CN105787232A - Data processing method, device, health system platform and terminal - Google Patents
Data processing method, device, health system platform and terminal Download PDFInfo
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Abstract
The invention provides a data processing method, a device, a health system platform and a terminal. The method comprises the steps that multiple daily sign parameters and/or behavior statistical parameters sent by a terminal user and/or multiple pieces of treatment information sent by a hospital system are acquired; according to one type or multiple types among the multiple daily sign parameters, the multiple behavior statistical parameters and the treatment information, the user is classified; and at least one key sign parameter of any type of user as well as a value range of the key sign parameter are obtained and sent to the terminal user. The scheme provided by the invention is characterized in that the multiple types of sign parameters of the different users and specific values of the sign parameters are detected; and in combination with the users' daily sign parameters and behavior statistical parameters, relations between the users' daily behaviors such as catering and sports and the key sign parameters are acquired, so that the users can be guided to making adjustments in relevant aspects.
Description
Technical field
The present invention relates to mobile health control technical field, particularly relate to a kind of data processing method, device, health system platform and terminal.
Background technology
At present, suffer from the people of chronic disease typically via the medicine of long-term taking doctor prescribed and diet and motion to treat their disease, rather than be in hospital undergoing treatment.But, when there is no extra help and information reminding, it is not easy to manage the disease under these situations.
A kind of Health management service system and method thereof as it is shown in figure 1, be in prior art, to chronic disease.The work process of this system is: mobile phone reads bar code, it is thus achieved that diet and medical information.Mobile phone sends information to server.Server is to the health management information of mobile terminal feedback user health status, such as the data that the bodily form, body constitution, menu, food etc. are correlated with.
As in figure 2 it is shown, be the user terminal apparatus schematic diagram of the another kind of health control performing user's customization, this system consists of: first device (mobile phone, wearable wrist-watch etc.) receives the behavioural information of user；Second device is authorized to arrange the terminal of the overseer of user behavior guide；3rd device and the 4th device are the terminals of server or another people having various interest.
The work process of this device is: first device receives the behavioral data of user, produces the behavioural information of user, and is transmitted to system server；User behavior guide is sent to system server by the second device；System server produces health care information by comparing behavioural information and Behavioral guidelines, and health care information is sent to first device, and user behavior information is sent to the second device.
It follows that the terminal units such as both the above scheme all available mobile phones constitute the Health management service system being connected with server.But, existing Mobile health management system is primarily present following two problem, and for the mobile health system for diabetics, its subject matter is:
Problem 1: the user to the different state of an illness, the individual physical sign parameters carrying out daily monitoring in mobile health control all uses identical physical signs, and these indexs are all based on medical therapy guide and doctor's clinical experience of country's promulgation substantially.As to diabetics, blood glucose (or also including blood pressure) is monitored by current index substantially.The not yet actual PD situation according to user, it is achieved multiple physical sign parameters and the concrete value of its physical sign parameters for different user detect.It is exemplified below.
As at present clinical, diabetics is divided into three major types: IGR, have diabetes but without complication and there are diabetes to have complication, additionally, microvascular complication and macrovascular complications also can be subdivided into.But, it has recently been demonstrated that different user, the key index affecting its state of an illness is different, and the span of these indexs is also different.Such as the user for there being microvascular complication, its blood glucose fluctuation is important independent effect index.For macrovascular complications user, analyzing and can find from the employing data to 165 patients, 65.4 years old age, contraction pressure 145.5 millimetress of mercury (mmHg), constitutional index (BMI) 21.5 Kilograms Per Square Meter, fasting glucose 9.6 mMs/every liter (mmol/L) and glycolated hemoglobin (HbA1c) 6.2% are marginal values.Therefore, when using mobile health system that user's sign is monitored, different monitoring index to be provided for them, and these monitoring indexes are controlled in rational scope.
Problem 2: after mobile terminal receives the regulation and control parameter specified, current system is simple blood sugar measured, dietary intake, quantity of motion, the medicining condition etc. recording user simply, the crucial sign Index that diet, motion and medicining condition control with needs is not combined, so the relation that cannot find between the daily behaviors such as user's diet, motion and crucial sign Index.
Summary of the invention
The technical problem to be solved in the present invention is to provide a kind of data processing method, device, health system platform and terminal, can detect for the concrete value of the multiple physical sign parameters of different user and its physical sign parameters, and the daily physical sign parameters and behavioral statistics parameter in conjunction with user obtains the relation between the daily behaviors such as user's diet, motion and crucial physical sign parameters.
In order to solve above-mentioned technical problem, the present invention adopts the following technical scheme that
According to one aspect of the present invention, it is provided that a kind of data processing method, including:
Obtain the multiple daily physical sign parameters of terminal use's transmission and/or multiple diagnosis information of behavioral statistics parameter and/or hospital system transmission；
According to one or more parameters in the plurality of daily physical sign parameters, behavioral statistics parameter and diagnosis information, user is classified；
Obtain at least one crucial physical sign parameters of any kind user, and the span of described crucial physical sign parameters be sent to terminal use.
Wherein, according to one or more parameters in the plurality of daily physical sign parameters, behavioral statistics parameter and diagnosis information, the step that user carries out classifying is included:
Kth classification point parameter A according to one or more parameter acquiring j-th stage in described daily physical sign parameters, behavioral statistics parameter and diagnosis informationjAnd the classification point value a of correspondencej, wherein j and k is positive integer；
According to described AjAnd ajUser is divided into first kind user and Equations of The Second Kind user；
According to one or more parameters in described daily physical sign parameters, behavioral statistics parameter and diagnosis information, obtain the classification point parameter A1 of the jth+1 grade of described first kind user and Equations of The Second Kind user respectivelyj+1And A2j+1And the classification point value a1 of correspondencej+1And a2j+1, wherein, A1j+1And A2j+1All different from the classification point parameter of the 1st grade～j-th stage；
According to described parameter A1j+1And A2j+1And the a1 of correspondencej+1And a2j+1Respectively first kind user and Equations of The Second Kind user are further divided into two classes.
Wherein, the kth classification point parameter A according to one or more parameter acquiring j-th stage in described daily physical sign parameters, behavioral statistics parameter and diagnosis informationjAnd the classification point value a of correspondencejStep include:
Listing one or more parameters in the plurality of daily physical sign parameters, behavioral statistics parameter and diagnosis information, i-th parameter is designated as Ai, i is positive integer；
According to the kth object function of the j-th stage preset, obtaining the target function value of all values of each parameter classified except some parameter except the 1st grade～jth-1 grade respectively, wherein k is positive integer；
From all target function values obtained, obtain maximum target functional value or parameter A corresponding to minimum target functional valuejAnd value aj。
Wherein, according to one or more parameters in described daily physical sign parameters, behavioral statistics parameter and diagnosis information, the classification point parameter A1 of the jth+1 grade of described first kind user and Equations of The Second Kind user is obtained respectivelyj+1And A2j+1And the classification point value a1 of correspondencej+1And a2j+1Step include:
According to m-th object function and n-th object function of the jth+1 grade preset, obtain the parameter A that described first kind user is corresponding with Equations of The Second Kind user respectivelyiThe target function value of all values, wherein, parameter AiIn do not include the classification point parameter that the 1st grade～j-th stage is corresponding, m and n is positive integer；
From the parameter A that the first kind user of described acquisition is corresponding with Equations of The Second Kind useriAll values target function value in, obtain maximum corresponding with Equations of The Second Kind user of first kind user or parameter A1 that minimum target functional value is corresponding respectivelyj+1And A2j+1And value a1j+1And a2j+1。
Wherein, it is thus achieved that at least one crucial physical sign parameters of any kind user, and the span of described crucial physical sign parameters be sent to the step of terminal use and include:
The state of an illness according to each type of user or health and fitness information select the crucial physical sign parameters of the type user from all classification point parameters of the type user, and as the marginal value of crucial physical sign parameters, the classification point value of the described classification point parameter selected is sent to terminal use.
According to another aspect of the present invention, additionally provide a kind of data processing method, including:
Obtain at least one crucial physical sign parameters of health system platform transmission and the span of crucial physical sign parameters；
Obtain the daily physical sign parameters of user and/or behavioral statistics parameter and/or diagnosis information；
According to one or more parameters in described daily physical sign parameters, behavioral statistics parameter and diagnosis information, it is thus achieved that the predictive value of described crucial physical sign parameters；
When the predictive value of arbitrary crucial physical sign parameters is outside the span of crucial physical sign parameters, send warning message to described health system platform and/or terminal.
Wherein, according to one or more parameters in described daily physical sign parameters, behavioral statistics parameter and diagnosis information, it is thus achieved that the step of the predictive value of described crucial physical sign parameters includes:
According to one or more parameters in described daily physical sign parameters, behavioral statistics parameter and diagnosis information, through Model Identification, determine rank and parameter estimation, Model Diagnosis inspection, setting up with one or more parameters in daily physical sign parameters, behavioral statistics parameter and diagnosis information for input, crucial physical sign parameters is autoregressive moving average (ARMA) model of output；
The described model set up is utilized to obtain the predictive value of described crucial physical sign parameters.
Wherein, before utilizing the described model set up to obtain the step of predictive value of described crucial physical sign parameters, described method also includes:
Before n-th day and include the value of the daily physical sign parameters of n-th day, a kind of parameter in behavioral statistics parameter and diagnosis information or many kinds of parameters and input in described model, obtaining the predictive value of the crucial physical sign parameters of (n+1)th day, wherein, n is positive integer；
If the difference of the actual test value of the crucial physical sign parameters of the predictive value of crucial physical sign parameters of (n+1)th day obtained and (n+1)th day does not meet preset standard, recalculate the relevant parameter of described model according to the actual test value of the crucial physical sign parameters of described (n+1)th day.
According to another aspect of the present invention, additionally providing a kind of data processing equipment, be applied to health system platform side, this device includes:
Acquisition module, multiple diagnosis information of multiple daily physical sign parameters and/or behavioral statistics parameter and/or hospital system transmission for obtaining terminal use's transmission；
Sort module, for classifying user according to one or more parameters in the plurality of daily physical sign parameters, behavioral statistics parameter and diagnosis information；
Data processing module, for obtaining at least one crucial physical sign parameters of any kind user, and the span of described crucial physical sign parameters be sent to terminal use.
Wherein, described sort module includes:
First acquiring unit, for the kth classification point parameter A according to one or more parameter acquiring j-th stage in described daily physical sign parameters, behavioral statistics parameter and diagnosis informationjAnd the classification point value a of correspondencej, wherein j and k is positive integer；
First taxon, for according to described AjAnd ajUser is divided into first kind user and Equations of The Second Kind user；
Second acquisition unit, for according to one or more parameters in described daily physical sign parameters, behavioral statistics parameter and diagnosis information, obtaining the classification point parameter A1 of the jth+1 grade of described first kind user and Equations of The Second Kind user respectivelyj+1And A2j+1And the classification point value a1 of correspondencej+1And a2j+1, wherein, A1j+1And A2j+1All different from the classification point parameter of the 1st grade～j-th stage；
Second taxon, for according to described parameter A1j+1And A2j+1And the a1 of correspondencej+1And a2j+1Respectively first kind user and Equations of The Second Kind user are further divided into two classes.
Wherein, described first acquiring unit is further used for:
Listing one or more parameters in the plurality of daily physical sign parameters, behavioral statistics parameter and diagnosis information, i-th parameter is designated as Ai, i is positive integer；
According to the kth object function of the j-th stage preset, obtaining the target function value of all values of each parameter classified except some parameter except the 1st grade～jth-1 grade respectively, wherein k is positive integer；
From all target function values obtained, obtain maximum target functional value or parameter A corresponding to minimum target functional valuejAnd value aj。
Wherein, described second acquisition unit is further used for:
According to m-th object function and n-th object function of the jth+1 grade preset, obtain the parameter A that described first kind user is corresponding with Equations of The Second Kind user respectivelyiThe target function value of all values, wherein, parameter AiIn do not include the sorting parameter that the 1st grade～j-th stage is corresponding, m and n is positive integer；
From the parameter A that the first kind user of described acquisition is corresponding with Equations of The Second Kind useriAll values target function value in, obtain maximum corresponding with Equations of The Second Kind user of first kind user or parameter A1 that minimum target functional value is corresponding respectivelyj+1And A2j+1And value a1j+1And a2j+1。
Wherein, described data processing module is further used for:
The state of an illness according to each type of user or health and fitness information select the crucial physical sign parameters of the type user from all classification point parameters of the type user, and as the marginal value of crucial physical sign parameters, the classification point value of the described classification point parameter selected is sent to terminal use.
According to another aspect of the present invention, additionally providing a kind of data processing equipment, be applied to end side, this device includes:
First acquisition module, the span of at least one crucial physical sign parameters and crucial physical sign parameters for obtaining the transmission of health system platform；
Second acquisition module, is used for obtaining the daily physical sign parameters of user and/or behavioral statistics parameter and/or diagnosis information；
Prediction module, for according to one or more parameters in described daily physical sign parameters, behavioral statistics parameter and diagnosis information, it is thus achieved that the predictive value of described crucial physical sign parameters；
Alarm module, during for the predictive value of arbitrary crucial physical sign parameters outside the span of crucial physical sign parameters, sends warning message to described health system platform and/or terminal.
Wherein, described prediction module includes:
Unit set up by model, for according to one or more parameters in described daily physical sign parameters, behavioral statistics parameter and diagnosis information, through Model Identification, determine rank and parameter estimation, Model Diagnosis inspection, setting up with one or more parameters in daily physical sign parameters, behavioral statistics parameter and diagnosis information for input, crucial physical sign parameters is the arma modeling of output；
Predictive value acquiring unit, for utilizing the described model of foundation to obtain the predictive value of described crucial physical sign parameters.
Described prediction module also includes:
Optimize unit, for by before n-th day and include the value of the daily physical sign parameters of n-th day, a kind of parameter in behavioral statistics parameter and diagnosis information or many kinds of parameters and input in described model, obtaining the predictive value of the crucial physical sign parameters of (n+1)th day, wherein, n is positive integer；
If the difference of the actual test value of the crucial physical sign parameters of the predictive value of crucial physical sign parameters of (n+1)th day obtained and (n+1)th day does not meet preset standard, recalculate the relevant parameter of described model according to the actual test value of the crucial physical sign parameters of described (n+1)th day.
According to another aspect of the present invention, additionally provide a kind of health system platform, including the described above data processing equipment being applied to health system platform side.
According to another aspect of the present invention, additionally provide a kind of terminal, including the described above data processing equipment being applied to end side.
The invention has the beneficial effects as follows:
The data processing method of the present invention, it is achieved that for particular user, carries out personalized chronic diseases management.User is classified by health system platform according to a kind of parameter in multiple daily physical sign parameters, behavioral statistics parameter and diagnosis information or many kinds of parameters, and obtains personalized crucial physical sign parameters and the span thereof of each class user, and then is sent to terminal.In end side, set up the relation of crucial physical sign parameters and a kind of parameter in daily physical sign parameters, behavioral statistics parameter and diagnosis information or many kinds of parameters, obtain the predictive value of crucial physical sign parameters, and the personalized crucial physical sign parameters obtained with health system platform and span thereof compare, the impact that thus crucial physical sign parameters is likely to result in by prediction user's daily behavior.
Accompanying drawing explanation
Fig. 1 represents the principle schematic of a kind of Health management service system of the prior art and method thereof；
Fig. 2 represents the user terminal apparatus schematic diagram of the health control performing user's customization of the prior art；
Fig. 3 represents the schematic flow sheet of the data processing method of health system platform side in the embodiment of the present invention；
Fig. 4 represents the schematic flow sheet of the data processing method of end side in the embodiment of the present invention；
Fig. 5 represents the data processing equipment structured flowchart of health system platform side in the embodiment of the present invention；
The structured flowchart of Fig. 6 presentation class module；
Fig. 7 represents the data processing equipment structured flowchart of end side in the embodiment of the present invention；
Fig. 8 represents the structured flowchart of prediction module；
Fig. 9 represents the principle schematic that user is classified.
Detailed description of the invention
It is more fully described the exemplary embodiment of the disclosure below with reference to accompanying drawings.Although accompanying drawing showing the exemplary embodiment of the disclosure, it being understood, however, that may be realized in various forms the disclosure and should do not limited by embodiments set forth here.On the contrary, it is provided that these embodiments are able to be best understood from the disclosure, and complete for the scope of the present disclosure can be conveyed to those skilled in the art.
Embodiment one
An aspect according to the embodiment of the present invention, it is provided that a kind of data processing method, is applied to health system platform side, as it is shown on figure 3, the method includes:
Multiple diagnosis information that step S301, the multiple daily physical sign parameters obtaining terminal use's transmission and/or behavioral statistics parameter and/or hospital system send.
Wherein, daily physical sign parameters includes body temperature, body weight, heart beating, blood pressure and blood glucose etc. by wearable device or the parameter being manually entered into terminal；Behavioral statistics parameter includes user's medication information, motion conditions and diet information；Diagnosis information includes the essential information of user, and such as sex, age etc., and state of an illness information, and diagnosis information is typically stored in the related system of hospital outpatient and admissions office.
Step S303, according to one or more parameters in the plurality of daily physical sign parameters, behavioral statistics parameter and diagnosis information, user is classified.Namely when user is classified, daily physical sign parameters, behavioral statistics parameter and diagnosis information these three parameter, it is possible to have only to one of them, also can need multiple.
Wherein, adopt decision tree method user to be classified in embodiments of the present invention, it is of course possible to be understood by, user is carried out classification and is not limited to a kind of this method.
When adopting decision tree method, step S303 includes:
Kth classification point parameter A according to one or more parameter acquiring j-th stage in described daily physical sign parameters, behavioral statistics parameter and diagnosis informationjAnd the classification point value a of correspondencej, wherein j and k is positive integer；
According to described AjAnd ajUser is divided into first kind user and Equations of The Second Kind user；
According to one or more parameters in described daily physical sign parameters, behavioral statistics parameter and diagnosis information, obtain the classification point parameter A1 of the jth+1 grade of described first kind user and Equations of The Second Kind user respectivelyj+1And A2j+1And the classification point value a1 of correspondencej+1And a2j+1, wherein, A1j+1And A2j+1All different from the classification point parameter of the 1st grade～j-th stage；
According to described parameter A1j+1And A2j+1And the a1 of correspondencej+1And a2j+1Respectively first kind user and Equations of The Second Kind user are further divided into two classes.
In the process that user is classified, for the sorting parameter A1 of the jth+1 grade of first kind user and Equations of The Second Kind userj+1And A2j+1Can be identical parameter, it is possible to for different parameters.
Wherein, the kth classification point parameter A according to one or more parameter acquiring j-th stage in described daily physical sign parameters, behavioral statistics parameter and diagnosis informationjAnd the classification point value a of correspondencejStep include:
Listing one or more parameters in the plurality of daily physical sign parameters, behavioral statistics parameter and diagnosis information, i-th parameter is designated as Ai, i is positive integer；
According to the kth object function of the j-th stage preset, obtaining the target function value of all values of each parameter classified except some parameter except the 1st grade～jth-1 grade respectively, wherein k is positive integer；
From all target function values obtained, obtain maximum target functional value or parameter A corresponding to minimum target functional valuejAnd value aj。
Specifically, when j is equal to 1, represent when obtaining the classification point parameter of the 1st grade, it is necessary to calculate the target function value of all values of all parameters, and therefrom select maximum target functional value or parameter corresponding to minimum target functional value and value thereof.
When j is more than 1, if j is equal to 3, obtain the target function value of all values of each parameter classified except some parameter except the 1st grade～the 2nd grade respectively.Represent when obtaining the classification point parameter of 3rd level, the all classification point parameters by the 1st grade and the 2nd grade are needed to remove from listed all parameters, and obtain the target function value of all values of remaining all parameters, and therefrom select maximum target functional value or parameter corresponding to minimum target functional value and value thereof.
Wherein, according to one or more parameters in described daily physical sign parameters, behavioral statistics parameter and diagnosis information, the classification point parameter A1 of the jth+1 grade of described first kind user and Equations of The Second Kind user is obtained respectivelyj+1And A2j+1And the classification point value a1 of correspondencej+1And a2j+1Step include:
According to m-th object function and n-th object function of the jth+1 grade preset, obtain the parameter A that described first kind user is corresponding with Equations of The Second Kind user respectivelyiThe target function value of all values, wherein, parameter AiIn do not include the classification point parameter that the 1st grade～j-th stage is corresponding, m and n is positive integer；
From the parameter A that the first kind user of described acquisition is corresponding with Equations of The Second Kind useriAll values target function value in, obtain maximum corresponding with Equations of The Second Kind user of first kind user or parameter A1 that minimum target functional value is corresponding respectivelyj+1And A2j+1And value a1j+1And a2j+1。
Can be identical function between each object function needed for obtaining each classification point parameter, it is possible to for different functions, it is determined by actual concrete condition.
Specifically, as it is shown in figure 9, when adopting decision Tree algorithms that diabetes have the patient of macrovascular complications be analyzed, first list all parameters, such as the age, shrink pressure etc., then preset one and select standard, i.e. the first aim function of the 1st grade.Then, select certain parameter (such as the age), and select certain value (such as 50 years old) within the scope of this parameter value, then calculate object function now；Adjust the value (as selected 55 years old age) of this parameter afterwards, calculate corresponding object function.Using such method travel through this parameter the target function value of likely value and correspondence thereof.Afterwards, select another one parameter (as shunk pressure), travel through its all of value, and calculate the object function corresponding to each value；……；According to this process, travel through all of parameter, and calculate its corresponding target function value.Finally select the parameter corresponding to object function maximum or minima and value thereof, as classification point now, and according to this value, user is divided into two classes.Then according to above-mentioned flow process, classification is continued, until classification results meets the expected requirements.
Step S305, obtain at least one crucial physical sign parameters of any kind user, and the span of described crucial physical sign parameters be sent to terminal use.
Wherein, these crucial physical sign parameters and spans thereof that health system platform side analyzes, final examination & verification will be carried out by doctor or expert.In examination & verification by rear, these parameters and span thereof will be sent to terminal use.
Concrete methods of realizing for step S305, the embodiment of the present invention adopt the related data obtained in above-mentioned decision tree method realize, it is appreciated of course that, obtain at least one crucial physical sign parameters of any kind user, and the method for the span of described crucial physical sign parameters is also not limited to this.
Specifically step S305 includes:
The state of an illness according to each type of user or health and fitness information select the crucial physical sign parameters of the type user from all classification point parameters of the type user, and as the marginal value of crucial physical sign parameters, the classification point value of the described classification point parameter selected is sent to terminal use.
Specifically, for example, as it is shown in figure 9, for a certain class disease, crucial physical sign parameters is that the span shrinking pressure of the age user more than 50 years old is for more than a value.
Additionally, for through the sorted user of step S303, the crucial physical sign parameters of its different types of user can be different, and the span of crucial physical sign parameters is also different.Such as, having the user of microvascular complication, its blood glucose fluctuation is important independent effect index；For macrovascular complications user, fasting glucose, HbA1C, blood pressure and BMI are the crucial physical sign parameters of such user.
Embodiment two
According to another aspect of the present invention, additionally providing a kind of data processing method, be applied to end side, as shown in Figure 4, the method includes:
Step S401, obtain the span of at least one crucial physical sign parameters that health system platform sends and crucial physical sign parameters.
Wherein, crucial physical sign parameters and span thereof are sent to terminal use by health system platform after being obtained, and the quantity of the crucial physical sign parameters of different types of user and span thereof all can be different.
Step S403, the daily physical sign parameters obtaining user and/or behavioral statistics parameter and/or diagnosis information.
Wherein, daily physical sign parameters includes body temperature, body weight, heart beating, blood pressure and blood glucose etc. by wearable device or the parameter being manually entered into terminal；Behavioral statistics parameter includes user's medication information, motion conditions and diet information, and stores typically via being manually entered in terminal unit.
Step S405, according to one or more parameters in described daily physical sign parameters, behavioral statistics parameter and diagnosis information, it is thus achieved that the predictive value of described crucial physical sign parameters.
Alternatively, step S405 includes:
According to one or more parameters in described daily physical sign parameters, behavioral statistics parameter and diagnosis information, through Model Identification, determine rank and parameter estimation, Model Diagnosis inspection, setting up with one or more parameters in daily physical sign parameters, behavioral statistics parameter and diagnosis information for input, crucial physical sign parameters is the arma modeling of output；
The described model set up is utilized to obtain the predictive value of described crucial physical sign parameters.
The embodiment of the present invention obtains the predictive value of multiple crucial physical sign parameters by setting up arma modeling, it is, of course, understood that be not limited to this kind of model or method realizes the prediction to crucial physical sign parameters.
Alternatively, before utilizing the described model set up to obtain the step of predictive value of described crucial physical sign parameters, described method also includes:
Before n-th day and include the value of the daily physical sign parameters of n-th day, a kind of parameter in behavioral statistics parameter and diagnosis information or many kinds of parameters and input in described model, obtaining the predictive value of the crucial physical sign parameters of (n+1)th day, wherein, n is positive integer；
If the difference of the actual test value of the crucial physical sign parameters of the predictive value of crucial physical sign parameters of (n+1)th day obtained and (n+1)th day does not meet preset standard, recalculate the relevant parameter of described model according to the actual test value of the crucial physical sign parameters of described (n+1)th day.
Specifically, it is example in order to carrying out blood glucose prediction with the arma modeling in time series analysis, through Model Identification, determines rank and the step such as parameter estimation, Model Diagnosis inspection, the forecast model of blood glucose value can be obtained.
When assuming parameter that blood glucose value is influential for previously blood glucose value and pressure value, to the predictor formula of blood glucose value it is: X (n)=A then1X(n-1)+A2X(n-2)+…+APX(n-p)+B1Y(n-1)+B2Y(n-2)+…+BqY(n-q).Wherein, X (t) is the blood glucose value of t day, and Y (t) is the pressure value of t day.p、q、Ai(i=1,2 ..., p) and Bi(i=1,2 ..., q) be it needs to be determined that coefficient.
p、q、Ai(i=1,2 ..., p) and Bi(i=1,2 ..., defining method q) is: the X (t) utilizing newly obtain every day and Y (t) value, by calculating auto-correlation function and deviation-related function, it is determined that p, q, the A in above-mentioned formulai(i=1,2 ..., p) and Bi(i=1,2 ..., q) value.Then computation model X (n)=A1X(n-1)+A2X(n-2)+…+APX(n-p)+B1Y(n-1)+B2Y(n-2)+…+BqThe residual sequence of Y (n-q).If residual sequence is white noise sequence, with regard to deconditioning, formula now is exactly the model of these data；Otherwise just proceed training according to subsequent sampling value.
After obtaining above-mentioned model, utilize the user blood glucose and pressure value that collected the same day, so that it may dope the blood glucose value of second day user.
Step S407, arbitrary crucial physical sign parameters predictive value outside the span of crucial physical sign parameters time, send warning message to described health system platform and/or terminal.
In end side, when obtaining the predictive value of crucial physical sign parameters, first it is respectively established for crucial physical sign parameters, the input of model is a kind of parameter in daily physical sign parameters, behavioral statistics parameter and diagnosis information or many kinds of parameters (being the body temperature of user, body weight, blood glucose, blood pressure, motion conditions, diet and medicining condition etc.), and model is output as the predictive value of crucial physical sign parameters.For this model, after first foundation, according to conventional truthful data, if the crucial physical sign parameters predictive value of output and legitimate reading gap are relatively big, then need this model is trained.
When the user data being used for training is abundant, when model training realizes enough accuracy, then this model is utilized to obtain the predictive value of crucial physical sign parameters.Now, will after the daily physical sign parameters of user on current (such as the same day or may also comprise a few days ago) and the data input model of behavioral statistics parameter, model can export the predictive value of the crucial physical sign parameters of (such as second day) in the future.If the predictive value of these crucial physical sign parameters is beyond the zone of reasonableness of health system platform suggestion, then terminal can send warning information to user and platform.
Embodiment three
According to another aspect of the embodiment of the present invention, additionally provide a kind of data processing equipment, be applied to health system platform side, as it is shown in figure 5, this device 500, including:
Acquisition module 501, multiple diagnosis information of multiple daily physical sign parameters and/or behavioral statistics parameter and/or hospital system transmission for obtaining terminal use's transmission；
Sort module 503, for classifying user according to one or more parameters in the plurality of daily physical sign parameters, behavioral statistics parameter and diagnosis information；
Data processing module 505, for obtaining at least one crucial physical sign parameters of any kind user, and the span of described crucial physical sign parameters be sent to terminal use.
Alternatively, as shown in Figure 6, sort module 503 includes:
First acquiring unit 5031, for the kth classification point parameter A according to one or more parameter acquiring j-th stage in described daily physical sign parameters, behavioral statistics parameter and diagnosis informationjAnd the classification point value a of correspondencej, wherein j and k is positive integer；
First taxon 5032, for according to described AjAnd ajUser is divided into first kind user and Equations of The Second Kind user；
Second acquisition unit 5033, for according to one or more parameters in described daily physical sign parameters, behavioral statistics parameter and diagnosis information, obtaining the classification point parameter A1 of the jth+1 grade of described first kind user and Equations of The Second Kind user respectivelyj+1And A2j+1And the classification point value a1 of correspondencej+1And a2j+1, wherein, A1j+1And A2j+1All different from the classification point parameter of the 1st grade～j-th stage；
Second taxon 5034, for according to described parameter A1j+1And A2j+1And the a1 of correspondencej+1And a2j+1Respectively first kind user and Equations of The Second Kind user are further divided into two classes.
Alternatively, the first acquiring unit 5031 is further used for:
Listing one or more parameters in the plurality of daily physical sign parameters, behavioral statistics parameter and diagnosis information, i-th parameter is designated as Ai, i is positive integer；
According to the kth object function of the j-th stage preset, obtaining the target function value of all values of each parameter classified except some parameter except the 1st grade～jth-1 grade respectively, wherein k is positive integer；
From all target function values obtained, obtain maximum target functional value or parameter A corresponding to minimum target functional valuejAnd value aj。
Alternatively, second acquisition unit 5033 is further used for:
According to m-th object function and n-th object function of the jth+1 grade preset, obtain the parameter A that described first kind user is corresponding with Equations of The Second Kind user respectivelyiThe target function value of all values, wherein, parameter AiIn do not include the sorting parameter that the 1st grade～j-th stage is corresponding, m and n is positive integer；
From the parameter A that the first kind user of described acquisition is corresponding with Equations of The Second Kind useriAll values target function value in, obtain maximum corresponding with Equations of The Second Kind user of first kind user or parameter A1 that minimum target functional value is corresponding respectivelyj+1And A2j+1And value a1j+1And a2j+1。
Alternatively, data process mould 505 pieces is further used for:
The state of an illness according to each type of user or health and fitness information select the crucial physical sign parameters of the type user from all classification point parameters of the type user, and as the marginal value of crucial physical sign parameters, the classification point value of the described classification point parameter selected is sent to terminal use.
Embodiment four
According to another aspect of the embodiment of the present invention, additionally provide a kind of data processing equipment, be applied to end side, as it is shown in fig. 7, this device 700, including:
First acquisition module 701, the span of at least one crucial physical sign parameters and crucial physical sign parameters for obtaining the transmission of health system platform；
Second acquisition module 703, is used for obtaining the daily physical sign parameters of user and/or behavioral statistics parameter and/or diagnosis information；
Prediction module 705, for according to one or more parameters in described daily physical sign parameters, behavioral statistics parameter and diagnosis information, it is thus achieved that the predictive value of described crucial physical sign parameters；
Alarm module 707, during for the predictive value of arbitrary crucial physical sign parameters outside the span of crucial physical sign parameters, to described health system platform and/or send warning message.
Alternatively, as shown in Figure 8, described prediction module 705 includes:
Unit 7051 set up by model, for according to one or more parameters in described daily physical sign parameters, behavioral statistics parameter and diagnosis information, through Model Identification, determine rank and parameter estimation, Model Diagnosis inspection, setting up with one or more parameters in daily physical sign parameters, behavioral statistics parameter and diagnosis information for input, crucial physical sign parameters is the arma modeling of output；
Predictive value acquiring unit 7053, for utilizing the described model of foundation to obtain the predictive value of described crucial physical sign parameters.
Alternatively, described prediction module 705 also includes:
Optimize unit 7052, for by before n-th day and include the value of the daily physical sign parameters of n-th, a kind of parameter in behavioral statistics parameter and diagnosis information or many kinds of parameters and input in described model, obtaining the predictive value of the crucial physical sign parameters of (n+1)th day, wherein, n is positive integer；
If the difference of the actual test value of the crucial physical sign parameters of the predictive value of crucial physical sign parameters of (n+1)th day obtained and (n+1)th day does not meet preset standard, recalculate the relevant parameter of described model according to the actual test value of the crucial physical sign parameters of described (n+1)th day.
Embodiment five
According to another aspect of the embodiment of the present invention, additionally provide a kind of health system platform, including the described above data processing equipment being applied to health system platform side.
Embodiment six
According to another aspect of the embodiment of the present invention, additionally provide a kind of terminal, including the described above data processing equipment being applied to end side.
Above-described is the preferred embodiment of the present invention; should be understood that the ordinary person for the art; can also making some improvements and modifications under without departing from principle premise of the present invention, these improvements and modifications are also in protection scope of the present invention.
Claims (18)
1. a data processing method, it is characterised in that including:
Obtain the multiple daily physical sign parameters of terminal use's transmission and/or multiple diagnosis information of behavioral statistics parameter and/or hospital system transmission；
According to one or more parameters in the plurality of daily physical sign parameters, behavioral statistics parameter and diagnosis information, user is classified；
Obtain at least one crucial physical sign parameters of any kind user, and the span of described crucial physical sign parameters be sent to terminal use.
2. the method for claim 1, it is characterised in that the step that user carries out classifying is included according to one or more parameters in the plurality of daily physical sign parameters, behavioral statistics parameter and diagnosis information:
Kth classification point parameter A according to one or more parameter acquiring j-th stage in described daily physical sign parameters, behavioral statistics parameter and diagnosis informationjAnd the classification point value a of correspondencej, wherein j and k is positive integer；
According to described AjAnd ajUser is divided into first kind user and Equations of The Second Kind user；
According to one or more parameters in described daily physical sign parameters, behavioral statistics parameter and diagnosis information, obtain the classification point parameter A1 of the jth+1 grade of described first kind user and Equations of The Second Kind user respectivelyj+1And A2j+1And the classification point value a1 of correspondencej+1And a2j+1, wherein, A1j+1And A2j+1All different from the classification point parameter of the 1st grade～j-th stage；
According to described parameter A1j+1And A2j+1And the a1 of correspondencej+1And a2j+1Respectively first kind user and Equations of The Second Kind user are further divided into two classes.
3. method as claimed in claim 2, it is characterised in that according to the kth of one or more parameter acquiring j-th stage in described daily physical sign parameters, a behavioral statistics parameter and diagnosis information classification point parameter AjAnd the classification point value a of correspondencejStep include:
Listing one or more parameters in the plurality of daily physical sign parameters, behavioral statistics parameter and diagnosis information, i-th parameter is designated as Ai, i is positive integer；
According to the kth object function of the j-th stage preset, obtaining the target function value of all values of each parameter classified except some parameter except the 1st grade～jth-1 grade respectively, wherein k is positive integer；
From all target function values obtained, obtain maximum target functional value or parameter A corresponding to minimum target functional valuejAnd value aj。
4. method as claimed in claim 3, it is characterised in that according to one or more parameters in described daily physical sign parameters, behavioral statistics parameter and diagnosis information, obtain the classification point parameter A1 of the jth+1 grade of described first kind user and Equations of The Second Kind user respectivelyj+1And A2j+1And the classification point value a1 of correspondencej+1And a2j+1Step include:
According to m-th object function and n-th object function of the jth+1 grade preset, obtain the parameter A that described first kind user is corresponding with Equations of The Second Kind user respectivelyiThe target function value of all values, wherein, parameter AiIn do not include the classification point parameter of the 1st grade～j-th stage, m and n is positive integer；
From the parameter A that the first kind user of described acquisition is corresponding with Equations of The Second Kind useriAll values target function value in, obtain maximum corresponding with Equations of The Second Kind user of first kind user or parameter A1 that minimum target functional value is corresponding respectivelyj+1And A2j+1And value a1j+1And a2j+1。
5. method as claimed in claim 2, it is characterised in that obtain at least one crucial physical sign parameters of any kind user, and the span of described crucial physical sign parameters be sent to the step of terminal use and include:
The state of an illness according to each type of user or health and fitness information select the crucial physical sign parameters of the type user from all classification point parameters of the type user, and as the marginal value of crucial physical sign parameters, the classification point value of the described classification point parameter selected is sent to terminal use.
6. a data processing method, it is characterised in that including:
Obtain at least one crucial physical sign parameters of health system platform transmission and the span of crucial physical sign parameters；
Obtain the daily physical sign parameters of user and/or behavioral statistics parameter and/or diagnosis information；
According to one or more parameters in described daily physical sign parameters, behavioral statistics parameter and diagnosis information, it is thus achieved that the predictive value of described crucial physical sign parameters；
When the predictive value of arbitrary crucial physical sign parameters is outside the span of crucial physical sign parameters, send warning message to described health system platform and/or terminal.
7. method as claimed in claim 6, it is characterised in that according to one or more parameters in described daily physical sign parameters, behavioral statistics parameter and diagnosis information, it is thus achieved that the step of the predictive value of described crucial physical sign parameters includes:
According to one or more parameters in described daily physical sign parameters, behavioral statistics parameter and diagnosis information, through Model Identification, determine rank and parameter estimation, Model Diagnosis inspection, setting up with one or more parameters in daily physical sign parameters, behavioral statistics parameter and diagnosis information for input, crucial physical sign parameters is the autoregressive moving average arma modeling of output；
The described model set up is utilized to obtain the predictive value of described crucial physical sign parameters.
8. method as claimed in claim 7, it is characterised in that before utilizing the described model set up to obtain the step of predictive value of described crucial physical sign parameters, described method also includes:
Before n-th day and include the value of the daily physical sign parameters of n-th day, a kind of parameter in behavioral statistics parameter and diagnosis information or many kinds of parameters and input in described model, obtaining the predictive value of the crucial physical sign parameters of (n+1)th day, wherein, n is positive integer；
If the difference of the actual test value of the crucial physical sign parameters of the predictive value of crucial physical sign parameters of (n+1)th day obtained and (n+1)th day does not meet preset standard, recalculate the relevant parameter of described model according to the actual test value of the crucial physical sign parameters of described (n+1)th day.
9. a data processing equipment, is applied to health system platform side, it is characterised in that including:
Acquisition module, multiple diagnosis information of multiple daily physical sign parameters and/or behavioral statistics parameter and/or hospital system transmission for obtaining terminal use's transmission；
Sort module, for classifying user according to one or more parameters in the plurality of daily physical sign parameters, behavioral statistics parameter and diagnosis information；
Data processing module, for obtaining at least one crucial physical sign parameters of any kind user, and the span of described crucial physical sign parameters be sent to terminal use.
10. device as claimed in claim 9, it is characterised in that described sort module includes:
First acquiring unit, for the kth classification point parameter A according to one or more parameter acquiring j-th stage in described daily physical sign parameters, behavioral statistics parameter and diagnosis informationjAnd the classification point value a of correspondencej, wherein j and k is positive integer；
First taxon, for according to described AjAnd ajUser is divided into first kind user and Equations of The Second Kind user；
Second acquisition unit, for according to one or more parameters in described daily physical sign parameters, behavioral statistics parameter and diagnosis information, obtaining the classification point parameter A1 of the jth+1 grade of described first kind user and Equations of The Second Kind user respectivelyj+1And A2j+1And the classification point value a1 of correspondencej+1And a2j+1, wherein, A1j+1And A2j+1All different from the classification point parameter of the 1st grade～j-th stage；
Second taxon, for according to described parameter A1j+1And A2j+1And the a1 of correspondencej+1And a2j+1Respectively first kind user and Equations of The Second Kind user are further divided into two classes.
11. device as claimed in claim 10, it is characterised in that described first acquiring unit is further used for:
Listing one or more parameters in the plurality of daily physical sign parameters, behavioral statistics parameter and diagnosis information, i-th parameter is designated as Ai, i is positive integer；
According to the kth object function of the j-th stage preset, obtaining the target function value of all values of each parameter classified except some parameter except the 1st grade～jth-1 grade respectively, wherein k is positive integer；
From all target function values obtained, obtain maximum target functional value or parameter A corresponding to minimum target functional valuejAnd value aj。
12. device as claimed in claim 11, it is characterised in that described second acquisition unit is further used for:
According to m-th object function and n-th object function of the jth+1 grade preset, obtain the parameter A that described first kind user is corresponding with Equations of The Second Kind user respectivelyiThe target function value of all values, wherein, parameter AiIn do not include the classification point parameter of the 1st grade～j-th stage, m and n is positive integer；
From the parameter A that the first kind user of described acquisition is corresponding with Equations of The Second Kind useriAll values target function value in, obtain maximum corresponding with Equations of The Second Kind user of first kind user or parameter A1 that minimum target functional value is corresponding respectivelyj+1And A2j+1And value a1j+1And a2j+1。
13. device as claimed in claim 10, it is characterised in that described data processing module is further used for:
The state of an illness according to each type of user or health and fitness information select the crucial physical sign parameters of the type user from all classification point parameters of the type user, and as the marginal value of crucial physical sign parameters, the classification point value of the described classification point parameter selected is sent to terminal use.
14. a data processing equipment, it is applied to end side, it is characterised in that including:
First acquisition module, the span of at least one crucial physical sign parameters and crucial physical sign parameters for obtaining the transmission of health system platform；
Second acquisition module, is used for obtaining the daily physical sign parameters of user and/or behavioral statistics parameter and/or diagnosis information；
Prediction module, for according to one or more parameters in described daily physical sign parameters, behavioral statistics parameter and diagnosis information, it is thus achieved that the predictive value of described crucial physical sign parameters；
Alarm module, during for the predictive value of arbitrary crucial physical sign parameters outside the span of crucial physical sign parameters, sends warning message to described health system platform and/or terminal.
15. device as claimed in claim 14, it is characterised in that described prediction module includes:
Unit set up by model, for according to one or more parameters in described daily physical sign parameters, behavioral statistics parameter and diagnosis information, through Model Identification, determine rank and parameter estimation, Model Diagnosis inspection, setting up with one or more parameters in daily physical sign parameters, behavioral statistics parameter and diagnosis information for input, crucial physical sign parameters is the autoregressive moving average arma modeling of output；
Predictive value acquiring unit, for utilizing the described model of foundation to obtain the predictive value of described crucial physical sign parameters.
16. device as claimed in claim 15, it is characterised in that described prediction module also includes:
Optimize unit, for by before n-th day and include the value of the daily physical sign parameters of n-th day, a kind of parameter in behavioral statistics parameter and diagnosis information or many kinds of parameters and input in described model, obtaining the predictive value of the crucial physical sign parameters of (n+1)th day, wherein, n is positive integer；
If the difference of the actual test value of the crucial physical sign parameters of the predictive value of crucial physical sign parameters of (n+1)th day obtained and (n+1)th day does not meet preset standard, recalculate the relevant parameter of described model according to the actual test value of the crucial physical sign parameters of described (n+1)th day.
17. a health system platform, it is characterised in that include the data processing equipment as described in claim 9～13 any one.
18. a terminal, it is characterised in that include the data processing equipment as described in claim 14～16 any one.
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