CN-122000086-A - Breast cancer risk assessment and intervention method based on multielement coupling model

CN122000086ACN 122000086 ACN122000086 ACN 122000086ACN-122000086-A

Abstract

The invention relates to the technical field of data processing, and discloses a breast cancer risk assessment and intervention method based on a multi-element coupling model, which comprises the following steps: through the interaction of environmental parameters such as quantized temperature, humidity, air pressure and the like and human energy metabolism, through the interaction of quantized food cold and heat attributes, exercise energy consumption and meridian flow rhythm, the real-time prediction, grading management and intervention of worsening risks are realized by adopting the synergistic effect of classical prescriptions, acupuncture therapy, guided exercise and the like according to the principle and adopting a machine learning algorithm through the dynamic balance relation of quantized blood pressure energy and respiratory energy. The invention establishes a multidimensional association and regulation coupling model of environment, psychology and physiology, and realizes the prediction of breast cancer diseases and the prognosis evaluation of tumors.

Inventors

DONG YONGSHENG
DONG XINRUI
DONG YUNPENG

Assignees

威韧智能科技(昆山)有限公司

Dates

Publication Date: 20260508
Application Date: 20250904

Claims (9)

1. A breast cancer risk assessment and intervention method based on a multivariate coupling model, comprising: (1) Environmental benchmark quantification: collecting average temperature T, average absolute humidity M and atmospheric pressure P of a user with the birth place being more than or equal to 8 years, calculating an annual average value as an environment reference value mu, and calculating a standard deviation sigma as an entropy increment; (2) Modeling attribute mapping: Defining yin-yang attributes; Yin: Δe=Δm× ΔT×C; positive w=q×p or w=f×s characterizes the conversion of a substance into energy; Defining cold, heat, warm and cool attributes: Cold forming force is quantified by enthalpy change delta H; Heat dissipation force is quantified by entropy increase Δs; Temperature: the conversion state of delta H to delta S is satisfied ΔM×C×ΔT =Δe≡w; Cooling, namely converting delta S into delta H; (3) Constructing a dynamic risk assessment system: Calculating a confidence interval [ mu-nσ, mu+nσ ] based on σ with the environmental reference value mu as a center; inputting real-time environmental parameters, diet, exercise and midnight-noon ebb-flow rhythm of a user into a model, and outputting yin-yang properties, cold and heat and cool properties; associating pathological indexes, activating positive expression of mammary nodule HER2 and CA153 when the attribute is slightly negative/cold, and matching by combining annual physical examination report trend; (4) Risk assessment of energy imbalance: calculating the blood pressure energy, namely W artery= |pulse pressure difference variable quantity|multiplied by stroke volume multiplied by heart rate multiplied by time; Calculating breathing energy, wherein Wbreathing=breathing pressure difference×tidal volume×breathing frequency×time; When W artery/W respiration exceeds a threshold value, judging that the meridian blockage can be caused; (5) Medical validation physiological assessment of obstruction: Analyzing a relation curve of arterial blood oxygen partial pressure, venous carbon dioxide partial pressure and HER2 or CA153, drawing a double-vertical axis line graph, clarifying the blockage degree and inflection point time, and carrying out risk marking by combining a gray shade period; (6) And an intervention module: According to a scheme of selecting attribute widespread election, combining western medicine indexes and yin-yang attribute mapping rules, establishing a breast cancer risk thermodynamic equation, selecting attribute correction and traditional Chinese and western medicine cooperative treatment, dynamically monitoring HER2 and CA153 variation trend and delta E value variation, and adjusting intervention intensity; (7) Multidimensional assessment index system: And integrating risk factors, imaging weights, liquid biopsy weights, symptom weights and inspection factors, and combining syndrome type dynamic grading to form a breast cancer risk grade judging system.
2. The method of claim 1, wherein in the environment reference quantification, the environment reference value μ is required to satisfy the sample size of not less than 50 cases, and when the acquired data is less than 50 cases, n-1 degree of freedom correction is adopted.
3. The method according to claim 1, wherein the rule for determining the cold, hot, warm, and cool properties is: when delta H/delta S >1, the cold property is obtained; when DeltaS/DeltaH >1, is a thermal attribute; when Δh/Δs or Δs/Δh is within [0.8,1.2 ], it is determined as a temperature attribute or a cool attribute, respectively.
4. The method according to claim 1, wherein in the dynamic risk assessment, the dietary attribute is determined according to cold, heat, temperature and cool typing of a food material database, the exercise energy is determined according to a ratio of Δe to W respiration, Δe/W respiration >1 is heat and is cold when <1, and the midnight-noon ebb-flow is corrected and determined according to time of day and pulse pressure, heart rate and respiratory parameters.
5. The method according to claim 1, wherein in the assessment of risk of energy imbalance, the assessment of meridian obstruction comprises corresponding assessment of pulse, conception vessel, liver channel, stomach channel and lung channel, and comprehensive assessment is performed by thermal imaging, body temperature distribution, blood pressure and metabolic index.
6. The method according to claim 1, wherein the medical validated physiological assessment analyzes the dynamic changes of PaO 2 and PvCO 2 by a dual-axis line graph and makes a determination of the degree of blockage in combination with gray shade periods corresponding to the inflection point times of HER2 or CA 153.
7. The method of claim 1, wherein the intervention module uses a method of warming yang and activating collaterals, including traditional Chinese medicine, acupuncture, fire therapy, massage and aerobic exercise, when yin is cold and congeal, and uses traditional Chinese medicine for nourishing yin and reducing fire and low entropy diet when Yang Kangshang increases.
8. The method of claim 1, wherein the dynamic adjustment of the intervention module comprises decreasing the dosage of the drug by 20% when the CA153 decrease rate is < 5%/week and the nodule volume reduction rate is >10%, and increasing the aerobic exercise intensity to 120bpm when the nodule reduction rate is >10% and < 0.8.
9. The method of claim 1, wherein the risk scoring formula for the multi-dimensional assessment index system is: riskscore=λ -risk factor+α -image weight+β -liquid biopsy weight+γ -symptom weight+θ -test factor+ψ syndrome; wherein, λ=0.3, α=0.2, β=0.22, γ=0.14, θ=0.14, and the value of ψ syndrome includes liver depression=1.2, phlegm stasis=1.5, and heat toxin=1.8.

Description

Breast cancer risk assessment and intervention method based on multielement coupling model Technical Field The invention relates to the technical field of data processing, in particular to a breast cancer risk assessment and intervention method based on a multi-element coupling model. Background Breast cancer is a common malignant tumor of females, and the occurrence and development of the breast cancer are comprehensively affected by genetic, environmental, psychological and physiological factors. The existing risk assessment method still has a great limitation that firstly, the traditional risk assessment is dependent on static gene detection results, such as BRCA1/2 gene mutation screening. Such methods can reveal genetic susceptibility, but do not reflect the dynamic effects of the environment and the physiological state of the individual. Secondly, the constitution classification of traditional Chinese medicine has important guiding significance in clinic, but the existing method lacks objective quantification standard, and is difficult to establish a corresponding relation with modern molecular pathology indexes (such as HER2 and CA 153), thereby limiting the application of the method in accurate evaluation. Again, the TNM staging system is a currently common standard for breast cancer staging, but it is based primarily on tumor size and metastasis, and cannot dynamically reflect changes in the real-time biological behavior of tumors. The lack of consistency with histopathological results (κ=0.42) affects the independent evaluation significance of Circulating Tumor Cell (CTC) detection, although potentially valuable as a new molecular tool. In addition, traditional imaging examinations have a certain hysteresis, and usually need to be performed once for reexamine at intervals of 3 to 6 months, during which a blind zone for risk monitoring is easily formed, so that early lesions or risk signals are difficult to find in time. In terms of environmental medical research, the existing work is mostly focused on the action of pollutants, while the thermodynamic effect on climate parameters is not focused enough. For example, the product of mean absolute humidity and temperature change (ΔM×ΔT) may have a regulatory effect on the mammary gland microenvironment, but prior methods have not incorporated it into a risk assessment system. Therefore, how to convert the traditional properties of yin-yang cold and heat in traditional Chinese medicine into a calculable delta E/W equation to realize the correspondence with modern thermodynamic parameters, and how to verify the physiological basis of meridian blockage by arterial blood oxygen partial pressure (PaO 2) and venous carbon dioxide partial pressure (PvCO 2) become the technical problem to be solved in the breast cancer risk assessment method. Disclosure of Invention In view of the above, the present invention provides a breast cancer risk assessment and intervention method based on a multivariate coupling model to solve the above-mentioned problems. The invention provides a breast cancer risk assessment and intervention method based on a multi-element coupling model, which comprises the following steps: (1) Environmental benchmark quantification: collecting average temperature T, average absolute humidity M and atmospheric pressure P of a user with the birth place being more than or equal to 8 years, calculating an annual average value as an environment reference value mu, and calculating a standard deviation sigma as an entropy increment; (2) Modeling attribute mapping: Defining yin-yang attributes; Yin: Δe=Δm× ΔT×C; positive w=q×p or w=f×s characterizes the conversion of a substance into energy; Defining cold, heat, warm and cool attributes: Cold forming force is quantified by enthalpy change delta H; Heat dissipation force is quantified by entropy increase Δs; Temperature: the conversion state of delta H to delta S is satisfied ΔM×C×ΔT =Δe≡w; Cooling, namely converting delta S into delta H; (3) Constructing a dynamic risk assessment system: Calculating a confidence interval [ mu-nσ, mu+nσ ] based on σ with the environmental reference value mu as a center; inputting real-time environmental parameters, diet, exercise and midnight-noon ebb-flow rhythm of a user into a model, and outputting yin-yang properties, cold and heat and cool properties; associating pathological indexes, activating positive expression of mammary nodule HER2 and CA153 when the attribute is slightly negative/cold, and matching by combining annual physical examination report trend; (4) Risk assessment of energy imbalance: calculating the blood pressure energy, namely W artery= |pulse pressure difference variable quantity|multiplied by stroke volume multiplied by heart rate multiplied by time; Calculating breathing energy, wherein Wbreathing=breathing pressure difference×tidal volume×breathing frequency×time; When W artery/W respiration exceeds a threshold value, judging that the meridian b