CN105787232B - A kind of data processing method, device, health system platform and terminal - Google Patents
A kind of data processing method, device, health system platform and terminal Download PDFInfo
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Abstract
The present invention provides a kind of data processing method, device, health system platform and terminal, this method includes obtaining multiple daily physical sign parameters and/or behavioral statistics parameter that terminal user sends and/or multiple diagnosis informations that hospital system is sent；Classified to user according to one or more in multiple daily physical sign parameters, behavioral statistics parameter and diagnosis information；It obtains at least one crucial physical sign parameters of any kind user, and the value range of crucial physical sign parameters and is sent to terminal user.The solution of the present invention is realized to be detected for a variety of physical sign parameters of different user and the specific value of its physical sign parameters, and daily physical sign parameters in conjunction with user and behavioral statistics parameter obtain the relationship between the daily behaviors such as user's diet, movement and crucial physical sign parameters, and then user is instructed to be adjusted in related fields.
Description
Technical field
The present invention relates to mobile health control technical field more particularly to a kind of data processing method, device, health systems
Platform and terminal.
Background technology
Currently, the people with chronic disease is generally treated by taking drug and diet and the movement that doctor opens for a long time
Their disease, rather than be in hospital undergoing treatment.However, in the case of not additional help and information reminding, do not allow
Disease under these situations of manageability.
As shown in Figure 1, in the prior art, to a kind of health management service system and method for chronic disease.The system
The course of work be：Mobile phone reads bar code, obtains 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 bodily form, constitution, menu, food is relevant
Data.
As shown in Fig. 2, for another user terminal apparatus schematic diagram for executing customized health control, the system group
Become：First device (mobile phone, wearable wrist-watch etc.) receives the behavioural information of user；Second device is authorized to be arranged
The terminal of the overseer of user behavior guide；3rd device and the 4th device are servers or have another people of various interest
Terminal.
The course of work of the device is：First device receives the behavioral data of user, generates the behavioural information of user, and turn
Issue system server；User behavior guide is sent to system server by second device；System server is by comparing behavior
Information and Behavioral guidelines generate health care information, and health care information is sent to first device, and by user's row
It is sent to second device for information.
It follows that both the above scheme constitutes the health being connect with server using terminal devices such as mobile phones
Management service system.But existing Mobile health management system is primarily present following two problems, to be directed to diabetic
Mobile health system for, main problem is：
Problem 1：To the user of the different state of an illness, the individual physical sign parameters of daily monitoring are carried out in mobile health control all to be made
With identical physical signs, these indexs are all based on the medical therapy guide and doctor's clinical experience of country's promulgation substantially.It is such as right
Diabetic, current index are substantially monitored blood glucose (or also including blood pressure).Not yet according to the practical state of an illness of user
Development realizes that a variety of physical sign parameters and the specific value of its physical sign parameters for different user are detected.Citing is such as
Under.
Diabetic is divided into three categories as clinical at present：Impaired sugar regulation has diabetes but without complication, Yi Jiyou
Diabetes have complication, in addition, can also be subdivided into microvascular complication and macrovascular complications.But nearest research table
Bright, different user, the key index for influencing its state of an illness is different, and the value range of these indexs is also different.Such as
It is important independent effect index to have the user of microvascular complication, blood glucose fluctuation.For macrovascular complications user, from one
To analyzing and can find in the use data of 165 patients, 65.4 years old age, 145.5 millimetres of mercury of systolic pressure (mmHg), constitution refer to
Number (BMI) 21.5 Kilograms Per Square Meter, fasting blood-glucose 9.6 mMs/every liter (mmol/L) and glycosylated hemoglobin (HbA1c)
6.2% is critical value.Therefore, it when being monitored to user's sign using mobile health system, to be provided for them different
Monitoring index, and by the control of these monitoring indexes in reasonable range.
Problem 2：After receiving specified regulation and control parameter in mobile terminal, current system is the blood glucose of simple record user
Measured value, dietary intake, amount of exercise, medicining condition etc., the key for not controlling diet, movement and medicining condition and needs
Sign Index combines, so the relationship between the daily behaviors such as user's diet, movement and crucial sign Index can not be found.
Invention content
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,
The specific value of a variety of physical sign parameters and its physical sign parameters that different user can be directed to is detected, and combines user's
Daily physical sign parameters and behavioral statistics parameter obtain the pass between the daily behaviors such as user's diet, movement and crucial physical sign parameters
System.
In order to solve the above-mentioned technical problem, the present invention adopts the following technical scheme that：
One side according to the present invention provides a kind of data processing method, including：
Obtain the multiple daily physical sign parameters and/or behavioral statistics parameter and/or hospital system transmission that terminal user sends
Multiple diagnosis informations；
It will be used according to one or more parameters in the multiple daily physical sign parameters, behavioral statistics parameter and diagnosis information
Classify at family；
Obtain at least one crucial physical sign parameters of any kind user and the value range of the crucial physical sign parameters
And it is sent to terminal user.
Wherein, according to one or more ginsengs in the multiple daily physical sign parameters, behavioral statistics parameter and diagnosis information
Number the step of user classifies include：
According to one or more parameter acquiring jth in the daily physical sign parameters, behavioral statistics parameter and diagnosis information
K-th of classification point parameter A of gradejAnd corresponding classification point value aj, wherein j and k are positive integer；
According to the AjAnd ajUser is divided into first kind user and the second class user；
According to one or more parameters in the daily physical sign parameters, behavioral statistics parameter and diagnosis information, obtain respectively
Take the classification point parameter A1 of+1 grade of the jth of the first kind user and the second class userj+1And A2j+1And its corresponding classification point takes
Value a1j+1And a2j+1, wherein A1j+1And A2j+1It is different from the 1st grade~classification point parameter of j-th stage；
According to the parameter A1j+1And A2j+1And corresponding a1j+1And a2j+1Respectively by first kind user and the second class user
It is further divided into two classes.
Wherein, it is obtained according to one or more parameters in the daily physical sign parameters, behavioral statistics parameter and diagnosis information
Take k-th of point parameter A that classifies of j-th stagejAnd its corresponding classification point value ajThe step of include：
List one or more parameters in the multiple daily physical sign parameters, behavioral statistics parameter and diagnosis information, i-th
A parameter is denoted as Ai, i is positive integer；
According to k-th of object function of preset j-th stage, obtain respectively in addition to the classification point parameter of the 1st grade~-1 grade of jth
Each parameter all values target function value, wherein k be positive integer；
From all target function values of acquisition, maximum target functional value or the corresponding parameter of minimum target functional value are obtained
AjAnd its value aj。
Wherein, according to one or more parameters in the daily physical sign parameters, behavioral statistics parameter and diagnosis information, divide
The classification point parameter A1 of+1 grade of the jth of the first kind user and the second class user is not obtainedj+1And A2j+1And its corresponding classification
Point value a1j+1And a2j+1The step of include：
According to m-th of the object function and n-th of object function of+1 grade of preset jth, the first kind is obtained respectively and is used
Family and the corresponding parameter A of the second class useriAll values target function value, wherein parameter AiIn include the 1st grade~jth
The corresponding classification point parameter of grade, m and n are positive integer；
First kind user from the acquisition and the corresponding parameter A of the second class useriAll values target function value
In, first kind user and the corresponding maximum or corresponding parameter A1 of minimum target functional value of the second class user are obtained respectivelyj+1With
A2j+1And its value a1j+1And a2j+1。
Wherein, at least one crucial physical sign parameters of any kind user and taking for the crucial physical sign parameters are obtained
Value range and the step of being sent to terminal user includes：
According to the state of an illness of each type of user or health and fitness information this is selected from all classification point parameters of the type user
The crucial physical sign parameters of type of user, and using the classification for the classification point parameter selected point value as crucial physical sign parameters
Critical value is sent to terminal user.
Other side according to the present invention additionally provides a kind of data processing method, including：
Obtain the value range of at least one crucial physical sign parameters and crucial physical sign parameters that health system platform is sent；
The daily physical sign parameters and/or behavioral statistics parameter and/or diagnosis information of acquisition user；
According to one or more parameters in the daily physical sign parameters, behavioral statistics parameter and diagnosis information, institute is obtained
State the predicted value of crucial physical sign parameters；
The predicted value of any key physical sign parameters is when except the value range of crucial physical sign parameters, to the health system
Platform and/or terminal send warning message.
Wherein, it according to one or more parameters in the daily physical sign parameters, behavioral statistics parameter and diagnosis information, obtains
The predicted value of the crucial physical sign parameters the step of include：
According to one or more parameters in the daily physical sign parameters, behavioral statistics parameter and diagnosis information, by mould
Rank and parameter Estimation, Model Diagnosis inspection are determined in type identification, are established with daily physical sign parameters, behavioral statistics parameter and diagnosis information
In one or more parameters be input, crucial physical sign parameters be export autoregressive moving average (ARMA) model；
The predicted value of the crucial physical sign parameters is obtained using the model of foundation.
Wherein, before the step of obtaining the predicted value of the crucial physical sign parameters using the model of foundation, the side
Method further includes：
It will be before n-th day and include a seed ginseng in n-th day daily physical sign parameters, behavioral statistics parameter and diagnosis information
The value of number or many kinds of parameters inputs in the model, obtains the predicted value of (n+1)th day crucial physical sign parameters, wherein n is just
Integer；
If the practical survey of the predicted value of the (n+1)th day crucial physical sign parameters obtained and (n+1)th day crucial physical sign parameters
The difference of examination value does not meet preset standard, is recalculated according to the actual test value of described (n+1)th day crucial physical sign parameters described
The relevant parameter of model.
Other side according to the present invention additionally provides a kind of data processing equipment, is applied to health system platform side,
The device includes：
Acquisition module, for obtain terminal user transmission multiple daily physical sign parameters and/or behavioral statistics parameter and/or
Multiple diagnosis informations that hospital system is sent；
Sort module, for according to one kind in the multiple daily physical sign parameters, behavioral statistics parameter and diagnosis information
Or many kinds of parameters classifies user；
Data processing module, at least one crucial physical sign parameters for obtaining any kind user and the key
The value range of physical sign parameters is simultaneously sent to terminal user.
Wherein, the sort module includes：
First acquisition unit, for according to one kind in the daily physical sign parameters, behavioral statistics parameter and diagnosis information
Or many kinds of parameters obtains k-th of classification point parameter A of j-th stagejAnd corresponding classification point value aj, wherein j and k are positive integer；
First taxon, for according to the AjAnd ajUser is divided into first kind user and the second class user；
Second acquisition unit, for according to one kind in the daily physical sign parameters, behavioral statistics parameter and diagnosis information
Or many kinds of parameters, the classification point parameter A1 of+1 grade of the jth of the first kind user and the second class user is obtained respectivelyj+1And A2j+1
And its corresponding classification point value a1j+1And a2j+1, wherein A1j+1And A2j+1Not with the classification point parameter of the 1st grade~j-th stage
Together；
Second taxon, for according to the parameter A1j+1And A2j+1And corresponding a1j+1And a2j+1Respectively by the first kind
User and the second class user are further divided into two classes.
Wherein, the first acquisition unit is further used for：
List one or more parameters in the multiple daily physical sign parameters, behavioral statistics parameter and diagnosis information, i-th
A parameter is denoted as Ai, i is positive integer；
According to k-th of object function of preset j-th stage, obtain respectively in addition to the classification point parameter of the 1st grade~-1 grade of jth
Each parameter all values target function value, wherein k be positive integer；
From all target function values of acquisition, maximum target functional value or the corresponding parameter of minimum target functional value are obtained
AjAnd its value aj。
Wherein, the second acquisition unit is further used for：
According to m-th of the object function and n-th of object function of+1 grade of preset jth, the first kind is obtained respectively and is used
Family and the corresponding parameter A of the second class useriAll values target function value, wherein parameter AiIn include the 1st grade~jth
The corresponding sorting parameter of grade, m and n are positive integer；
First kind user from the acquisition and the corresponding parameter A of the second class useriAll values target function value
In, first kind user and the corresponding maximum or corresponding parameter A1 of minimum target functional value of the second class user are obtained respectivelyj+1With
A2j+1And its value a1j+1And a2j+1。
Wherein, the data processing module is further used for：
According to the state of an illness of each type of user or health and fitness information this is selected from all classification point parameters of the type user
The crucial physical sign parameters of type of user, and using the classification for the classification point parameter selected point value as crucial physical sign parameters
Critical value is sent to terminal user.
Other side according to the present invention additionally provides a kind of data processing equipment, is applied to end side, the device packet
It includes：
First acquisition module, at least one crucial physical sign parameters for obtaining the transmission of health system platform and crucial sign
The value range of parameter；
Second acquisition module, the daily physical sign parameters and/or behavioral statistics parameter for obtaining user and/or medical letter
Breath；
Prediction module, for according to one kind in the daily physical sign parameters, behavioral statistics parameter and diagnosis information or more
Kind parameter obtains the predicted value of the crucial physical sign parameters；
Alarm module is used for the predicted value of any crucial physical sign parameters when except the value range of crucial physical sign parameters,
Warning message is sent to the health system platform and/or terminal.
Wherein, the prediction module includes：
Model foundation unit, for according to one kind in the daily physical sign parameters, behavioral statistics parameter and diagnosis information
Or many kinds of parameters, by Model Identification, determine rank and parameter Estimation, Model Diagnosis inspection, establishes and united with daily physical sign parameters, behavior
It is input to count one or more parameters in parameter and diagnosis information, and crucial physical sign parameters are the arma modeling of output；
Predicted value acquiring unit, the predicted value for obtaining the crucial physical sign parameters using the model of foundation.
The prediction module further includes：
Optimize unit, for will be before n-th day and include n-th day daily physical sign parameters, behavioral statistics parameter and medical
The value of a kind of parameter or many kinds of parameters in information inputs in the model, obtains the pre- of (n+1)th day crucial physical sign parameters
Measured value, wherein n is positive integer；
If the practical survey of the predicted value of the (n+1)th day crucial physical sign parameters obtained and (n+1)th day crucial physical sign parameters
The difference of examination value does not meet preset standard, is recalculated according to the actual test value of described (n+1)th day crucial physical sign parameters described
The relevant parameter of model.
Other side according to the present invention additionally provides a kind of health system platform, including described above is applied to
The data processing equipment of health system platform side.
Other side according to the present invention, additionally provides a kind of terminal, including the described above end side that is applied to
Data processing equipment.
The beneficial effects of the invention are as follows：
The data processing method of the present invention is realized for particular user, carries out personalized chronic diseases management.Health system is flat
Platform according in multiple daily physical sign parameters, behavioral statistics parameter and diagnosis information a kind of parameter or many kinds of parameters user is carried out
Classification, and the personalized crucial physical sign parameters and its value range per a kind of user are obtained, and then it is sent to terminal.In terminal
Crucial physical sign parameters and a kind of parameter in daily physical sign parameters, behavioral statistics parameter and diagnosis information or a variety of ginsengs are established in side
Several relationships obtains the predicted value of crucial physical sign parameters, and the personalized crucial physical sign parameters obtained with health system platform
And its value range is compared, and thus predicts that user's daily behavior influences caused by crucial physical sign parameters are possible.
Description of the drawings
Fig. 1 shows a kind of principle schematics of health management service system and method in the prior art；
Fig. 2 indicates the user terminal apparatus schematic diagram in the prior art for executing customized health control；
Fig. 3 indicates the flow diagram of the data processing method of health system platform side in the embodiment of the present invention；
Fig. 4 indicates the flow diagram of the data processing method of end side in the embodiment of the present invention；
Fig. 5 indicates the data processing equipment structure diagram of health system platform side in the embodiment of the present invention；
The structure diagram of Fig. 6 presentation class modules；
Fig. 7 indicates the data processing equipment structure diagram of end side in the embodiment of the present invention；
Fig. 8 shows the structure diagrams of prediction module；
Fig. 9 indicates the principle schematic classified to user.
Specific implementation mode
The exemplary embodiment of the disclosure is more fully described below with reference to accompanying drawings.Although showing the disclosure in attached drawing
Exemplary embodiment, it being understood, however, that may be realized in various forms the disclosure without should be by embodiments set forth here
It is limited.On the contrary, these embodiments are provided to facilitate a more thoroughly understanding of the present invention, and can be by the scope of the present disclosure
Completely it is communicated to those skilled in the art.
Embodiment one
The one side of embodiment according to the present invention provides a kind of data processing method, is applied to health system platform
Side, as shown in figure 3, this method includes：
Step S301, the multiple daily physical sign parameters and/or behavioral statistics parameter and/or hospital that terminal user sends are obtained
Multiple diagnosis informations that system is sent.
Wherein, daily physical sign parameters include body temperature, weight, heartbeat, blood pressure and blood glucose etc. by wearable device or manually
It is input to the parameter of terminal；Behavioral statistics parameter includes user's medication information, motion conditions and diet information；Diagnosis information includes
The essential information of user, such as gender, age and state of an illness information, and diagnosis information is typically stored at hospital outpatient and admissions office
Related system in.
Step S303, according to one kind in the multiple daily physical sign parameters, behavioral statistics parameter and diagnosis information or more
Kind parameter classifies user.I.e. when classifying to user, daily physical sign parameters, behavioral statistics parameter and diagnosis information
These three parameters may only need one of them, can also need a variety of.
Wherein, user is classified using decision tree method in embodiments of the present invention, it is of course possible to which understanding will be used
Family carries out classification and is not limited to this kind of method.
When using decision tree method, step S303 includes：
According to one or more parameter acquiring jth in the daily physical sign parameters, behavioral statistics parameter and diagnosis information
K-th of classification point parameter A of gradejAnd corresponding classification point value aj, wherein j and k are positive integer；
According to the AjAnd ajUser is divided into first kind user and the second class user；
According to one or more parameters in the daily physical sign parameters, behavioral statistics parameter and diagnosis information, obtain respectively
Take the classification point parameter A1 of+1 grade of the jth of the first kind user and the second class userj+1And A2j+1And its corresponding classification point takes
Value a1j+1And a2j+1, wherein A1j+1And A2j+1It is different from the 1st grade~classification point parameter of j-th stage；
According to the parameter A1j+1And A2j+1And corresponding a1j+1And a2j+1Respectively by first kind user and the second class user
It is further divided into two classes.
During classifying to user, the classification of+1 grade of the jth of first kind user and the second class user is joined
Number A1j+1And A2j+1Can be identical parameter or different parameters.
Wherein, it is obtained according to one or more parameters in the daily physical sign parameters, behavioral statistics parameter and diagnosis information
Take k-th of point parameter A that classifies of j-th stagejAnd corresponding classification point value ajThe step of include：
List one or more parameters in the multiple daily physical sign parameters, behavioral statistics parameter and diagnosis information, i-th
A parameter is denoted as Ai, i is positive integer；
According to k-th of object function of preset j-th stage, obtain respectively in addition to the classification point parameter of the 1st grade~-1 grade of jth
Each parameter all values target function value, wherein k be positive integer；
From all target function values of acquisition, maximum target functional value or the corresponding parameter of minimum target functional value are obtained
AjAnd its value aj。
Specifically, it when j is equal to 1, represents when obtaining the 1st grade of classification point parameter, needs to calculate all parameters
The target function value of all values, and therefrom select maximum target functional value or the corresponding parameter of minimum target functional value and its take
Value.
When j is more than 1, if j is equal to 3, each parameter in addition to the 1st grade~the 2nd grade of classification point parameter is obtained respectively
All values target function value.It represents when obtaining the classification point parameter of 3rd level, needs the institute of the 1st grade and the 2nd grade
There is classification point parameter to be removed from listed all parameters, and obtains the object function of all values of remaining all parameters
Value, and therefrom select maximum target functional value or the corresponding parameter of minimum target functional value and its value.
Wherein, according to one or more parameters in the daily physical sign parameters, behavioral statistics parameter and diagnosis information, divide
The classification point parameter A1 of+1 grade of the jth of the first kind user and the second class user is not obtainedj+1And A2j+1And its corresponding classification
Point value a1j+1And a2j+1The step of include：
According to m-th of the object function and n-th of object function of+1 grade of preset jth, the first kind is obtained respectively and is used
Family and the corresponding parameter A of the second class useriAll values target function value, wherein parameter AiIn include the 1st grade~jth
The corresponding classification point parameter of grade, m and n are positive integer；
First kind user from the acquisition and the corresponding parameter A of the second class useriAll values target function value
In, first kind user and the corresponding maximum or corresponding parameter A1 of minimum target functional value of the second class user are obtained respectivelyj+1With
A2j+1And its value a1j+1And a2j+1。
Obtain it is each classification point parameter needed for each object function between can be identical function or different letters
Number, depending on actual concrete condition.
Specifically, as shown in figure 9, thering is the patient of macrovascular complications to analyze diabetes using decision Tree algorithms
When, all parameters, such as age, systolic pressure are listed first, then preset a selection criteria, i.e. the 1st grade of first aim
Function.Then, some parameter (such as age) is selected, and selects some value (such as 50 years old) within the scope of the parameter value, then
Calculate object function at this time；The value (such as 55 years old age of selection) for adjusting the parameter later, calculates corresponding object function.According to
The method traverses the be possible to value of the parameter and its corresponding target function value.Later, select another parameter (as received
Contracting pressure), its all value is traversed, and calculate the object function corresponding to each value；……；According to this process, institute is traversed
Some parameters, and calculate it and correspond to target function value.Parameter corresponding to last selection target function maxima or minimum value and
User is divided into two classes by its value as classification point at this time, and according to this value.Then according to above-mentioned flow, continue to classify, directly
It meets the expected requirements to classification results.
Step S305, at least one crucial physical sign parameters of any kind user and the crucial physical sign parameters are obtained
Value range and be sent to terminal user.
Wherein, these crucial physical sign parameters and its value range that health system platform side analyzes, will by doctor or specially
Family carries out final audit.After the approval, these parameters and its value range will be sent to terminal user.
For the concrete methods of realizing of step S305, using the correlation obtained in above-mentioned decision tree method in the embodiment of the present invention
Data are realized, it is of course possible to which understanding obtains at least one crucial physical sign parameters of any kind user and the pass
The method of the value range of key physical sign parameters is also not limited to this.
Specifically step S305 includes：
According to the state of an illness of each type of user or health and fitness information this is selected from all classification point parameters of the type user
The crucial physical sign parameters of type of user, and using the classification for the classification point parameter selected point value as crucial physical sign parameters
Critical value is sent to terminal user.
Specifically, for example, as shown in figure 9, for certain a kind of illness, crucial physical sign parameters were the age more than 50 years old
The value range of the systolic pressure of user is more than a values.
In addition, can be for the crucial physical sign parameters through the sorted users of step S303, different types of user
Different, and the value range of crucial physical sign parameters is also different.For example, there is the user of microvascular complication, blood glucose fluctuation is
Important independent effect index；For macrovascular complications user, fasting blood-glucose, HbA1C, blood pressure and BMI are the pass of such user
Key physical sign parameters.
Embodiment two
Other side according to the present invention additionally provides a kind of data processing method, is applied to end side, such as Fig. 4 institutes
Show, this method includes：
Step S401, at least one crucial physical sign parameters of health system platform transmission and taking for crucial physical sign parameters are obtained
It is worth range.
Wherein, crucial physical sign parameters and its value range are to be sent to terminal user after being obtained by health system platform
, and the quantity of the crucial physical sign parameters of different types of user and its value range can be different.
Step S403, the daily physical sign parameters of acquisition user and/or behavioral statistics parameter and/or diagnosis information.
Wherein, daily physical sign parameters include body temperature, weight, heartbeat, blood pressure and blood glucose etc. by wearable device or manually
It is input to the parameter of terminal；Behavioral statistics parameter includes user's medication information, motion conditions and diet information, and generally passes through hand
Dynamic be input in terminal device is stored.
Step S405, according to one or more ginsengs in the daily physical sign parameters, behavioral statistics parameter and diagnosis information
Number obtains the predicted value of the crucial physical sign parameters.
Optionally, step S405 includes：
According to one or more parameters in the daily physical sign parameters, behavioral statistics parameter and diagnosis information, by mould
Rank and parameter Estimation, Model Diagnosis inspection are determined in type identification, are established with daily physical sign parameters, behavioral statistics parameter and diagnosis information
In one or more parameters be input, crucial physical sign parameters be export arma modeling；
The predicted value of the crucial physical sign parameters is obtained using the model of foundation.
The predicted value for obtaining multiple crucial physical sign parameters in the embodiment of the present invention by establishing arma modeling certainly can
What it is with understanding is, however it is not limited to which a kind of this model or method realize the prediction to crucial physical sign parameters.
Optionally, described before the step of obtaining the predicted value of the crucial physical sign parameters using the model of foundation
Method further includes：
It will be before n-th day and include a seed ginseng in n-th day daily physical sign parameters, behavioral statistics parameter and diagnosis information
The value of number or many kinds of parameters inputs in the model, obtains the predicted value of (n+1)th day crucial physical sign parameters, wherein n is just
Integer；
If the practical survey of the predicted value of the (n+1)th day crucial physical sign parameters obtained and (n+1)th day crucial physical sign parameters
The difference of examination value does not meet preset standard, is recalculated according to the actual test value of described (n+1)th day crucial physical sign parameters described
The relevant parameter of model.
Specifically, for carrying out blood glucose prediction using the arma modeling in time series analysis, by Model Identification, determine
Rank and parameter Estimation, Model Diagnosis are examined, and the prediction model of blood glucose value is can get.
Assuming that when parameter influential on blood glucose value is the past blood glucose value and pressure value, then to the predictor formula of blood glucose value
For：X (n)=A1X(n-1)+A2X(n-2)+…+APX(n-p)+B1Y(n-1)+B2Y(n-2)+…+BqY(n-q).Wherein, X (t)
For t days blood glucose values, the pressure value that Y (t) is t days.p、q、Ai(i=1,2 ..., p) and Bi(i=1,2 ..., q) it is to need
Determining coefficient.
p、q、Ai(i=1,2 ..., p) and BiThe determination method of (i=1,2 ..., q) is：Utilize the X (t) newly obtained daily
With Y (t) values p, q, A in above-mentioned formula are determined by calculating auto-correlation function and deviation―related functioni(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 at this time is just
It is the model of the data；Otherwise just continue to train according to subsequent sampling value.
After obtaining above-mentioned model, the same day collected user blood glucose and pressure value are utilized, so that it may predict second day user
Blood glucose value.
Step S407, the predicted value of any crucial physical sign parameters is when except the value range of crucial physical sign parameters, to institute
It states health system platform and/or terminal sends warning message.
It is respectively established first for crucial physical sign parameters in end side when obtaining the predicted value of crucial physical sign parameters,
The input of model is that a kind of parameter in daily physical sign parameters, behavioral statistics parameter and diagnosis information or many kinds of parameters (are as used
Body temperature, weight, blood glucose, blood pressure, motion conditions, diet and the medicining condition at family etc.), the output of model is crucial physical sign parameters
Predicted value.For the model, after first establish, according to previous truthful data, if the crucial physical sign parameters predicted value of output
It is larger with legitimate reading gap, then it needs to be trained the model.
When enough for trained user data, when model training realizes enough accuracy, then utilize the model to obtain and close
The predicted value of key physical sign parameters.At this point, by the daily physical sign parameters of user and row of current (such as the same day may also comprise a few days ago)
After the data input model of statistical parameter, model can export the predicted value of the crucial physical sign parameters of (such as second day) in the future.Such as
The predicted value of these crucial physical sign parameters of fruit exceeds the zone of reasonableness of health system platform suggestion, then terminal can be to user and platform
Send out warning information.
Embodiment three
The other side of embodiment according to the present invention additionally provides a kind of data processing equipment, is applied to health system
Platform side, as shown in figure 5, the device 500, including：
Acquisition module 501, multiple daily physical sign parameters and/or behavioral statistics parameter for obtaining terminal user's transmission
And/or multiple diagnosis informations that hospital system is sent；
Sort module 503, for according to one in the multiple daily physical sign parameters, behavioral statistics parameter and diagnosis information
Kind or many kinds of parameters classify user；
Data processing module 505, at least one crucial physical sign parameters for obtaining any kind user and the pass
The value range of key physical sign parameters is simultaneously sent to terminal user.
Optionally, as shown in fig. 6, sort module 503 includes：
First acquisition unit 5031, for according in the daily physical sign parameters, behavioral statistics parameter and diagnosis information
K-th of classification point parameter A of one or more parameter acquiring j-th stagesjAnd corresponding classification point value aj, wherein j and k are just
Integer；
First taxon 5032, for according to the AjAnd ajUser is divided into first kind user and the second class user；
Second acquisition unit 5033, for according in the daily physical sign parameters, behavioral statistics parameter and diagnosis information
One or more parameters obtain the classification point parameter A1 of+1 grade of the jth of the first kind user and the second class user respectivelyj+1With
A2j+1And its corresponding classification point value a1j+1And a2j+1, wherein A1j+1And A2j+1Join with the classification point of the 1st grade~j-th stage
Number is different；
Second taxon 5034, for according to the parameter A1j+1And A2j+1And corresponding a1j+1And a2j+1Respectively by
A kind of user and the second class user are further divided into two classes.
Optionally, first acquisition unit 5031 is further used for：
List one or more parameters in the multiple daily physical sign parameters, behavioral statistics parameter and diagnosis information, i-th
A parameter is denoted as Ai, i is positive integer；
According to k-th of object function of preset j-th stage, obtain respectively in addition to the classification point parameter of the 1st grade~-1 grade of jth
Each parameter all values target function value, wherein k be positive integer；
From all target function values of acquisition, maximum target functional value or the corresponding parameter of minimum target functional value are obtained
AjAnd its value aj。
Optionally, second acquisition unit 5033 is further used for：
According to m-th of the object function and n-th of object function of+1 grade of preset jth, the first kind is obtained respectively and is used
Family and the corresponding parameter A of the second class useriAll values target function value, wherein parameter AiIn include the 1st grade~jth
The corresponding sorting parameter of grade, m and n are positive integer；
First kind user from the acquisition and the corresponding parameter A of the second class useriAll values target function value
In, first kind user and the corresponding maximum or corresponding parameter A1 of minimum target functional value of the second class user are obtained respectivelyj+1With
A2j+1And its value a1j+1And a2j+1。
Optionally, 505 pieces of data processing mould is further used for：
According to the state of an illness of each type of user or health and fitness information this is selected from all classification point parameters of the type user
The crucial physical sign parameters of type of user, and using the classification for the classification point parameter selected point value as crucial physical sign parameters
Critical value is sent to terminal user.
Example IV
The other side of embodiment according to the present invention additionally provides a kind of data processing equipment, is applied to end side, such as
Shown in Fig. 7, the device 700, including：
First acquisition module 701, at least one crucial physical sign parameters for obtaining the transmission of health system platform and key
The value range of physical sign parameters；
Second acquisition module 703, daily physical sign parameters and/or behavioral statistics parameter for obtaining user and/or medical
Information；
Prediction module 705, for according in the daily physical sign parameters, behavioral statistics parameter and diagnosis information one kind or
Many kinds of parameters obtains the predicted value of the crucial physical sign parameters；
Alarm module 707, the predicted value for any crucial physical sign parameters is except the value range of crucial physical sign parameters
When, to the health system platform and/or send warning message.
Optionally, as shown in figure 8, the prediction module 705 includes：
Model foundation unit 7051, for according in the daily physical sign parameters, behavioral statistics parameter and diagnosis information
One or more parameters by Model Identification, are determined rank and parameter Estimation, Model Diagnosis inspection, are established with daily physical sign parameters, row
It is input for one or more parameters in statistical parameter and diagnosis information, crucial physical sign parameters are the arma modeling of output；
Predicted value acquiring unit 7053, the prediction for obtaining the crucial physical sign parameters using the model of foundation
Value.
Optionally, the prediction module 705 further includes：
Optimize unit 7052, for by before n-th day and include n-th daily physical sign parameters, behavioral statistics parameter and just
The value for examining a kind of parameter or many kinds of parameters in information inputs in the model, obtains (n+1)th day crucial physical sign parameters
Predicted value, wherein n is positive integer；
If the practical survey of the predicted value of the (n+1)th day crucial physical sign parameters obtained and (n+1)th day crucial physical sign parameters
The difference of examination value does not meet preset standard, is recalculated according to the actual test value of described (n+1)th day crucial physical sign parameters described
The relevant parameter of model.
Embodiment five
The other side of embodiment according to the present invention additionally provides a kind of health system platform, including described above
Data processing equipment applied to health system platform side.
Embodiment six
The other side of embodiment according to the present invention, additionally provides a kind of terminal, including described above is applied to eventually
The data processing equipment of end side.
Above-described is the preferred embodiment of the present invention, it should be pointed out that the ordinary person of the art is come
It says, can also make several improvements and retouch under the premise of not departing from principle of the present invention, these improvements and modifications also exist
In protection scope of the present invention.
Claims (12)
1. a kind of data processing method, which is characterized in that including：
The multiple daily physical sign parameters and/or behavioral statistics parameter and/or hospital system that acquisition terminal user sends send more
A diagnosis information；
According to one or more parameters in the multiple daily physical sign parameters, behavioral statistics parameter and diagnosis information by user into
Row classification；
The value range of at least one crucial physical sign parameters and the crucial physical sign parameters that obtain any kind user is concurrent
Give terminal user；According to one or more ginsengs in the multiple daily physical sign parameters, behavioral statistics parameter and diagnosis information
Number the step of user classifies include：
According to one or more parameter acquiring j-th stages in the daily physical sign parameters, behavioral statistics parameter and diagnosis information
K-th of classification point parameter AjAnd corresponding classification point value aj, wherein j and k are positive integer；
According to the AjAnd ajUser is divided into first kind user and the second class user；
According to one or more parameters in the daily physical sign parameters, behavioral statistics parameter and diagnosis information, institute is obtained respectively
State the classification point parameter A1 of+1 grade of the jth of first kind user and the second class userj+1And A2j+1And its corresponding classification point value
a1j+1And a2j+1, wherein A1j+1And A2j+1It is different from the 1st grade~classification point parameter of j-th stage；
According to the parameter A1j+1And A2j+1And corresponding a1j+1And a2j+1First kind user and the second class user are divided again respectively
For two classes；According to one or more parameter acquiring j-th stages in the daily physical sign parameters, behavioral statistics parameter and diagnosis information
K-th of classification point parameter AjAnd corresponding classification point value ajThe step of include：
List one or more parameters in the multiple daily physical sign parameters, behavioral statistics parameter and diagnosis information, i-th of ginseng
Number scale is Ai, i is positive integer；
According to k-th of object function of preset j-th stage, obtain respectively every in addition to the classification of the 1st grade~-1 grade of jth point parameter
The target function value of all values of one parameter, wherein k are positive integer；
From all target function values of acquisition, maximum target functional value or the corresponding parameter A of minimum target functional value are obtainedjAnd
Its value aj。
2. the method as described in claim 1, which is characterized in that according to the daily physical sign parameters, behavioral statistics parameter and just
One or more parameters in information are examined, obtain the classification point of+1 grade of the jth of the first kind user and the second class user respectively
Parameter A1j+1And A2j+1And its corresponding classification point value a1j+1And a2j+1The step of include：
According to m-th of the object function and n-th of object function of+1 grade of preset jth, obtain respectively the first kind user and
The corresponding parameter A of second class useriAll values target function value, wherein parameter AiIn do not include the 1st grade~j-th stage
Classification point parameter, m and n are positive integer；
First kind user from the acquisition and the corresponding parameter A of the second class useriAll values target function value in, point
It Huo Qu not first kind user and the corresponding maximum or corresponding parameter A1 of minimum target functional value of the second class userj+1And A2j+1And
Its value a1j+1And a2j+1。
3. the method as described in claim 1, which is characterized in that obtain at least one crucial sign ginseng of any kind user
The value range of number and the crucial physical sign parameters and the step of being sent to terminal user includes：
According to the state of an illness of each type of user or health and fitness information the type is selected from all classification point parameters of the type user
The crucial physical sign parameters of user, and using the classification for the classification point parameter selected point value as the critical of crucial physical sign parameters
Value is sent to terminal user.
4. a kind of data processing method, which is characterized in that including：
Obtain the value range of at least one crucial physical sign parameters and crucial physical sign parameters that health system platform is sent；
The daily physical sign parameters and/or behavioral statistics parameter and/or diagnosis information of acquisition user；
According to one or more parameters in the daily physical sign parameters, behavioral statistics parameter and diagnosis information, the pass is obtained
The predicted value of key physical sign parameters；
The predicted value of any key physical sign parameters is when except the value range of crucial physical sign parameters, to the health system platform
And/or terminal sends warning message；According to one kind in the daily physical sign parameters, behavioral statistics parameter and diagnosis information or more
The step of kind of parameter, the predicted value for obtaining the crucial physical sign parameters includes：
According to one or more parameters in the daily physical sign parameters, behavioral statistics parameter and diagnosis information, know by model
Not, determine rank and parameter Estimation, Model Diagnosis are examined, establish in daily physical sign parameters, behavioral statistics parameter and diagnosis information
One or more parameters are input, and crucial physical sign parameters are the autoregressive moving average arma modeling of output；
The predicted value of the crucial physical sign parameters is obtained using the model of foundation.
5. method as claimed in claim 4, which is characterized in that obtain the crucial physical sign parameters using the model established
Predicted value the step of before, the method further includes：
By before n-th day and include a kind of parameter in n-th day daily physical sign parameters, behavioral statistics parameter and diagnosis information or
The value of many kinds of parameters inputs in the model, obtains the predicted value of (n+1)th day crucial physical sign parameters, wherein n is just whole
Number；
If the actual test value of the predicted value of the (n+1)th day crucial physical sign parameters obtained and (n+1)th day crucial physical sign parameters
Difference do not meet preset standard, the model is recalculated according to the actual test value of described (n+1)th day crucial physical sign parameters
Relevant parameter.
6. a kind of data processing equipment is applied to health system platform side, which is characterized in that including：
Acquisition module, the multiple daily physical sign parameters and/or behavioral statistics parameter for obtaining terminal user's transmission and/or hospital
Multiple diagnosis informations that system is sent；
Sort module, for according to one kind in the multiple daily physical sign parameters, behavioral statistics parameter and diagnosis information or more
Kind parameter classifies user；
Data processing module, at least one crucial physical sign parameters for obtaining any kind user and the crucial sign
The value range of parameter is simultaneously sent to terminal user；The sort module includes：
First acquisition unit, for according to one kind in the daily physical sign parameters, behavioral statistics parameter and diagnosis information or more
K-th of classification point parameter A of kind parameter acquiring j-th stagejAnd corresponding classification point value aj, wherein j and k are positive integer；
First taxon, for according to the AjAnd ajUser is divided into first kind user and the second class user；
Second acquisition unit, for according to one kind in the daily physical sign parameters, behavioral statistics parameter and diagnosis information or more
Kind parameter, obtains the classification point parameter A1 of+1 grade of the jth of the first kind user and the second class user respectivelyj+1And A2j+1And its
Corresponding classification point value a1j+1And a2j+1, wherein A1j+1And A2j+1It is different from the 1st grade~classification point parameter of j-th stage；
Second taxon, for according to the parameter A1j+1And A2j+1And corresponding a1j+1And a2j+1Respectively by first kind user
It is further divided into two classes with the second class user；The first acquisition unit is further used for：
List one or more parameters in the multiple daily physical sign parameters, behavioral statistics parameter and diagnosis information, i-th of ginseng
Number scale is Ai, i is positive integer；
According to k-th of object function of preset j-th stage, obtain respectively every in addition to the classification of the 1st grade~-1 grade of jth point parameter
The target function value of all values of one parameter, wherein k are positive integer；
From all target function values of acquisition, maximum target functional value or the corresponding parameter A of minimum target functional value are obtainedjAnd
Its value aj。
7. device as claimed in claim 6, which is characterized in that the second acquisition unit is further used for：
According to m-th of the object function and n-th of object function of+1 grade of preset jth, obtain respectively the first kind user and
The corresponding parameter A of second class useriAll values target function value, wherein parameter AjIn do not include the 1st grade~j-th stage
Classification point parameter, m and n are positive integer；
First kind user from the acquisition and the corresponding parameter A of the second class useriAll values target function value in, point
It Huo Qu not first kind user and the corresponding maximum or corresponding parameter A1 of minimum target functional value of the second class userj+1And A2j+1And
Its value a1j+1And a2j+1。
8. device as claimed in claim 6, which is characterized in that the data processing module is further used for：
According to the state of an illness of each type of user or health and fitness information the type is selected from all classification point parameters of the type user
The crucial physical sign parameters of user, and using the classification for the classification point parameter selected point value as the critical of crucial physical sign parameters
Value is sent to terminal user.
9. a kind of data processing equipment is applied to end side, which is characterized in that including：
First acquisition module, at least one crucial physical sign parameters for obtaining the transmission of health system platform and crucial physical sign parameters
Value range；
Second acquisition module, the daily physical sign parameters and/or behavioral statistics parameter for obtaining user and/or diagnosis information；
Prediction module, for according to one or more ginsengs in the daily physical sign parameters, behavioral statistics parameter and diagnosis information
Number obtains the predicted value of the crucial physical sign parameters；
Alarm module, the predicted value for any crucial physical sign parameters is when except the value range of crucial physical sign parameters, to institute
It states health system platform and/or terminal sends warning message；The prediction module includes：
Model foundation unit, for according to one kind in the daily physical sign parameters, behavioral statistics parameter and diagnosis information or more
Kind parameter by Model Identification, is determined rank and parameter Estimation, Model Diagnosis inspection, establishes and joined with daily physical sign parameters, behavioral statistics
One or more parameters in number and diagnosis information are input, and crucial physical sign parameters are the autoregressive moving average ARMA moulds of output
Type；
Predicted value acquiring unit, the predicted value for obtaining the crucial physical sign parameters using the model of foundation.
10. device as claimed in claim 9, which is characterized in that the prediction module further includes：
Optimize unit, for will be before n-th day and include n-th day daily physical sign parameters, behavioral statistics parameter and diagnosis information
In a kind of parameter or the value of many kinds of parameters input in the model, obtain the predicted value of (n+1)th day crucial physical sign parameters,
Wherein, n is positive integer；
If the actual test value of the predicted value of the (n+1)th day crucial physical sign parameters obtained and (n+1)th day crucial physical sign parameters
Difference do not meet preset standard, the model is recalculated according to the actual test value of described (n+1)th day crucial physical sign parameters
Relevant parameter.
11. a kind of health system platform, which is characterized in that include the data processing dress as described in claim 6~8 any one
It sets.
12. a kind of terminal, which is characterized in that include the data processing equipment as described in claim 9~10 any one.
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| CN111755086A (en) * | 2020-06-28 | 2020-10-09 | 平安科技（深圳）有限公司 | Data anomaly detection method and device |
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