chinese and Western medicine treatment were selected, and the changing trends of HER2 and CA153 and changes in ΔE value were dynamically monitored and the intervention intensity was adjusted.

[0030] (7) Multi-dimensional evaluation indicator system:

[0031] By integrating risk factors, imaging weights, liquid biopsy weights, symptom weights, and laboratory factors, and combining them with dynamic syndrome classification, a breast cancer risk level assessment system is formed.

[0032] Furthermore, in the environmental benchmark quantification, the environmental benchmark value μ must satisfy a sample size of ≥50 cases; when the collected data is less than 50 cases, n-1 degrees of freedom correction is used.

[0033] Furthermore, the rules for determining the cold, hot, warm, and cool attributes are as follows:

[0034] When ΔH / ΔS>1, it is a cold attribute;

[0035] When ΔS / ΔH > 1, it is a thermal property;

[0036] When ΔH / ΔS or ΔS / ΔH is in the range [0.8, 1.2), it is determined to be either warm or cool, respectively.

[0037] Furthermore, in the dynamic risk assessment, dietary attributes are determined based on the hot / cold, warm / cool classification of ingredients in the food database; exercise energy is determined based on the ratio of ΔE to W respiration, where ΔE / W respiration > 1 indicates heat and < 1 indicates cold; and the meridian flow is corrected and determined based on time of day, pulse pressure, heart rate, and respiratory parameters.

[0038] Furthermore, in the assessment of the energy imbalance risk, the evaluation of meridian obstruction includes the corresponding determination of the Chong meridian, Ren meridian, Liver meridian, Stomach meridian and Lung meridian, and a comprehensive judgment is made through thermal imaging, body temperature distribution, blood pressure and metabolic indicators.

[0039] Furthermore, the medical verification physiological assessment analyzes the dynamic changes of PaO2 and PvCO2 using a dual-axis line graph, and correlates them with the inflection point time of HER2 or CA153, and determines the degree of paralysis by combining the gray shaded time period.

[0040] Furthermore, in the intervention module, when Yin is excessive and cold is congealed, warming Yang and unblocking the meridians are used, including traditional Chinese medicine, acupuncture, fire therapy, massage and aerobic exercise; when Yang is excessive and entropy increases, Yin-nourishing and fire-reducing traditional Chinese medicine and low-entropy diet are used.

[0041] Furthermore, the dynamic adjustment of the intervention module includes: reducing the dosage of traditional Chinese medicine by 20% when the CA153 decrease rate is <5% / week and the nodule volume reduction rate is >10%; and increasing the intensity of aerobic exercise to a heart rate of 120 bpm when the nodule reduction rate is >10% and <0.8.

[0042] Furthermore, the risk scoring formula for the multi-dimensional assessment indicator system is as follows:

[0043] RiskScore = λ·Risk Factors + α·Imaging Weights + β·Liquid Biopsy Weights + γ·Symptom Weights + θ·Test Factors + ΨSyndrome Type;

[0044] Wherein, λ=0.3, α=0.2, β=0.22, γ=0.14, θ=0.14; the values ​​for Ψ syndrome types include liver stagnation = 1.2, phlegm stasis = 1.5, and heat toxicity = 1.8.

[0045] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0046] This invention further transforms traditional TCM attributes such as Yin and Yang, cold and heat, and warm and cool into calculable ΔE / W equations and establishes a correspondence with the dynamic changes of molecular pathological markers (HER2, CA153). This not only compensates for the lack of objective quantitative standards in TCM constitution classification but also achieves the organic integration of TCM and Western medicine, making the risk assessment results more clinically interpretable and scientific.

[0047] Furthermore, this invention employs a dynamic risk assessment model. By calculating environmental baseline values ​​μ and standard deviation σ, and combining annual physical examination data and biomarker trends, it achieves dynamic monitoring and early warning of risks, overcoming the limitations of traditional gene testing or TNM staging in reflecting real-time biological behavior. Through the relationship curve between arterial blood oxygen partial pressure and venous carbon dioxide partial pressure, a physiological link between meridian obstruction and molecular markers is established, and visualized using a dual-axis line graph and gray time periods, making the risk assessment results more scientifically based and traceable.

[0048] More importantly, this invention goes beyond risk warnings, closely linking assessment results with intervention measures to form a closed-loop management system of risk identification, verification, and intervention. The system can automatically recommend corresponding intervention plans based on different situations of Yin-Yang imbalance and cold-heat imbalance. For example, when Yin is excessive and cold stagnation occurs, methods such as traditional Chinese medicine, acupuncture, moxibustion, and aerobic exercise to warm the Yang and unblock the meridians are used; when Yang is excessive and entropy is increased, measures such as nourishing Yin and reducing fire, and a low-entropy diet are used. Simultaneously, the intervention intensity can be dynamically adjusted based on changes in HER2 and CA153 levels and the trend of nodule volume reduction, achieving individualized and quantifiable intervention management. Attached Figure Description

[0049] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0050] Figure 1 Clinical intervention and risk blocking diagram provided for embodiments of the present invention;

[0051] Figure 2 A flowchart for determining Yin-Yang attributes provided in an embodiment of the present invention;

[0052] Figure 3 This is a blood gas analysis and biomarker monitoring diagram provided in an embodiment of the present invention;

[0053] Figure 4 This is one of the flowcharts for dynamic mapping of Yin and Yang attributes provided in the embodiments of the present invention;

[0054] Figure 5 This is the second flowchart of the dynamic mapping process of Yin and Yang attributes provided in the embodiments of the present invention;

[0055] Figure 6 This is a diagram illustrating the architecture of the environment-psychology-physiology coupling model provided in an embodiment of the present invention.

[0056] Figure 7 A three-dimensional early warning diagram provided for an embodiment of the present invention;

[0057] Figure 8 This is one of the framework diagrams of the energy-meridian blockage closed-loop control system provided in the embodiments of the present invention;

[0058] Figure 9 This is the second framework diagram of the energy-meridian blockage closed-loop control system provided in the embodiments of the present invention;

[0059] Figure 10 This is a diagram illustrating the architecture of a deterioration assessment system provided in an embodiment of the present invention.

[0060] Figure 11 This is a risk factor diagram with yin and yang labels provided for an embodiment of the present invention.

[0061] in, Figure 1 In traditional Chinese medicine, clinical interventions include: regulating the Chong and Ren meridians and clearing heat from the liver and lungs to target and reduce X values; and inhibiting HER2 to regulate immunity and control ▽ growth. Risk prevention involves adjusting the environment (△M×△T) to correct imbalances in temperature and temperature, rebuilding △H and △S transformation; regulating lifestyle (W=FS) to balance Yin and Yang and optimize the circulation of matter and energy. Figure 3 In the middle, the left Y-axis is the partial pressure of arterial blood oxygen (PaO2, mmHg) - red curve; the right Y-axis is the partial pressure of venous blood carbon dioxide (PVCO2, mmHg) - blue curve; the right secondary Y-axis is the HER2 copy number / CA-153 - green star (indicating the inflection point curve characteristics); the horizontal axis is the monitoring time (hours). Detailed Implementation

[0062] The technical solutions in the embodiments of the present invention will be clearly and completely described below. 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.

[0063] See Figures 1-11 As shown, this embodiment of the invention provides a method for breast cancer risk assessment and intervention based on a multivariate coupling model, including:

[0064] (1) Environmental benchmark quantification:

[0065] The average temperature T, average absolute humidity M, and atmospheric pressure P of the user's birthplace over ≥8 years are collected. The annual average is calculated as the environmental baseline value μ, and the standard deviation σ is calculated as a measure of entropy increase.

[0066] (2) Attribute mapping modeling:

[0067] Define Yin and Yang attributes;

[0068] Yin: ΔE = ΔM × ΔT × C;

[0069] Yang: W = Q × P or W = F × S characterizes the conversion of matter into energy;

[0070] Define the attributes of cold, hot, warm, and cool:

[0071] Cold: The forming force is quantified by the enthalpy change ΔH;

[0072] Heat: Dissipative force is quantified by entropy increase ΔS;

[0073] Temperature: The transformation state from ΔH to ΔS satisfies ΔM×C×ΔT=ΔE∝W;

[0074] Cool: The state of transformation from ΔS to ΔH;

[0075] (3) Construct a dynamic risk assessment system:

[0076] Using the environmental baseline value μ as the center, calculate the confidence interval [μ-nσ, μ+nσ] based on σ;

[0077] Input the user's real-time environmental parameters, diet, exercise and meridian flow rhythm into the model, and output Yin-Yang attributes and cold-heat-warm-cool attributes;

[0078] Correlation of pathological indicators: when the attributes are predominantly yin / cold, it activates the positive expression of HER2 and CA153 in breast nodules, and is matched with the trend of annual physical examination reports;

[0079] (4) Assessment of energy imbalance risk:

[0080] Calculate blood pressure energy: W_arterial = |Pulse pressure change| × Stroke volume × Heart rate × Time;

[0081] Calculate respiratory energy: W_respiration = respiratory pressure gradient × tidal volume × respiratory rate × time;

[0082] When the ratio of arterial W to respiratory W exceeds the threshold, it is determined that internal energy causes meridian obstruction.

[0083] (5) Medical verification and physiological assessment of the obstruction:

[0084] The relationship curves between arterial blood oxygen partial pressure, venous carbon dioxide partial pressure and HER2 or CA153 were analyzed, and a double vertical axis line graph was drawn to clarify the degree of obstruction and the time of inflection point. The risk was marked by combining the gray shaded time period.

[0085] (6) Intervention Module:

[0086] Based on the selection of the dominant attribute, combined with the mapping rules of Western medicine indicators and Yin-Yang attributes, a thermodynamic equation for breast cancer risk was established. Attribute correction and integrated Chinese and Western medicine treatment were selected, and the changing trends of HER2 and CA153 and changes in ΔE value were dynamically monitored and the intervention intensity was adjusted.

[0087] (7) Multi-dimensional evaluation indicator system:

[0088] By integrating risk factors, imaging weights, liquid biopsy weights, symptom weights, and laboratory factors, and combining them with dynamic syndrome classification, a breast cancer risk level assessment system is formed.

[0089] In this embodiment, the first step is environmental baseline quantification.

[0090] By collecting climate parameters from the user's birthplace for more than eight consecutive years, including average temperature (T), average absolute humidity (M), and atmospheric pressure (P), and calculating the average of the collected annual data, an environmental baseline value (μ) is defined. Simultaneously, its standard deviation (σ) is calculated as a measure of the system's entropy increase, characterizing the volatility and uncertainty of the environment. This forms an individualized environmental baseline reference range, providing a long-term stable reference standard for risk assessment.

[0091] The second step is attribute mapping modeling.

[0092] In this step, thermodynamic parameters are mapped to the Yin-Yang and cold-heat theories of Traditional Chinese Medicine.

[0093] The negative attribute is defined as: ΔE = ΔM × ΔT × C.

[0094] It means the process of energy being converted into matter, which is manifested as an increase in enthalpy change ΔH (increase in mass, gas → liquid → solid).

[0095] The Yang attribute is defined as:

[0096] W = Q × P or W = F × S.

[0097] It means the process of converting matter into energy, which is manifested as an increase in entropy ΔS (mass decreases, solid → liquid → gas).

[0098] The attributes of cold, hot, warm, and cool are defined as follows:

[0099] Cold: Quantified by enthalpy change ΔH, reflecting the forming force of matter condensation;

[0100] Heat: quantified by entropy increase ΔS, reflecting the dissipation force of the system;

[0101] Temperature: is the transformation state from ΔH to ΔS, satisfying the relationship: ΔM×C×ΔT=ΔE∝W;

[0102] Cool: is the transformation state from ΔS to ΔH, satisfying the relation: ΔM×C×ΔT=ΔE∝W.

[0103] Through the above mapping, a correspondence between physical quantities and TCM syndromes is established, thereby transforming the abstract characteristics of Yin-Yang and cold-heat into calculable thermodynamic variables.

[0104] The third step is to build a dynamic risk assessment system.

[0105] In this system, the environmental baseline value μ is used as the center, and the standard deviation σ is used to determine the individual risk confidence interval [μ-nσ, μ+nσ]. The system inputs real-time collected environmental parameters, dietary preferences, exercise status, and meridian rhythms into the model, and automatically outputs the corresponding Yin-Yang and cold / hot / warm / cool attributes. This output is then correlated with pathological indicators. When the calculation results show that the individual's attributes are predominantly Yin or cold, it indicates an increased risk of breast nodules, accompanied by activation of HER2 and CA15-3 positive expression. Simultaneously, the system further integrates the longitudinal trends from the annual physical examination report to dynamically track and provide early warnings regarding user risk.

[0106] The fourth step is to assess the risk of energy imbalance.

[0107] This step determines whether there is meridian obstruction in the body by calculating the ratio of blood pressure work to respiratory work. The formula for calculating blood pressure energy is:

[0108] W_arterial = |ΔPulse pressure change| × Stroke volume × Heart rate × Time

[0109] The formula for calculating respiratory energy is:

[0110] W_respiration = respiratory pressure gradient × tidal volume × respiratory rate × time

[0111] When the ratio of arterial to respiratory energy exceeds a threshold, it indicates an imbalance in the body's internal energy, leading to meridian obstruction.

[0112] Step 5: Medical verification and physiological assessment of the obstruction.

[0113] In this step, the system uses the relationship curve between arterial blood oxygen partial pressure and venous carbon dioxide partial pressure, combined with HER2 or CA15-3 expression levels, to create a dual-axis line graph, displaying the dynamic changes in arterial obstruction and its inflection point. Simultaneously, high-risk periods are marked with gray shaded areas to clearly define the degree of obstruction and risk trends, thus achieving visual verification and risk warning in clinical practice.

[0114] Step 6, Intervention Module.

[0115] Based on the predominance of certain attributes as shown in the assessment results, and combining the results of Western medicine molecular markers with the Yin-Yang attribute mapping rules, a thermodynamic equation for breast cancer risk is established to select appropriate intervention measures. This module not only includes traditional attribute correction methods such as treating cold with heat and heat with cold, but also integrates various TCM intervention methods such as herbal medicine, acupuncture, moxibustion, massage, and aerobic exercise, and combines them with modern medical drug and imaging monitoring methods. During the intervention process, the system dynamically tracks HER2 and CA15-3 levels and ΔE values. When the parameter change trend exceeds the threshold, the intervention intensity is automatically adjusted to achieve individualized and precise management.

[0116] Step 7: Multi-dimensional evaluation indicator system.

[0117] This invention establishes a complete breast cancer risk grading system by integrating risk factors, imaging examination results, liquid biopsy indicators, clinical symptoms, and laboratory test data, combined with dynamic grading of traditional Chinese medicine syndromes. This system can quantify individual risk and provide tiered management plans based on this, making risk assessment results more clinically relevant and valuable.

[0118] In some embodiments of this application, the environmental benchmark value μ in the environmental benchmark quantification needs to satisfy a sample size of ≥50 cases; when the collected data is less than 50 cases, n-1 degrees of freedom correction is used.

[0119] In this embodiment, the environmental benchmark quantification imposes strict requirements on the sample size to ensure the statistical reliability and scientific rigor of the calculation results. The determination of the environmental benchmark value μ must meet the condition that the sample size is not less than 50 cases. When the sample size reaches or exceeds 50, the calculated mean and standard deviation can better represent the population distribution characteristics, and the difference between the estimated standard deviation and the true population standard deviation is small, so it can be directly used as the environmental benchmark value and entropy increase measure.

[0120] However, in practical applications, the sample size may be less than 50 cases due to user migration, missing climate databases, or insufficient data collection. In this case, directly using the population formula to calculate the standard deviation can easily lead to an underestimation of the true volatility, thus affecting the accuracy of risk assessment. To address this issue, this application employs the statistical method of n-1 degrees of freedom correction, that is, when the sample size is less than 50, the standard deviation formula is modified from:

[0121]

[0122] Revised to:

[0123]

[0124] By introducing a degree-of-freedom correction, the standard deviation can be closer to the true population value when the sample size is small, avoiding underestimation of environmental volatility due to insufficient sample size. This correction ensures that the environmental benchmark value μ and its standard deviation σ remain statistically reasonable under limited data conditions, thereby guaranteeing the stable operation of the breast cancer risk assessment model under different populations and data conditions.

[0125] Therefore, this invention not only provides reliable environmental benchmark quantification results when there is sufficient data, but also maintains the rigor and scientific nature of the evaluation system through degree of freedom correction when there is insufficient data, thereby enhancing the universality and robustness of the model.

[0126] In some embodiments of this application, the rules for determining the cold, hot, warm, and cool attributes are as follows:

[0127] When ΔH / ΔS>1, it is a cold attribute;

[0128] When ΔS / ΔH > 1, it is a thermal property;

[0129] When ΔH / ΔS or ΔS / ΔH is in the range [0.8, 1.2), it is determined to be either warm or cool, respectively.

[0130] In this embodiment, and in some embodiments of this application, the determination of the cold, hot, warm, and cool attributes is based on the ratio of the thermodynamic parameters ΔH (enthalpy change) to ΔS (entropy increase). Through quantitative calculation, the four traditional Chinese medicine attributes of cold, hot, warm, and cool are transformed into measurable physical quantities.

[0131] When ΔH / ΔS > 1, it indicates that the forming force (enthalpy change) of the system is more prominent than the dissipative force (entropy increase), manifesting as the matter tending to condense and structure. The heat is insufficient to drive the system to produce a large degree of disorder, thus it is judged to be of the cold attribute. This state corresponds to the phenomenon of "cold stagnation" in traditional Chinese medicine, and the body manifests as slow metabolism, poor blood circulation, and local tissues of the breast are more prone to forming nodules or fibrosis.

[0132] When ΔS / ΔH > 1, it indicates that the dissipative force (entropy increase) of the system is greater than the forming force (enthalpy change), and the matter tends to diffuse and depolymerize. This manifests as an increase in system disorder and more active energy conversion, thus being classified as a thermal property. This state corresponds to the phenomenon of "excessive heat" in traditional Chinese medicine, which manifests in the body as enhanced inflammatory response, hypermetabolism, and increased inflammatory changes or tumor activity in the local environment of the breast.

[0133] When the ratio of ΔH / ΔS or ΔS / ΔH is in the range [0.8, 1.2), it indicates that enthalpy change and entropy increase are in a relatively balanced state, and they transform into each other without showing a significant bias. At this point, based on the specific trend of change, further distinctions can be made:

[0134] When ΔH transforms into ΔS, it is determined to be a temperature attribute, that is, the organism is in a transitional state from formation to dissipation, which can maintain basic stability and also has a certain vitality.

[0135] When ΔS transforms into ΔH, it is determined to be a cool attribute, that is, the body is in a transitional state from dissipation to formation, which is manifested as functional recovery and steady-state reconstruction.

[0136] This determination method, based on the ΔH to ΔS ratio, transforms the qualitative descriptions of cold, heat, warmth, and coolness in traditional Chinese medicine into calculable quantitative indicators, achieving an interdisciplinary mapping relationship. Through this determination rule, the system can quickly calculate an individual's cold, heat, warmth, and coolness status after real-time collection of environmental and physiological parameters, and correlate it with breast cancer risk factors (such as the expression levels of HER2 and CA15-3), thereby improving the objectivity and operability of risk assessment.

[0137] In some embodiments of this application, in the dynamic risk assessment, dietary attributes are determined based on the hot / cold, warm / cool classification of food ingredients in the database; exercise energy is determined based on the ratio of ΔE to W respiration, where ΔE / W respiration > 1 indicates heat and < 1 indicates cold; the meridian flow is corrected and determined based on time of day, pulse pressure, heart rate, and respiratory parameters.

[0138] In this embodiment, the dynamic risk assessment not only relies on environmental parameters, but also comprehensively considers lifestyle factors such as diet, exercise, and meridian flow rhythm, and correlates these factors with traditional Chinese medicine attributes and thermodynamic indicators, thereby achieving individualized and dynamic risk assessment.

[0139] In terms of diet, the system calls upon a food database to quantify the properties and meridian tropism of ingested foods, classifying them according to their cold, hot, warm, or cool attributes. For example, cold-natured foods (such as bitter melon and mung beans) increase the tendency towards coldness, while warm-natured foods (such as ginger and mutton) increase the tendency towards heat. Through the classification and statistics of the food database, the system can calculate an individual's dietary cold / hot bias over a period of time and use it as one of the input parameters for risk assessment.

[0140] Regarding exercise, this application combines exercise state with an energy expenditure model, using the ratio of ΔE to W (w / respiration) for determination. Specifically:

[0141]

[0142] This method of judgment reflects the balance between the efficiency of energy conversion in the body during exercise and the work done by respiration. When energy consumption exceeds the energy supply from respiration, it indicates that the body is in a state of "excessive heat"; conversely, when energy is insufficient, it indicates that the body is in a state of "cold stagnation".

[0143] Regarding the meridian flow theory, the system adjusts the Yin-Yang and cold / heat assessment results based on the user's actual daily routine, combining traditional Chinese medicine time periods (such as Zi Shi, Chou Shi, Yin Shi, etc.) with modern medical parameters (pulse pressure, heart rate, respiratory rate). For example, during Wu Shi (11:00-13:00), when the heart fire is at its peak, if both pulse pressure and heart rate are high, it indicates an excess of Yang and a tendency towards heat; while during Yin Shi (3:00-5:00), when the lung meridian is dominant, if respiratory rate decreases, it indicates a tendency towards cold. By combining physiological parameters with the meridian flow rhythm, the dynamic accuracy of risk assessment can be improved.

[0144] In summary, this application combines traditional lifestyle with modern thermodynamic indicators through a comprehensive assessment of diet, exercise, and meridian flow, making the risk assessment results more consistent with the individual's actual condition and dynamically reflecting the internal and external environmental conditions for the occurrence and development of breast cancer, thereby achieving precision health management through the integration of traditional Chinese and Western medicine.

[0145] In some embodiments of this application, the assessment of energy imbalance risk includes the corresponding determination of the Chong meridian, Ren meridian, liver meridian, stomach meridian and lung meridian, which is comprehensively judged by thermal imaging, body temperature distribution, blood pressure and metabolic indicators.

[0146] In this embodiment, the assessment of energy imbalance risk not only relies on the calculation of the ratio of blood pressure work to respiratory work, but also introduces a comprehensive assessment of the meridian system to reveal the potential impact of energy imbalance in the body on the risk of breast cancer.

[0147] In the assessment of meridian obstruction, the system primarily considers the operational status of key meridians such as the Chong Meridian, Ren Meridian, Liver Meridian, Stomach Meridian, and Lung Meridian. The Chong and Ren Meridians, belonging to the Eight Extraordinary Meridians, play a central role in blood circulation and energy regulation in the breast. The Liver Meridian is closely related to emotional changes, manifesting as "anger injures the liver." The Lung Meridian is connected to respiratory function, manifesting as "sadness injures the lungs." The Stomach Meridian is related to dietary metabolism and the spleen and stomach's digestive functions. Imbalances in these meridians are often directly related to obstruction in breast tissue and the formation of lumps.

[0148] To achieve objective judgment, this application proposes a comprehensive evaluation using multimodal data:

[0149] Thermal imaging: used to detect abnormalities in the temperature distribution of the breast and the whole body surface. When there is an increase or decrease in temperature in a local area, it can indicate that the energy flow is blocked.

[0150] Body temperature distribution: Combined with the temperature difference along the central axis (such as the gradient changes between the armpit and groin, and between the center of the eyebrows and the soles of the feet), it is used to judge the balance of the flow of Qi in the meridians;

[0151] Blood pressure indicator: By dynamically monitoring the pulse pressure difference, it can be determined whether the flow of qi and blood is smooth;

[0152] Metabolic indicators, including oxygen consumption, carbon dioxide excretion, and lactate levels, are used to reflect the body's bias in energy metabolism.

[0153] Through integrated analysis of the above multi-dimensional parameters, the system can quantitatively determine the operational status of the Chong Meridian, Ren Meridian, Liver Meridian, Stomach Meridian, and Lung Meridian. When the test results indicate that a certain meridian is experiencing poor blood and qi circulation or abnormal thermodynamic parameters, it can be identified as meridian obstruction and correlated with breast cancer risk factors.

[0154] In summary, the comprehensive assessment method for meridian obstruction not only combines traditional Chinese medicine's "meridian theory" with modern detection technologies (thermal imaging, body temperature monitoring, blood pressure and metabolic analysis), but also uses an energy imbalance model for quantitative judgment, thus providing a more scientific and intuitive basis for breast cancer risk prediction and early intervention.

[0155] In some embodiments of this application, the medical verification physiological assessment analyzes the dynamic changes of PaO2 and PvCO2 using a dual-axis line graph, and correlates them with the inflection point time of HER2 or CA153, and determines the degree of paralysis by combining the gray shaded time period.

[0156] In this embodiment, the medical verification physiological assessment combines the dynamic changes of arterial partial pressure of oxygen (PaO2) and venous partial pressure of carbon dioxide (PvCO2) to visually present the body's gas exchange function and energy metabolism status in a dual-axis line graph.

[0157] Specifically, PaO2 reflects the oxygen supply capacity of arterial blood and is an important indicator for measuring tissue oxygenation levels; PvCO2 reflects the carbon dioxide excretion in venous blood and is a representative of the ability to clear metabolic products. Under normal circumstances, the fluctuations of the two show a relatively stable complementary relationship. However, when the body's meridians are blocked, PaO2 often decreases continuously while PvCO2 relatively increases, leading to reduced gas exchange efficiency and indicating that local tissues are in a state of hypoxia and metabolic disorder.

[0158] This application uses a dual-axis line graph, placing PaO2 on one side and PvCO2 on the other, with time as the horizontal axis, to visually display the dynamic trends of both. Simultaneously, by combining the monitoring results of tumor markers such as HER2 or CA15-3, the inflection point times are marked accordingly. When the decreasing trend of PaO2 highly coincides with the increasing inflection point of HER2 or CA15-3, it suggests a correlation between the deterioration of the body's physiological state and an increased risk of breast cancer.

[0159] Furthermore, the line chart uses gray-shaded periods to mark abnormal fluctuation ranges. The extent and amplitude of the gray area correspond to the duration and severity of the blockage, thus enabling a quantitative assessment of the risk level. For example, when PaO2 decreases beyond a set threshold and PvCO2 shows an abnormal increase during the same period, the gray-shaded area is automatically enlarged and marked by the system, indicating that this stage is a high-risk blockage state.

[0160] By combining graphical and quantitative methods, medical verification can not only intuitively reveal the existence and extent of meridian obstruction, but also match it with the inflection points of molecular markers over time, thereby verifying the correlation between meridian imbalance and breast cancer risk in clinical practice. This method makes risk assessment under the integration of traditional Chinese and Western medicine more objective and operable.

[0161] In some embodiments of this application, the intervention module employs methods to warm the yang and unblock the meridians when yin is excessive and cold is congealed, including traditional Chinese medicine, acupuncture, moxibustion, massage, and aerobic exercise; and employs yin-nourishing and fire-reducing traditional Chinese medicine and a low-entropy diet when yang is excessive and entropy is increased.

[0162] In this embodiment, the intervention module proposes targeted adjustment and treatment plans based on different imbalances in bodily attributes, in order to achieve individualized control of breast cancer risk.

[0163] When the body exhibits a state of Yin excess and cold stagnation, thermodynamic indicators show ΔH / ΔS > 1, indicating that the forming force is significantly higher than the dissipating force. The system tends towards excessive conversion of energy into matter, manifesting as slow blood flow, decreased metabolism, and local circulatory disturbances. At this time, the system suggests the need for intervention based on the principle of warming Yang and unblocking the meridians to promote blood and Qi circulation and improve the state of cold stagnation. Specific measures include:

[0164] Traditional Chinese medicine treatment: Select formulas and herbs that warm the yang and dispel cold, and promote blood circulation and unblock the meridians, such as aconite, cinnamon twig, and dried ginger, to play the role of regulating and replenishing yang qi and improving blood circulation;

[0165] Acupuncture therapy: Select acupoints such as Guanyuan, Qihai, Zusanli, and Mingmen to dredge the meridians, warm and tonify the lower abdomen, and improve the state of meridian obstruction;

[0166] Fire therapy and moxibustion: By stimulating the local area with external heat, they raise the local temperature and promote microcirculation;

[0167] Massage: Improves blood and qi circulation in the mammary glands and related meridians, and relieves tissue stiffness;

[0168] Aerobic exercise, such as brisk walking and jogging, enhances cardiopulmonary function, improves the body's oxygen consumption level, and promotes the reversal of cold and dampness.

[0169] When the body exhibits an excess of Yang and increased entropy, thermodynamic indicators show ΔS / ΔH > 1, indicating that the dissipative force is significantly higher than the forming force. The system tends to excessively release energy, manifesting as hypermetabolism, enhanced inflammatory response, and internal accumulation of heat toxicity. At this time, the system suggests the need for intervention based on the principle of nourishing Yin and reducing fire to inhibit disordered diffusion and restore energy balance. Specific measures include:

[0170] Traditional Chinese medicine treatment: Select formulas and herbs that nourish yin, clear heat, cool blood, and detoxify, such as Rehmannia glutinosa, Anemarrhena asphodeloides, and Scutellaria baicalensis, to exert the effects of clearing heat, detoxifying, and inhibiting abnormal metabolism;

[0171] Low-entropy diet: Reduce the intake of high-calorie, high-sugar, and high-fat foods to avoid further aggravating the state of entropy increase; increase the intake of low-entropy foods such as fresh fruits and vegetables and whole grains to reduce metabolic load and improve body homeostasis.

[0172] In conjunction with Western medical examinations: dynamically monitor changes in the levels of molecular markers such as HER2 and CA15-3, assess the changing trends of inflammation or tumor activity, and use them as feedback indicators of intervention effectiveness.

[0173] Through the aforementioned differentiated interventions, the intervention module of this application not only realizes the traditional Chinese medicine principle of "treating cold with heat and heat with cold" but also combines modern molecular marker detection and energy index analysis to ensure the scientific, dynamic, and quantifiable nature of the intervention measures, thereby providing more systematic support for the prevention and treatment of breast cancer.

[0174] In some embodiments of this application, the dynamic adjustment of the intervention module includes: reducing the dosage of traditional Chinese medicine by 20% when the CA153 decrease rate is <5% / week and the nodule volume reduction rate is >10%; and increasing the intensity of aerobic exercise to a heart rate of 120 bpm when the nodule reduction rate is >10% and <0.8.

[0175] In this embodiment, the intervention module not only includes syndrome differentiation and treatment for the states of Yin excess and cold coagulation and Yang excess and entropy increase, but also introduces a dynamic adjustment mechanism so that the intervention measures can be optimized according to the real-time changes of biomarkers and nodule volume in the patient's body, thereby achieving individualized and precise treatment management.

[0176] During implementation, the system monitors the levels of the breast cancer-related molecular marker CA15-3 and changes in nodule volume on imaging examinations in real time, and performs dynamic assessments over time. When the test results show that the CA15-3 decrease rate is less than 5% / week and the nodule volume shrinkage rate is greater than 10%, it indicates that the patient has responded well to the current intervention plan, and tumor activity has been suppressed, but the patient is still in a state dominated by drug action. To avoid overtreatment and drug side effects, the system recommends reducing the dosage of traditional Chinese medicine by 20% at this point, in order to maintain efficacy while reducing unnecessary energy consumption and the burden on the body.

[0177] Conversely, when the test results show a nodule shrinkage rate greater than 10% but less than 0.8 (i.e., insufficient shrinkage trend or a shrinkage rate at the critical value), it indicates that although the patient has responded to the treatment to some extent, the overall improvement is limited, suggesting that the body's metabolism and energy circulation still need further strengthening. At this time, the system suggests increasing the intensity of aerobic exercise and adjusting the exercise target to a heart rate of 120 bpm to increase the cardiopulmonary blood supply and oxygenation capacity, improve the body's overall energy metabolism level, thereby synergizing with drug intervention and improving the overall therapeutic effect.

[0178] Through the aforementioned dynamic adjustment mechanism, this application introduces a closed-loop management model of "real-time monitoring—feedback adjustment—individual optimization" during the intervention process. This makes the intervention no longer fixed but flexibly adjustable based on the changing trends of the patient's physiological indicators and oncology parameters. This not only improves the scientific rigor and precision of the intervention but also avoids side effects and reduced efficacy caused by overtreatment or undertreatment, reflecting a dynamic and individualized risk control strategy combining traditional Chinese and Western medicine.

[0179] In some embodiments of this application, the risk scoring formula of the multi-dimensional assessment index system is as follows:

[0180] RiskScore = λ·Risk Factors + α·Imaging Weights + β·Liquid Biopsy Weights + γ·Symptom Weights + θ·Test Factors + ΨSyndrome Type;

[0181] Wherein, λ=0.3, α=0.2, β=0.22, γ=0.14, θ=0.14; the values ​​for Ψ syndrome types include liver stagnation = 1.2, phlegm stasis = 1.5, and heat toxicity = 1.8.

[0182] In this embodiment, the multi-dimensional assessment index system achieves a comprehensive quantitative assessment of breast cancer risk by establishing a unified risk scoring formula. This system integrates multi-source data from clinical and laboratory settings, transforming qualitative judgments based on a single indicator into multi-dimensional quantitative analysis, thereby overcoming the limitations of traditional methods that offer only a single, one-sided assessment.

[0183] The risk scoring formula is defined as follows:

[0184] RiskScore = λ·Risk Factors + α·Imaging Weight + β·Liquid Biopsy Weight + γ·Symptom Weight + θ·Laboratory Factors + ΨSymptom Type

[0185] The weights of each parameter have been statistically verified and empirically adjusted:

[0186] λ = 0.3 corresponds to individualized risk factors, including genetic background (such as BRCA1 / 2 mutations) and lifestyle habits (such as high-fat diet, smoking, and drinking).

[0187] α = 0.2, corresponding to the weight of imaging examinations, mainly including imaging findings such as mammography, ultrasound, and MRI, such as the distribution of calcifications, blood flow signal intensity, and nodule morphology;

[0188] β = 0.22, corresponding to the weight of liquid biopsy, including circulating tumor cells (CTC), circulating cell-free DNA (cfDNA), exosomes and serological indicators such as CA15-3;

[0189] γ = 0.14, corresponding to symptom weights, including clinical manifestations such as the texture of breast lumps, local tenderness, and characteristics of discharge;

[0190] θ = 0.14, corresponding to the test factors, including laboratory test results such as complete blood count, liver and kidney function, and hormone levels;

[0191] Ψ is a TCM syndrome correction coefficient used to incorporate constitution and syndrome factors into the model. Its values ​​include: Liver Qi stagnation = 1.2, Phlegm and Blood stasis = 1.5, and Heat and Toxin = 1.8.

[0192] In practical applications, the system first collects multi-source data from users and calculates scores for each dimension. These scores are then substituted into the formula mentioned above to obtain the final risk score. This score not only reflects the body's comprehensive risk at the molecular, imaging, clinical, and TCM constitution levels, but it can also be dynamically updated to adapt to changes in patients over time.

[0193] For example, when a patient has a BRCA1 mutation (a high-risk factor), ultrasound showing breast nodules with blood flow signals (an imaging abnormality), elevated CA15-3 (as indicated by liquid biopsy), breast tenderness (worsening symptoms), and is also diagnosed with "phlegm-stasis syndrome," the system will weight these factors simultaneously in the formula, resulting in a significantly elevated RiskScore, indicating that the patient is in a high-risk state. Conversely, as the above indicators gradually improve and the RiskScore decreases, it indicates a reduced risk.

[0194] Through this scoring system, this application can quantify and classify breast cancer risk management, and combined with the dynamic intervention module, achieve the goal of precise risk assessment that is "early detection, early intervention, quantifiable and traceable".

[0195] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for breast cancer risk assessment and intervention based on a multivariate coupling model, characterized in that, include: (1) Environmental benchmark quantification: The average temperature T, average absolute humidity M, and atmospheric pressure P of the user's birthplace over ≥8 years are collected. The annual average is calculated as the environmental baseline value μ, and the standard deviation σ is calculated as a measure of entropy increase. (2) Attribute mapping modeling: Define Yin and Yang attributes; Yin: ΔE = ΔM × ΔT × C; Yang: W = Q × P or W = F × S characterizes the conversion of matter into energy; Define the attributes of cold, heat, warmth, and coolness: Cold: The forming force is quantified by the enthalpy change ΔH; Heat: Dissipative force is quantified by entropy increase ΔS; Temperature: The transformation state from ΔH to ΔS satisfies ΔM×C×ΔT=ΔE∝W; Cool: The state of transformation from ΔS to ΔH; (3) Construct a dynamic risk assessment system: Using the environmental baseline value μ as the center, calculate the confidence interval [μ-nσ, μ+nσ] based on σ; Input the user's real-time environmental parameters, diet, exercise and meridian flow rhythm into the model, and output Yin-Yang attributes and cold-heat-warm-cool attributes; Correlation of pathological indicators: when the attributes are predominantly yin / cold, it activates the positive expression of HER2 and CA153 in breast nodules, and is matched with the trend of annual physical examination reports; (4) Assessment of energy imbalance risk: Calculate blood pressure energy: W_arterial = |Pulse pressure change| × Stroke volume × Heart rate × Time; Calculate respiratory energy: W_respiratory = respiratory pressure gradient × tidal volume × respiratory rate × time; When the ratio of arterial W to respiratory W exceeds the threshold, it is determined that internal energy causes meridian obstruction. (5) Medical verification and physiological assessment of the obstruction: The relationship curves between arterial blood oxygen partial pressure, venous carbon dioxide partial pressure and HER2 or CA153 were analyzed, and a double vertical axis line graph was drawn to clarify the degree of obstruction and the time of inflection point. The risk was marked by combining the gray shaded time period. (6) Intervention Module: Based on the selection of the dominant attribute, combined with the mapping rules of Western medicine indicators and Yin-Yang attributes, a thermodynamic equation for breast cancer risk was established. Attribute correction and integrated Chinese and Western medicine treatment were selected, and the changing trends of HER2 and CA153 and changes in ΔE value were dynamically monitored and the intervention intensity was adjusted. (7) Multi-dimensional evaluation indicator system: By integrating risk factors, imaging weights, liquid biopsy weights, symptom weights, and laboratory factors, and combining them with dynamic syndrome classification, a breast cancer risk level determination system is formed.

2. The method according to claim 1, characterized in that, In the environmental benchmark quantification, the environmental benchmark value μ must satisfy a sample size of ≥50 cases; when the collected data is less than 50 cases, n-1 degrees of freedom correction is used.

3. The method according to claim 1, characterized in that, The rules for determining the cold, hot, warm, and cool attributes are as follows: When ΔH / ΔS>1, it is a cold attribute; When ΔS / ΔH > 1, it is a thermal property; When ΔH / ΔS or ΔS / ΔH is in the range [0.8, 1.2), it is determined to be either warm or cool, respectively.

4. The method according to claim 1, characterized in that, In the dynamic risk assessment, dietary attributes are determined based on the hot / cold, warm / cool classification of ingredients in the food database; exercise energy is determined based on the ratio of ΔE to W respiration, where ΔE / W respiration > 1 indicates heat and < 1 indicates cold; the meridian flow is corrected and determined based on time of day, pulse pressure, heart rate, and respiratory parameters.

5. The method according to claim 1, characterized in that, In the assessment of energy imbalance risk, the evaluation of meridian obstruction includes the corresponding determination of the Chong meridian, Ren meridian, liver meridian, stomach meridian and lung meridian, and a comprehensive judgment is made through thermal imaging, body temperature distribution, blood pressure and metabolic indicators.

6. The method according to claim 1, characterized in that, The medical verification physiological assessment analyzes the dynamic changes of PaO2 and PvCO2 using a dual-axis line graph, and correlates them with the inflection point time of HER2 or CA153, and determines the degree of paralysis by combining the gray shaded time period.

7. The method according to claim 1, characterized in that, In the intervention module, when Yin is excessive and cold is congealed, warming Yang and unblocking the meridians are used, including traditional Chinese medicine, acupuncture, moxibustion, massage and aerobic exercise; when Yang is excessive and entropy increases, Yin-nourishing and fire-reducing traditional Chinese medicine and low-entropy diet are used.

8. The method according to claim 1, characterized in that, The dynamic adjustment of the intervention module includes: when the CA153 decrease rate is <5% / week and the nodule volume reduction rate is >10%, reducing the Chinese medicine dosage by 20%; when the nodule reduction rate is >10% and <0.8, increasing the aerobic exercise intensity to a heart rate of 120 bpm.

9. The method according to claim 1, characterized in that, The risk scoring formula for the multi-dimensional assessment indicator system is as follows: RiskScore = λ·Risk Factors + α·Imaging Weights + β·Liquid Biopsy Weights + γ·Symptom Weights + θ·Test Factors + ΨSyndrome Type; Wherein, λ=0.3, α=0.2, β=0.22, γ=0.14, θ=0.14; the values ​​for Ψ syndrome types include liver stagnation = 1.2, phlegm stasis = 1.5, and heat toxicity = 1.8.

Images