CN109585022A - A kind of equipment and system for cancer risk assessment - Google Patents
A kind of equipment and system for cancer risk assessment Download PDFInfo
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- CN109585022A CN109585022A CN201811392369.6A CN201811392369A CN109585022A CN 109585022 A CN109585022 A CN 109585022A CN 201811392369 A CN201811392369 A CN 201811392369A CN 109585022 A CN109585022 A CN 109585022A
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- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
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- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
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Abstract
This application discloses a kind of equipment and system for cancer risk assessment.It wherein, include: input unit for the equipment of cancer risk assessment, for receiving the information of user's input；Output device is used for user's output information；Processor；And memory, it is connected to the processor, for providing the instruction for handling following processing step for the processor: receiving the parameter of the risk of cancer coefficient for assessing assessment object from input unit；The risk of cancer coefficient of assessment object is calculated according to the parameter of the input using the computation model based on structural equation model；And the risk of cancer coefficient of the assessment object is exported by the output device.
Description
Technical field
This application involves medical field, more particularly to a kind of equipment and system for cancer risk assessment.
Background technique
Cancer is to threaten the major disease of human life and health, therefore the early diagnosis and prophylactic treatment of cancer are got over
More to cause the concern of society.
There are extensive menaces for cancer, therefore the early diagnosis opportunity of cancer is particularly important.It is existing state-of-the-art
PET-CT technology can be found that the tumour cell of early stage > 2mm.But there are also another critical defects by PET-CT --- it can not find
Radioactive fluorodeoxyglucose (FDG) cancer cell cannot be assembled, or have accumulated FDG normal cell it is Chong Die with cancer cell,
It can draw the wrong conclusion in this way.In addition there are carcinogenic risks for the scanning of PET-CT.So in the cancer cell for having been found that 2mm
(109Cell number), for the concept or Shortcomings of extreme early prevention, and for not yet suffering from cancer but having had cancer high
The patient for risk of endangering, can not accomplish to prejudge in advance.
For the above-mentioned Cancerous disease existing in the prior art that cannot be diagnosed to be patient as early as possible and cannot be to patient
Risk of cancer the technical issues of being prejudged, currently no effective solution has been proposed.
Summary of the invention
Embodiment of the disclosure provides a kind of equipment and system for cancer risk assessment, at least to solve existing skill
The Cancerous disease existing in the prior art that patient cannot be diagnosed to be as early as possible present in art and cannot cancer wind to patient
The technical issues of danger is prejudged.
According to the one aspect of the embodiment of the present disclosure, a kind of equipment for cancer risk assessment is provided, comprising: input
Device, for receiving the information of user's input；Output device is used for user's output information；Processor；And memory, with
The processor connection, for providing the instruction for handling following processing step for the processor: being used for from input unit reception
The parameter of the risk of cancer coefficient of assessment assessment object；Using the computation model based on structural equation model, according to the input
Parameter, calculate assessment object risk of cancer coefficient；And the cancer of the assessment object is exported by the output device
Risk factor.
According to the another aspect of the embodiment of the present disclosure, a kind of system for cancer risk assessment, including end are additionally provided
End equipment and server.The terminal equipment configuration is used to receive the risk of cancer system for being used to assess assessment object of user's input
Several parameters, and the parameter is sent to the server.And the server is configured to carry out following operation: from institute
It states terminal device and receives the parameter；It is calculated using the computation model based on structural equation model according to the parameter of the input
Assess the risk of cancer coefficient of object；And the risk of cancer coefficient of the assessment object is sent to the terminal device.
In the embodiments of the present disclosure, by the computation model based on structural equation model, the parameter of input is calculated,
So that it is determined that cancer Shared coefficient, has achieved the purpose that this morning makes a definite diagnosis Cancerous disease and in advance assessment risk of cancer, and then solve
Having determined the Cancerous disease existing in the prior art that cannot be diagnosed to be patient as early as possible and cannot carry out the risk of cancer of patient
The technical issues of anticipation.
Detailed description of the invention
Attached drawing described herein is used to provide further understanding of the disclosure, constitutes part of this application, this public affairs
The illustrative embodiments and their description opened do not constitute the improper restriction to the disclosure for explaining the disclosure.In the accompanying drawings:
Fig. 1 is the schematic diagram according to the embodiment of the present disclosure 1 for the equipment of cancer risk assessment；
Fig. 2 is the schematic diagram according to the embodiment of the present disclosure 2 for the system of cancer risk assessment；And
Fig. 3 is the schematic diagram of the structural equation model according to the embodiment of the present disclosure.
Specific embodiment
In order to make those skilled in the art more fully understand the technical solution of the disclosure, implement below in conjunction with the disclosure
Attached drawing in example, carries out the technical solution in the embodiment of the present disclosure clear；It is fully described by.Obviously, described embodiment
The only embodiment of disclosure a part, instead of all the embodiments.Based on the embodiment in the disclosure, this field is common
Disclosure protection all should belong in technical staff's every other embodiment obtained without making creative work
Range.
It should be noted that the term " first " in the specification and claims of the disclosure and above-mentioned attached drawing；" the
Two " etc. be to be used to distinguish similar objects, without being used to describe a particular order or precedence order.It should be understood that using in this way
Data be interchangeable under appropriate circumstances, so as to embodiment of the disclosure described herein can in addition to illustrating herein or
Sequence other than those of description is implemented.In addition, term " includes " and " having " and their any deformation, it is intended that cover
Cover it is non-exclusive include, for example, containing the process of a series of steps or units；Method；System；Product or equipment are not necessarily limited to
Step or unit those of is clearly listed, but may include be not clearly listed or for these processes；Method；Product
Or other step or units that equipment is intrinsic.
Embodiment 1
Fig. 1 shows the schematic diagram according to the present embodiment for the equipment 100 of cancer risk assessment.With reference to Fig. 1
Shown, which includes: input unit 110, for receiving the information of user's input；Output device 120 is used for user
Output information；Processor 130；And memory 140, be connected to the processor, for for the processor provide processing with
The instruction of lower processing step: the parameter of the risk of cancer coefficient for assessing assessment object is received from input unit 110；Utilize base
The risk of cancer coefficient of assessment object is calculated according to the parameter of the input in the computation model of structural equation model；And it is logical
Cross the risk of cancer coefficient that the output device 120 exports the assessment object.
As also mentioned previously, existing PET-CT medical technology has often been sent out when patient diagnosed suffers from cancer
Existing body forms tumour, is not able to satisfy the tumour early warning concept of extreme early, has risk of cancer for not yet suffering from cancer
Patient can not accomplish to prejudge in advance.
In view of this, the present embodiment is proposed using the computation model based on structural equation model, according to being used for for input
The parameter of cancer risk assessment is carried out, the equipment for calculating the risk of cancer coefficient of assessment object.
Structural equation model is a kind of very versatile, main linear statistical modeling technique.Structural equation model is benefit
It is solved with Simultaneous Equations, it allows independent variable and dependent variable to there is measurement and miss without very stringent hypothesis restrictive condition
Difference.Therefore equation of structure analysis can handle multiple dependent variables simultaneously, and may compare and evaluate different theoretical models.With it is traditional
Factor analysis exploratory is different, and in structural equation model, we can propose a specific factor structure, and examines it to be
No identical data.
To which the present embodiment analyzes multiple parameters using structural equation model, so as to relatively accurately pre-
The risk of cancer coefficient of object is estimated in assessment.Solves the cancer disease existing in the prior art that cannot be diagnosed to be assessment object as early as possible
Disease and cannot to assessment object risk of cancer prejudge the technical issues of.
Optionally, the parameter of the input includes the parameter sets being made of following 7 subset of parameters, wherein
First subset of parameters includes at least one parameter in following parameter: the regularity of sleep；The regularity of work；
The regularity of diet；Laws of motion；And the regularity of defecation,
Second subset of parameters includes at least one parameter in following parameter: emotional state；Pressure state；Anxiety shape
State；And depressive state,
Third subset of parameters includes at least one parameter in following parameter: sleep state；Time for falling asleep；Night wakes up
The problem of seriousness；Early awakening；Total sleep time；Total sleep quality；Daytime mood；Daytime body function；And daytime drowsiness
Situation,
4th subset of parameters includes at least one parameter in following parameter: body mass index；Defecation regularity；Stool property
Shape；Implication；Breakfast, lunch and dinner regularity；Food situation；Diet content；Smoking；It drinks；And drink tea,
5th subset of parameters includes at least one parameter in following parameter: aerobic exercise time；Move the cumulative time；
High-intensitive Exercise Frequency；Moderate strength Exercise Frequency；And low-intensity motion frequency,
6th subset of parameters includes assessing object to be related at least one drug factors, chemical factors or occupation as described below
Factor: unprocessed or slightly handle mineral oil；Aluminium production；2- naphthylamines；Neutron irradiation；Nickel compound；Cigarette drops in N'- nitroso
Alkali；4- (N- methyl nitrosamino group) -1- (3- pyridyl group) -1- butanone；Chinese style cured fish；Outdoor air pollution；Room containing particulate matter
Outer air pollution；Artist；Painter；Plasterer；3,4,5,3', 4'- pentachlorodiphenyl；2,3,4,7,8- pentachloro- dibenzofurans；
Pentachlorophenol；Phenaetin；Acrylamide；Adriamycin；The mixture of α-chlorinated toluenes and chlorobenzoyl chloride；Androgen；Steroids；
Art glass, glass container and pressed ware manufacture；Azacitidine；Urethanes；Diclofenac；Pitch；Oppose bacterium
It is red；Carbon electrode manufacture；Trichloroacetaldehyde；Chloraldurate；Chloramphenicol；1- (2- chloroethyl) -3- cyclohexyl -1- nitroso ureas；4- is chloro-
O- toluidines；Chloramphenicol；Cis-platinum；Cobalt metal containing tungsten carbide；Creasote；Cyclopenta [cd] pyrene；4,4'- dichloro two
Benzene trichloroethanes；Diazinon；Dibenzo [a, h] anthracene；Dibenzo [a, j] acridine；Dibenzo [a, l] pyrene；Methylene chloride；Dieldrite
With the metabolizable drinox for dieldrite；Dithyl sulfate；Dimethyl suflfate；Dimethylaminoethyl chloride；Dimethylformamide；It is more
Bromo biphenyl；Procarbazine hydrochloride；1,3- propane sultone；Tetrachloro-ethylene；Tetrafluoroethene；7,8- styrene oxide；Vinyl bromide；Fluorine
Ethylene；1,2- dimethylhydrazine；Epoxychloropropane；Biomass fuel；The indoor discharge of domestic fuel burning；Bromofume；It is fried；
Glycidol；Glyphosate；Hairdresser or hairdresser；The nitrate or nitrous acid taken under the conditions of leading to endogenous opiate like substance
Salt；Hydrazine；Indium phosphide；2- amino -3- methylimidazole [4,5-f] quinoline；Inorganic lead compound；Malathion；2- sulfydryl benzo
Thiazole；5-MOP；Methyl mesylate；N-ethyl-N-nitrosourea；6- nitrobiphenyl；Mustargen；1-nitropyrene；
2- nitrotoleune；N-methyl-N'-nitro-N-nitrosoguanidine；N-methyl-N-nitrosourea；N-Nitrosodiethylamine；N- nitrous
Base dimethylamine；Non- arsenic insecticide；Petroleum refining；Pioglitazone；Teniposide；Tetrabromobisphenol A；3,3 ', 4,4 '-tetrachloro azos
Benzene；1,2,3- trichloropropane；Tricresyl phosphate (2,3- dibromopropyl) ester；Reference is higher than 65 DEG C of awfully hot beverage；It is related to saving round the clock
Restrain the work in shifts upset；Silicon carbide whisker；And intake red meat；And
7th subset of parameters includes at least one parameter in the following parameter for reflect Degree of Depression and anxiety degree: suppression
Strongly fragrant mood；Guilty sense；Suicide；Difficulty falling asleep；Sleep is not deep；Early awakening；Work and interest；It is slow；It is intense；Anxiety；Body
Sexual anxiety；Gastrointestinal symptom；Constitutional symptom；Property symptom；Hypochondriasis；Weight loss；Insight；Anxious mood；It is nervous；Fear；It loses
It sleeps；Cognitive function；Depressive mood；Somatic anxiety；Sensory system symptom；Cardiovascular system symptoms；Respiratory symptoms；Stomach and intestine
Symptom of digestive tract；Reproduction, urinary system symptom；Automatic nervous system symptom；Performance when talking with people.
Wherein, the above parameter is related to life, psychology and work of user etc..That is, being mentioned according to embodiment
The equipment of confession can assess the cancer wind of user according to the design parameter of life, psychology and the work for being related to user etc.
Dangerous coefficient.To provide a kind of new angle and approach for predicting risk of cancer coefficient.
Also, in the specific implementation process, the above parameter can by inquiry questionnaire mode from user there obtain.Example
Such as, the specific example of questionnaire is appended in the subsequent annex of specification.
Specifically, Fig. 3 shows the schematic diagram of the computation model of structural equation model.The computation model is related to 4 variables,
That is the corresponding external latent variable ξ of independent variable x and independent variable x, dependent variable y and interior raw latent variable η corresponding with dependent variable y.
Wherein, external latent variable ξ is not influenced by other any variables, and only influence its dependent variable.And the change
Amount cannot be observed directly, can only be speculated according to the independent variable x of observation.
Interior raw latent variable η is the variable for being always subjected to the influence of at least one other variable.And the variable cannot be direct
Observation, can only be speculated according to the dependent variable y of observation.
To since subset of parameters recited above is than more fully covering each side involved in assessment risk of cancer
Face, therefore the present embodiment can be based on structural equation model to cancer wind using the above parameter as the input parameter of independent variable
Dangerous coefficient is counted.
Optionally, assessment object is calculated according to the parameter of the input using the computation model based on structural equation model
The operation of risk of cancer coefficient include:
Using the following calculation formula of the computation model, the risk of cancer coefficient of patient is calculated:
X=Λ x ξ+δ (1)
Y=Λ y η+ε (2)
η=B η+Г ξ+ζ (3)
Z=wTY (4),
Wherein, formula (1) and formula (2) are the equation of the observation model of the computation model, and formula (3) is the calculating
The equation of the structural model of model, and formula (1) is the equation for the observation model for independent variable, and formula (2) is needle
To the observation model of dependent variable, formula (4) is the equation for indicating the relationship between the risk of cancer coefficient and dependent variable, and
Wherein
X indicates that the parameter of the input as independent variable, ξ indicate that external latent variable corresponding with independent variable x, y indicate
Interior raw observational variable, η as dependent variable indicate that interior raw latent variable corresponding with dependent variable and z indicate risk of cancer coefficient,
And Λ x, Λ y, δ, ε, B, Г and ζ are respectively the parameter of respective linear equation, and w is weight vectors corresponding with y.
In the evaluation process of the risk factor of cancer, many factors for inducing cancer, such as psychology, occupation and life
The factors such as habit, are all difficult to directly accurately measure.This factor is known as latent variable (latent variable).Therefore only
Some outer aobvious indexs (observable indicators) can be used, go to measure these latent variables indirectly.Traditional statistical method is not
These latent variables can be effectively treated, and structural equation model can then handle latent variable and its index simultaneously.Therefore, the present embodiment
Technical solution assesses risk of cancer coefficient with structural equation model, can effectively handle creep involved in evaluation process
Cancer can be also more accurately predicted so that the model designed, is more in line with actual assessment requirements of one's work in amount factor
The risk factor of disease.
Further, formula (1) expands into following equation:
Wherein
x1To x64Indicate the 64 input parameters chosen from 7 subset of parameters, ξ1To ξ9Indicate 9 external creeps
Amount, be respectively used to indicate the following terms score value: rule of life, emotional state, sleep state, dietetic nutrition, exercise habit,
Drug factors, chemical factors, occupational factor and socio-psychological factor；And Λ x1,1To Λ x64,9And δ1To δ9For linear operation
Coefficient.
That is, in the design process of this structural equation model, by rule of life, emotional state, sleep state,
Dietetic nutrition, exercise habit, drug factors, chemical factors, occupational factor and socio-psychological factor this 9 is used as external creep
Amount is to be designed.That is, this 9 factors, which can be constituted independent variable and interior raw latent variable, to be influenced, it is determining cancer
Factor at the beginning of the sheet of risk.And this design is clearly to be consistent with the etiological analysis of cancer.Therefore using this 9 factors as
External latent variable can accurately predict the risk of cancer coefficient of user.
Further, formula (2) expands into following equation:
Its
In
y1To y32Indicate 32 elements of dependent variable y, and η1To η7Indicate interior raw latent variable corresponding with dependent variable y, and
And Λ y1,1To Λ y32,7And ε1To ε32For the coefficient of linear operation, wherein y1To y32For 32 selected from following 7 subset of parameters
A parameter:
First subset of parameters includes at least one parameter in following parameter: the full exon group of tumour；Tumour full genome
Group；cfDNA；ctDNA；Tumor methylation；Tumour acetylation；And miRNA,
Second subset of parameters includes at least one parameter in following parameter: alpha-fetoprotein；Carcinomebryonic antigen；CA15-3；
Cancer antigen 199；Glycoprotein antigen 72-4；Squamous intraepithelial lesion；Neuronspecific enolase；Cyfra21-1 piece
Section；Cancer Antigen CA125；Change of serum C A242；Human chorionic gonadotrophin；Carbohydrate antigen CA50；TSGF (specifically give birth to by malignant tumour
The long factor)；People's epididymal proteins 4 (female)；And alpha-L-fucosidase,
Third subset of parameters includes at least one parameter in following parameter: epstein-Barr virus (EB)；Pylorus
Helicobacter；Hepatitis type B virus (chronic infection)；Hepatitis C Virus (chronic infection)；Human Mn superoxide dismutase (HIV)
(infection)；Human papilloma virus 16,18,31,33,35,39,45,51,52,56,58,59 types (HPV)；The thermophilic T lymphocyte disease of people
Malicious I type (HTLV-I)；Kaposi's sarcoma herpesviral (KSHV)；Clonorchis sinensis (infection)；Opisthorchis viverrini (infection)；It is Egyptian
Blood fluke (infection)；Malaria (caused by the falciparum infection of high prevalence area)；68 type of human papilloma virus (HPV)；With
And merkel's cells polyomavirus (MCV),
4th subset of parameters includes at least one parameter in following parameter: CD3+CD4-CD8-；CD3+CD4+CD8-
(complementary/induced T lymphocyte)；CD3+CD4-CD8+ (cell toxicant/suppressor T lymphocyte)；(double positive T are thin by CD3+CD4+CD8+
Born of the same parents)；CD3+CD19- (total T cell)；CD3+CD19+；CD3-CD19+ (B cell)；CD3+(CD16+CD56)-；CD3+(CD16+
CD56)+(non-HLA dependent cells poison T cell)；CD3- (CD16+CD56)+(natural killer cells)；(static T is thin by CD3+DR-
Born of the same parents)；CD3+DR+ (activating T cell)；CD3-DR+；CD3+CD25- (resting T cells)；CD3+CD25+ (activating T cell)；CD3-
CD25+；CD4+CD8+；And Lymphocyte (lymphocyte)；
5th subset of parameters includes at least one parameter in following parameter: promoting prolactin(PRL；Estradiol；Progesterone；Promote ovum
Steep hormone；Testosterone；Metakentrin；Corticotropin；Pituitary prolactin (PRL)；And free testosterone (FT),
6th subset of parameters includes at least one parameter in following parameter: ultrasonic image；Low-dose CT；MRI；Stomach
Mirror；And colonoscopy,
7th subset of parameters includes at least one parameter in following parameter: glutamic-pyruvic transaminase；Glutamic-oxalacetic transaminease；Millet straw
Transaminase/glutamic-pyruvic transaminase；Total protein；Albumin；Globulin；Albumins/globulins；Alkaline phosphatase；Glutamine transpeptidase；
Total bilirubin；Bilirubin direct；Indirect bilirubin；Cholinesterase；Prealbumin；Serum creatinine；Uric acid；Urea；Glucose；Glycerol
Three esters；Cholesterol；High-density lipoprotein；Low-density lipoprotein；Calcium；Phosphorus；Magnesium；Sodium；Potassium；Chlorine；Total CO 2；Total bile acid；
Hs-CRP；Creatine kinase；Creatine kinase-MB；Alpha-L-fucosidase；Transferrins；And retinol combination egg
It is white,
And η1To η7Indicate respectively the score value of following 7 aspects: gene level, virus infection, is immunized tumor markers
Function, metabolic index, hormonal readiness, modern image.
In the definition of structural equation model, interior raw latent variable is still unobservable latent variable, but interior life is latent
Variable can determine dependent variable again.Therefore in the design of this structural equation model, by gene level, tumor markers, virus
Infection, immune function, metabolic index, hormonal readiness, modern image score value as interior raw latent variable.On the one hand, this 7 factors
Belong to potential factor, is not easy directly to observe；On the other hand, this 7 factors are again by external latent variable (i.e. mentioned-above 9
To parameter) influence.Therefore this 7 factors are chosen as interior raw latent variable, had both met the definition of structural equation model, and had also complied with
The analysis of cancer disease due to.And this 7 factors can be speculated that (7 parameters recited above are certainly by the parameter that chemical examination obtains
Oneself), so as to complete structural equation model by choosing observable dependent variable appropriate.
Since the independent variable and dependent variable of model are all that can investigate and observable object.Therefore be conducive to equation of structure mould
The sample collection and training of type.
The formula (3) expands into following equation:
Wherein B1,1To B7,7、Γ1,1To Γ7,9And ζ1To ζ7For the coefficient of linear operation.And optionally
Optionally, formula (4) expands into following equation:
Z=w1y1+w2y2+w3y3+w4y4+w5y5+w6y6+w7y7.Wherein, w1To w7For it is pre-set respectively with y1To y7It is right
The weighted value answered.
So that computation model of the equipment utilization based on structural equation model described in the present embodiment can according to above formula
Accurately to calculate the risk of cancer coefficient of assessment object, so that solve existing in the prior art cannot be diagnosed to be as early as possible
The technical issues of assessing the Cancerous disease of object and the risk of cancer of assessment object cannot being prejudged.
Embodiment 2
Fig. 2 shows the schematic diagrames for the system 200 that risk of cancer is assessed according to the present embodiment 2.Wherein Fig. 2 and figure
1 difference is only that Fig. 2 is the assessment realized using network system to risk of cancer.
Specifically, system 200 includes terminal device 210 and server 220.Wherein, the terminal equipment configuration is for connecing
The parameter of the risk of cancer coefficient for assessing assessment object of user's input is received, and the parameter is sent to the service
Device；And the server, it is configured to carry out following operation: receiving the parameter from the terminal device；Using based on knot
The computation model of structure equation model calculates the risk of cancer coefficient of assessment object according to the parameter of the input；And to described
Terminal device sends the risk of cancer coefficient of the assessment object.
To which the present embodiment realizes the system for assessing risk of cancer using terminal device 210 and server 220
200.The beneficial effect of the present embodiment can be with the statement in reference implementation example 1, here, repeating no more.
Optionally, the parameter of the input includes the parameter sets being made of following 7 subset of parameters, wherein
First subset of parameters includes at least one parameter in following parameter: the regularity of sleep；The regularity of work；
The regularity of diet；Laws of motion；And the regularity of defecation,
Second subset of parameters includes at least one parameter in following parameter: emotional state；Pressure state；Anxiety shape
State；And depressive state,
Third subset of parameters includes at least one parameter in following parameter: sleep state；Time for falling asleep；Night wakes up
The problem of seriousness；Early awakening；Total sleep time；Total sleep quality；Daytime mood；Daytime body function；And daytime drowsiness
Situation,
4th subset of parameters includes at least one parameter in following parameter: body mass index；Defecation regularity；Stool property
Shape；Implication；Breakfast, lunch and dinner regularity；Food situation；Diet content；Smoking；It drinks；And drink tea,
5th subset of parameters includes at least one parameter in following parameter: aerobic exercise time；Move the cumulative time；
High-intensitive Exercise Frequency；Moderate strength Exercise Frequency；And low-intensity motion frequency,
6th subset of parameters includes assessing object to be related at least one drug factors, chemical factors or occupation as described below
Factor: unprocessed or slightly handle mineral oil；Aluminium production；2- naphthylamines；Neutron irradiation；Nickel compound；Cigarette drops in N'- nitroso
Alkali；4- (N- methyl nitrosamino group) -1- (3- pyridyl group) -1- butanone；Chinese style cured fish；Outdoor air pollution；Room containing particulate matter
Outer air pollution；Artist；Painter；Plasterer；3,4,5,3', 4'- pentachlorodiphenyl；2,3,4,7,8- pentachloro- dibenzofurans；
Pentachlorophenol；Phenaetin；Acrylamide；Adriamycin；The mixture of α-chlorinated toluenes and chlorobenzoyl chloride；Androgen；Steroids；
Art glass, glass container and pressed ware manufacture；Azacitidine；Urethanes；Diclofenac；Pitch；Oppose bacterium
It is red；Carbon electrode manufacture；Trichloroacetaldehyde；Chloraldurate；Chloramphenicol；1- (2- chloroethyl) -3- cyclohexyl -1- nitroso ureas；4- is chloro-
O- toluidines；Chloramphenicol；Cis-platinum；Cobalt metal containing tungsten carbide；Creasote；Cyclopenta [cd] pyrene；4,4'- dichloro two
Benzene trichloroethanes；Diazinon；Dibenzo [a, h] anthracene；Dibenzo [a, j] acridine；Dibenzo [a, l] pyrene；Methylene chloride；Dieldrite
With the metabolizable drinox for dieldrite；Dithyl sulfate；Dimethyl suflfate；Dimethylaminoethyl chloride；Dimethylformamide；It is more
Bromo biphenyl；Procarbazine hydrochloride；1,3- propane sultone；Tetrachloro-ethylene；Tetrafluoroethene；7,8- styrene oxide；Vinyl bromide；Fluorine
Ethylene；1,2- dimethylhydrazine；Epoxychloropropane；Biomass fuel；The indoor discharge of domestic fuel burning；Bromofume；It is fried；
Glycidol；Glyphosate；Hairdresser or hairdresser；The nitrate or nitrous acid taken under the conditions of leading to endogenous opiate like substance
Salt；Hydrazine；Indium phosphide；2- amino -3- methylimidazole [4,5-f] quinoline；Inorganic lead compound；Malathion；2- sulfydryl benzo
Thiazole；5-MOP；Methyl mesylate；N-ethyl-N-nitrosourea；6- nitrobiphenyl；Mustargen；1-nitropyrene；
2- nitrotoleune；N-methyl-N'-nitro-N-nitrosoguanidine；N-methyl-N-nitrosourea；N-Nitrosodiethylamine；N- nitrous
Base dimethylamine；Non- arsenic insecticide；Petroleum refining；Pioglitazone；Teniposide；Tetrabromobisphenol A；3,3 ', 4,4 '-tetrachloro azos
Benzene；1,2,3- trichloropropane；Tricresyl phosphate (2,3- dibromopropyl) ester；Reference is higher than 65 DEG C of awfully hot beverage；It is related to saving round the clock
Restrain the work in shifts upset；Silicon carbide whisker；And intake red meat；And
7th subset of parameters includes at least one parameter in reflection depression and the following parameter of anxiety degree: depressed feelings
Thread；Guilty sense；Suicide；Difficulty falling asleep；Sleep is not deep；Early awakening；Work and interest；It is slow；It is intense；Anxiety；Corporality is burnt
Consider；Gastrointestinal symptom；Constitutional symptom；Property symptom；Hypochondriasis；Weight loss；Insight；Anxious mood；It is nervous；Fear；Insomnia；Recognize
Know function；Depressive mood；Somatic anxiety；Sensory system symptom；Cardiovascular system symptoms；Respiratory symptoms；Gastro-intestinal digestion
Road symptom；Reproduction, urinary system symptom；Automatic nervous system symptom；Performance when talking with people.
Wherein, the above parameter is related to life, psychology and work of user etc..That is, being mentioned according to embodiment
The equipment of confession can assess the cancer wind of user according to the design parameter of life, psychology and the work for being related to user etc.
Dangerous coefficient.To provide a kind of new angle and approach for predicting risk of cancer coefficient.
Also, in the specific implementation process, the above parameter can by inquiry questionnaire mode from user there obtain.
Specifically, Fig. 3 shows the schematic diagram of the computation model of structural equation model.The computation model is related to 4 variables,
That is the corresponding external latent variable ξ of independent variable x and independent variable x, dependent variable y and interior raw latent variable η corresponding with dependent variable y.
Wherein, external latent variable ξ is not influenced by other any variables, and only influence its dependent variable.And the change
Amount cannot be observed directly, can only be speculated according to the independent variable x of observation.
Interior raw latent variable η is the variable for being always subjected to the influence of at least one other variable.And the variable cannot be direct
Observation, can only be speculated according to the dependent variable y of observation.
To since subset of parameters recited above is than more fully covering each side involved in assessment risk of cancer
Face, therefore the present embodiment can be based on structural equation model to cancer wind using the above parameter as the input parameter of independent variable
Dangerous coefficient is counted.
Optionally, assessment object is calculated according to the parameter of the input using the computation model based on structural equation model
The operation of risk of cancer coefficient include:
Using the following calculation formula of the computation model, the risk of cancer coefficient of patient is calculated:
X=Λ x ξ+δ (1)
Y=Λ y η+ε (2)
η=B η+Г ξ+ζ (3)
Z=wTY (4),
Wherein, formula (1) and formula (2) are the equation of the observation model of the computation model, and formula (3) is the calculating
The equation of the structural model of model, and formula (1) is the equation for the observation model for independent variable, and formula (2) is needle
To the observation model of dependent variable, formula (4) is the equation for indicating the relationship between the risk of cancer coefficient and dependent variable, and
Wherein
X indicates that the parameter of the input as independent variable, ξ indicate that external latent variable corresponding with independent variable x, y indicate
Interior raw observational variable, η as dependent variable indicate that interior raw latent variable corresponding with dependent variable and z indicate risk of cancer coefficient,
And Λ x, Λ y, δ, ε, B, Г and ζ are respectively the parameter of respective linear equation, and w is weight vectors corresponding with y.
In the evaluation process of the risk factor of cancer, many factors for inducing cancer, such as psychology, occupation and life
The factors such as habit, are all difficult to directly accurately measure.This factor is known as latent variable (latent variable).Therefore only
Some outer aobvious indexs (observable indicators) can be used, go to measure these latent variables indirectly.Traditional statistical method is not
These latent variables can be effectively treated, and structural equation model can then handle latent variable and its index simultaneously.Therefore, the present embodiment
Technical solution assesses risk of cancer coefficient with structural equation model, can effectively handle creep involved in evaluation process
Cancer can be also more accurately predicted so that the model designed, is more in line with actual assessment requirements of one's work in amount factor
The risk factor of disease.
Further, formula (1) expands into following equation:
Wherein
x1To x64Indicate the 64 input parameters chosen from 7 subset of parameters, ξ1To ξ9Indicate 9 external creeps
Amount, be respectively used to indicate the following terms score value: rule of life, emotional state, sleep state, dietetic nutrition, exercise habit,
Drug factors, chemical factors, occupational factor and socio-psychological factor；And Λ x1,1To Λ x64,9And δ1To δ9For linear operation
Coefficient.
That is, in the design process of this structural equation model, by rule of life, emotional state, sleep state,
Dietetic nutrition, exercise habit, drug factors, chemical factors, occupational factor and socio-psychological factor this 9 is used as external creep
Amount is to be designed.That is, this 9 factors, which can be constituted independent variable and interior raw latent variable, to be influenced, it is determining cancer
Factor at the beginning of the sheet of risk.And this design is clearly to be consistent with the etiological analysis of cancer.Therefore using this 9 factors as
External latent variable can accurately predict the risk of cancer coefficient of user.
Further, formula (2) expands into following equation:
Its
In
y1To y32Indicate 32 elements of dependent variable y, and η1To η7Indicate interior raw latent variable corresponding with dependent variable y, and
And Λ y1,1To Λ y32,7And ε1To ε32For the coefficient of linear operation, wherein y1To y32For 32 selected from following 7 subset of parameters
A parameter:
First subset of parameters includes at least one parameter in following parameter: the full exon group of tumour；Tumour full genome
Group；cfDNA；ctDNA；Tumor methylation；Tumour acetylation；And miRNA,
Second subset of parameters includes at least one parameter in following parameter: alpha-fetoprotein；Carcinomebryonic antigen；CA15-3；
Cancer antigen 199；Glycoprotein antigen 72-4；Squamous intraepithelial lesion；Neuronspecific enolase；Cyfra21-1 piece
Section；Cancer Antigen CA125；Change of serum C A242；Human chorionic gonadotrophin；Carbohydrate antigen CA50；TSGF (specifically give birth to by malignant tumour
The long factor)；People's epididymal proteins 4 (female)；And alpha-L-fucosidase,
Third subset of parameters includes at least one parameter in following parameter: epstein-Barr virus (EB)；Pylorus
Helicobacter；Hepatitis type B virus (chronic infection)；Hepatitis C Virus (chronic infection)；Human Mn superoxide dismutase (HIV)
(infection)；Human papilloma virus 16,18,31,33,35,39,45,51,52,56,58,59 types (HPV)；The thermophilic T lymphocyte disease of people
Malicious I type (HTLV-I)；Kaposi's sarcoma herpesviral (KSHV)；Clonorchis sinensis (infection)；Opisthorchis viverrini (infection)；It is Egyptian
Blood fluke (infection)；Malaria (caused by the falciparum infection of high prevalence area)；68 type of human papilloma virus (HPV)；With
And merkel's cells polyomavirus (MCV),
4th subset of parameters includes at least one parameter in following parameter: CD3+CD4-CD8-；CD3+CD4+CD8-
(complementary/induced T lymphocyte)；CD3+CD4-CD8+ (cell toxicant/suppressor T lymphocyte)；(double positive T are thin by CD3+CD4+CD8+
Born of the same parents)；CD3+CD19- (total T cell)；CD3+CD19+；CD3-CD19+ (B cell)；CD3+(CD16+CD56)-；CD3+(CD16+
CD56)+(non-HLA dependent cells poison T cell)；CD3- (CD16+CD56)+(natural killer cells)；(static T is thin by CD3+DR-
Born of the same parents)；CD3+DR+ (activating T cell)；CD3-DR+；CD3+CD25- (resting T cells)；CD3+CD25+ (activating T cell)；CD3-
CD25+；CD4+CD8+；And Lymphocyte (lymphocyte)；
5th subset of parameters includes at least one parameter in following parameter: promoting prolactin(PRL；Estradiol；Progesterone；Promote ovum
Steep hormone；Testosterone；Metakentrin；Corticotropin；Pituitary prolactin (PRL)；And free testosterone (FT),
6th subset of parameters includes at least one parameter in following parameter: ultrasonic image；Low-dose CT；MRI；Stomach
Mirror；And colonoscopy,
7th subset of parameters includes at least one parameter in following parameter: glutamic-pyruvic transaminase；Glutamic-oxalacetic transaminease；Millet straw
Transaminase/glutamic-pyruvic transaminase；Total protein；Albumin；Globulin；Albumins/globulins；Alkaline phosphatase；Glutamine transpeptidase；
Total bilirubin；Bilirubin direct；Indirect bilirubin；Cholinesterase；Prealbumin；Serum creatinine；Uric acid；Urea；Glucose；Glycerol
Three esters；Cholesterol；High-density lipoprotein；Low-density lipoprotein；Calcium；Phosphorus；Magnesium；Sodium；Potassium；Chlorine；Total CO 2；Total bile acid；
Hs-CRP；Creatine kinase；Creatine kinase-MB；Alpha-L-fucosidase；Transferrins；And retinol combination egg
It is white,
And η1To η7Indicate respectively the score value of following 7 aspects: gene level, virus infection, is immunized tumor markers
Function, metabolic index, hormonal readiness, modern image.
In the definition of structural equation model, interior raw latent variable is still unobservable latent variable, but interior life is latent
Variable can determine dependent variable again.Therefore in the design of this structural equation model, by gene level, tumor markers, virus
Infection, immune function, metabolic index, hormonal readiness, modern image score value as interior raw latent variable.On the one hand, this 7 factors
Belong to potential factor, is not easy directly to observe；On the other hand, this 7 factors are again by external latent variable (i.e. mentioned-above 9
To parameter) influence.Therefore this 7 factors are chosen as interior raw latent variable, had both met the definition of structural equation model, and had also complied with
The analysis of cancer disease due to.And this 7 factors can be speculated that (7 parameters recited above are certainly by the parameter that chemical examination obtains
Oneself), so as to complete structural equation model by choosing observable dependent variable appropriate.
Since the independent variable and dependent variable of model are all that can investigate and observable object.Therefore be conducive to equation of structure mould
The sample collection and training of type.
The formula (3) expands into following equation:
Wherein B1,1To B7,7、Γ1,1To Γ7,9And ζ1To ζ7For the coefficient of linear operation.And optionally
Optionally, formula (4) expands into following equation:
Z=w1y1+w2y2+w3y3+w4y4+w5y5+w6y6+w7y7.Wherein, w1To w7For it is pre-set respectively with y1To y7It is right
The weighted value answered.
So that computation model of the equipment utilization based on structural equation model described in the present embodiment can according to above formula
Accurately to calculate the risk of cancer coefficient of assessment object, so that solve existing in the prior art cannot be diagnosed to be as early as possible
The technical issues of assessing the Cancerous disease of object and the risk of cancer of assessment object cannot being prejudged.
Annex: questionnaire
(1) rule of life
Scoring _ _ _ _ _ _ point
(2) emotional state
Scoring _ _ _ _ _ _ _ point
1, normal 2, more normal 3, general 4, abnormal 5, abnormal
(1), normal: energetic, actively optimistic, energy transfer pressure, it is of a sanguine disposition.
(2), relatively normal: energy is more abundant, has appropriate pressure, can effectively solve.
(3), general: energy is fine, and pressure is larger, is difficult to mediate mood sometimes (anxiety, depression are manic).
(4), abnormal: energy is not good, once in a while anxiety, depressed or manic irritability.
(5), abnormal: absent-minded, frequent anxiety, depressed or manic irritability are frightened even to commit suicide.
Reference standard
Evaluation degree: 0- is not met；1- meets sometimes；2- usually meets；3- always meets
(3) sleep state
Scoring _ _ _ _ _ _ _ point
Reference standard:
1) Nighttime sleep 7-9 hours preferably _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2) following sleeping problems, if per week within past 1 month at least to occur (such as nothing, to select with you for 3 times
“0”)
(4) dietetic nutrition
Scoring _ _ _ _ _ _ point
(5) exercise habit
Scoring _ _ _ _ _ _ point
(calculating the swimming as taken a walk, ball game, running, Tai Ji, the movable total activity amount of the body health benefits such as Yoga)
Reference content
Physical training and diet (five years ago-is present)
It was calculated with one week, the time for carrying out following physical training is (only calculating the activity for continuing 30 minutes or more every time)
(6) drug, physics and chemistry, occupational factor scale
Drug, environment physics and chemistry, occupational factor:
Standards of grading: 1-5 points
(7) socio-psychological factor scale
(1) depressed:
Total score is more than 35 points, may be major depression；
More than 20 points, it may be possible to it is light or in isocratic depression；
Such as less than 8 points, patient is just without depressive symptom.
General Cut-off score, HAMD17 are respectively 24 points, 17 points and 7 points.
(2) anxiety:
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
In the above embodiment of the invention, it all emphasizes particularly on different fields to the description of each embodiment, does not have in some embodiment
The part of detailed description, reference can be made to the related descriptions of other embodiments.
In several embodiments provided herein, it should be understood that disclosed technology contents can pass through others
Mode is realized.Wherein, the apparatus embodiments described above are merely exemplary, such as the division of the unit, only
A kind of logical function partition, there may be another division manner in actual implementation, for example, multiple units or components can combine or
Person is desirably integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed is mutual
Between coupling, direct-coupling or communication connection can be through some interfaces, the INDIRECT COUPLING or communication link of unit or module
It connects, can be electrical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can store in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially
The all or part of the part that contributes to existing technology or the technical solution can be in the form of software products in other words
It embodies, which is stored in a storage medium, including some instructions are used so that a computer
Equipment (can be personal computer；Server or the network equipment etc.) execute each embodiment the method for the present invention whole or
Part steps.And storage medium above-mentioned includes: USB flash disk；Read-only memory (ROM, Read-Only Memory)；Arbitrary access is deposited
Reservoir (RAM, RandomAccess Memory)；Mobile hard disk；Various Jie that can store program code such as magnetic or disk
Matter.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered
It is considered as protection scope of the present invention.
Claims (10)
1. a kind of equipment for cancer risk assessment characterized by comprising
Input unit, for receiving the information of user's input；
Output device is used for user's output information；
Processor；And
Memory is connected to the processor, for providing the instruction for handling following processing step for the processor:
The parameter of the risk of cancer coefficient for assessing assessment object is received from input unit；
The cancer of the assessment object is calculated according to the parameter of the input using the computation model based on structural equation model
Risk factor；And
The risk of cancer coefficient of the assessment object is exported by the output device.
2. equipment according to claim 1, which is characterized in that the parameter of the input includes by following 7 subset of parameters
The parameter sets of composition, wherein
First subset of parameters includes at least one parameter in following parameter: the regularity of sleep；The regularity of work；Diet
Regularity；Laws of motion；And the regularity of defecation,
Second subset of parameters includes at least one parameter in following parameter: emotional state；Pressure state；Anxiety state；With
And depressive state,
Third subset of parameters includes at least one parameter in following parameter: sleep state；Time for falling asleep；What night woke up asks
The seriousness of topic；Early awakening；Total sleep time；Total sleep quality；Daytime mood；Daytime body function；And daytime drowsiness's situation,
4th subset of parameters includes at least one parameter in following parameter: body mass index；Defecation regularity；Stool；
Implication；Breakfast, lunch and dinner regularity；Food situation；Diet content；Smoking；It drinks；And drink tea,
5th subset of parameters includes at least one parameter in following parameter: aerobic exercise time；Move the cumulative time；It is high-strength
Spend Exercise Frequency；Moderate strength Exercise Frequency；And low-intensity motion frequency,
6th subset of parameters include assess object be related to drug factors, chemical factors or occupation at least one of as described below because
Element: unprocessed or slightly handle mineral oil；Aluminium production；2- naphthylamines；Neutron irradiation；Nickel compound；N'- nitrosonornicotine；
4- (N- methyl nitrosamino group) -1- (3- pyridyl group) -1- butanone；Chinese style cured fish；Outdoor air pollution；Outdoor containing particulate matter is empty
Gas pollution；Artist；Painter；Plasterer；3,4,5,3', 4'- pentachlorodiphenyl；2,3,4,7,8- pentachloro- dibenzofurans；Pentachloro-
Phenol；Phenaetin；Acrylamide；Adriamycin；The mixture of α-chlorinated toluenes and chlorobenzoyl chloride；Androgen；Steroids；Art
Glass, glass container and pressed ware manufacture；Azacitidine；Urethanes；Diclofenac；Pitch；Difoltan；Carbon
Electrode manufacture；Trichloroacetaldehyde；Chloraldurate；Chloramphenicol；1- (2- chloroethyl) -3- cyclohexyl -1- nitroso ureas；The chloro- o- first of 4-
Aniline；Chloramphenicol；Cis-platinum；Cobalt metal containing tungsten carbide；Creasote；Cyclopenta [cd] pyrene；4,4'- dichloro trichlorine
Ethane；Diazinon；Dibenzo [a, h] anthracene；Dibenzo [a, j] acridine；Dibenzo [a, l] pyrene；Methylene chloride；Dieldrite and Ke Dai
Thank to the drinox for dieldrite；Dithyl sulfate；Dimethyl suflfate；Dimethylaminoethyl chloride；Dimethylformamide；More bromine connection
Benzene；Procarbazine hydrochloride；1,3- propane sultone；Tetrachloro-ethylene；Tetrafluoroethene；7,8- styrene oxide；Vinyl bromide；Fluorine second
Alkene；1,2- dimethylhydrazine；Epoxychloropropane；Biomass fuel；The indoor discharge of domestic fuel burning；Bromofume；It is fried；Contracting
Water glycerol；Glyphosate；Hairdresser or hairdresser；The nitrate or nitrite taken under the conditions of leading to endogenous opiate like substance；
Hydrazine；Indium phosphide；2- amino -3- methylimidazole [4,5-f] quinoline；Inorganic lead compound；Malathion；2- sulfydryl benzo thiophene
Azoles；5-MOP；Methyl mesylate；N-ethyl-N-nitrosourea；6- nitrobiphenyl；Mustargen；1-nitropyrene；2-
Nitrotoleune；N-methyl-N'-nitro-N-nitrosoguanidine；N-methyl-N-nitrosourea；N-Nitrosodiethylamine；N- nitroso
Dimethylamine；Non- arsenic insecticide；Petroleum refining；Pioglitazone；Teniposide；Tetrabromobisphenol A；3,3 ', 4,4 '-tetrachloro azobenzenes；
1,2,3- trichloropropane；Tricresyl phosphate (2,3- dibromopropyl) ester；Reference is higher than 65 DEG C of awfully hot beverage；It is related to circadian rhythm to beat
Random work in shifts；Silicon carbide whisker；And intake red meat；And
7th subset of parameters includes at least one parameter in reflection depression and the following parameter of anxiety degree: depressive emotion；
Guilty sense；Suicide；Difficulty falling asleep；Sleep is not deep；Early awakening；Work and interest；It is slow；It is intense；Anxiety；Somatic anxiety；
Gastrointestinal symptom；Constitutional symptom；Property symptom；Hypochondriasis；Weight loss；Insight；Anxious mood；It is nervous；Fear；Insomnia；Cognition
Function；Depressive mood；Somatic anxiety；Sensory system symptom；Cardiovascular system symptoms；Respiratory symptoms；Gastro-intestinal tract
Symptom；Reproduction, urinary system symptom；Automatic nervous system symptom；Performance when talking with people.
3. equipment according to claim 2, which is characterized in that the computation model based on structural equation model is utilized, according to
The parameter of the input, the operation for calculating the risk of cancer coefficient of assessment object include:
Using the following calculation formula of the computation model, the risk of cancer coefficient of assessment object is calculated:
X=Λ x ξ+δ (1)
Y=Λ y η+ε (2)
η=B η+Г ξ+ζ (3),
Z=wTY (4),
Wherein, formula (1) and formula (2) are the equation of the observation model of the computation model, and formula (3) is the computation model
Structural model equation, and formula (1) be for for independent variable observation model equation, formula (2) be for because
The observation model of variable, and wherein
X indicates that the parameter of the input as independent variable, ξ indicate that external latent variable corresponding with independent variable x, y indicate conduct
The risk of cancer coefficient and η of dependent variable indicate interior raw latent variable corresponding with dependent variable, and Λ x, Λ y, δ, ε, B,
Г and ζ is respectively the parameter of respective linear equation.
4. equipment according to claim 3, which is characterized in that formula (1) expands into following equation:
Wherein
x1To x64Indicate the 64 input parameters chosen from 7 subset of parameters,
ξ1To ξ9Indicate 9 external latent variables, be respectively used to indicate the score value of the following terms: rule of life, is slept at emotional state
Dormancy state, dietetic nutrition, exercise habit, drug factors, chemical factors, occupational factor and socio-psychological factor；And
Λx1,1To Λ x64,9And δ1To δ9For the coefficient of linear operation.
5. equipment according to claim 4, which is characterized in that formula (2) expands into following equation:
Wherein
y1To y32Indicate 32 elements of dependent variable y, and η1To η7Indicate interior raw latent variable corresponding with dependent variable y, and Λ
y1,1To Λ y32,7And ε1To ε32For the coefficient of linear operation,
Wherein, y1To y32For 32 parameters selected from following 7 subset of parameters:
First subset of parameters includes at least one parameter in following parameter: the full exon group of tumour；Tumour full-length genome；
cfDNA；ctDNA；Tumor methylation；Tumour acetylation；And miRNA,
Second subset of parameters includes at least one parameter in following parameter: alpha-fetoprotein；Carcinomebryonic antigen；CA15-3；Cancer is anti-
Original 199；Glycoprotein antigen 72-4；Squamous intraepithelial lesion；Neuronspecific enolase；Cytokeratin 19 fragment；
Cancer Antigen CA125；Change of serum C A242；Human chorionic gonadotrophin；Carbohydrate antigen CA50；TSGF (malignant tumour specific growth because
Son)；People's epididymal proteins 4 (female)；And alpha-L-fucosidase,
Third subset of parameters includes at least one parameter in following parameter: epstein-Barr virus (EB)；Helicobacter pylorus
Bacterium；Hepatitis type B virus (chronic infection)；Hepatitis C Virus (chronic infection)；Human Mn superoxide dismutase (HIV) (sense
Dye)；Human papilloma virus 16,18,31,33,35,39,45,51,52,56,58,59 types (HPV)；Human T-cell lymphotropic virus I
Type (HTLV-I)；Kaposi's sarcoma herpesviral (KSHV)；Clonorchis sinensis (infection)；Opisthorchis viverrini (infection)；Egyptian blood
Fluke (infection)；Malaria (caused by the falciparum infection of high prevalence area)；68 type of human papilloma virus (HPV)；And
Merkel's cells polyomavirus (MCV),
4th subset of parameters includes at least one parameter in following parameter: CD3+CD4-CD8-；CD3+CD4+CD8- (auxiliary
Property/induced T lymphocyte)；CD3+CD4-CD8+ (cell toxicant/suppressor T lymphocyte)；CD3+CD4+CD8+ (double positive T cells)；
CD3+CD19- (total T cell)；CD3+CD19+；CD3-CD19+ (B cell)；CD3+(CD16+CD56)-；CD3+(CD16+
CD56)+(non-HLA dependent cells poison T cell)；CD3- (CD16+CD56)+(natural killer cells)；(static T is thin by CD3+DR-
Born of the same parents)；CD3+DR+ (activating T cell)；CD3-DR+；CD3+CD25- (resting T cells)；CD3+CD25+ (activating T cell)；CD3-
CD25+；CD4+CD8+；And Lymphocyte (lymphocyte)；
5th subset of parameters includes at least one parameter in following parameter: promoting prolactin(PRL；Estradiol；Progesterone；Promote ovarian follicle to swash
Element；Testosterone；Metakentrin；Corticotropin；Pituitary prolactin (PRL)；And free testosterone (FT),
6th subset of parameters includes at least one parameter in following parameter: ultrasonic image；Low-dose CT；MRI；Gastroscope；With
And colonoscopy,
7th subset of parameters includes at least one parameter in following parameter: glutamic-pyruvic transaminase；Glutamic-oxalacetic transaminease；Millet straw turns ammonia
Enzyme/glutamic-pyruvic transaminase；Total protein；Albumin；Globulin；Albumins/globulins；Alkaline phosphatase；Glutamine transpeptidase；Total gallbladder
Red pigment；Bilirubin direct；Indirect bilirubin；Cholinesterase；Prealbumin；Serum creatinine；Uric acid；Urea；Glucose；Glycerol three
Ester；Cholesterol；High-density lipoprotein；Low-density lipoprotein；Calcium；Phosphorus；Magnesium；Sodium；Potassium；Chlorine；Total CO 2；Total bile acid；It is super
Sensitive C-reactive protein；Creatine kinase；Creatine kinase-MB；Alpha-L-fucosidase；Transferrins；And RBP ELISA,
And η1To η7Indicate respectively it is following 7 aspect score value: gene level, tumor markers, virus infection, immune function,
Metabolic index, hormonal readiness, modern image.
6. equipment according to claim 5, which is characterized in that the formula (3) expands into following equation:
Its
In
B1,1To B7,7、Γ1,1To Γ7,9And ζ1To ζ7For the coefficient of linear operation.
7. equipment according to claim 6, which is characterized in that the formula (4) expands into following equation:
Z=w1y1+w2y2+w3y3......+w30y30+w31y31+w32y32
Wherein, w1To w32For it is pre-set respectively with y1To y32Corresponding weighted value.
8. a kind of system for cancer risk assessment, including terminal device and server, which is characterized in that
The terminal equipment configuration is used to receive the parameter of the risk of cancer coefficient for assessing assessment object of user's input, and
The parameter is sent to the server；And
The server is configured to carry out following operation:
The parameter is received from the terminal device；
The risk of cancer of assessment object is calculated according to the parameter of the input using the computation model based on structural equation model
Coefficient；And
The risk of cancer coefficient of the assessment object is sent to the terminal device.
9. system according to claim 7, which is characterized in that the parameter of the input includes by following 7 subset of parameters
The parameter sets of composition, wherein
First subset of parameters includes at least one parameter in following parameter: the regularity of sleep；The regularity of work；Diet
Regularity；Laws of motion；And the regularity of defecation,
Second subset of parameters includes at least one parameter in following parameter: emotional state；Pressure state；Anxiety state；With
And depressive state,
Third subset of parameters includes at least one parameter in following parameter: sleep state；Time for falling asleep；What night woke up asks
The seriousness of topic；Early awakening；Total sleep time；Total sleep quality；Daytime mood；Daytime body function；And daytime drowsiness's situation,
4th subset of parameters includes at least one parameter in following parameter: body mass index；Defecation regularity；Stool；
Implication；Breakfast, lunch and dinner regularity；Food situation；Diet content；Smoking；It drinks；And drink tea,
5th subset of parameters includes at least one parameter in following parameter: aerobic exercise time；Move the cumulative time；It is high-strength
Spend Exercise Frequency；Moderate strength Exercise Frequency；And low-intensity motion frequency,
6th subset of parameters include assess object be related to drug factors, chemical factors or occupation at least one of as described below because
Element: unprocessed or slightly handle mineral oil；Aluminium production；2- naphthylamines；Neutron irradiation；Nickel compound；N'- nitrosonornicotine；
4- (N- methyl nitrosamino group) -1- (3- pyridyl group) -1- butanone；Chinese style cured fish；Outdoor air pollution；Outdoor containing particulate matter is empty
Gas pollution；Artist；Painter；Plasterer；3,4,5,3', 4'- pentachlorodiphenyl；2,3,4,7,8- pentachloro- dibenzofurans；Pentachloro-
Phenol；Phenaetin；Acrylamide；Adriamycin；The mixture of α-chlorinated toluenes and chlorobenzoyl chloride；Androgen；Steroids；Art
Glass, glass container and pressed ware manufacture；Azacitidine；Urethanes；Diclofenac；Pitch；Difoltan；Carbon
Electrode manufacture；Trichloroacetaldehyde；Chloraldurate；Chloramphenicol；1- (2- chloroethyl) -3- cyclohexyl -1- nitroso ureas；The chloro- o- first of 4-
Aniline；Chloramphenicol；Cis-platinum；Cobalt metal containing tungsten carbide；Creasote；Cyclopenta [cd] pyrene；4,4'- dichloro trichlorine
Ethane；Diazinon；Dibenzo [a, h] anthracene；Dibenzo [a, j] acridine；Dibenzo [a, l] pyrene；Methylene chloride；Dieldrite and Ke Dai
Thank to the drinox for dieldrite；Dithyl sulfate；Dimethyl suflfate；Dimethylaminoethyl chloride；Dimethylformamide；More bromine connection
Benzene；Procarbazine hydrochloride；1,3- propane sultone；Tetrachloro-ethylene；Tetrafluoroethene；7,8- styrene oxide；Vinyl bromide；Fluorine second
Alkene；1,2- dimethylhydrazine；Epoxychloropropane；Biomass fuel；The indoor discharge of domestic fuel burning；Bromofume；It is fried；Contracting
Water glycerol；Glyphosate；Hairdresser or hairdresser；The nitrate or nitrite taken under the conditions of leading to endogenous opiate like substance；
Hydrazine；Indium phosphide；2- amino -3- methylimidazole [4,5-f] quinoline；Inorganic lead compound；Malathion；2- sulfydryl benzo thiophene
Azoles；5-MOP；Methyl mesylate；N-ethyl-N-nitrosourea；6- nitrobiphenyl；Mustargen；1-nitropyrene；2-
Nitrotoleune；N-methyl-N'-nitro-N-nitrosoguanidine；N-methyl-N-nitrosourea；N-Nitrosodiethylamine；N- nitroso
Dimethylamine；Non- arsenic insecticide；Petroleum refining；Pioglitazone；Teniposide；Tetrabromobisphenol A；3,3 ', 4,4 '-tetrachloro azobenzenes；
1,2,3- trichloropropane；Tricresyl phosphate (2,3- dibromopropyl) ester；Reference is higher than 65 DEG C of awfully hot beverage；It is related to circadian rhythm to beat
Random work in shifts；Silicon carbide whisker；And intake red meat；And
7th subset of parameters includes at least one parameter in the following parameter for reflect Degree of Depression and anxiety degree: depressed feelings
Thread；Guilty sense；Suicide；Difficulty falling asleep；Sleep is not deep；Early awakening；Work and interest；It is slow；It is intense；Anxiety；Corporality is burnt
Consider；Gastrointestinal symptom；Constitutional symptom；Property symptom；Hypochondriasis；Weight loss；Insight；Anxious mood；It is nervous；Fear；Insomnia；Recognize
Know function；Depressive mood；Somatic anxiety；Sensory system symptom；Cardiovascular system symptoms；Respiratory symptoms；Gastro-intestinal digestion
Road symptom；Reproduction, urinary system symptom；Automatic nervous system symptom；Performance when talking with people.
10. system according to claim 9, which is characterized in that the computation model based on structural equation model is utilized, according to
The parameter of the input, the operation for calculating the risk of cancer coefficient of patient include:
Using the following calculation formula of the computation model, the risk of cancer coefficient of patient is calculated:
X=Λ x ξ+δ (1)
Y=Λ y η+ε (2)
η=B η+Г ξ+ζ (3)
Z=wTY (4),
Wherein, formula (1) and formula (2) are the equation of the observation model of the computation model, and formula (3) is the computation model
Structural model equation, and formula (1) be for for independent variable observation model equation, formula (2) be for because
The observation model of variable, formula (4) are the equation for indicating the relationship between the risk of cancer coefficient and dependent variable, and wherein
X indicates that the parameter of the input as independent variable, ξ indicate that external latent variable corresponding with independent variable x, y indicate conduct
Interior raw observational variable, the η of dependent variable indicate that interior raw latent variable corresponding with dependent variable and z indicate risk of cancer coefficient, and
Λ x, Λ y, δ, ε, B, Г and ζ are respectively the parameter of respective linear equation, and w is weight vectors corresponding with y.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103093103A (en) * | 2013-01-23 | 2013-05-08 | 西安阔途软件科技有限公司 | Multi-disease health risk factor evaluating system and method |
| CN104850725A (en) * | 2013-10-27 | 2015-08-19 | 闫波 | System and method used for health comprehensive assessment |
| CN106357802A (en) * | 2016-10-29 | 2017-01-25 | 深圳市前海安测信息技术有限公司 | System and method for evaluating health conditions based on internet of things |
| CN106407643A (en) * | 2016-08-03 | 2017-02-15 | 无锡金世纪国民体质与健康研究有限公司 | Method for establishing health risk assessment system |
| CN108206058A (en) * | 2016-12-19 | 2018-06-26 | 平安科技（深圳）有限公司 | Human body comprehensive health risk Forecasting Methodology and system |
| WO2018117899A1 (en) * | 2016-12-23 | 2018-06-28 | Айрат Мидхатович ХАНОВ | Decision support method and system in the remote monitoring of people at risk of cancer |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103093103A (en) * | 2013-01-23 | 2013-05-08 | 西安阔途软件科技有限公司 | Multi-disease health risk factor evaluating system and method |
| CN104850725A (en) * | 2013-10-27 | 2015-08-19 | 闫波 | System and method used for health comprehensive assessment |
| CN106407643A (en) * | 2016-08-03 | 2017-02-15 | 无锡金世纪国民体质与健康研究有限公司 | Method for establishing health risk assessment system |
| CN106357802A (en) * | 2016-10-29 | 2017-01-25 | 深圳市前海安测信息技术有限公司 | System and method for evaluating health conditions based on internet of things |
| CN108206058A (en) * | 2016-12-19 | 2018-06-26 | 平安科技（深圳）有限公司 | Human body comprehensive health risk Forecasting Methodology and system |
| WO2018117899A1 (en) * | 2016-12-23 | 2018-06-28 | Айрат Мидхатович ХАНОВ | Decision support method and system in the remote monitoring of people at risk of cancer |
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