CN107273652A - Intelligent risk of stroke monitoring system - Google Patents
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- CN107273652A CN107273652A CN201710139971.8A CN201710139971A CN107273652A CN 107273652 A CN107273652 A CN 107273652A CN 201710139971 A CN201710139971 A CN 201710139971A CN 107273652 A CN107273652 A CN 107273652A
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Abstract
The entitled intelligent risk of stroke monitoring system of the present invention, it the present invention relates to the use of health examination, personal information (including the age, sex, blood pressure of physical examination and hospital admission, height, body weight, constitutional index etc.), blood routine and blood biochemistry data monitoring risk of stroke, belong to the application of artificial intelligence and big data in health medical treatment field, be the interleaving techniques field of artificial intelligence, big data and health medical treatment.It is simple and easy to apply it is a primary object of the present invention to provide one, the high risk of stroke monitoring system of accuracy.The present invention is worth extractive technique by means of the prognosis modelling and big data of artificial intelligence, the intelligent risk of stroke monitoring system for by the data to more than 590,000 name normal persons and more than 20,000 name patients with cerebral apoplexy set up after up to ten thousand predictions, simulation and analysis and evaluations, help user and doctor to carry out the monitoring of risk of stroke, be that user's self-monitoring risk of stroke and final remote cerebral apoplexy provide hope.
Description
Technical field：
It the present invention relates to the use of health examination, the personal information of physical examination and hospital admission (including the age, sex, blood pressure, body
Height, body weight, constitutional index etc.), blood routine and blood biochemistry data monitoring risk of stroke belong to artificial intelligence and big data strong
The application of health medical field, is the interleaving techniques field of artificial intelligence, big data and health medical treatment.
Background technology：
World's cerebral apoplexy tissue points out that the whole world is annual newly to send out the people of cerebral apoplexy 17,000,000, the people of Stroke Death 6,000,000, because of brain
The people of permanent disability 5,000,000 that palsy is caused, cerebral apoplexy is the world's second largest cause of the death.
On December 8th, 2016, the cerebral apoplexy prevention and cure project committee of national health State Family Planning Commission issued in Foochow《Chinese cerebral apoplexy
Preventing and treating report 2016》.The existing people of patients with cerebral apoplexy 70,000,000 of China, the annual new hair people of cerebral apoplexy 2,000,000, the dead people of annual palsy
Cerebral apoplexy occurs for the people of number 1,650,000, every 12 Miao Jiyou Chineses, just has a Chinese to die from cerebral apoplexy within every 21 seconds, every year
The Chinese dead because of apoplexy account for the 22.45% of all death tolls, if prevention is proper, and 80% headstroke can prevent.
So, monitoring risk of stroke has very important significance.
Substantial amounts of research has shown that risk of stroke and blood routine and blood biochemistry index have close association.Ningxia the People's Hospital
The research text that clinical medical inspection diagnostic center Li Dongjie professors et al. deliver on the international laboratory medicine magazine in March, 2012
MPW (PDW) and acute cerebral infarction are disclosed in chapter " Conjoint Analysis of acute cerebral infarction risk indicator relative risk "
Extremely there is notable association；Osmania University medical genetics research institute of India Batu professors et al. are in June, 2013
" serum albumin levels are in cerebral arterial thrombosis and the clinical treatment of prognosis for the research article delivered on " Nutrition " magazine
In effect " in disclose albumin level and ischemic cerebral apoplexy risk and have significant association；Antalya hospital of Turkey
Hematology magazine " Blood coagulation＆fibrinolysis " of the research center Bayar professors et al. in September, 2015
On deliver research article " mean platelet volume prediction risk of stroke in application " in disclose average platelet body
Product and risk of stroke have significant association；Blue University Medical College Hatamian professors in Iranian osmanthus et al. are in October, 2014
" the research article " Stroke Death rate and the relation of erythrocyte parameter " that Iranian Journal of Neurology " are delivered
In disclose red blood cell count(RBC) and Stroke Death highlights correlations.
Instrument both at home and abroad for risk of stroke assessment is a lot, conventional such as Essen scales, CHAD52 scales and improvement
Not Framingham Stroke Scale.Essen risk of stroke marking scales ESRS are for patients with cerebral apoplexy, for predicting cerebral apoplexy
The risk of recurrence again of patient；CHAD52 scales are that risk of ischemic stroke occurs for current prediction Nonvalvular atrial fibrillation patient
Marking scales；The not Framingham Stroke Scale of improvement is current widely used simple palsy risk assessment tool, for predicting just
The onset risk of ordinary person's coming 10 years cerebral apoplexy, but the predictive variable used in the scale only has 8, it is not normal including any blood
Rule and the index of blood biochemistry.
The patent of invention that authorized both at home and abroad at present and just in application process relevant risk of stroke is assessed is all
It is relevant with biomarker, as Beijing causes into biomedical Science and Technology Ltd. Liu Hao in " one kind detection ischemic cerebral apoplexy
In molecular marker and its application " patent in (application number：CN201610439621.9) included with molecular marker
PIGR albumen or its active fragment carry out early detection；Li Yongwang application " PCYOX1 albumen is given birth to as cerebral arterial thrombosis
Application in thing mark " patent (application number：CN106086182A it is) to use PCYOX1 albumen or its active fragment diagnosing ischemia
Property cerebral apoplexy；Patent " the Biomarkers for acute ischemic stroke " that Barr et al. is authorized for 2015 by the U.S.
It is to use chemokine receptor 7 (CCR7), chondroitin sulfate proteoglycan 2 (CSPG2), IQ
Motif-containing GTPase activation protein 1 (IQGAP1), and orosomucoid 1 (ORM1) etc.
Mark detects cerebral arterial thrombosis.
Although verified routine blood indexes and blood biochemistry index and risk of stroke have significant phase for research both domestic and external
Pass relation, but predict risk of stroke at present at home and abroad or one using these routine physical examinations and the physiochemical indice checked
Blank.
The content of the invention：
It is simple and easy to apply it is a primary object of the present invention to provide one, the high risk of stroke monitoring system of accuracy, side
High risk group is helped not suffer from cerebral apoplexy, so as to reduce the incidence of disease of cerebral apoplexy.The scale for assessing risk of stroke at present is most of
It is to be directed to cerebral apoplexy and Nonvalvular atrial fibrillation patient, for assessing improvement version that normal person suffers from risk of stroke not Framingham
Stroke Scale, has only used 8 predictive variables, not comprising the routine blood indexes and blood biochemistry for having close association with risk of stroke
Index.The Chinese stroke patients past illustrates to assess cerebral apoplexy at present over 25 years with the speed increase every year on average more than 8%
The scale of risk is ineffective.The present invention is worth extractive technique by means of the prognosis modelling and big data of artificial intelligence, is
Mankind's self-monitoring and remote cerebral apoplexy are provided and wished.
Technical scheme is as follows：
One kind include user provide data, data management, risk of stroke prediction, risk of stroke predict the outcome analysis and
Risk of stroke predict the outcome analysis report generation and present intelligent risk of stroke monitoring method, specifically include following step
Suddenly：
1. user provides data：User's using terminal equipment includes computer, and mobile phone, tablet personal computer passes through network (internet
And mobile network) connection the cloud computing server personal information (including the age, property that are provided for intelligence risk of stroke monitoring system
Not, blood pressure, height, body weight and constitutional index etc.), blood routine and blood biochemistry data.
2. data management：The health examination provided user, physical examination or medical personal information (including the age, sex, blood
Pressure, height, body weight and constitutional index etc.), blood routine and blood biochemistry data are integrated and changed according to forecast analysis requirement.
3. risk of stroke is predicted：Intelligent risk of stroke monitoring system uses personal information (including age, sex, blood
Pressure, height, body weight and constitutional index etc.), blood routine and blood biochemistry data set up risk of stroke predictive mode, are carried according to user
The personal information (including age, sex, blood pressure, height, body weight and constitutional index etc.) of confession, blood routine and blood biochemistry data are carried out
Risk of stroke is predicted.
The analysis 4. risk of stroke predicts the outcome：Intelligent risk of stroke monitoring system predicts the outcome according to risk of stroke
Risk of stroke analysis and evaluation is carried out to user.
Analysis report generation and presentation 5. risk of stroke predicts the outcome：Intelligent risk of stroke monitoring system is according to prediction
The method for generating and being presented to the risk of stroke analysis and evaluation report of user with analysis and evaluation result.
A kind of intelligent risk of stroke monitoring system includes one or more and carries internal memory and CPU processor, data management mould
The cloud computing system of block, predictive mode module, real time analysis module and analysis report module, specifically includes following steps：
1. data management module：Gather user health inspection, physical examination, or medical personal information (including the age, sex,
Blood pressure, height, body weight and constitutional index etc.), blood routine and blood biochemistry data.
2. forecast model module：Using 1 or multiple forecast model according to user health inspection, physical examination, or medical individual
Information (including age, sex, blood pressure, height, body weight and constitutional index etc.), blood routine and blood biochemistry data carry out cerebral apoplexy wind
Danger prediction.
3. real time analysis module：Health examination is provided according to user, physical examination, or medical personal information (including the age, property
Not, blood pressure, height, body weight and constitutional index etc.), blood routine and blood biochemistry data and predict the outcome cerebral apoplexy wind is carried out to user
Dangerous analysis and evaluation.
4. analysis report module：According to predicting the outcome and real time analysis module for data management module forecast model module
Analysis and evaluation result generates and is presented to the risk of stroke analysis result information of user.
The scale for assessing risk of stroke at present is largely to be directed to cerebral apoplexy and Nonvalvular atrial fibrillation patient, is used
In assessing the improvement version not Framingham Stroke Scale that normal person suffers from risk of stroke, 8 predictive variables are only used, have not been included and brain
Palsy risk has the routine blood indexes and blood biochemistry index of close association, and all assessments and monitoring are all by medical institutions
Management is controlled with doctor, user oneself can not carry out risk of stroke monitoring.The present invention utilizes user health inspection,
Physical examination, or medical personal information (including age, sex, blood pressure, height, body weight and constitutional index etc.), blood routine and blood life
Changing data helps user and doctor to carry out risk of stroke monitoring, and the present invention is an intelligent cerebral apoplexy for filling up domestic and international blank
Risk monitoring and control technology.
Brief description of the drawings：
Fig. 1 (100) shows a user, by a terminal device, by network, connects cloud computing system, uses intelligence
Energy risk of stroke monitoring system carries out the flow of risk of stroke monitoring.
Fig. 2 (200) shows to input personal information, blood routine and blood life after the intelligent risk of stroke monitoring system of User logs in
Change data, cloud computing data-base recording stores these data, then by file used in the data conversion into forecast analysis of storage
Flow.
Fig. 3 (300) shows intelligent risk of stroke monitoring system called data file, integrates processing data, prediction brain soldier
Risk, the flow that predict the outcome analysis and risk of stroke analysis result information are generated.
Fig. 4 (400) shows that intelligent risk of stroke monitoring system, according to prediction and analysis and evaluation result, generates cerebral apoplexy wind
Danger, which predicts the outcome, analysis and evaluation report and to be presented the risk of stroke analysis and evaluation that predicts the outcome and reports flow to user.
Fig. 5 (500) shows that intelligent risk of stroke monitoring system provides health examination, physical examination from User logs in, or goes to a doctor
Personal information (including age, sex, blood pressure, height, body weight and constitutional index etc.), blood routine and blood biochemistry data, to number
According to conversion is integrated, risk of stroke predicts that predict the outcome analysis and evaluation, and analysis and evaluation result report generation and user finally obtain
Real-time analysis and evaluation result report carries out the flow of risk of stroke monitoring.
Embodiment：
In order that the purpose of the present invention, technical scheme and innovative point are simpler understandable, it is below in conjunction with the accompanying drawings and specific real
Mode is applied, the present invention is further elaborated on.Before elaboration, there is any to think illustratively, tool disclosed below
Body embodiment is only intended to explain the present invention, is not intended to limit the invention.
Fig. 1 (100) shows the system architecture of intelligent risk of stroke monitoring system, and user 102 can appoint at any time
Where side, use can connect the mobile phone of internet or mobile network, tablet personal computer, intelligent television, notebook computer, desktop computer,
Or the terminal device 104 such as server, by network 106, connect the cloud computing system 108 being made up of multiple servers.Cloud computing
System 108 includes intelligent risk of stroke monitoring system 116, and intelligent risk of stroke monitoring system 116 is the (interconnection of a network
Net or mobile network) platform (contain wechat, APP and website etc.), including user's registration, log in there is provided personal information (including age,
Sex, blood pressure, height, body weight and constitutional index etc.), blood routine and blood biochemistry data, data acquisition show analysis result report
Accuse, correlation prompting, or other guide.For example, user 102 can climb up one or more network platforms (such as by network 106
Wechat, APP and website etc.), intelligent risk of stroke monitoring system 116 is connected to, input health examination, physical examination is logged in, or go to a doctor
Personal information (including age, sex, blood pressure, height, body weight and constitutional index etc.), after blood routine and blood biochemistry data, obtain
Risk of stroke analysis and evaluation of coring report carries out risk of stroke monitoring.
CPU processor 112 and internal memory 114 in cloud computing system 108 are to provide risk of stroke monitoring for user 102
Basis.Intelligent risk of stroke monitoring system 116, data management module 118, forecast model module 120, real time analysis module
122 and analysis report module 124 be all deposited in cloud computing system 108.
Embodiment 1：The mobile phone of 102 using terminal equipment of user 104, by mobile network 106, connects cloud computing system 108
In mobile network platform (such as wechat, APP etc.), logging in intelligent risk of stroke monitoring system 116, there is provided health examination, body
Inspection, or medical personal information (including age, sex, blood pressure, height, body weight and constitutional index etc.), blood routine and blood biochemistry
Data, obtain the report of risk of stroke analysis and evaluation and carry out risk of stroke monitoring.
Embodiment 2：The tablet personal computer of 102 using terminal equipment of user 104, by mobile network 106, connects cloud computing system
Mobile network platform (such as wechat, APP etc.) in 108, logs in intelligent risk of stroke monitoring system 116 there is provided health examination,
Physical examination, or medical personal information (including age, sex, blood pressure, height, body weight and constitutional index etc.), blood routine and blood life
Change data, obtain the report of risk of stroke analysis and evaluation and carry out risk of stroke monitoring.
Embodiment 3：The intelligent television of 102 using terminal equipment of user 104, by internet 106, connects cloud computing system
The network platform (such as wechat, APP etc.) in 108, logging in intelligent risk of stroke monitoring system 116, there is provided health examination, body
Inspection, or medical personal information (including age, sex, blood pressure, height, body weight and constitutional index etc.), blood routine and blood biochemistry
Data, obtain the report of risk of stroke analysis and evaluation and carry out risk of stroke monitoring.
Embodiment 4：The notebook computer of 102 using terminal equipment of user 104, passes through internet 106, connection cloud computing system
The network platform (such as website) in system 108, logs in intelligent risk of stroke monitoring system 116 there is provided health examination, physical examination,
Or medical personal information (including age, sex, blood pressure, height, body weight and constitutional index etc.), blood routine and blood biochemistry number
According to the analysis and evaluation report of acquisition risk of stroke carries out risk of stroke monitoring.
Embodiment 5：The desktop computer of 102 using terminal equipment of user 104 (contains server), passes through internet 106, connection
The network platform (such as website) in cloud computing system 108, logging in intelligent risk of stroke monitoring system 116, there is provided health inspection
Look into, physical examination, or medical personal information (including age, sex, blood pressure, height, body weight and constitutional index etc.), blood routine and blood
Physicochemical data, obtains the report of risk of stroke analysis and evaluation and carries out risk of stroke monitoring.
Fig. 2 (200) inputs health examination, physical examination after showing the intelligent risk of stroke monitoring system of User logs in, or goes to a doctor
Personal information (including age, sex, blood pressure, height, body weight and constitutional index etc.), blood routine and blood biochemistry data, cloud meter
These data of calculation database record storage, then by the flow of file used in the data conversion into forecast analysis of storage.User 102
The intelligent risk of stroke monitoring system 116 of login (accessing the user of website first needs just log in after registering), user is to obtain
Take newest risk of stroke analysis and evaluation to report, the last health examination, physical examination or medical personal information must be provided
(including age, sex, blood pressure, height, body weight and constitutional index etc.), blood routine and blood biochemistry data.
Userspersonal information 202 includes age, sex, blood pressure, height, the information such as body weight and constitutional index；Blood routine number
Include red blood cell according to 204, leucocyte, packed cell volume, lymphocyte absolute value, cent lymphocytes, neutrophil leucocyte is exhausted
To value, neutrophil leucocyte percentage, mean platelet volume, monocyte absolute value, monocyte percentage, acidophil is absolute
Value, acidophil percentage, basocyte absolute value, mean corpuscular hemoglobin, RDW (CV) is blood red
Albumen, platelet count, MPW, mean corpuscular hemoglobin concentration (MCHC), mean platelet volume is average red thin
The data such as cell space product；Blood biochemistry data 206 include albumin, glutamic-pyruvic transaminase, glutamic-oxalacetic transaminease, gamma glutamyl transpeptidase, always
Bilirubin, urea nitrogen, creatinine, uric acid, glucose, T-CHOL, triglyceride, HDL-C, low density lipoprotein
Protein cholesterol, aPoA, the data such as apolipoprotein B.
Personal information that the automatic record storage user 102 of cloud computing database 210 provides (including blood pressure, height, body weight and
Constitutional index etc.) 202, blood routine data 204 and blood biochemistry data 206.Then cloud computing database 210 is according to prediction and analyzes
Requirement generation personal information (including age, sex, blood pressure, height, body weight and constitutional index etc.) file of required file, blood is normal
Advise data file and blood biochemistry data file.
Embodiment 6：Personal information (including age, sex, blood pressure, height, body weight and constitutional index that user 102 provides
Deng) sex in 202 is man, the age is 52 years old, height 178cm, and body weight is 75kg etc., blood routine data 204 and blood biochemistry number
Health examination is pressed according to 206, physical examination or medical report are filled in.
Embodiment 7：Personal information (including age, sex, blood pressure, height, body weight and constitutional index that user 102 provides
Deng) sex in 202 is female, the age is 45 years old, height 165cm, and body weight is 51kg etc., blood routine data 204 and blood biochemistry number
Health examination is pressed according to 206, physical examination or medical report are filled in.
Personal information (including age, sex, blood pressure, height, body weight and constitutional index is mainly described in embodiment 6 and 7
Deng) sex in 202 and the difference at age, different sexes and the user at age, the report of its risk of stroke analysis and evaluation result
Announcement is different.
Fig. 3 (300) shows the called data file 212 of data management module 118 in cloud computing system 108, and data are carried out
Integrate, forecast model module 120 is supplied to after processing and conversion, forecast model module 120 calls in forecast model 302, carries out brain
Palsy risk profile, 122 pairs of prediction score values of real time analysis module carry out analysis comparative evaluation, analysis result information module 124
It is predicted that generating the flow of risk of stroke analysis and evaluation result report with analysis and evaluation result.Fig. 3 (300) is Fig. 2 (200)
Continue.
The main task of data management module 118 is personal information (including age, property by the file of 4 different contents
Not, blood pressure, height, body weight and constitutional index etc.) file, blood routine data file and blood biochemistry data file are according to personal code work
(ID) it is integrated into a file, processing feedback is carried out to the data that mistake is filled out and failed to fill in, necessary data conversion is then carried out, such as divided
Number, logarithm or square root conversion.
Forecast model module 120 is mainly the data provided by the formula of forecast model 302 data management module 118
File carries out computing, calculates probability and score value that user suffers from cerebral apoplexy.Forecast model 302 is logistic regression analysis
(Logistic Regression Analysis), its expression formula is
a1：Y=logit (p)=alpha+beta 1X1+ β 2X2+...+ β nXn；
With
Wherein y is dependent variable, and X is independent variable, and p is probability, and α is intercept (constant), and β is regression coefficient, and Exp is exponential function.
Forecast model 302 includes risk of stroke forecast model.Forecast model 302 passes through to 21091 patients with cerebral apoplexy
With 591861 normal person's personal information (including age, sex, blood pressure, height, body weight and constitutional index etc.) data 202, blood
The analysis contrast of routine data 204 and blood biochemistry data 206, logic-based regression analysis (Logistic Regression
Analysis risk of stroke forecast model) is established.After forecast model 302 is built up, by 7-12 month clinical datas in 2016
Checking, clinical data include 6000 patients with cerebral apoplexy and 80000 normal persons, the risk of stroke forecast model built up
Rate of accuracy reached to 98%, clinical verification accuracy rate is 96%.
Real time analysis module 122 suffers from the user that forecast model module 120 is calculated probability and the prediction of risk of stroke
The probability of the patients with cerebral apoplexy stored in model 302 carries out analysis comparative evaluation in real time, and there is provided suffer from risk of stroke possibility
Analysis and evaluation result.
Personal information that analysis result information module 124 is provided according to data file 212 (including the age, sex, blood pressure,
Height, body weight and constitutional index etc.), point that the prediction score value and real time analysis module 122 that forecast model module 120 is provided are provided
Analyse assessment result, the analysis and evaluation result report of generation risk of stroke.
Fig. 4 (400) shows that the analysis report module 124 in cloud computing system 108 is monitored by intelligent risk of stroke
Flow of the risk of stroke analysis result information to user 102 is presented in system 116, and Fig. 4 (400) is the continuity of Fig. 3 (300).
Personal information that analysis report module 124 is provided according to data file 212 (including the age, sex, blood pressure, height,
Body weight and constitutional index etc.), the analysis that the prediction score value and real time analysis module 122 that forecast model module 120 is provided are provided is commented
Estimate result, then the analysis and evaluation result report of generation risk of stroke is presented on use by risk of stroke monitoring system 116
Family terminal device 104, user 102 can be preserved by printing, and the mode such as transmission obtains risk of stroke analysis and evaluation result report
Accuse.
Fig. 5 (500) shows that user obtains risk of stroke analysis result information using intelligent risk of stroke monitoring system
Carry out the flow of risk of stroke monitoring.
Square 502 show user 102 log in intelligent risk of stroke monitoring system 116 provide personal information (including age,
Sex, blood pressure, height, body weight and constitutional index etc.) 202, blood routine data 204 and blood biochemistry data 206.
Square 504 show personal information that data management module 118 provides user 102 (including age, sex, blood pressure,
Height, body weight and constitutional index etc.) file, blood routine data file and blood biochemistry data file are integrated and are converted into forecast analysis institute
The single data file needed.
Square 506 shows that the data file that forecast model module 120 is provided data management module 118 carries out computing, meter
Calculate the probability that user suffers from risk of stroke.
Square 508 shows that the user that forecast model module 120 is calculated is suffered from risk of stroke by real time analysis module 122
The probability of patients with cerebral apoplexy of the probability with being stored in forecast model 302 is contrasted in real time, and there is provided suffer from risk of stroke possibility
Analysis result.
Square 510 show personal information that analysis result information module 124 provides according to data file 212 (including age,
Sex, blood pressure, height, body weight and constitutional index etc.), prediction score value and real time analysis module that forecast model module 120 is provided
122 analysis results provided, generate risk of stroke analysis result information.
Claims (10)
1. one kind, which includes user, provides data, data analysis, risk of stroke prediction, predicting the outcome analysis and evaluation and predicts the outcome
Analysis and evaluation report generation and the intelligent risk of stroke monitoring method presented, it is characterised in that：Specifically include following steps：
(1) user provides data：User (including medical institutions) using terminal equipment include computer (including server), mobile phone,
Tablet personal computer connects the intelligent risk of stroke monitoring of cloud computing server by network (internet and mobile network) and provided
Personal information (including age, sex, blood pressure, height, body weight and constitutional index etc.), the method for blood routine and blood biochemistry data.
(2) data management：The health examination provided user, physical examination, or medical personal information (including the age, sex, blood
Pressure, height, body weight and constitutional index etc.), blood routine and blood biochemistry data are integrated and changed according to forecast analysis requirement.
(3) intelligent risk of stroke prediction：Intelligent risk of stroke forecast and monitor system uses personal information (including age, property
Not, blood pressure, height, body weight and constitutional index etc.), blood routine and blood biochemistry data set up intelligent risk of stroke forecast model,
The personal information (including age, sex, blood pressure, height, body weight and constitutional index etc.) provided according to user, blood routine and blood life
Change data and carry out risk of stroke prediction.
(4) risk of stroke predicts the outcome analysis and evaluation：Intelligent risk of stroke forecasting system is predicted according to risk of stroke and tied
Fruit carries out cardio-cerebral apoplexy risk analysis assessment to user.
(5) risk of stroke predict the outcome analysis and evaluation report generation and presentation：Intelligent risk of stroke monitoring system according to
Prediction and analysis and evaluation result generate and be presented to user risk of stroke predict the outcome analysis and evaluation report method.
2. intelligent risk of stroke monitoring system method according to claim 1, it is characterised in that in the step (1)
User is monitoring risk of stroke by logging in risk of stroke monitoring system, obtains data results report and provides personal
Information (including age, sex, blood pressure, height, body weight and constitutional index etc.), the method for blood routine and blood biochemistry data.
3. intelligent risk of stroke monitoring method according to claim 1, it is characterised in that will be used in the step (2)
The personal information (including age, sex, blood pressure, height, body weight and constitutional index etc.) that family is provided, blood routine and blood biochemistry data
The method for integrating data file needed for being converted into forecast analysis.
4. intelligent risk of stroke monitoring method according to claim 1, it is characterised in that the step (3) includes
Forecast model is set up, according to userspersonal information's (including age, sex, blood pressure, height, body weight and constitutional index etc.), blood is normal
Rule and blood biochemistry data prediction cardio-cerebral apoplexy risk, the method for helping user's self-monitoring risk of stroke.
5. intelligent risk of stroke monitoring method according to claim 1, it is characterised in that basis in the step (3)
Predict the outcome, the method that risk of stroke analysis and evaluation is carried out to user.
6. intelligent risk of stroke monitoring method according to claim 1, it is characterised in that intelligence in the step (4)
Risk of stroke monitoring system generates and is presented to the analysis result of user terminal displays device according to prediction and analysis and evaluation result
Report, correlation prompting, or the page with other guide.
7. a kind of intelligent risk of stroke monitoring system, it is characterised in that described system includes one or more and carries internal memory,
The cloud computing system of CPU processor is carried with lower module：
(1) data management module：Management userspersonal information (including the age, sex, blood pressure, height, body weight, constitutional index
Deng), blood routine and blood biochemistry data.
(2) forecast model module：Personal information that forecast model is provided according to user (including the age, sex, blood pressure, height, body
Weight and constitutional index etc.), the prediction of blood routine and blood biochemistry data to user's progress risk of stroke.
(3) real time analysis module：Progress that what analysis module was produced to forecast model module predict the outcome analysis comparative evaluation in real time.
(4) analysis report module：According to the analysis comparative evaluation knot predicted the outcome with real time analysis module of forecast model module
Fruit is presented to the risk of stroke analysis and evaluation result report of user.
8. system according to claim 6, it is characterised in that data management module is carried including user in the step (1)
For personal information (including age, sex, blood pressure, height, body weight and constitutional index etc.), blood routine and blood biochemistry data.
9. system according to claim 6, it is characterised in that in the step (2) forecast model module including the use of 1 or
Multiple forecast models are according to userspersonal information's (including age, sex, blood pressure, height, body weight and constitutional index etc.), blood routine
The prediction of risk of stroke is carried out to user with blood biochemistry data.
10. system according to claim 6, it is characterised in that prediction address module is according to data pipe in the step (4)
Manage the personal information (including age, sex, blood pressure, height, body weight and constitutional index etc.) that module user is provided, blood routine and blood
Physicochemical data, predict the outcome and the analysis and evaluation result of real time analysis module of forecast model module are presented to the cerebral apoplexy of user
Risk analysis assessment result.
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