CN110047593A - Disease popularity season grade determination method, apparatus, equipment and readable storage medium storing program for executing - Google Patents
Disease popularity season grade determination method, apparatus, equipment and readable storage medium storing program for executing Download PDFInfo
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- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
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Abstract
The present invention relates to intelligent decisions, the invention discloses determination method, apparatus, equipment and the readable storage medium storing program for executing of a kind of disease popularity season grade, the method comprising the steps of: after getting first disease index of the epidemic disease in the first preset duration, obtaining the corresponding popular season rate range of preset at least two prevalences season partitioning model；According to the upper limit value and lower limit value of each popular season rate range, the first disease index corresponding popular season grade in each popular season partitioning model is determined；According to the first disease index in each popular season partitioning model corresponding popular season grade, popular season grade locating for epidemic disease is determined by default popular season decision rule.The present invention realizes the division of the automatic popular season grade for carrying out epidemic disease, realize the automatic division for carrying out disease incidence grade, it does not need manually to divide disease incidence grade, simplifies the operating process of disease incidence grade classification, improve the efficiency of disease grade classification.
Description
Technical field
The present invention relates to intelligent Decision Technology field more particularly to a kind of determination method, apparatus of disease popularity season grade,
Equipment and readable storage medium storing program for executing.
Background technique
Epidemic disease refers to the infectious disease that can infect numerous populations, can extensive widespread in a relatively short period of time infection
Disease, such as influenza, bird flu and hand-foot-and-mouth disease.How EARLY RECOGNITION is to epidemic disease emerging public health thing
Part, issues early warning in time, takes corresponding control measure as early as possible, and loss caused by public health emergency is preferably minimized,
It is field of public health focus of attention and the important content of hygienic emergency work for a long time.Disease incidence grade is certain
The expression of one disease occurring degree in a certain period of time, plays and gives warning in advance, prevent the significant role of disease, be control and prevention of disease
And the research contents that some research institutions pay close attention to.It for the judgement of disease grade is mentioned based on disease control professional at present
The rule or threshold value of confession directly determine that artificial subjectivity is high, and, disease too strong to the dependence of disease control professional's professional knowledge
The cumbersome and inefficiency for grade classification of falling ill.
Summary of the invention
The main purpose of the present invention is to provide a kind of determination method, apparatus of disease popularity season grade, equipment and readable
Storage medium, it is intended to the technical issues of solving the cumbersome and inefficiency of existing disease incidence grade classification.
To achieve the above object, the present invention provides a kind of determination method of disease popularity season grade, the disease popularity season
The determination method of grade comprising steps of
After getting first disease index of the epidemic disease in the first preset duration, preset at least two are obtained
The corresponding popular season rate range of popular season partitioning model；
According to the upper limit value and lower limit value of each popular season rate range, determine first disease index each
Corresponding prevalence season grade in popular season partitioning model；
According to first disease index in each popular season partitioning model corresponding popular season grade, pass through default stream
Row season, decision rule determined popular season grade locating for the epidemic disease.
Preferably, described after getting first disease index of the epidemic disease in the first preset duration, it obtains pre-
If at least two popular season partitioning models corresponding popular season rate range the step of before, further includes:
Second disease index of the epidemic disease in the second preset duration is obtained, mould is divided by the popular season
Type determines the epidemic disease corresponding popular season and non-popular season according to second disease index；
The third disease index that each popular season partitioning model corresponds to non-popular season is obtained in second disease index,
And calculate the evaluation of estimate of the third disease index；
The corresponding popular season rate range of each popular season partitioning model is calculated according to institute's evaluation values.
Preferably, each popular season partitioning model is obtained in second disease index and correspond to non-prevalence season the
Three disease indexs, and the step of calculating the evaluation of estimate of the third disease index includes:
The third disease index that each popular season partitioning model corresponds to non-popular season is obtained in second disease index,
And calculate the mean value and standard deviation of the corresponding third disease index of each popular season partitioning model；
Described the step of calculating each popular season partitioning model corresponding popular season rate range according to institute's evaluation values includes:
Determine the corresponding equivalent coefficient of each popular season grade, by the standard deviation of each popular season partitioning model multiplied by
The corresponding equivalent coefficient obtains the corresponding grade product of each popular season partitioning model；
The grade product is added into corresponding mean value, to obtain the corresponding popular season grade model of each popular season partitioning model
It encloses.
Preferably, it is described according to first disease index in each popular season partitioning model corresponding popular season etc.
Grade, include: by presetting the step of popular season decision rule determines popular season grade locating for the epidemic disease
Detect first disease index corresponding popular season grade whether not phase in each popular season partitioning model
Together；
If first disease index corresponding popular season grade in each popular season partitioning model is different from, will
First disease index popular season grade locating in popular season target partitioning model is determined as the epidemic disease institute
The popular season grade at place.
Preferably, if popular season partitioning model is that cumulative and CUSUM controls graph model, exponentially weighted moving average EWMA
Graph model and mobile percentage bit model are controlled, if then first disease index is corresponding in each popular season partitioning model
Popular season grade be different from, then popular season etc. that first disease index is locating in popular season target partitioning model
Grade the step of being determined as popular season grade locating for the epidemic disease includes:
If first disease index corresponding popular season grade in each popular season partitioning model is different from, will
First disease index popular season grade locating in CUSUM control graph model is determined as locating for the epidemic disease
Popular season grade.
Preferably, detection first disease index corresponding popular season grade in each popular season partitioning model
After the step of whether being different from, further includes:
If first disease index corresponding popular season grade at least two popular season partitioning models is identical, will
The most popular season grade of identical quantity is determined as popular season grade locating for the epidemic disease.
Preferably, it is described according to first disease index in each popular season partitioning model corresponding popular season etc.
Grade, after the step of determining popular season grade locating for the epidemic disease by default popular season decision rule, further includes:
Detect whether popular season grade locating for the epidemic disease is more than or equal to predetermined level；
If popular season grade locating for the epidemic disease be more than or equal to predetermined level, send prompt information to
Center for Disease Control's system exports the prompt so that Center for Disease Control's system is after receiving the prompt information
The corresponding staff of information alert executes prevention operation.
In addition, to achieve the above object, the present invention also provides a kind of determining device of disease popularity season grade, the diseases
The determining device of popular season grade includes:
Module is obtained, for obtaining after getting the first disease index of the epidemic disease in the first preset duration
The corresponding popular season rate range of preset at least two popular season partitioning model；
Determining module determines described first for the upper limit value and lower limit value according to each popular season rate range
Disease index corresponding popular season grade in each popular season partitioning model；According to first disease index in each prevalence
Corresponding popular season grade in season partitioning model determines stream locating for the epidemic disease by default popular season decision rule
Row season grade.
In addition, to achieve the above object, the present invention also provides a kind of disease popularity season grade locking equipment really, the diseases
Really locking equipment includes memory, processor and is stored on the memory and can transport on the processor popular season grade
The determination program of capable disease popularity season grade, it is real when the determination program of the disease popularity season grade is executed by the processor
Now the step of determination method of disease popularity season as described above grade.
In addition, to achieve the above object, it is described computer-readable the present invention also provides a kind of computer readable storage medium
The determination program of disease popularity season grade is stored on storage medium, the determination program of the disease popularity season grade is by processor
The step of determination method of disease popularity season grade as described above is realized when execution.
The present invention passes through after getting first disease index of the epidemic disease in the first preset duration, obtains default
The corresponding popular season rate range of at least two popular season partitioning models, according to the upper limit value and lower limit of popular season rate range
Value determines the first disease index corresponding popular season grade in each popular season partitioning model, according to the first disease index
Corresponding popular season grade determines popular season grade locating for epidemic disease in each popular season partitioning model, realizes certainly
The division of the dynamic popular season grade for carrying out epidemic disease realizes the automatic division for carrying out disease incidence grade, does not need
Manually disease incidence grade is divided, simplifies the operating process of disease incidence grade classification, disease grade is improved and draws
The efficiency divided.
Detailed description of the invention
Fig. 1 is the flow diagram of the determination method first embodiment of disease popularity season grade of the present invention；
Fig. 2 is the flow diagram of the determination method second embodiment of disease popularity season grade of the present invention；
Fig. 3 is the functional schematic module map of the determining device preferred embodiment of disease popularity season grade of the present invention；
Fig. 4 is the structural schematic diagram for the hardware running environment that the embodiment of the present invention is related to.
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
The present invention provides a kind of determination method of disease popularity season grade, and referring to Fig.1, Fig. 1 is disease popularity season of the present invention
The flow diagram of the determination method first embodiment of grade.
The embodiment of the invention provides the embodiments of the determination method of disease popularity season grade, it should be noted that although
Logical order is shown in flow charts, but in some cases, can be executed with the sequence for being different from herein it is shown or
The step of description.
Disease popularity season, the determination method of grade was applied in server or terminal, terminal may include such as mobile phone,
Tablet computer, laptop, palm PC, personal digital assistant (Personal Digital Assistant, PDA) etc. are moved
The fixed terminals such as dynamic terminal, and number TV, desktop computer.Disease popularity season grade determination method each reality
It applies in example, for ease of description, omits executing subject and be illustrated each embodiment, the terminal in following each embodiments is user
Held terminal.Disease popularity season, the determination method of grade included:
Step S10 is obtained preset after getting the first disease index of the epidemic disease in the first preset duration
The corresponding popular season rate range of at least two prevalence season partitioning models.
After getting epidemic disease corresponding first disease index in the first preset duration, acquisition is preset at least
The corresponding popular season rate range of two prevalence season partitioning models.Wherein, epidemic disease be can in a relatively short period of time extensively
The infectious disease of sprawling, such as influenza, bird flu and hand-foot-and-mouth disease.Various disease has different disease indexs, such as popular
Sexuality emits the number that corresponding disease index can be diagnosed as daily fever for outpatient service, as the corresponding disease index of hand-foot-and-mouth disease can be
It is diagnosed as the number of hand-foot-and-mouth disease weekly.First preset duration is arranged according to specific needs, in the present embodiment to first
The numerical value of preset duration is not particularly limited.
Popular season partitioning model include but is not limited to CUSUM (Cumulative Sum, add up and) control graph model, EWMA
(Exponentially Weighted Moving-Average, exponentially weighted moving average) controls graph model and mobile hundred
Quartile model.Wherein, CUSUM controls graph model are as follows: sets X (disease index) Normal Distribution, i.e. X~N (μ, σ), w are the time
Window length, if initial CUSUM value is C0=0, the CUSUM value of t moment are as follows: Ct=max { 0, Xt-(μw+kσw)+Ct-1, μwFor Xt-w
To XtThe mean value of moment X, σwFor standard deviation, k is design factor, and the size of k value is arranged according to specific needs, and w generally takes 7
(w can also take other numerical value as needed, such as 5 or 9), CtException is believed that when greater than threshold value H=h σ, that is, works as CtGreater than H
When, it determines in CtIn the corresponding time, epidemic disease enters popular season；Work as CtWhen less than or equal to H, determine in CtWhen to correspondence
In, epidemic disease enters non-popular season.H generally takes 1,2 or 3；σ is the variance of X totality, CtIt is based on last moment
Value generate subsequent time value, threshold value H be t moment before historical data standard deviation, as shown from the above formula, CtFor greater than 0
Numerical value, X is the disease index of corresponding time.Such as when epidemic disease is influenza, and get 15 weeks flu episode indexes
Carry out the division in influenza pandemic season and influenza non-popular season.Specifically, the 14th week CUSUM value is such as calculated, then C14=max
{0,X14-(μw+kσw)+C13, w takes 7, at this point, μwFor the mean value of the 7th week to the 13rd week this 7 inner peripheral flow sense disease index, σwIt is
The standard deviation of 7 weeks to the 13rd week this 7 inner peripheral flow sense disease index.When the CUSUM value for calculating the 14th week is greater than H, the is determined
14 weeks are influenza pandemic season；When the CUSUM value for calculating the 14th week is less than or equal to H, determine that the 14th week is influenza non-streaming
Row season.
EWMA controls graph model are as follows: sets acquired disease index Xt~N (μ, σ2), initial value Z0=X0, then t moment
EWMA value are as follows: Zt=λ × Xt+(1-λ)×Zt-1；Constant λ is weight coefficient, is generally existed
(0,1) interior value.Specifically, λ can be represented with number of days N:Such as when N=19 days, λ=0.1 is represented；K is control limit
Parameter, generally (0,3] interior value；ZtThe value of subsequent time is generated with the threshold value UCL value for being all based on last moment.As t
The EWMA value Z inscribedtWhen greater than threshold value UCL, it is believed that there are exceptions, that is, can determine in ZtIn the corresponding time, epidemic disease into
Enter popular season；As the EWMA value Z under t momenttWhen less than or equal to threshold value UCL, it may be determined that in ZtIt is popular in the corresponding time
Disease enters non-popular season.
Mobile percentage bit model are as follows: get disease index, obtain the corresponding data variation figure of disease index, become in data
Change in figure, using disease index as the longitudinal axis, the disease index corresponding time is as horizontal axis.When obtaining the corresponding data of disease index
After variation diagram, calculating each point in data variation figure becomes the probability of turning point, takes the probability as turning point to be greater than default
The point of probability is as turning point.The definition of turning point is, in time series data, if some for the previous period at time point
Distribution situation (such as mean value, variance) and the distribution situation of rear a period of time have notable difference, then this time point is exactly to turn
Break, it follows that when the mean value of time series data for the previous period and/or variance etc. with after a period of time time sequence
The mean value and/or variance difference of column data are bigger, show that corresponding points are bigger as the probability of turning point.Determining data variation figure
In turning point after, classify for turning point, mean value (mean value of the subsequent disease index of turning point) after in turning point is right
The turning point that should be greater than preceding mean value is determined as rising turning point, and rear mean value is determined as declining to the turning point that should be less than preceding mean value
Turning point.In the corresponding data variation figure of disease index, the corresponding point of a disease index.When determine rise turning point and
After declining turning point, first turning point in data variation figure is successively compared with subsequent turning point, in same type
Turning point in retain the high turning point of probability, the small turning point of probability of erasure, i.e., backward with the since first turning point
Two turning points compare, if they are same class turning point (are all rising turning point, or are all decline turning point), then
Compare probability, retains the big turning point of probability, give up the small turning point of probability, if the turning point and first turnover vertex type
Difference then all retains, to obtain lifting sequence.In the lifting sequence, rises and turn to select a little as popular season starting point, decline and turn
Break is popular season terminating point.Therefore, popular season and non-popular season be can determine by rising turning point and decline turning point.Into
One step, if some turning point and first turning point interval duration are greater than preset duration, the turning point can also be retained.
It should be noted that the corresponding popular season rate range of different prevalence season partitioning model may be it is the same, can also
It can be different.The corresponding popular season rate range of popular season partitioning model is precalculated.In embodiments of the present invention,
Popular season grade can be divided into high-grade, middle grade and inferior grade.In other embodiments, popular season grade can also be divided into
It is high-grade, in high-grade, middle grade, the middle and low grade, inferior grade and extremely low grade etc..Each popular season grade, which exists, to be corresponded to
Numberical range, when disease index is greater than zero, and is less than or equal to A, show corresponding stream such as in EWMA control graph model
Popular season grade locating for row disease is inferior grade；When disease index is greater than A, and is less than or equal to B, show corresponding stream
Popular season grade locating for row disease is middle grade；When disease index is greater than B, show stream locating for corresponding epidemic disease
Row season grade is high-grade.It is understood that A is less than B.
Step S20 determines that first morbidity refers to according to the upper limit value and lower limit value of each popular season rate range
Number corresponding popular season grade in each popular season partitioning model.
After getting each popular season partitioning model corresponding popular season rate range, the first acquired morbidity is referred to
Several upper limit values and lower limit value with each popular season rate range compare, to determine the first disease index in each popular season
Corresponding prevalence season grade in partitioning model.In the present embodiment value, when the first disease index is greater than under some popular season grade
Limit value, and when being less than or equal to upper limit value, that is, it can determine that the first disease index is in corresponding popular season grade.
Step S30, according to first disease index in each popular season partitioning model corresponding popular season grade, lead to
It crosses default popular season decision rule and determines popular season grade locating for the epidemic disease.
After determining the first disease index corresponding popular season grade in each popular season partitioning model, according to the first hair
Sick index corresponding popular season grade in each popular season partitioning model, is determined popular by preset popular season decision rule
Popular season grade locating for property disease.Wherein, popular season decision rule is arranged according to specific needs.It is understood that
Popular season higher grade locating for epidemic disease, shows that disease incidence higher grade locating for epidemic disease, popular at this time
The disease incidence of property disease is higher.
Further, step S30 includes:
Step a, detect first disease index in each popular season partitioning model corresponding popular season grade whether
It is different from.
After determining the first disease index corresponding popular season grade in each popular season partitioning model, the first hair of detection
Whether sick index corresponding popular season grade in each popular season partitioning model is different from.Such as to be drawn when there are 4 popular seasons
When sub-model, whether the first disease index of detection locating popular season grade in this 4 popular season partitioning models is different from.It can
With understanding, when there are 4 popular season partitioning models, only when there are 4 kinds or 4 kinds or more of grades for popular season grade
When, the case where just having the first disease index locating popular season grade be different from this 4 popular season partitioning models.
Step b, if first disease index corresponding popular season grade not phases in each popular season partitioning model
Together, then popular season grade that first disease index is locating in popular season target partitioning model is determined as the popularity
Popular season grade locating for disease.
If detecting, the first disease index corresponding popular season grade in each popular season partitioning model is different from,
Determine the popular season target partitioning model in prevalence season partitioning model.Wherein, popular season target partitioning model is to pre-set,
Popular season target partitioning model can be arranged in user according to their own needs.Such as CUSUM can be controlled graph model and be set as popular season
EWMA can also be controlled graph model and be set as popular season target partitioning model by target partitioning model.In embodiments of the present invention,
Target identification can be added in popular season target partitioning model, if carrying target identification in some popular season partitioning model,
It can determine prevalence season partitioning model for popular season target partitioning model.The specific table of target identification is not limited in the present embodiment
Existing form.It is after determining popular season target partitioning model, the first disease index is locating in popular season target partitioning model
Popular season grade is determined as popular season grade locating for epidemic disease.
Further, if popular season partitioning model is that CUSUM controls graph model, EWMA controls graph model and mobile percentage
Bit model, then step b include:
Step b1, if first disease index corresponding popular season grade not phases in each popular season partitioning model
Together, then first disease index popular season grade locating in CUSUM control graph model is determined as the popular disease
Popular season grade locating for disease.
In the present embodiment, there are three kinds of popular season partitioning models, respectively CUSUM controls graph model, EWMA control figure
Model and and mobile percentage bit model.Locating for for ease of description, by the first disease index in CUSUM control graph model
Popular season grade is denoted as the first estate, and the first disease index popular season grade locating in EWMA control graph model is denoted as the
First disease index popular season grade locating in mobile percentage bit model is denoted as the tertiary gradient by two grades.If detecting
The first estate, the second grade and the tertiary gradient are different from, then the first estate are determined as popular season locating for epidemic disease
First disease index popular season grade locating in CUSUM control graph model is determined as locating for epidemic disease by grade
Popular season grade.It is understood that it is popular season target partitioning model that CUSUM, which controls graph model, at this time.If first etc.
Grade be middle grade, the second grade be it is high-grade, the tertiary gradient is inferior grade, then can determine popular season etc. locating for epidemic disease
Grade is middle grade.
Further, after step a further include:
Step c, if first disease index corresponding popular season grade phase at least two popular season partitioning models
Together, then the most popular season grade of identical quantity is determined as popular season grade locating for the epidemic disease.
If it is identical to detect the first disease index corresponding popular season grade at least two popular season partitioning models, will
The most popular season grade of identical quantity is determined as popular season grade locating for epidemic disease.Such as when the first estate is medium
Grade when the second grade and the tertiary gradient are all inferior grade, determines that popular season grade locating for epidemic disease is inferior grade.Into one
Step, the popular season partitioning model of 4 or 6 equal even numbers, and the corresponding popular season grade of the first disease index if it exists
There are two classes, corresponding prevalence season grade is determined as popular disease in popular season target partitioning model by the first disease index at this time
Popular season grade locating for disease.
The present embodiment passes through after getting first disease index of the epidemic disease in the first preset duration, obtains pre-
If the corresponding popular season rate range of at least two popular season partitioning models, according to the upper limit value of popular season rate range and under
Limit value determines the first disease index corresponding popular season grade in each popular season partitioning model, to refer to according to the first morbidity
Number corresponding popular season grade in each popular season partitioning model determines popular season grade locating for epidemic disease, realizes
The division of the automatic popular season grade for carrying out epidemic disease realizes the automatic division for carrying out disease incidence grade, is not required to
Manually disease incidence grade divided, simplify the operating process of disease incidence grade classification, improve disease grade
The efficiency of division.
Further, the determination method second embodiment of disease popularity season grade of the present invention is proposed.
The determination method of the determination method second embodiment of the disease popularity season grade and the disease popularity season grade
The difference of first embodiment is, referring to Fig. 2, disease popularity season grade determination method further include:
S40 obtains second disease index of the epidemic disease in the second preset duration, is drawn by the popular season
Sub-model determines the epidemic disease corresponding popular season and non-popular season according to second disease index.
After detecting the setting instruction that popular season rate range is set, epidemic disease is obtained in the second preset duration
Disease index, be denoted as the second disease index.Wherein, setting instruction can be triggered as needed by corresponding user.Second is default
Duration can be equal with the first preset duration, can also be unequal with the first preset duration.After getting the second disease index, by
Two disease indexs are input in popular season partitioning model, to be determined in the second preset duration by the prevalence season partitioning model,
Epidemic disease corresponding popular season and non-popular season.The specific deterministic process in the popular season of epidemic disease and non-popular season is
It is described in detail in the first embodiment, details are not described herein.
S50 obtains the third morbidity that each popular season partitioning model corresponds to non-popular season in second disease index
Index, and calculate the evaluation of estimate of the third disease index.
When determining the popular season and non-streaming of the second disease index in the second preset duration in each popular season partitioning model
After row season, corresponding disease index of non-popular season is obtained in the second disease index, is denoted as third disease index, it is possible to understand that
, all there is its corresponding third disease index in each prevalence season partitioning model.If example as in the first embodiment it is found that
By CUSUM control graph model determine the 14th week for non-popular season, it is determined that the 14th week disease index is third disease index.
After getting third disease index, the evaluation of estimate of third disease index is calculated.Wherein, the evaluation of estimate of third disease index can be
Mean value, standard deviation and variance etc..
S60 calculates the corresponding popular season rate range of each popular season partitioning model according to institute's evaluation values.
After the evaluation of estimate of third disease index is calculated, each popular season partitioning model pair is calculated according to the evaluation of estimate
The popular season rate range answered.
Further, step S50 includes:
Step d obtains the third hair that each popular season partitioning model corresponds to non-popular season in second disease index
Sick index, and calculate the mean value and standard deviation of the corresponding third disease index of each popular season partitioning model.
Specifically, it sends out when getting each popular season partitioning model in the second disease index and correspond to the third in non-popular season
After sick index, mean value and standard deviation that each popular season partitioning model corresponds to third disease index are calculated.As when at 10 second
After getting the corresponding 4 third disease indexs of CUSUM control graph model in disease index, this 4 third disease indexs are calculated
Mean value and standard deviation.Wherein, mean value is average, and average is the amount number for the trend in a group data set that indicates, is referred to one
The sum of all data are again divided by the number of this group of data in group data.Standard deviation (Standard Deviation), Chinese environment
In again often claim mean square deviation, be the square root of the arithmetic average of deviation from average square.
Step S60 includes:
Step e determines the corresponding equivalent coefficient of each popular season grade, by the standard of each popular season partitioning model
Difference obtains the corresponding grade product of each popular season partitioning model multiplied by the corresponding equivalent coefficient.
Obtaining the corresponding predetermined level coefficient of each popular season grade, wherein equivalent coefficient is arranged according to specific needs,
Such as when popular season grade is divided into high-grade, middle grade and inferior grade, 6 can be set by high-grade corresponding equivalent coefficient, in
The corresponding equivalent coefficient of grade is set as 4, and the corresponding equivalent coefficient of inferior grade is set as 2.When getting each popular season grade
After corresponding equivalent coefficient, by the standard deviation of each popular season partitioning model multiplied by corresponding equivalent coefficient, each prevalence is obtained
Season the corresponding grade product of partitioning model.It is understood that the different corresponding third disease indexs of popular season partitioning model
It may be identical, it is also possible to which not identical, therefore, different popular season partitioning models corresponds to standard deviation may be identical, it is also possible to different.
In other embodiments, corresponding grade product can be obtained with median, variance etc. multiplied by corresponding equivalent coefficient.
The grade product is added corresponding mean value by step f, to obtain each popular season partitioning model corresponding popular season
Rate range.
After obtaining each popular season partitioning model corresponding grade product, by the equal factorials of each popular season partitioning model
Product adds corresponding mean value, to obtain the threshold value of the corresponding popular season grade of each popular season partitioning model, is determined according to the threshold value
Corresponding prevalence season rate range.It is understood that threshold value=mean value+equivalent coefficient × standard deviation of popular season grade.Such as work as
The threshold value for determining that EWMA control graph model corresponds to inferior grade is a, and the threshold value of middle grade is that b can be true when high-grade threshold value is c
Determine EWMA control graph model correspond to inferior grade range to be greater than zero, and less than or equal to a；Middle grade range be greater than a, and it is small
In or equal to b；High-grade range be greater than b, and be less than or equal to c.Further, high rate range can be also arranged
For greater than c.It is understood that a is greater than b, and b is greater than c.
The present embodiment passes through for epidemic disease popular season grade corresponding with popular season two dimension calculating of partitioning model
Range, the characteristics of making each popular season rate range meet each epidemic disease, it is corresponding popular to improve epidemic disease
Season grade classification accuracy rate.
Further, the determination method 3rd embodiment of disease popularity season grade of the present invention is proposed.
The determination method of the determination method 3rd embodiment of the disease popularity season grade and the disease popularity season grade
The difference of first or second embodiments is, disease popularity season grade determination method further include:
Step g, detects whether popular season grade locating for the epidemic disease is more than or equal to predetermined level.
After determining popular season grade locating for epidemic disease, whether popular season grade locating for epidemic disease is detected
More than or equal to predetermined level.Wherein, predetermined level is arranged according to specific needs, such as settable middle grade, in it is low
Grade etc..
Step h sends prompt if popular season grade locating for the epidemic disease is more than or equal to predetermined level
Information gives Center for Disease Control's system, so that Center for Disease Control's system is after receiving the prompt information, exports institute
Stating prompt information prompts corresponding staff to execute prevention operation.
If detecting, popular season grade locating for epidemic disease is more than or equal to predetermined level, sends prompt information
Give Center for Disease Control's system.After Center for Disease Control's system receives prompt information, this is exported in its display interface and is mentioned
Show information, is operated with prompting corresponding staff to execute corresponding prevention according to the prompt information.Wherein, prompt information can be with
It is exported in a manner of voice or text etc..During exporting prompt information, prevalence season locating for exportable and epidemic disease etc.
The corresponding precautionary measures of grade operate so that staff executes corresponding prevention according to the precautionary measures；It can also be prompted in output
After information, determined to execute which kind of prevention is operated by staff oneself.Further, if detecting stream locating for epidemic disease
Row season grade is less than predetermined level, then will not send prompt information and give Center for Disease Control's system, at this point, exportable popularity disease
The popular season grade that disease is presently in, so that relative users understand the popular season grade that epidemic disease is presently in.
The present embodiment by detect popular season grade locating for epidemic disease be more than or equal to predetermined level when,
It sends prompt information and gives Center for Disease Control's system, so that Center for Disease Control's system output prompt information prompts corresponding work
Personnel execute prevention operation.
In addition, the present invention also provides a kind of determining device of disease popularity season grade, the disease popularity seasons referring to Fig. 3
The determining device of grade includes:
Module 10 is obtained, for obtaining after getting the first disease index of the epidemic disease in the first preset duration
Take the corresponding popular season rate range of preset at least two prevalences season partitioning model；
Determining module 20 determines described for the upper limit value and lower limit value according to each popular season rate range
One disease index corresponding popular season grade in each popular season partitioning model；According to first disease index in each stream
Corresponding popular season grade in row season partitioning model, is determined locating for the epidemic disease by default popular season decision rule
Popular season grade.
Further, the acquisition module 10 is also used to obtain second of the epidemic disease in the second preset duration
Disease index passes through the popular season partitioning model；
The determining module 20 is also used to determine the corresponding prevalence of the epidemic disease according to second disease index
Season and non-popular season；
The acquisition module 10 be also used to obtain in second disease index each popular season partitioning model correspond to it is non-
The third disease index in popular season；
The determining device of the disease popularity season grade further include:
Computing module, for calculating the evaluation of estimate of the third disease index；Each prevalence is calculated according to institute's evaluation values
The corresponding popular season rate range of season partitioning model.
Further, the computing module is also used to calculate the corresponding third morbidity of each popular season partitioning model and refers to
Several mean values and standard deviation；
The computing module includes:
First determination unit, for determining the corresponding equivalent coefficient of each popular season grade；
Computing unit, for by the standard deviation of each popular season partitioning model multiplied by the corresponding equivalent coefficient,
Obtain the corresponding grade product of each popular season partitioning model；
The grade product is added into corresponding mean value, to obtain the corresponding popular season grade model of each popular season partitioning model
It encloses.
Further, the determining module 20 includes:
Detection unit, for detecting first disease index corresponding popular season etc. in each popular season partitioning model
Whether grade is different from；
Second determination unit, if being used for first disease index corresponding popular season in each popular season partitioning model
Grade is different from, then the popular season grade that first disease index is locating in popular season target partitioning model is determined as
Popular season grade locating for the epidemic disease.
Further, if popular season partitioning model is that cumulative and CUSUM controls graph model, exponentially weighted moving average
EWMA controls graph model and mobile percentage bit model, if then second determination unit is also used to first disease index each
Corresponding popular season grade is different from a prevalence season partitioning model, then by first disease index in CUSUM control figure
Locating popular season grade is determined as popular season grade locating for the epidemic disease in model.
Further, if second determination unit is also used to first disease index and divides at least two popular seasons
Corresponding prevalence season grade is identical in model, then the most popular season grade of identical quantity is determined as the epidemic disease institute
The popular season grade at place.
Further, the determining device of the disease popularity season grade further include:
Detection module, for detect popular season grade locating for the epidemic disease whether be more than or equal to it is default etc.
Grade；
Sending module, if being more than or equal to predetermined level for grade of popular season locating for the epidemic disease,
It sends prompt information and gives Center for Disease Control's system, so that Center for Disease Control's system is receiving the prompt information
Afterwards, exporting the prompt information prompts corresponding staff to execute prevention operation.
It should be noted that each embodiment of the determining device of disease popularity season grade and above-mentioned disease popularity season grade
Determination method each embodiment it is essentially identical, in this not go into detail.
In addition, the present invention also provides a kind of disease popularity season grade locking equipments really.As shown in figure 4, Fig. 4 is of the invention real
Apply the structural schematic diagram for the hardware running environment that a scheme is related to.
It should be noted that Fig. 4 can show for the structure of the disease popularity season grade hardware running environment of locking equipment really
It is intended to.Disease popularity season of the embodiment of the present invention grade really locking equipment can be PC, the terminal devices such as portable computer.
As shown in figure 4, locking equipment may include: processor 1001, such as CPU, storage to disease popularity season grade really
Device 1005, user interface 1003, network interface 1004, communication bus 1002.Wherein, communication bus 1002 is for realizing these groups
Connection communication between part.User interface 1003 may include display screen (Display), input unit such as keyboard
(Keyboard), optional user interface 1003 can also include standard wireline interface and wireless interface.Network interface 1004 is optional
May include standard wireline interface and wireless interface (such as WI-FI interface).Memory 1005 can be high speed RAM memory,
It is also possible to stable memory (non-volatile memory), such as magnetic disk storage.Memory 1005 optionally may be used also
To be independently of the storage device of aforementioned processor 1001.
Optionally, locking equipment can also include camera to disease popularity season grade really, (Radio Frequency, is penetrated RF
Frequently circuit), sensor, voicefrequency circuit, WiFi module etc..
It will be understood by those skilled in the art that disease popularity season grade locking equipment structure not structure really shown in Fig. 4
The restriction of pairs of disease popularity season grade locking equipment really may include or combining certain than illustrating more or fewer components
A little components or different component layouts.
As shown in figure 4, as may include that operating system, network are logical in a kind of memory 1005 of computer storage medium
Believe the determination program of module, Subscriber Interface Module SIM and disease popularity season grade.Wherein, operating system is to manage and control disease
The program of popular season grade locking equipment hardware and software resource really supports the determination program of disease popularity season grade and other
The operation of software or program.
For disease popularity season grade shown in Fig. 4 really in locking equipment, it is popular that user interface 1003 can be used for receiving setting
Season rate range setting instruction etc.；Network interface 1004 is mainly used for connecting Center for Disease Control's system etc., with disease control
Centring system etc. carries out data communication；Processor 1001 can be used for calling the disease popularity season grade stored in memory 1005
Determination program, and the step of executing the determination method of disease popularity season grade as described above.
The determination of disease popularity season grade of the present invention locking equipment specific embodiment and above-mentioned disease popularity season grade really
Each embodiment of method is essentially identical, and details are not described herein.
In addition, the embodiment of the present invention also proposes a kind of computer readable storage medium, the computer readable storage medium
On be stored with the determination program of disease popularity season grade, it is real when the determination program of the disease popularity season grade is executed by processor
Now the step of determination method of disease popularity season as described above grade.
The determination method of computer readable storage medium specific embodiment of the present invention and above-mentioned disease popularity season grade is each
Embodiment is essentially identical, and details are not described herein.
It should be noted that, in this document, the terms "include", "comprise" or its any other variant are intended to non-row
His property includes, so that the process, method, article or the device that include a series of elements not only include those elements, and
And further include other elements that are not explicitly listed, or further include for this process, method, article or device institute it is intrinsic
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including being somebody's turn to do
There is also other identical elements in the process, method of element, article or device.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can be realized by means of software and necessary general hardware platform, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on this understanding, technical solution of the present invention substantially in other words does the prior art
The part contributed out can be embodied in the form of software products, which is stored in a storage medium
In (such as ROM/RAM, magnetic disk, CD), including some instructions are used so that a terminal device (can be mobile phone, computer, clothes
Business device, air conditioner or the network equipment etc.) execute method described in each embodiment of the present invention.
The above is only a preferred embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair
Equivalent structure or equivalent flow shift made by bright specification and accompanying drawing content is applied directly or indirectly in other relevant skills
Art field, is included within the scope of the present invention.
Claims (10)
1. a kind of determination method of disease popularity season grade, which is characterized in that the determination method packet of the disease popularity season grade
Include following steps:
After getting first disease index of the epidemic disease in the first preset duration, it is popular to obtain preset at least two
Season the corresponding popular season rate range of partitioning model；
According to the upper limit value and lower limit value of each popular season rate range, determine first disease index in each prevalence
Corresponding popular season grade in season partitioning model；
According to first disease index in each popular season partitioning model corresponding popular season grade, pass through default popular season
Decision rule determines popular season grade locating for the epidemic disease.
2. the determination method of disease popularity season grade as described in claim 1, which is characterized in that described to get popularity
After the first disease index of the disease in the first preset duration, the corresponding stream of preset at least two prevalences season partitioning model is obtained
Before the step of row season rate range, further includes:
Second disease index of the epidemic disease in the second preset duration is obtained, by the popular season partitioning model,
The epidemic disease corresponding popular season and non-popular season are determined according to second disease index；
Each popular season partitioning model is obtained in second disease index and corresponds to the third disease index in non-popular season, and is counted
Calculate the evaluation of estimate of the third disease index；
The corresponding popular season rate range of each popular season partitioning model is calculated according to institute's evaluation values.
3. the determination method of disease popularity season grade as claimed in claim 2, which is characterized in that described in second morbidity
Each popular season partitioning model is obtained in index and corresponds to the third disease index in non-popular season, and calculates the third disease index
Evaluation of estimate the step of include:
Each popular season partitioning model is obtained in second disease index and corresponds to the third disease index in non-popular season, and is counted
Calculate the mean value and standard deviation of the corresponding third disease index of each popular season partitioning model；
Described the step of calculating each popular season partitioning model corresponding popular season rate range according to institute's evaluation values includes:
The corresponding equivalent coefficient of each popular season grade is determined, by the standard deviation of each popular season partitioning model multiplied by correspondence
The equivalent coefficient, obtain the corresponding grade product of each popular season partitioning model；
The grade product is added into corresponding mean value, to obtain the corresponding popular season rate range of each popular season partitioning model.
4. the determination method of disease popularity season grade as described in claim 1, which is characterized in that described according to first hair
Sick index corresponding popular season grade in each popular season partitioning model determines the stream by default popular season decision rule
The step of popular season grade locating for row disease includes:
Detect whether first disease index corresponding popular season grade in each popular season partitioning model is different from；
If first disease index corresponding popular season grade in each popular season partitioning model is different from, will be described
First disease index popular season grade locating in popular season target partitioning model is determined as locating for the epidemic disease
Popular season grade.
5. the determination method of disease popularity season grade as claimed in claim 4, which is characterized in that if popular season partitioning model is
Cumulative and CUSUM control graph model, exponentially weighted moving average EWMA control graph model and mobile percentage bit model, then it is described
If first disease index corresponding popular season grade in each popular season partitioning model is different from, by described first
Disease index popular season grade locating in popular season target partitioning model is determined as prevalence locating for the epidemic disease
The step of season grade includes:
If first disease index corresponding popular season grade in each popular season partitioning model is different from, will be described
First disease index popular season grade locating in CUSUM control graph model is determined as prevalence locating for the epidemic disease
Season grade.
6. the determination method of disease popularity season grade as claimed in claim 4, which is characterized in that detection first hair
After sick index the step of whether corresponding popular season grade is different from each popular season partitioning model, further includes:
If first disease index corresponding popular season grade at least two popular season partitioning models is identical, will be identical
The most popular season grade of quantity is determined as popular season grade locating for the epidemic disease.
7. such as the determination method of disease popularity season grade as claimed in any one of claims 1 to 6, which is characterized in that the basis
First disease index corresponding popular season grade in each popular season partitioning model, passes through default popular season decision rule
After the step of determining popular season grade locating for the epidemic disease, further includes:
Detect whether popular season grade locating for the epidemic disease is more than or equal to predetermined level；
If popular season grade locating for the epidemic disease is more than or equal to predetermined level, prompt information is sent to disease
Control centre's system exports the prompt information so that Center for Disease Control's system is after receiving the prompt information
Corresponding staff is prompted to execute prevention operation.
8. a kind of determining device of disease popularity season grade, which is characterized in that the determining device packet of the disease popularity season grade
It includes:
Module is obtained, it is default for obtaining after getting the first disease index of the epidemic disease in the first preset duration
The corresponding popular season rate range of at least two popular season partitioning models；
Determining module determines first morbidity for the upper limit value and lower limit value according to each popular season rate range
Index corresponding popular season grade in each popular season partitioning model；It is drawn according to first disease index in each popular season
Corresponding prevalence season grade in sub-model determines popular season locating for the epidemic disease by default popular season decision rule
Grade.
9. a kind of disease popularity season grade locking equipment really, which is characterized in that disease popularity season grade locking equipment packet really
Include memory, processor and be stored on the memory and can run on the processor disease popularity season grade really
Determine program, is realized when the determination program of the disease popularity season grade is executed by the processor as any in claim 1 to 7
Described in disease popularity season grade determination method the step of.
10. a kind of computer readable storage medium, which is characterized in that be stored with disease stream on the computer readable storage medium
Row season grade determination program, realize when the determination program of the disease popularity season grade is executed by processor such as claim 1
To described in any one of 7 disease popularity season grade determination method the step of.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111275121A (en) * | 2020-01-23 | 2020-06-12 | 北京百度网讯科技有限公司 | Medical image processing method and device and electronic equipment |
| CN111785386A (en) * | 2020-06-30 | 2020-10-16 | 安徽科大讯飞医疗信息技术有限公司 | Time interval dividing method, related device and readable storage medium |
| CN111785392A (en) * | 2020-07-01 | 2020-10-16 | 医渡云（北京）技术有限公司 | Population number early warning method and device, electronic equipment and computer readable medium |
| WO2021114631A1 (en) * | 2020-05-26 | 2021-06-17 | 平安科技（深圳）有限公司 | Data processing method, apparatus, electronic device, and readable storage medium |
| CN117095831A (en) * | 2023-10-17 | 2023-11-21 | 厦门畅享信息技术有限公司 | Method, system, medium and electronic equipment for monitoring sudden epidemic trend |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108597617A (en) * | 2018-04-11 | 2018-09-28 | 平安科技（深圳）有限公司 | Epidemic disease grade predicting method and device, computer installation and readable storage medium storing program for executing |
| CN108630321A (en) * | 2018-04-11 | 2018-10-09 | 平安科技（深圳）有限公司 | Forecast of epiphytotics method, computer installation and computer readable storage medium |
-
2019
- 2019-04-12 CN CN201910298536.9A patent/CN110047593A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108597617A (en) * | 2018-04-11 | 2018-09-28 | 平安科技（深圳）有限公司 | Epidemic disease grade predicting method and device, computer installation and readable storage medium storing program for executing |
| CN108630321A (en) * | 2018-04-11 | 2018-10-09 | 平安科技（深圳）有限公司 | Forecast of epiphytotics method, computer installation and computer readable storage medium |
Non-Patent Citations (1)
| Title |
|---|
| 吴殚等: "利用CUSUM和EWMA模型法探测流感流行起始预警", 《中国公共卫生管理》 * |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111275121A (en) * | 2020-01-23 | 2020-06-12 | 北京百度网讯科技有限公司 | Medical image processing method and device and electronic equipment |
| CN111275121B (en) * | 2020-01-23 | 2023-07-18 | 北京康夫子健康技术有限公司 | Medical image processing method and device and electronic equipment |
| WO2021114631A1 (en) * | 2020-05-26 | 2021-06-17 | 平安科技（深圳）有限公司 | Data processing method, apparatus, electronic device, and readable storage medium |
| CN111785386A (en) * | 2020-06-30 | 2020-10-16 | 安徽科大讯飞医疗信息技术有限公司 | Time interval dividing method, related device and readable storage medium |
| CN111785386B (en) * | 2020-06-30 | 2024-04-05 | 讯飞医疗科技股份有限公司 | Time interval division method, related device and readable storage medium |
| CN111785392A (en) * | 2020-07-01 | 2020-10-16 | 医渡云（北京）技术有限公司 | Population number early warning method and device, electronic equipment and computer readable medium |
| CN111785392B (en) * | 2020-07-01 | 2024-02-09 | 医渡云（北京）技术有限公司 | Population quantity early warning method and device, electronic equipment and computer readable medium |
| CN117095831A (en) * | 2023-10-17 | 2023-11-21 | 厦门畅享信息技术有限公司 | Method, system, medium and electronic equipment for monitoring sudden epidemic trend |
| CN117095831B (en) * | 2023-10-17 | 2024-01-16 | 厦门畅享信息技术有限公司 | Method, system, medium and electronic equipment for monitoring sudden epidemic trend |
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Application publication date: 20190723 |