Tumor pathogenesis interaction analysis method, device, equipment, medium and product

Abstract

The invention discloses a tumor cause interaction analysis method, device, equipment, medium and product, the tumor cause interaction analysis method comprises the following steps: an acquisition step: obtaining information data of a tumor patient through a man-machine interaction mode, the information data comprising evolution data based on CIN expression; a comparison step: comparing the information data of the tumor patient with environmental influence factors pre-stored in a comparison database, and matching a plurality of corresponding environmental influence factors; a calculation step: calculating weights according to the plurality of matched environmental influence factors; and an intervention step: providing an intervention scheme for the tumor patient according to the calculated weight. According to the invention, the part of human intervention is reduced, the objectivity and repeatability of tumor etiological judgment are improved, and a corresponding most suitable intervention scheme can be given.

Description

Technical Field

[0001] The present invention relates to the field of interactive analysis, and in particular to a method, device, equipment, medium, and product for interactive analysis of tumor etiology. Background Art

[0002] Due to the complexity of tumor onset and the limitations of basic research, tumors have become the most difficult typical diseases to determine the cause, and no disease can be cured before the cause is clear.

[0003] Existing methods for determining the cause of tumors mainly include clinical examination and symptom assessment, imaging examination, blood tests, biopsy and pathological analysis.

[0004] However, there are thousands of factors that induce tumors, and none of the above existing analysis and evaluation methods can effectively determine the cause of tumors.

[0005] It can be seen that whether it is possible to provide an improved method for determining the cause of tumors based on the deficiencies in the existing technology has become a technical problem that needs to be solved urgently by those skilled in the art. Summary of the Invention

[0006] Problems to be solved by the present invention

[0007] The purpose of the present invention is to overcome the shortcomings of the prior art and provide an improved way to determine the cause of tumors.

[0008] Methods for solving problems

[0009] A first aspect of the present invention relates to a method for interactive analysis of tumor etiology, characterized by comprising the following steps:

[0010] The acquisition step involves obtaining information data of tumor patients through human-computer interaction, including evolutionary data based on CIN expression;

[0011] a comparison step, comparing the information data of the tumor patient with the environmental influencing factors pre-stored in the comparison database, and matching the corresponding multiple environmental influencing factors;

[0012] A calculation step, calculating weights based on the matched multiple environmental influencing factors;

[0013] Intervention step: provide intervention plans for cancer patients based on the calculated weights.

[0014] Preferably, the information data of tumor patients also includes: disease type, system category, genetic factors, psychological factors, dietary factors, behavioral factors, environmental factors, growth factors, social factors, and medical factors.

[0015] Preferably, the evolutionary data is defensive evolution or adaptive evolution.

[0016] Preferably, the human-computer interaction methods include: scenario reproduction, question and answer, multiple choice questions, and consultation with surrounding people.

[0017] Preferably, the environmental influencing factors stored in the comparison database are dynamically adjusted based on machine learning.

[0018] Preferably, in the comparison step, three environmental influencing factors are matched, and in the calculation step, weights are calculated for the three environmental influencing factors.

[0019] A second aspect of the present invention relates to a device for interactive analysis of tumor etiology, comprising:

[0020] The acquisition module acquires information data of tumor patients through human-computer interaction, including evolutionary data based on CIN expression;

[0021] The comparison module compares the information data of the tumor patient with the environmental influencing factors pre-stored in the comparison database, and matches the corresponding multiple environmental influencing factors;

[0022] A calculation module calculates weights based on multiple matched environmental influencing factors;

[0023] The intervention module provides intervention plans for cancer patients based on the calculated weights.

[0024] The third aspect of the present invention relates to a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the tumor etiology interactive analysis method of the first aspect are implemented.

[0025] A fourth aspect of the present invention relates to a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the tumor etiology interactive analysis method of the first aspect.

[0026] A fifth aspect of the present invention relates to a computer program product, comprising a computer program, which, when executed by a processor, implements the steps of the tumor etiology interactive analysis method of the first aspect.

[0027] Effects of the Invention

[0028] The improved interactive tumor etiology analysis method provided by the present invention reduces the need for human intervention, thereby reducing potential subjective errors and improving the objectivity and repeatability of tumor etiology determination. Furthermore, based on the accurately determined tumor etiology, the most appropriate intervention plan can be provided, thereby providing more accurate information to cancer patients. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 This is a flow chart of the method for interactive analysis of tumor etiology according to the first embodiment of the present invention.

[0030] Figure 2 This is a schematic diagram of a preferred embodiment of the tumor etiology interactive analysis method according to the first embodiment of the present invention.

[0031] Figure 3 This is a structural diagram of a computer device according to a third embodiment of the present invention. DETAILED DESCRIPTION

[0032] Embodiments of the present invention will now be described more fully with reference to the accompanying drawings, in which embodiments of the present invention are shown. However, the present invention may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein.

[0033] The terms used herein are for the purpose of describing specific embodiments only and are not intended to limit the present disclosure. As used herein, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that when used herein, the term "comprising" specifies the presence of stated features, integers, steps, operations, elements, and / or components, but does not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof.

[0034] Unless otherwise defined, the terms used herein (including technical and scientific terms) have the same meaning as commonly understood by those skilled in the art to which the present disclosure belongs. The terms used herein should be interpreted as having the same meaning as that in the context of this specification and the relevant art, and should not be interpreted in an idealized or overly formal sense unless specifically defined as such herein.

[0035] Hereinafter, the tumor etiology interactive analysis method according to the present invention will be described in detail.

[0036] Figure 1 FIG. 1 is a flow chart of the method for interactive analysis of tumor etiology according to the first embodiment of the present invention. Figure 1 As shown, the specific process of the interactive analysis method for tumor etiology is as follows: first, a collection step (step S100) is performed to obtain information data of the tumor patient through human-computer interaction, including evolutionary data based on CIN expression. Then, a comparison step (step S101) is performed to compare the information data of the tumor patient with environmental influencing factors pre-stored in a comparison database to match multiple corresponding environmental influencing factors. Then, a calculation step (step S102) is performed to calculate weights based on the matched multiple environmental influencing factors. Finally, an intervention step (step S103) is performed to provide an intervention plan for the tumor patient based on the calculated weights.

[0037] Step S100 is explained. Specifically, data is collected through human-computer interaction, and the human-computer interaction method preferably includes: scene reproduction, question and answer, multiple-choice questions, consultation with surrounding people and other methods. The device for collecting data includes but is not limited to computers, mobile phones, tablets, cranks, keyboards, buttons and other information input devices. The human-computer interaction device includes but is not limited to projection screens, displays, glasses and other display devices. Figure 2 As shown, a preferred embodiment is to use a combination of question-answering and multiple-choice questions on a human-computer interaction device, first selecting a disease type, and then answering some multiple-choice questions or question-answering questions. The collected information data includes evolutionary data based on CIN expression.

[0038] The theoretical basis for the present invention's determination of the etiology of tumors is based on the "evolution-mutation" theory. In this theory, the phenomenon of genomic disorder is called chromosome instability (CIN). While normal cells have two copies of each chromosome, the chromosomes in cancer cells have a different number of copies, ranging from as few as one to as many as five or six, and sometimes even fragmented. This genomic disorder is called "chromosome instability."

[0039] The "evolution-mutation" theory posits that the fundamental cause of tumors is the need for evolution of populations, individuals, systems, and organs. Tumors are essentially the product of evolutionary processes driven by individuals adapting to a changing living environment. Some individuals' evolved tissues lose their normal metabolic functions, representing evolutionary failure. Once growth becomes uncontrolled, they develop into malignant tumors. Other individuals' evolved tissues fully function as normal organs, representing evolutionary success. If evolution proceeds smoothly without losing tissue function, human-tumor coexistence is possible. A more appropriate term for tumor incidence might be "evolutionary probability." Individual evolutionary probability is influenced by both internal and external factors, with external factors outweighing internal ones. Furthermore, individual evolutionary probability is positively correlated with age and negatively correlated with the stability of the living environment. Populations adapt to a changing environment through continuous evolution, and this evolutionary behavior is achieved by individual individuals within the population. When an organ or system is induced by a continuously changing environment, over time, some individuals will initiate evolutionary processes. This first manifests as elevated tumor markers and the onset of immunosuppression to prevent the immune system from killing evolving cells, thus creating conditions for tissue evolution. Relevant tumor markers drive the genetic recombination of primary tissue cells in a CIN-like manner. Through continuous permutations and combinations, cells with enhanced defenses or improved adaptability are selected. If cells with the original tissue function emerge in this new combination, evolution is successful, and the body switches off immunosuppression. Other CIN cells without tissue function are eliminated by the immune system, thus achieving localized evolution of the individual tissue. If cells with the original function cannot form in the new combination, evolution fails, and uncontrolled growth manifests as a tumor. Some of these dysfunctional cells converge to distant sites, forming metastases. Within this population where evolution fails, a small percentage of individuals can undergo secondary evolution. Clinically, surgery, chemotherapy, radiotherapy, immunotherapy, and other methods are typically used to eliminate or kill the tumor cells in the lesion, and the patient is then discharged home to recuperate. However, because the living environment, including water, air, dietary habits, and emotional habits, remains unchanged, the factors inducing evolution remain, and evolution can soon re-initiate, resulting in a relapse.

[0040] Evolutionary data based on CIN expression is preferably defensive or adaptive evolution. Defensive evolution refers to the evolution of an organism to defend against or avoid harmful factors, such as resisting pathogen infection or escaping predators. It is usually specific evolution in response to a specific threat and may involve changes in morphology, structure, physiological function, behavior, and other aspects, corresponding to squamous cell carcinoma. Adaptive evolution refers to the evolution of an organism to better adapt to the environment, including adaptation to various environmental factors such as climate, food resources, and living space. It is usually extensive, involving changes in multiple aspects of the organism and may require a long-term, multi-generational evolutionary process. For example, an organism's adaptation to cold climates, high altitude environments, and specific food resources, corresponds to adenocarcinoma.

[0041] The cancer patient's information data preferably also includes: disease type, system category, genetic factors, psychological factors, dietary factors, behavioral factors, environmental factors, growth factors, social factors, and medical factors. Examples of system categories include: musculoskeletal system, digestive system, respiratory system, urinary system, reproductive system, endocrine system, circulatory system, nervous system, immune system, and skin.

[0042] Specifically, the comparison database pre-stores environmental influencing factors, which are pre-set at fixed positions in the comparison database according to their mechanisms of action on target organs, and are assigned different initial weights according to their degree of damage to the body and the degree of biochemical differences.

[0043] The International Agency for Research on Cancer (IARC) publishes the carcinogens confirmed by the agency every year, which is the most authoritative data on carcinogenicity assessment to date.

[0044] The classification of carcinogens published by IARC is as follows:

[0045] Group 1: Certain carcinogens to humans:

[0046] Including: processed meat, alcoholic beverages, tobacco, aflatoxin, asbestos, formaldehyde, betel nut, etc.

[0047] Group 2A: Very likely to be carcinogenic to humans:

[0048] Including: acrylamide, red meat, inorganic lead compounds, etc.

[0049] Group 2B: Possible carcinogens to humans:

[0050] Including: coffee, mobile phone radiation, chloroform, DDT, diesel fuel, etc.

[0051] Group 3: Not classifiable as carcinogenic to humans:

[0052] Including: tea, aniline, caffeine, melamine, etc.

[0053] Based on the latest IARC list of carcinogens, this paper has supplemented it by adding other factors that may cause cancer. This brings the total number of environmental factors pre-stored in the comparison database to over 6,000. The following are some of these factors and their initial weights.

[0054] When the inducement causes complete damage to tissue cells and loss of function, the weight is set at 90-100%;

[0055] When the inducement causes dual damage to the structure and function of tissue cells, the weight is set at 60-90% according to the degree of damage;

[0056] When the inducement causes damage to the tissue cell structure but intact function, the weight is set at 40-60% according to the degree of damage;

[0057] When the inducement causes damage to tissue cell function but intact structure, the weight is set at 40-60% according to the degree of damage;

[0058] The inducement causes biochemical changes in tissue cells, but the functions are basically intact, and the weight is set at 20-40%;

[0059] The inducement causes tissue cells to undergo mild regenerative structural changes with intact morphology, and the weight is set at 20-40%;

[0060] The inducement is mild, which keeps the pressure on tissue cells within the tolerable physiological range and is not included in the weight index.

[0061] For example:

[0062] Dust - Respiratory System - Defensive Evolution Zone - Weight 60%;

[0063] Cold Air - Respiratory System - Defensive Evolution Zone - Weight 20%;

[0064] Compound - Respiratory System - Defense System Evolution Zone - Weight 35%;

[0065] Strong Damage - Respiratory System - Defensive Evolution Zone - Weight 90%;

[0066] Chemical exhaust-respiratory system-adaptive evolution zone-weight 80%;

[0067] Fume category - respiratory system - adaptive evolution zone - weight 40%;

[0068] Sharp injury - digestive system (skin) - defensive evolution zone - weighting 80%;

[0069] Strong light exposure - skin - defensive evolution zone - weight 90%;

[0070] Liver metabolism drugs - digestive system - adaptive evolution zone - weight 55%;

[0071] Hepatitis virus - digestive system - defensive evolution zone - weighting 60%;

[0072] Diabetes - Digestive System - Adaptive Evolution Zone - Weight 20%;

[0073] Dry stool - digestive system - defensive evolution zone - weighting 75%;

[0074] Loose stools - Digestive system - Adaptive evolution zone - Weight 15%.

[0075] Step S102 is explained. Specifically, after multiple environmental influencing factors are matched in step S101, the final weight of each environmental influencing factor is calculated based on the initial weights of these environmental influencing factors. The specific calculation method is as follows.

[0076] Preferably, in step S101, three environmental influencing factors are matched, and in step S102, weights of the three environmental influencing factors are calculated.

[0077] Then assume that the initial weights of the three matched environmental factors are a, b, and c respectively.

[0078] The final weights of the three environmental factors in the calculation results are a1, b1, and c1 respectively.

[0079] The calculation formula is: a1=a÷(a+b+c)×100%,

[0080] b1=b÷(a+b+c)×100%,

[0081] c1=c÷(a+b+c)×100%.

[0082] For example, a lung cancer patient, whose job is limeworker, has squamous cell carcinoma and is in the defensive evolution zone, matches three environmental influencing factors: dust with an initial weight of 60%, strong damaging substance (lime) with an initial weight of 90%, and dryness and dehydration with an initial weight of 10%. After the above calculation, the final weight output is: lime 56%, dust 38%, and dryness and dehydration 6%.

[0083] The environmental influencing factors stored in the comparison database are not static. Preferably, they are dynamically adjusted based on a machine learning approach. The machine learning approach is preferably a support vector machine (SVM), or alternatively, a Lasso regression or decision tree. As a result, the matching accuracy is increasingly improved.

[0084] Step S103 is described below. Specifically, based on the calculated weights, an intervention plan corresponding to the calculated results is provided to the cancer patient. For example, in the above example, based on the calculated results of 56% lime, 38% dust, and 6% dryness and dehydration, the intervention plans are: (1) leave the lime environment; (2) wear a mask; and (3) try to change residence or use a humidifier.

[0085] The following examples illustrate the intervention options.

[0086] Taking lung cancer as an example, it is divided into two types: squamous cell carcinoma of the lung and adenocarcinoma of the lung.

[0087] The following environmental factors are hypothesized to influence squamous cell lung cancer (defensive evolution):

[0088] Smoke, dust, haze, oil smoke, asbestos, casting, rubber, electric welding, incomplete combustion exhaust of automobiles, etc.

[0089] Various bacteria, viruses, tuberculosis, fibrosis, etc.;

[0090] Radioactive radiation, supercooled and superheated gases.

[0091] Lung adenocarcinoma (adaptive evolution) is hypothesized to have the following environmental influences:

[0092] Chemical plant waste gas, pesticide plant waste gas, landfill evaporation gas, sulfide in automobile exhaust;

[0093] Arsenic, chromium, nickel, beryllium, coal tar, trichloromethyl ether, chloromethyl methyl ether, tobacco heating products;

[0094] Poor quality volatile decoration pollutants.

[0095] The intervention plan was designed as follows:

[0096] Ensure that at least 50% of the time spent living in a different location is spent, and change lifestyle habits (smoking, cooking with high oil content, going out on hazy days, etc.);

[0097] Regional selection: coastal-inland; dry-humid; many cars-few cars; urban-rural; south-north.

[0098] Taking cervical cancer as an example, it is divided into two types: cervical squamous cell carcinoma and cervical adenocarcinoma.

[0099] The following environmental factors are hypothesized to influence cervical squamous cell carcinoma (defensive evolution):

[0100] External stimuli exceeding the standard (length, temperature, hardness) such as nails, hard objects, rubber, and plastic;

[0101] Various bacteria, viruses, poor personal hygiene on both sides, etc.

[0102] Bad lubricants, inferior family planning tools, etc.

[0103] The following environmental factors are hypothesized to influence cervical adenocarcinoma (adaptive evolution):

[0104] Foreign protein-stimulated mutagenesis triggered by multiple partners;

[0105] Hormonal disorders related to menstrual disorders, delayed childbearing, improper lactation, etc.

[0106] Endocrine changes caused by negative emotions.

[0107] The intervention plan was designed as follows:

[0108] Pay attention to hygiene, wash yourself with clean water every day, change your underwear every day, and the other person must clean with soap before sex;

[0109] Avoid multiple sexual partners or avoid multiple types of protein stimulation;

[0110] Give birth to and raise offspring according to the normal biological reproduction and nursing cycle;

[0111] Develop good emotional management and regulation skills.

[0112] Taking intestinal cancer as an example, it is divided into three types: intestinal squamous cell carcinoma, small intestine cancer and large intestine cancer.

[0113] Intestinal squamous cell carcinoma (defensive evolution) is hypothesized to have the following environmental influencing factors:

[0114] Occurs only near the rectum and anus;

[0115] It can be caused by factors such as dry stool, inflammatory diseases, and external stimulation.

[0116] Small intestinal cancer (which does not have favorable evolutionary conditions, has a low incidence, and is often induced by digestive gland diseases) is hypothesized to have the following environmental influencing factors:

[0117] Complexity: There are many types of enzymes in the small intestine (pancreatic juice, bile, small intestinal juice, etc.), and short-term changes in individual enzymes are not capable of changing the overall environment;

[0118] Fast: 3-8 hours to complete a distance of 4-6 meters, rapid absorption, no time as an evolutionary factor;

[0119] Directional: The main absorbents are glucose, amino acids, glycerol and fatty acids, vitamins, inorganic salts, etc. Other substances are not easily absorbed.

[0120] Colorectal cancer (intestinal cancer, adenocarcinoma, adaptive evolution) is hypothesized to have the following environmental influencing factors:

[0121] Slow: The 1.5-meter large intestine retains food for at least 6-8 hours, or even 1-7 days; after water is reabsorbed, the residue moves more slowly, which has a time element.

[0122] Residue: Waste residues and difficult-to-absorb chemicals that cannot be absorbed by the body remain in the large intestine, and the environmental changes are drastic and continuous.

[0123] Habits: Long-term dietary habits (use of additives and chemicals) will form evolutionary needs.

[0124] Trauma: Hard objects, hard fibers, irritating chemicals, bacteria, viruses, etc. in the residues cause local inflammation, polyps, etc., accelerating the evolution process.

[0125] The intervention plan was designed as follows:

[0126] Sort out eating habits and make corresponding changes (poor quality food, single food, eating habits developed later, such as spicy, oily, medicinal, pickled, etc.);

[0127] Do moderate exercise, practice abdominal massage, and improve intestinal motility. If necessary, you can take a bath and do an enema on your own to develop the habit of defecating within 6-24 hours.

[0128] Strengthen emotional management to avoid autonomic nervous system disorders and affect gland cell function.

[0129] Strengthen the management of chronic diseases of organs such as the pancreas, liver and gallbladder to maintain a stable secretory environment.

[0130] The above-mentioned interactive analysis method for tumor etiology is further described in detail below through Examples 1-9. In each example, information is collected through a human-computer interactive system interface. To protect privacy, the patient's name is coded for protection.

[0131] Example 1:

[0132] Patient Li X, male, 56 years old, civil servant, underwent etiology analysis one month after surgery for squamous cell lung cancer.

[0133] Enter the system interface, select the lung cancer portal, then the squamous cell lung carcinoma sub-portal. After answering 10-20 multiple-choice or essay questions, the system determines that squamous cell carcinoma, based on the evolutionary data of CIN expression, is a defensive evolutionary behavior of the bronchial epithelium caused by long-term wear and tear. After comparing the data with environmental factors in the comparison database and calculating the weights, the final weights for each environmental factor are as follows: dry air accounts for 20%, persistently high concentrations of inhalable particulate matter account for 70%, and insufficient bronchial mucosal secretions account for 10%. Recommendations for lifestyle interventions are also provided: 1. Relocating to a coastal city; 2. Continuous daily saline nebulization is recommended; 3. Developing the habit of wearing a mask is recommended.

[0134] Example 2:

[0135] Patient Wang XX, male, 47 years old, miner, underwent etiology analysis before surgery for squamous cell carcinoma of the lung.

[0136] Enter the system interface, select the lung cancer portal, then the squamous cell lung carcinoma sub-portal. After answering 10-20 multiple-choice or essay questions, the system determines that squamous cell carcinoma, based on the evolutionary data of CIN expression, is a defensive evolutionary behavior of the bronchial epithelium caused by long-term exogenous damage. After comparing and weighting environmental factors in the comparison database, the final weighting for each environmental factor is: 10% for high-risk occupations and 90% for 22 years of asbestos crystal inhalation damage. Recommendations for lifestyle interventions are also provided: 1. Immediately remove from working environments exposed to asbestos dust; 2. Continuous daily inhalation of saline and epidermal growth factor; 3. Develop the habit of wearing a mask.

[0137] Example 3:

[0138] Patient Zhao XX, female, 19 years old, student, was diagnosed with lung adenocarcinoma one week after the early onset, and the cause of the disease was analyzed.

[0139] Enter the system interface, select the lung cancer portal, then the lung adenocarcinoma sub-portal. After answering 10-20 multiple-choice or essay questions, the system determines that the evolutionary data based on CIN expression indicates that adenocarcinoma is an adaptive evolutionary behavior caused by increased alveolar cell permeability due to long-term low blood oxygen exchange rate. After comparing and weighting environmental factors in the comparison database, the final weight of each environmental factor is determined to be: excessive chemical plant emissions in the vicinity of the residence account for 60% of the weight, and reduced oxygen content in the respirable air account for 40% of the weight. The system also provides lifestyle intervention recommendations: 1. Relocation is recommended; 2. Oxygen therapy is recommended twice daily; 3. Wearing a mask is not recommended.

[0140] Example 4:

[0141] Patient Qi XX, female, 59 years old, housewife, underwent etiology analysis one year after surgery for lung adenocarcinoma.

[0142] Enter the system interface, select the lung cancer portal, then the lung adenocarcinoma sub-portal. After answering 10-20 multiple-choice or essay questions, the system determines that adenocarcinoma, based on evolutionary data based on CIN expression, is an adaptive evolutionary behavior caused by long-term oil and gas deposition leading to insufficient alveolar cell surface tension and low blood-oxygen exchange rate. After comparing and weighting environmental factors in the comparison database, the final weight of each environmental factor is concluded to be 100% weighted, citing improper cooking methods with high oil and high heat, inherited from elders, and long-term oil fume intake as the contributing factors. Recommendations for lifestyle interventions are also provided: 1. Reduce the number of chefs and replace cooking staff; 2. Recommend twice-daily oxygen therapy; 3. Change the family diet; 4. Learn abdominal breathing exercises, etc.

[0143] Example 5:

[0144] Patient Liu XX, male, 41 years old, company owner, was diagnosed with thyroid cancer a week ago and underwent etiology analysis.

[0145] Enter the system interface, select the endocrine tumor portal, then the thyroid cancer sub-portal. After answering 10-20 multiple-choice or essay questions, the system determines that adenocarcinoma, based on the evolutionary data of CIN expression, represents an adaptive evolutionary behavior caused by long-term endocrine system imbalance, requiring enhanced neural and endocrine regulation. After comparing and weighting environmental factors in the database, the final weighting for each environmental factor is as follows: high corporate management pressure (10%), difficulty communicating with spouse (20%), poor emotional management skills (40%), and endocrine dysfunction (30%). The system also provides recommended lifestyle interventions: 1. Develop a hobby at least once or twice a week; 2. Learn stress-relief techniques, such as meditation, exercise, or emotional relaxation; 3. Establish effective communication channels among family members and create a relaxing living environment; 4. Reestablish values.

[0146] Example 6:

[0147] Patient Feng X, male, 32 years old, self-employed, was pathologically diagnosed with buccal mucosal squamous cell carcinoma and underwent etiology analysis.

[0148] Enter the system interface, select the oral cancer portal, then the buccal mucosal squamous cell carcinoma sub-portal. After answering 10-20 multiple-choice or essay questions, the system determines, based on the evolutionary data of CIN expression, that squamous cell carcinoma is a defensive evolutionary behavior caused by long-term, intense external stimulation of the buccal mucosa, strengthening its resistance. After comparing this with environmental factors in the database and calculating weights, the final weighting for each environmental factor is: 12 years of betel nut chewing (90%), smoking (8%), and oral mucosal dysfunction (2%). The system also provides recommended lifestyle interventions: 1. Immediately quit chewing betel nut, smoking, and drinking; 2. Reduce intake of irritating foods; 3. Follow a low-salt, low-sugar diet; and 4. Continue using a mucosal protective patch for six months.

[0149] Example 7:

[0150] The patient, Niu XX, female, 62 years old, retired from the enterprise, was pathologically diagnosed with buccal mucosal squamous cell carcinoma and the cause was analyzed.

[0151] Enter the system interface, select the oral cancer portal, then the buccal mucosal squamous cell carcinoma sub-portal. After answering 10-20 multiple-choice questions or essay questions, the system determines that squamous cell carcinoma, based on the evolutionary data of CIN expression, is a defensive evolutionary behavior caused by an enhanced inflammatory response in the buccal mucosa due to persistent damage, leading to accelerated growth. After comparing and weighting environmental factors in the comparison database, the final weights for each environmental factor are: 40% for 31 years of residual tooth roots, 35% for discomfort after wearing dentures without intervention, and 25% for long-term local irritation and ulceration. Recommendations for lifestyle interventions are also provided: 1. Extraction or grinding of residual sharp tooth roots is recommended; 2. Removal of removable partial dentures is recommended; 3. Denture reduction (increasing contact space with the buccal mucosa) is recommended; and 4. Continued use of mucosal protective patches for six months.

[0152] Example 8:

[0153] The patient, Jiang XX, female, 46 years old, a company employee, was diagnosed with colorectal cancer and underwent etiology analysis.

[0154] Enter the system interface, select the digestive tract tumor portal, then the colorectal squamous cell carcinoma sub-portal. After answering 10-20 multiple-choice or essay questions, the system determines, based on the evolutionary data of CIN expression, that squamous cell carcinoma is a defensive evolutionary behavior of the rectal mucosa against damage caused by long-term physical stimulation and dehydration. After comparing and weighting environmental factors in the comparison database, the final weights for each environmental factor are: long-term constipation with an 80% weight, insufficient food intake with a 10% weight, and insufficient fiber intake with a 10% weight. The system also provides lifestyle intervention recommendations: 1. Increase fiber intake; 2. Increase the total food intake by more than 200g per meal; 3. Perform abdominal massages twice daily for 15 minutes each; 4. Perform self-enemas as necessary to ensure 2-3 bowel movements per week.

[0155] Example 9:

[0156] Patient Du XX, male, 65 years old, retired cadre, was diagnosed with colorectal cancer and underwent etiology analysis.

[0157] Enter the system interface, select the digestive tract tumor portal, then the small intestinal cancer sub-portal. After answering 10-20 multiple-choice or essay questions, the system determines that the evolutionary data based on CIN expression indicates adaptive evolutionary behavior following a persistent imbalance in the proportions of intestinal fluid components, such as adenocarcinoma. After comparing the data with environmental factors in the comparison database and calculating the weights, the final weights for each environmental factor are: a significant long-term dietary preference (35%), a single nutritional structure (45%), and intestinal secretion disorders (20%). Recommendations for lifestyle interventions are also provided: 1. Increase dietary variety; 2. Reduce dietary intake; 3. Increase water intake to enhance intestinal motility; 4. Strictly control blood sugar levels and recommend switching from injectable insulin to oral enteric-coated insulin.

[0158] Thus, the interactive tumor etiology analysis method according to the first embodiment of the present invention achieves the following technical benefits: It reduces human intervention, thereby reducing potential subjective errors and improving the objectivity and repeatability of tumor etiology determination. Furthermore, based on the accurately determined tumor etiology, it can also provide the most appropriate intervention plan, thereby providing more accurate information to cancer patients.

[0159] The second embodiment of the present invention comprises a device for interactively analyzing tumor etiology, comprising: an acquisition module for acquiring information and data from tumor patients through human-computer interaction, including evolutionary data based on CIN expression; a comparison module for comparing the tumor patient's information and data with pre-stored environmental influencing factors in a comparison database, thereby matching multiple corresponding environmental influencing factors; a calculation module for calculating weights based on the matched multiple environmental influencing factors; and an intervention module for providing an intervention plan for the tumor patient based on the calculated weights. The device for interactively analyzing tumor etiology corresponds to the method for interactively analyzing tumor etiology of the first embodiment, and therefore, various variations of the first embodiment are also applicable to the second embodiment and will not be further elaborated here.

[0160] As described above, the interactive tumor etiology analysis device according to the second embodiment of the present invention reduces the need for human intervention, thereby reducing potential subjective errors and improving the objectivity and repeatability of tumor etiology determination. Furthermore, based on the accurately determined tumor etiology, the most appropriate intervention plan can be provided, thereby providing more accurate information to cancer patients.

[0161] The third embodiment of the present invention provides a computer device, the internal structure of which can be shown as follows: Figure 3 As shown. The computer device includes a processor, memory, network interface, and database connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The network interface of the computer device is used to connect to an external device to exchange data with the external device. When the computer program is executed by the processor, it implements the tumor etiology interactive analysis method involved in the first embodiment of the present invention.

[0162] Those skilled in the art will understand that Figure 3 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0163] A fourth embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon. When a processor executes the computer program, the method for interactive analysis of tumor etiology according to the first embodiment of the present invention is implemented.

[0164] A fifth embodiment of the present invention provides a computer program product, including a computer program. When a processor executes the computer program, the method for interactive analysis of tumor etiology according to the first embodiment of the present invention is implemented.

[0165] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0166] Although some specific embodiments of the present invention have been described in detail through examples, those skilled in the art will understand that the above examples are for illustration only and are not intended to limit the scope of the present invention. Those skilled in the art will understand that the above embodiments may be modified or some technical features may be replaced with equivalents without departing from the scope and spirit of the present invention. The scope of the present invention is defined by the appended claims.

Claims

1. A method for interactive analysis of tumor etiology, characterized in that: The following steps are involved: The acquisition step involves obtaining information data of tumor patients through human-computer interaction, including evolutionary data based on CIN expression; a comparison step, comparing the information data of the tumor patient with the environmental influencing factors pre-stored in the comparison database, and matching the corresponding multiple environmental influencing factors; A calculation step, calculating weights based on the matched multiple environmental influencing factors; Intervention step: provide intervention plans for cancer patients based on the calculated weights.

2. The method for interactive analysis of tumor etiology according to claim 1, characterized in that: The information data of cancer patients also includes: disease type, system category, genetic factors, psychological factors, dietary factors, behavioral factors, environmental factors, growth factors, social factors, and medical factors.

3. The method for interactive analysis of tumor etiology according to claim 1, wherein: Evolutionary data is defensive evolution or adaptive evolution.

4. The method for interactive analysis of tumor etiology according to claim 1, wherein: The methods of human-computer interaction include: scenario reproduction, question and answer, multiple-choice questions, and consultation with surrounding people.

5. The method for interactive analysis of tumor etiology according to claim 1, wherein: Based on machine learning, the environmental influencing factors stored in the comparison database are dynamically adjusted.

6. The method for interactive analysis of tumor etiology according to claim 1, wherein: In the comparison step, three environmental influencing factors are matched, and in the calculation step, weights of the three environmental influencing factors are calculated.

7. A device for interactive analysis of tumor etiology, characterized in that: include: The acquisition module acquires information data of tumor patients through human-computer interaction, including evolutionary data based on CIN expression; The comparison module compares the information data of the tumor patient with the environmental influencing factors pre-stored in the comparison database, and matches the corresponding multiple environmental influencing factors; A calculation module calculates weights based on multiple matched environmental influencing factors; The intervention module provides intervention plans for cancer patients based on the calculated weights.

8. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the tumor etiology interactive analysis method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the tumor etiology interactive analysis method according to any one of claims 1 to 6 are implemented.

10. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the tumor etiology interactive analysis method according to any one of claims 1 to 6 are implemented.

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