CN112932438A - Ovarian and cervical cancer postoperative cancer cell monitor based on big data and use method thereof - Google Patents

Abstract

The invention discloses a big data-based ovarian and cervical cancer postoperative cancer cell monitor, which relates to the technical field of ovarian and cervical cancer postoperative cancer cell monitors and comprises a data acquisition module, a microprocessor, a data analysis module, a data interpretation module, a data accumulation module and a result display module; the invention also provides a using method of the ovarian and cervical cancer postoperative cancer cell monitor based on big data, which comprises the following steps: firstly, a cancer cell monitor after ovarian cancer and cervical cancer operations is started. According to the invention, based on the big data ovary and cervix spectra, the detected spectra are contrastively analyzed and subjected to fitting operation, the disease state and the pathological change trend of a patient can be efficiently, quickly and accurately obtained, the time for obtaining the analysis result is shortened, and then the analysis and interpretation of the diagnosis result and the etiology and pathology can be instantly transmitted to a report platform for viewing through a result display module.

Description

Ovarian and cervical cancer postoperative cancer cell monitor based on big data and use method thereof

Technical Field

The invention relates to the technical field of a cancer cell monitor used after an ovarian and cervical cancer operation, in particular to a cancer cell monitor used after an ovarian and cervical cancer operation and based on big data and a using method thereof.

Background

Cervical cancer and ovarian cancer are one of the common malignant tumors of female reproductive organs, the incidence rate is second to cervical cancer and uterine corpus cancer, the epithelial cancer is most common in ovarian malignant tumors, and malignant germ cell tumors are formed in the second place, so that the survival rate of patients is low, the cancer cells need to be monitored after the operation of the ovarian cancer and the cervical cancer, and the disease state and the pathological change trend of the patients are mastered.

The existing monitoring results of the cancer cells need to be analyzed by doctors, the analysis speed is low due to the fact that the pathological changes of the cancer cells are various, the doctor needs to analyze in combination with cases, the analysis result time is prolonged, in addition, the combination cases are updated after a long time, and new pathological change situations and response measures of the cancer cells cannot be mastered in time, so that the problems need to be solved by designing a cancer cell monitor based on big data after the ovarian cancer and cervical cancer operation and a using method thereof.

Disclosure of Invention

The invention aims to solve the defects in the prior art, and provides a large-data-based ovarian and cervical cancer postoperative cancer cell monitor and a using method thereof.

In order to achieve the purpose, the invention adopts the following technical scheme:

the ovarian and cervical cancer postoperative cancer cell monitor based on big data comprises a data acquisition module, a microprocessor, a data analysis module, a data interpretation module, a data accumulation module and a result display module, wherein the data acquisition module consists of a special earphone, neurons, tissue cells of each organ and a cell microscopic level;

the data analysis module consists of ovary, cervix cell frequency spectrum, ovary, cervix reference frequency spectrum, analysis frequency spectrum trend, change trend and clinical definition;

the data interpretation module is composed of a mathematical statistics model, benchmark model fitting and clinical special prediction significance prediction;

the result display module consists of an image, voice, text and report platform;

the data accumulation module is composed of detection frequency spectrum data, statistical analysis data and a central database.

Preferably, the special earphone comprises a left earmuff and a right earmuff, the special earphone is electrically connected with the microprocessor through a wire, micro equipment such as an electromagnetic inductor, a voltage generator, a differential amplifier and a resonator are arranged in the special earphone, the established mathematical statistical model is an autoregressive prediction statistical model, reference frequency spectrums of the ovary and the cervix are reference frequency spectrums in the central database, the detected frequency spectrum data are cell frequency spectrum data obtained by detection, and the statistical analysis data are case data obtained by statistical analysis.

Preferably, the microprocessor executes an analysis program of the internal analysis system, including the steps of:

establishing an ovary and cervix pathology model which comprises two ways of triggering the ovary, wherein the first way is an organism factor, the second way is a genetic factor,

the first body factor is that the incidence rate of ovarian cancer in early menstrual tide, postmenopausal night and unproductive women is high, the delivery frequency is high, the incidence risk of women who suckle and take contraceptive is reduced, ovarian epithelial cell damage is caused by ovulation, repeated damage and canceration are promoted in the repair process,

the second genetic factor is that autosomal dominant inheritance plays an important role in the development of ovarian cancer,

establishing an ovary mathematical model, generating the ovary mathematical model based on the ovary pathological model, analyzing collected pathological data of the ovary and dividing the pathological data into 4 types according to different severity degrees: benign tumors, malignant tumors, functional ovarian tumors, other tumors, wherein,

(1) for benign tumor, the smaller mass generally does not produce symptoms, occasionally has the feeling of sinking and falling or pain in the abdomen at the affected side, can clearly touch the abdominal lump, has smooth surface, no tenderness and cystic feeling. Most benign tumors form a long pedicle with the fallopian tube,

(2) malignant tumor, rapid growth, irregular mass, no mobility, ascites, general symptoms such as asthenia, fever, inappetence, etc. in a short time,

(3) functional ovarian tumors, such as granulosa cell tumors, can cause symptoms of precocious puberty due to the production of large amounts of estrogen,

(4) other tumors, middle-sized and long-pedicel ovarian mass can cause torsion of tumor body and pedicel, once twisted, bleeding and necrosis can occur, clinically manifested as acute abdomen with abdominal pain, nausea or vomiting, when large tumor, pressing adjacent organs can cause difficulty in urination and defecation,

establishing pathological model of ovary and cervix, including seven ways of inducing cervix, the first is sexual behavior, the second is menstruation and parturition factor, the third is sexually transmitted disease, the fourth is smoking, the fifth is long-term taking oral contraceptive, the sixth is immunodeficiency and inhibition, the seventh is other virus infection,

the first is sexual behavior, premature sexual behavior or excessive sexual partners, the second is menstruation and childbirth factors, hygiene is unnoticed in menstrual period, menstrual period is prolonged frequently, marriage is early, breeding is early, prolificacy is high, the third is sexually transmitted diseases, long-term stimulation of cervical inflammation caused by venereal diseases is realized, the fourth is smoking, the multi-chain aromatic hydrocarbon compounds and nitrosamine in tobacco can cause oncogene activation and oncogene inactivation through multiple mechanisms, the HPV infection probability is increased, the risk of cervical cancer, particularly squamous carcinoma is increased, the fifth is taking oral contraceptive for a long time, the risk of inducing cervical cancer, particularly adenocarcinoma is increased by two times after taking oral contraceptive for more than 8 years, the sixth is immunodeficiency and inhibition, the organism immunity is reduced and is deficient due to HIV infection, the incidence of cervical cancer is increased due to taking immunosuppressive drugs for a long time after organ transplantation, and the seventh is infected by other viruses, herpes virus type II and the like induce cervical cancer,

establishing a cervical mathematical model, generating the cervical mathematical model based on the cervical pathological model, analyzing the collected cervical pathological data and dividing the pathological data into 4 types according to different severity degrees: stage I, stage II, stage III and stage IV, wherein,

(1) stage I refers to the localization of the cancer focus to the cervix,

(2) II means that the focus of the cancer exceeds the cervix, but the vaginal infiltration does not reach 1/3, the parauterine infiltration does not reach the pelvic wall,

(3) stage III refers to those with focus beyond cervix, vaginal infiltration reaching 1/3, peri-uterine infiltration reaching the pelvic wall, hydronephrosis or no renal function,

(4) stage IV refers to the spread of the cancer beyond the true pelvis or to adjacent organs such as infiltrating the bladder or rectal mucosa.

The invention also provides a using method of the ovarian and cervical cancer postoperative cancer cell monitor based on big data, which comprises the following steps:

firstly, starting a cancer cell monitor after ovarian and cervical cancer operations, debugging the monitor to ensure the monitor to work normally, and wearing a special earphone on the head of a patient;

secondly, an electromagnetic reactor and an electromagnetic inductor in the special earphone are started, the electromagnetic reactor of a left earmuff of the special earphone emits electromagnetic waves to form a magnetic field, the magnetic field reaches the cerebral cortex of a patient, a magnetic field is generated through electromagnetic resonance and acts on neurons, the magnetic field is influenced by an external electromagnetic field, molecular current magnetic moments lose the original direction at the mixed center of nerve cells of the cerebral cortex, the dislocation of a delocalized electron spinning structure is caused, unstable metastable states are caused in the magnetic field, the states are decomposed into initial signals, the electromagnetic inductor of a right earmuff can capture weak spectrum signal amplitude from the common disordered noise environment of a field, the weak spectrum signal amplitude can be converted into a related digital sequence through a microprocessor, and then the related digital sequence is transmitted to the microprocessor in a computer through an interface cable;

thirdly, the data analysis module receives the resonance electromagnetic signal obtained by the data acquisition module, the microprocessor performs noise reduction, decoding and conversion on the resonance electromagnetic signal and displays an organ virtual model marked with a specific color on a computer screen, a static state which corresponds to a certain potential entropy value and interacts with a related electromagnetic radiation spectrum can be selected by utilizing more accurate theoretical calculation completed by a computer, the computer model can provide three-dimensional projection of internal organs required by doctors to the doctors, the color marks on pictures enable the doctors to determine the position of lesion on the organ model, how the decay process of the biological structure is performed can be judged by comparing the range of the marked color, the distribution of the marked color on the organ computer model and the dynamic state of the marked color, the distribution of the marked color and the distribution of the marked color on the organ computer model, the health condition is predicted, and in order to determine the lesion area, the doctors continue to reduce the range continuously, studying the single organ model displayed on the computer screen until the focus of the lesion is accurately positioned;

fourthly, the data interpretation module establishes a mathematical statistic model of autoregressive prediction based on overall associated medical logics including the mutual relation between organic unified natural cognitive symptoms and pathology and the mutual relation between organ tissues, the data interpretation module carries out fitting operation on the detected cell spectrum characteristics and the model and carries out entropy analysis in a 'reference catalogue' mode, the entropy binary analysis can establish a mathematical model of a pathological process, healthy tissues serve as an initial stage, pathological changes with obvious clinical characteristics serve as a final stage, and mathematical calculation is carried out on graphs of a plurality of intermediate states, and in the analysis process, any intermediate state or extreme state can be determined, the situation with the highest spectrum similarity is obtained, so that the maturity of the pathological changes and the pathological signs before clinical are determined;

fifthly, the result display module instantly transmits the diagnosis result and the analysis and interpretation of the etiology and pathology under clinical definition to a report platform including a mobile phone terminal and a computer webpage for viewing, wherein the report platform is in a form of combining images, characters and voice, detection organ tissues and focus parts are marked by the images, the pathology is annotated by the characters, and the characters are further interpreted by artificially synthesized voice;

and sixthly, the data accumulation module transmits the detected cell spectrum data and the case data obtained by statistical analysis to a central database for synchronous updating, and the central database sorts the cases.

The invention has the following beneficial effects:

1. the device is provided with a special earphone and a microprocessor, the earphone emits electromagnetic waves and captures cell resonance electromagnetic signals, the processor compares and analyzes the frequency spectrum with the ovary and cervix uteri of the reference frequency spectrum in the networked central database, and converts the statistical analysis result into a clinically defined disease state and lesion trend, so that the disease state and lesion trend of a patient can be efficiently, quickly and accurately obtained, and the time for obtaining the analysis result is shortened;

2. the device is provided with a structure display module, and the diagnosis result and the analysis and interpretation of the etiology and pathology under clinical definition can detect organ tissues and focus parts by image identification, annotate the pathology with characters and interpret by voice, so that doctors and patients can clearly know disease states and pathological change trends.

Drawings

FIG. 1 is a block diagram of a big data-based cancer cell monitor used after ovarian and cervical cancer surgery;

fig. 2 is a diagram of the progression of cervical pathology according to the present invention;

FIG. 3 is a graph showing the progression of ovarian pathology according to the present invention;

fig. 4 is a schematic circuit diagram of the cancer cell monitor based on big data after ovarian and cervical cancer operation.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.

In the description of the present invention, it is to be understood that the terms "upper", "lower", "front", "rear", "left", "right", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention.

Referring to fig. 1-4, the ovarian and cervical cancer postoperative cancer cell monitor based on big data comprises a data acquisition module, a microprocessor, a data analysis module, a data interpretation module, a data accumulation module and a result display module, wherein the data acquisition module consists of a special earphone, neurons, tissue cells of each organ and a cell microscopic level;

the data analysis module consists of ovary, cervix cell frequency spectrum, ovary and cervix reference frequency spectrum, analysis frequency spectrum trend, change trend and clinical definition;

the data interpretation module is composed of a mathematical statistics model, benchmark model fitting and clinical special significance prediction;

the result display module consists of an image, voice, text and report platform;

the data accumulation module consists of detection frequency spectrum data, statistical analysis data and a central database.

The special earphone comprises a left earmuff and a right earmuff, the special earphone is electrically connected with the microprocessor through a lead, micro equipment such as an electromagnetic inductor, a voltage generator, a differential amplifier and a resonator are arranged in the special earphone, a mathematical statistic model is established to be an autoregressive prediction statistic model, ovary and cervix reference frequency spectrums are reference frequency spectrums in a central database, detected frequency spectrum data are cell frequency spectrum data obtained by detection, and statistical analysis data are case data obtained by statistical analysis.

The microprocessor executes an analysis program of the internal analysis system, and comprises the following steps:

establishing an ovary and cervix pathology model which comprises two ways of triggering the ovary, wherein the first way is an organism factor, the second way is a genetic factor,

the first body factor is that the incidence rate of ovarian cancer in early menstrual tide, postmenopausal night and unproductive women is high, the delivery frequency is high, the incidence risk of women who suckle and take contraceptive is reduced, ovarian epithelial cell damage is caused by ovulation, repeated damage and canceration are promoted in the repair process,

the second genetic factor is that autosomal dominant inheritance plays an important role in the development of ovarian cancer,

establishing an ovary mathematical model, generating the ovary mathematical model based on the ovary pathological model, analyzing collected pathological data of the ovary and dividing the pathological data into 4 types according to different severity degrees: benign tumors, malignant tumors, functional ovarian tumors, other tumors, wherein,

(1) for benign tumor, the smaller mass generally does not produce symptoms, occasionally has the feeling of sinking and falling or pain in the abdomen at the affected side, can clearly touch the abdominal lump, has smooth surface, no tenderness and cystic feeling. Most benign tumors form a long pedicle with the fallopian tube,

(2) malignant tumor, rapid growth, irregular mass, no mobility, ascites, general symptoms such as asthenia, fever, inappetence, etc. in a short time,

(3) functional ovarian tumors, such as granulosa cell tumors, can cause symptoms of precocious puberty due to the production of large amounts of estrogen,

(4) other tumors, middle-sized and long-pedicel ovarian mass can cause torsion of tumor body and pedicel, once twisted, bleeding and necrosis can occur, clinically manifested as acute abdomen with abdominal pain, nausea or vomiting, when large tumor, pressing adjacent organs can cause difficulty in urination and defecation,

establishing pathological model of ovary and cervix, including seven ways of inducing cervix, the first is sexual behavior, the second is menstruation and parturition factor, the third is sexually transmitted disease, the fourth is smoking, the fifth is long-term taking oral contraceptive, the sixth is immunodeficiency and inhibition, the seventh is other virus infection,

the first is sexual behavior, premature sexual behavior or excessive sexual partners, the second is menstruation and childbirth factors, hygiene is unnoticed in menstrual period, menstrual period is prolonged frequently, marriage is early, breeding is early, prolificacy is high, the third is sexually transmitted diseases, long-term stimulation of cervical inflammation caused by venereal diseases is realized, the fourth is smoking, the multi-chain aromatic hydrocarbon compounds and nitrosamine in tobacco can cause oncogene activation and oncogene inactivation through multiple mechanisms, the HPV infection probability is increased, the risk of cervical cancer, particularly squamous carcinoma is increased, the fifth is taking oral contraceptive for a long time, the risk of inducing cervical cancer, particularly adenocarcinoma is increased by two times after taking oral contraceptive for more than 8 years, the sixth is immunodeficiency and inhibition, the organism immunity is reduced and is deficient due to HIV infection, the incidence of cervical cancer is increased due to taking immunosuppressive drugs for a long time after organ transplantation, and the seventh is infected by other viruses, herpes virus type II and the like induce cervical cancer,

establishing a cervical mathematical model, generating the cervical mathematical model based on the cervical pathological model, analyzing the collected cervical pathological data and dividing the pathological data into 4 types according to different severity degrees: stage I, stage II, stage III and stage IV, wherein,

(1) stage I refers to the localization of the cancer focus to the cervix,

(2) II means that the focus of the cancer exceeds the cervix, but the vaginal infiltration does not reach 1/3, the parauterine infiltration does not reach the pelvic wall,

(3) stage III refers to those with focus beyond cervix, vaginal infiltration reaching 1/3, peri-uterine infiltration reaching the pelvic wall, hydronephrosis or no renal function,

(4) stage IV refers to the spread of the cancer beyond the true pelvis or to adjacent organs such as infiltrating the bladder or rectal mucosa.

The invention also provides a using method of the ovarian and cervical cancer postoperative cancer cell monitor based on big data, which comprises the following steps:

firstly, starting a cancer cell monitor after ovarian and cervical cancer operations, debugging the monitor to ensure the monitor to work normally, and wearing a special earphone on the head of a patient;

secondly, an electromagnetic reactor and an electromagnetic inductor in the special earphone are started, the electromagnetic reactor of a left earmuff of the special earphone emits electromagnetic waves to form a magnetic field, the magnetic field reaches the cerebral cortex of a patient, a magnetic field is generated through electromagnetic resonance and acts on neurons, the magnetic field is influenced by an external electromagnetic field, molecular current magnetic moments lose the original direction at the mixed center of nerve cells of the cerebral cortex, the dislocation of a delocalized electron spinning structure is caused, unstable metastable states are caused in the magnetic field, the states are decomposed into initial signals, the electromagnetic inductor of a right earmuff can capture weak spectrum signal amplitude from the common disordered noise environment of a field, the weak spectrum signal amplitude can be converted into a related digital sequence through a microprocessor, and then the related digital sequence is transmitted to the microprocessor in a computer through an interface cable;

thirdly, the data analysis module receives the resonance electromagnetic signal obtained by the data acquisition module, the microprocessor performs noise reduction, decoding and conversion on the resonance electromagnetic signal and displays an organ virtual model marked with a specific color on a computer screen, a static state which corresponds to a certain potential entropy value and interacts with a related electromagnetic radiation spectrum can be selected by utilizing more accurate theoretical calculation completed by a computer, the computer model can provide three-dimensional projection of internal organs required by doctors to the doctors, the color marks on pictures enable the doctors to determine the position of lesion on the organ model, how the decay process of the biological structure is performed can be judged by comparing the range of the marked color, the distribution of the marked color on the organ computer model and the dynamic state of the marked color, the distribution of the marked color and the distribution of the marked color on the organ computer model, the health condition is predicted, and in order to determine the lesion area, the doctors continue to reduce the range continuously, studying the single organ model displayed on the computer screen until the focus of the lesion is accurately positioned;

fourthly, the data interpretation module establishes a mathematical statistic model of autoregressive prediction based on overall associated medical logics including the mutual relation between organic unified natural cognitive symptoms and pathology and the mutual relation between organ tissues, the data interpretation module carries out fitting operation on the detected cell spectrum characteristics and the model and carries out entropy analysis in a 'reference catalogue' mode, the entropy binary analysis can establish a mathematical model of a pathological process, healthy tissues serve as an initial stage, pathological changes with obvious clinical characteristics serve as a final stage, and mathematical calculation is carried out on graphs of a plurality of intermediate states, and in the analysis process, any intermediate state or extreme state can be determined, the situation with the highest spectrum similarity is obtained, so that the maturity of the pathological changes and the pathological signs before clinical are determined;

fifthly, the result display module instantly transmits the diagnosis result and the analysis and interpretation of the etiology and pathology under clinical definition to a report platform including a mobile phone terminal and a computer webpage for viewing, wherein the report platform is in a form of combining images, characters and voice, detection organ tissues and focus parts are marked by the images, the pathology is annotated by the characters, and the characters are further interpreted by artificially synthesized voice;

and sixthly, the data accumulation module transmits the detected cell spectrum data and the case data obtained by statistical analysis to a central database for synchronous updating, and the central database sorts the cases.

The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be able to cover the technical scope of the present invention and the equivalent alternatives or modifications according to the technical solution and the inventive concept of the present invention within the technical scope of the present invention.

Claims (4)

1. The ovarian and cervical cancer postoperative cancer cell monitor based on big data comprises a data acquisition module, a microprocessor, a data analysis module, a data interpretation module, a data accumulation module and a result display module, and is characterized in that the data acquisition module consists of a special earphone, neurons, tissue cells of each organ and a cell microscopic level;

the data analysis module consists of ovary, cervix cell frequency spectrum, ovary, cervix reference frequency spectrum, analysis frequency spectrum trend, change trend and clinical definition;

the data interpretation module is composed of a mathematical statistics model, benchmark model fitting and clinical special prediction significance prediction;

the result display module consists of an image, voice, text and report platform;

the data accumulation module is composed of detection frequency spectrum data, statistical analysis data and a central database.

2. The big data based ovarian and cervical cancer postoperative cancer cell monitor according to claim 1, wherein the special earphone comprises a left ear cup and a right ear cup, the special earphone is electrically connected with the microprocessor through a wire, micro devices such as an electromagnetic inductor, a voltage generator, a differential amplifier, a resonator and the like are arranged in the special earphone, the established mathematical statistic model is an autoregressive prediction statistic model, the ovarian and cervical reference frequency spectrum is a reference frequency spectrum in the central database, the detected frequency spectrum data is detected cell frequency spectrum data, and the statistic analysis data is case data obtained by statistic analysis.

3. The post-operative cancer cell monitor for ovarian and cervical cancer based on overall associative medical logic according to claim 1, wherein the microprocessor executes the analysis program of the internal analysis system, comprising the steps of:

establishing an ovary and cervix pathology model which comprises two ways of triggering the ovary, wherein the first way is an organism factor, the second way is a genetic factor,

the first body factor is that the incidence rate of ovarian cancer in early menstrual tide, postmenopausal night and unproductive women is high, the delivery frequency is high, the incidence risk of women who suckle and take contraceptive is reduced, ovarian epithelial cell damage is caused by ovulation, repeated damage and canceration are promoted in the repair process,

the second genetic factor is that autosomal dominant inheritance plays an important role in the development of ovarian cancer,

establishing an ovary mathematical model, generating the ovary mathematical model based on the ovary pathological model, analyzing collected pathological data of the ovary and dividing the pathological data into 4 types according to different severity degrees: benign tumors, malignant tumors, functional ovarian tumors, other tumors, wherein,

(1) for benign tumor, the smaller mass generally does not produce symptoms, occasionally has the feeling of sinking and falling or pain in the abdomen at the affected side, can clearly touch the abdominal lump, has smooth surface, no tenderness and cystic feeling. Most benign tumors form a long pedicle with the fallopian tube,

(2) malignant tumor, rapid growth, irregular mass, no mobility, ascites, general symptoms such as asthenia, fever, inappetence, etc. in a short time,

(3) functional ovarian tumors, such as granulosa cell tumors, can cause symptoms of precocious puberty due to the production of large amounts of estrogen,

(4) other tumors, middle-sized and long-pedicel ovarian mass can cause torsion of tumor body and pedicel, once twisted, bleeding and necrosis can occur, clinically manifested as acute abdomen with abdominal pain, nausea or vomiting, when large tumor, pressing adjacent organs can cause difficulty in urination and defecation,

establishing pathological model of ovary and cervix, including seven ways of inducing cervix, the first is sexual behavior, the second is menstruation and parturition factor, the third is sexually transmitted disease, the fourth is smoking, the fifth is long-term taking oral contraceptive, the sixth is immunodeficiency and inhibition, the seventh is other virus infection,

the first is sexual behavior, premature sexual behavior or excessive sexual partners, the second is menstruation and childbirth factors, hygiene is unnoticed in menstrual period, menstrual period is prolonged frequently, marriage is early, breeding is early, prolificacy is high, the third is sexually transmitted diseases, long-term stimulation of cervical inflammation caused by venereal diseases is realized, the fourth is smoking, the multi-chain aromatic hydrocarbon compounds and nitrosamine in tobacco can cause oncogene activation and oncogene inactivation through multiple mechanisms, the HPV infection probability is increased, the risk of cervical cancer, particularly squamous carcinoma is increased, the fifth is taking oral contraceptive for a long time, the risk of inducing cervical cancer, particularly adenocarcinoma is increased by two times after taking oral contraceptive for more than 8 years, the sixth is immunodeficiency and inhibition, the organism immunity is reduced and is deficient due to HIV infection, the incidence of cervical cancer is increased due to taking immunosuppressive drugs for a long time after organ transplantation, and the seventh is infected by other viruses, herpes virus type II and the like induce cervical cancer,

establishing a cervical mathematical model, generating the cervical mathematical model based on the cervical pathological model, analyzing the collected cervical pathological data and dividing the pathological data into 4 types according to different severity degrees: stage I, stage II, stage III and stage IV, wherein,

(1) stage I refers to the localization of the cancer focus to the cervix,

(2) II means that the focus of the cancer exceeds the cervix, but the vaginal infiltration does not reach 1/3, the parauterine infiltration does not reach the pelvic wall,

(3) stage III refers to those with focus beyond cervix, vaginal infiltration reaching 1/3, peri-uterine infiltration reaching the pelvic wall, hydronephrosis or no renal function,

(4) stage IV refers to the spread of the cancer beyond the true pelvis or to adjacent organs such as infiltrating the bladder or rectal mucosa.

4. The use method of the ovarian and cervical cancer postoperative cancer cell monitor based on big data is characterized by comprising the following steps:

firstly, starting a cancer cell monitor after ovarian and cervical cancer operations, debugging the monitor to ensure the monitor to work normally, and wearing a special earphone on the head of a patient;

secondly, an electromagnetic reactor and an electromagnetic inductor in the special earphone are started, the electromagnetic reactor of a left earmuff of the special earphone emits electromagnetic waves to form a magnetic field, the magnetic field reaches the cerebral cortex of a patient, a magnetic field is generated through electromagnetic resonance and acts on neurons, the magnetic field is influenced by an external electromagnetic field, molecular current magnetic moments lose the original direction at the mixed center of nerve cells of the cerebral cortex, the dislocation of a delocalized electron spinning structure is caused, unstable metastable states are caused in the magnetic field, the states are decomposed into initial signals, the electromagnetic inductor of a right earmuff can capture weak spectrum signal amplitude from the common disordered noise environment of a field, the weak spectrum signal amplitude can be converted into a related digital sequence through a microprocessor, and then the related digital sequence is transmitted to the microprocessor in a computer through an interface cable;

thirdly, the data analysis module receives the resonance electromagnetic signal obtained by the data acquisition module, the microprocessor performs noise reduction, decoding and conversion on the resonance electromagnetic signal and displays an organ virtual model marked with a specific color on a computer screen, a static state which corresponds to a certain potential entropy value and interacts with a related electromagnetic radiation spectrum can be selected by utilizing more accurate theoretical calculation completed by a computer, the computer model can provide three-dimensional projection of internal organs required by doctors to the doctors, the color marks on pictures enable the doctors to determine the position of lesion on the organ model, how the decay process of the biological structure is performed can be judged by comparing the range of the marked color, the distribution of the marked color on the organ computer model and the dynamic state of the marked color, the distribution of the marked color and the distribution of the marked color on the organ computer model, the health condition is predicted, and in order to determine the lesion area, the doctors continue to reduce the range continuously, studying the single organ model displayed on the computer screen until the focus of the lesion is accurately positioned;

fourthly, the data interpretation module establishes a mathematical statistic model of autoregressive prediction based on overall associated medical logics including the mutual relation between organic unified natural cognitive symptoms and pathology and the mutual relation between organ tissues, the data interpretation module carries out fitting operation on the detected cell spectrum characteristics and the model and carries out entropy analysis in a 'reference catalogue' mode, the entropy binary analysis can establish a mathematical model of a pathological process, healthy tissues serve as an initial stage, pathological changes with obvious clinical characteristics serve as a final stage, and mathematical calculation is carried out on graphs of a plurality of intermediate states, and in the analysis process, any intermediate state or extreme state can be determined, the situation with the highest spectrum similarity is obtained, so that the maturity of the pathological changes and the pathological signs before clinical are determined;

fifthly, the result display module instantly transmits the diagnosis result and the analysis and interpretation of the etiology and pathology under clinical definition to a report platform including a mobile phone terminal and a computer webpage for viewing, wherein the report platform is in a form of combining images, characters and voice, detection organ tissues and focus parts are marked by the images, the pathology is annotated by the characters, and the characters are further interpreted by artificially synthesized voice;

and sixthly, the data accumulation module transmits the detected cell spectrum data and the case data obtained by statistical analysis to a central database for synchronous updating, and the central database sorts the cases.

Images