CN110299204A - A kind of myopia control effect prediction technique and system - Google Patents
A kind of myopia control effect prediction technique and system Download PDFInfo
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- CN110299204A CN110299204A CN201910595285.0A CN201910595285A CN110299204A CN 110299204 A CN110299204 A CN 110299204A CN 201910595285 A CN201910595285 A CN 201910595285A CN 110299204 A CN110299204 A CN 110299204A
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
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- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
Abstract
The invention discloses a kind of near-sighted control effect prediction technique and systems, can accurately and effectively predict near-sighted control effect.Near-sighted control effect prediction technique includes: to obtain the risks of myopia index value and near-sighted prevention and control index value of near-sighted prevention and control target, risks of myopia index value is used to indicate that near-sighted prevention and control target to suffer from the risk of myopia, and near-sighted prevention and control index value is used to indicate the prevention and control dynamics of the near-sighted prevention and control strategy of near-sighted prevention and control target；According to risks of myopia index value and near-sighted prevention and control index value, near-sighted prevention and control effect value is calculated；It is predicted to obtain the near-sighted control effect of near-sighted prevention and control target according to near-sighted prevention and control effect value.
Description
Technical field
The present invention relates to ophthalmic medical fields, more particularly to a kind of near-sighted control effect prediction technique and system.
Background technique
Myopia is the most common disease of Clinical Ophthalmology outpatient service, maximum to personal, society, national bring negative effect.
According to the statistics of the World Health Organization, China has become countries most with myopia population in the world.China is green at present few according to statistics
Year, child myopia ratio was up to 53.6%, and be presented becomes younger and high myopia ratio increases two major features, has seriously affected me
Vision Health, learning life and the employment of state's youngsters and children are become a useful person, and are the big problems for being related to country and name race.Due to close
Depending on being the prediction as caused by Other Risk Factors collective effect, therefore to near-sighted preventing control method or tool control effect, very greatly
Degree also depends on whether it can effectively improve the influence of these risk factors, and needs whole to standardize in a manner of quantifying
A prediction process.
The near-sighted control effect prediction technique of existing evaluation includes empirical method and evidence-based method, and empirical method is mainly passed through according to individual
It tests and evidence-based method is mainly by referring to previous section to be predicted roughly to the control effect of used near-sighted preventing control method or tool
It learns and studies evidence obtained, more accurate prediction is carried out to the control effect of used near-sighted preventing control method or tool.
But empirical method places one's entire reliance upon and predicts the passing experience of people, lacks scientific evidence and supports, and predicts that process lacks
Weary quantized data can not standardize application；The result of study of evidence-based method there are the feature that sample relies on, cause prediction result due to
Referring to the difference of result of study, it is difficult to being consistent property, and since the method for near-sighted prevention and control is varied, science at this stage
Research can not be accomplished to carry out all standing to all preventing control methods or tool combinations, so that it is difficult to do for multi-method Synthetical prevention
Effective prediction out, in addition the near-sighted risk factor degree of exposure of Different Individual has apparent difference, therefore near-sighted between individual
Occurrence and development risk exist different, and predict near-sighted control effect using evidence-based method, the individual spy for the person of being predicted will be ignored
Sign, and only predicted by the previous studies result based on group, it will lead to the inaccuracy of prediction result.
Summary of the invention
The object of the present invention is to provide a kind of near-sighted control effect prediction technique and systems, can accurately and effectively predict
Near-sighted control effect out.
First aspect present invention provides a kind of near-sighted control effect prediction technique, comprising:
The risks of myopia index value and near-sighted prevention and control index value, risks of myopia index value for obtaining near-sighted prevention and control target are used for table
Show that near-sighted prevention and control target suffers from the risk of myopia, near-sighted prevention and control index value is used to indicate the near-sighted prevention and control plan of near-sighted prevention and control target
Prevention and control dynamics slightly；
According to risks of myopia index value and near-sighted prevention and control index value, near-sighted prevention and control effect value is calculated；
It is predicted to obtain the near-sighted control effect of near-sighted prevention and control target according to near-sighted prevention and control effect value.
Further, the risks of myopia index value and near-sighted prevention and control index value of near-sighted prevention and control target are obtained, comprising:
Obtain the eye parameter and environmental parameter of near-sighted prevention and control target；
According to eye parameter and environmental parameter, the risks of myopia factor of myopia prevention and control target is determined；
According to preset risk index computation rule and risks of myopia factor, risks of myopia index value is calculated；
Near-sighted prevention and control strategy is formulated according to risks of myopia factor；
According to preset prevention and control index computation rule and near-sighted prevention and control strategy, near-sighted prevention and control index value is calculated.
Further, according to risks of myopia index value and near-sighted prevention and control index value, near-sighted prevention and control effect value is calculated, wraps
It includes:
The difference for calculating risks of myopia index value and near-sighted prevention and control index value, takes the difference as near-sighted prevention and control effect value；
Or,
The ratio for calculating risks of myopia index and near-sighted prevention and control index value, using ratio as near-sighted prevention and control effect value.
Further, according to risks of myopia index value and near-sighted prevention and control index value, near-sighted prevention and control effect value is calculated, wraps
It includes:
Obtain the risk correction coefficient of risks of myopia index value and the prevention and control correction coefficient of near-sighted prevention and control index value；
The product for calculating risks of myopia index value and risk correction coefficient, obtains the first index value；
The product for calculating near-sighted prevention and control index value and prevention and control correction coefficient, obtains the second index value；
The difference for calculating the first index value Yu the second index value takes the difference as near-sighted prevention and control effect value；
Or,
The ratio for calculating the first index value Yu the second index value, using ratio as near-sighted prevention and control effect value.
Further, it is predicted to obtain the near-sighted control effect of near-sighted prevention and control target according to near-sighted prevention and control effect value, comprising:
Judge effects preset section locating for near-sighted prevention and control effect value, and by effects preset locating for near-sighted prevention and control effect value
As target effect section, effects preset section includes at least two in section, and different effects preset sections corresponds to different close
Depending on control effect；
Determine the corresponding near-sighted control effect in target effect section.
Second aspect of the present invention provides a kind of near-sighted control effect forecasting system, comprising:
Module is obtained, for obtaining the risks of myopia index value and near-sighted prevention and control index value of near-sighted prevention and control target, near-sighted wind
Dangerous index value is used to indicate that near-sighted prevention and control target to suffer from the risk of myopia, and near-sighted prevention and control index value is for indicating near-sighted prevention and control mesh
The prevention and control dynamics of target myopia prevention and control strategy；
Effect computing module, for near-sighted prevention and control to be calculated according to risks of myopia index value and near-sighted prevention and control index value
Effect value；
Prediction module obtains the near-sighted control effect of near-sighted prevention and control target for predicting according to near-sighted prevention and control effect value.
Further, obtaining module includes:
Parameter acquiring unit, for obtaining the eye parameter and environmental parameter of near-sighted prevention and control target；
Risk determination unit, for according to eye parameter and environmental parameter, determine the risks of myopia of myopia prevention and control target because
Element；
Risk Calculation unit, for myopia to be calculated according to preset risk index computation rule and risks of myopia factor
Risk index value；
Policy making unit, for formulating near-sighted prevention and control strategy according to risks of myopia factor；
Prevention and control computing unit is also used to be calculated close according to preset prevention and control index computation rule and near-sighted prevention and control strategy
Depending on prevention and control index value.
Further, effect computing module includes:
First computing unit takes the difference as calculating the difference of risks of myopia index value and near-sighted prevention and control index value
Near-sighted prevention and control effect value；
Or,
Second computing unit, for calculating the ratio of risks of myopia index and near-sighted prevention and control index value, using ratio as close
Depending on prevention and control effect value.
Further, effect computing module includes:
Coefficient acquiring unit, for obtaining the risk correction coefficient of risks of myopia index value and preventing for near-sighted prevention and control index value
Control correction coefficient；
First exponent calculation unit is also used to calculate the product of risks of myopia index value and risk correction coefficient, obtains
One index value；
Second exponent calculation unit is also used to calculate the product of near-sighted prevention and control index value and prevention and control correction coefficient, obtains
Two index values；
First effect computing unit takes the difference as myopia for calculating the difference of the first index value Yu the second index value
Prevention and control effect value；
Or,
Second effect computing unit, for calculating the ratio of the first index value Yu the second index value, using ratio as myopia
Prevention and control effect value.
Further, prediction module includes:
Judging unit, for judging effects preset section locating for near-sighted prevention and control effect value, and by near-sighted prevention and control effect value
Locating effects preset section is as target effect section, and effects preset section includes at least two, different effects preset areas
Between correspond to different near-sighted control effects；
Effect determination unit, for determining the corresponding near-sighted control effect in target effect section.
Therefore near-sighted control effect prediction technique of the invention refers to first to obtain the risks of myopia of near-sighted prevention and control target
Numerical value and near-sighted prevention and control index value, risks of myopia index value are used to indicate that near-sighted prevention and control target to suffer from the risk of myopia, myopia
Prevention and control index value is used to indicate the prevention and control dynamics of the near-sighted prevention and control strategy of near-sighted prevention and control target, according to risks of myopia index value and closely
Depending on prevention and control index value, near-sighted prevention and control effect value is calculated, is predicted to obtain near-sighted prevention and control target according to near-sighted prevention and control effect value
Near-sighted control effect.By the calculating of risks of myopia index value and near-sighted prevention and control index value, to calculate near-sighted prevention and control effect value
It predicts control effect, prediction process has been subjected to effective quantization and standardization, compared with empirical method, it is pre- to have avoided empirical method
The uncertainty of survey increases the science of prediction；Compared with evidence-based method, avoids and the knot that may cause is predicted based on group feature
Fruit inaccuracy；There is no the sample Dependence Problem of scientific research, prediction result is more with consistency；And it is any more to be suitable for prediction
Synthetical prevention effect under kind method or tool combinations, all methods or tool combinations can not be covered entirely by solving evidence-based method
The problem of lid, application range are wider.Therefore, near-sighted control effect prediction technique and system of the invention, can be accurate and effective
Predict near-sighted control effect.
Detailed description of the invention
It to describe the technical solutions in the embodiments of the present invention more clearly, below will be to institute in the prior art and embodiment
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the invention
Example, for those of ordinary skill in the art, without creative efforts, can also obtain according to these attached drawings
Obtain other attached drawings.
Fig. 1 is the flow diagram of one embodiment of near-sighted control effect prediction technique provided by the invention；
Fig. 2 is the flow diagram of another embodiment of near-sighted control effect prediction technique provided by the invention；
Fig. 3 is the flow diagram of another embodiment of near-sighted control effect prediction technique provided by the invention；
Fig. 4 is the flow diagram of the further embodiment of near-sighted control effect prediction technique provided by the invention；
Fig. 5 is the structural schematic diagram of one embodiment of near-sighted control effect forecasting system provided by the invention；
Fig. 6 is the structural schematic diagram of another embodiment of near-sighted control effect forecasting system provided by the invention；
Fig. 7 is the structural schematic diagram of another embodiment of near-sighted control effect forecasting system provided by the invention；
Fig. 8 is the structural schematic diagram of one embodiment of effect computing module provided by the invention；
Fig. 9 is the structural schematic diagram of the further embodiment of near-sighted control effect forecasting system provided by the invention.
Specific embodiment
Core of the invention is to provide a kind of near-sighted control effect prediction technique and system, can accurately and effectively predict
Near-sighted control effect out.
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
Myopia refers to: for human eye in the state that adjusting is loosened, parallel rays focuses on retina after eye refraction system
Before.
Since myopia is to imitate as caused by Other Risk Factors collective effect to near-sighted preventing control method or tool prevention and control
The prediction of fruit, largely also depends on whether it can effectively improve the influence of these risk factors, and needs to quantify
Mode standardizes entire prediction process.
The near-sighted control effect prediction technique of existing evaluation includes empirical method and evidence-based method:
Empirical method: it is mainly carried out according to control effect of the personal experience to used near-sighted preventing control method or tool rough
Prediction, prediction result depend on dopester and undergo to the degree of understanding of this method or tool, passing use, and to the person of being predicted
The degree of understanding of personal feature relevant to near-sighted risk factor.
Evidence-based method: mainly by referring to previous scientific research evidence obtained, to used near-sighted preventing control method or
The control effect of tool carries out more accurate prediction, and prediction result depends on the researching and designing type of previous scientific literature, research
The reliability of quality, sample characteristics and data.
But although empirical method can be according to the degree of exposure and selected myopia of the person's of being predicted myopia risk factor
Preventing control method or tool, to predict control effect, but the prediction technique places one's entire reliance upon and predicts the passing experience of people, lacks science
Evidence is supported, and predicts that process lacks quantized data, can not standardize application；
Although the successes achieved in research of the evidence-based method based on passing high quality, the research of scientific research all groups, grind
Studying carefully result, there are the features that sample relies on, therefore result of study has a certain difference, this causes prediction result to be ground due to reference
Study carefully the difference of result, it is difficult to being consistent property；Simultaneously as the method for near-sighted prevention and control is varied, scientific research at this stage
It can not accomplish to carry out all standing to all preventing control methods or tool combinations, so that it is difficult to make for multi-method Synthetical prevention
The prediction of effect；In addition, the near-sighted risk factor degree of exposure of Different Individual has apparent difference, therefore hair near-sighted between individual
There is difference in raw developing risk, and near-sighted control effect is predicted using evidence-based method, will ignore the personal feature for the person of being predicted, and
It is only predicted by the previous studies result based on group, will lead to the inaccuracy of prediction result.
It can be seen that current empirical method and evidence-based method all can not accurately and effectively predict near-sighted control effect.
In order to solve the problems, such as that current empirical method and evidence-based method exist, the present invention provides a kind of near-sighted control effects to predict
Method and system are illustrated with the following examples.
Referring to Fig. 1, the embodiment of the present invention provides a kind of near-sighted control effect prediction technique, comprising:
101, the risks of myopia index value and near-sighted prevention and control index value, risks of myopia index value for obtaining near-sighted prevention and control target are used
The risk of myopia is suffered from the near-sighted prevention and control target of expression, near-sighted prevention and control index value is used to indicate that the myopia of near-sighted prevention and control target to be anti-
Control the prevention and control dynamics of strategy；
In the present embodiment, near-sighted prevention and control target can be individual, be also possible to a group, for example, learning just for one
It is raw, then near-sighted prevention and control target is exactly a people；Or it is directed to a class, then near-sighted prevention and control target is exactly more people.Myopia
What risk index indicated is the risk that near-sighted prevention and control target suffers from myopia, and risks of myopia index value is exactly to indicate near-sighted prevention and control target
Suffer from the risk of myopia；Near-sighted prevention and control index is used to indicate the prevention and control degree of the near-sighted prevention and control strategy of near-sighted prevention and control target, closely
The prevention and control dynamics of the near-sighted prevention and control strategy of near-sighted prevention and control target is just intended to indicate that depending on prevention and control index value.Near-sighted prevention and control strategy is specific
It can be one or near-sighted preventing control method or near-sighted prevention and control tool, be not specifically limited herein.Risks of myopia index value and myopia
Prevention and control index values can be to be calculated in real time, be also possible to it is pre-set after the value that inputs.
102, according to risks of myopia index value and near-sighted prevention and control index value, near-sighted prevention and control effect value is calculated；
In the present embodiment, since risks of myopia index value indicates that near-sighted prevention and control target suffers from the risk of myopia, myopia is anti-
Controlling index value indicates the prevention and control dynamics of near-sighted prevention and control strategy of near-sighted prevention and control target, then comprehensive risks of myopia index value and myopia
Prevention and control index value can effectively predict near-sighted control effect and need to quantify near-sighted control effect by close
Depending on risk index value and near-sighted prevention and control index value carry out that near-sighted prevention and control effect value is calculated.
103, it is predicted to obtain the near-sighted control effect of near-sighted prevention and control target according to near-sighted prevention and control effect value.
In the present embodiment, in above step 102, it is calculated according to risks of myopia index value and near-sighted prevention and control index value
After near-sighted prevention and control effect value, pass through historical experience or pre-set rule, it will be able to pre- according to near-sighted prevention and control effect value
Measure the near-sighted control effect of near-sighted prevention and control target.
In the embodiment of the present invention, the risks of myopia index value and near-sighted prevention and control index value of near-sighted prevention and control target are first obtained, closely
It is used to indicate that near-sighted prevention and control target to suffer from the risk of myopia depending on risk index value, near-sighted prevention and control index value is for indicating that myopia is anti-
The prevention and control dynamics for controlling the near-sighted prevention and control strategy of target is calculated close according to risks of myopia index value and near-sighted prevention and control index value
Depending on prevention and control effect value, predicted to obtain the near-sighted control effect of near-sighted prevention and control target according to near-sighted prevention and control effect value.Pass through near-sighted wind
The calculating of dangerous index value and near-sighted prevention and control index value will be predicted to calculate near-sighted prevention and control effect value to predict control effect
The effective quantization of Cheng Jinhang and standardization avoid the uncertainty of empirical method prediction, increase prediction compared with empirical method
Science；Compared with evidence-based method, the result inaccuracy that may cause based on group feature prediction is avoided；There is no scientific researches
Sample Dependence Problem, prediction result is more with consistency；And it is suitable for predict comprehensive under arbitrarily a variety of methods or tool combinations
Control effect is closed, solves the problems, such as that evidence-based method can not carry out all standing to all methods or tool combinations, application range is wider.
Therefore, near-sighted control effect prediction technique and system of the invention, can accurately and effectively predict near-sighted control effect.
In the embodiment shown in figure 1 above, only risks of myopia index value and near-sighted prevention and control index value are defined,
Specific numerical value is not being described in detail of how obtaining, and is illustrated below by embodiment.
Referring to Fig. 2, the embodiment of the present invention provides a kind of near-sighted control effect prediction technique, comprising:
201, the eye parameter and environmental parameter of near-sighted prevention and control target are obtained；
In the present embodiment, in order to determine whether near-sighted prevention and control target has the risk of myopia, and taken precautions against, it is necessary to first
It determines its eye parameter, and comprehensively considers the environmental parameter of local environment, for example, being with the be in scene of study of student
Then example detects the environmental parameters such as the intensity of light and brightness in academic environment firstly, detecting the eye parameter of the student.
202, according to eye parameter and environmental parameter, the risks of myopia factor of myopia prevention and control target is determined；
In the present embodiment, comprehensive descision is carried out according to eye parameter and environmental parameter, determines that the student may suffer from myopia
Risks of myopia factor, for example, the eye distance of reading is too short, brightness of light not enough etc..
203, according to preset risk index computation rule and risks of myopia factor, risks of myopia index value is calculated；
In the present embodiment, preset risk index computation rule be it is pre-set, specifically can be to different risks of myopia
Identical value or different values is arranged in factor, different weighted values can also be arranged for different risks of myopia factors, lead to
Risks of myopia index value can be calculated by crossing risks of myopia factor and preset risk index computation rule.
204, near-sighted prevention and control strategy is formulated according to risks of myopia factor；
In the present embodiment, for different risks of myopia factors, different near-sighted preventing control method and/or myopia can choose
Prevention and control tool, so that near-sighted prevention and control strategy is formulated, for example, risks of myopia factor is " brightness of light is inadequate ", so that it may increase
Near-sighted prevention and control tool " eye-protecting lamp ".
205, according to preset prevention and control index computation rule and near-sighted prevention and control strategy, near-sighted prevention and control index value is calculated；
In the present embodiment, preset prevention and control index computation rule be it is pre-set, specifically can be anti-to different myopia
Identical value or different values is arranged in prosecutor method and near-sighted prevention and control tool, can also be the different different anti-prosecutors of myopia
Different weighted values is arranged in method and near-sighted prevention and control tool, can be counted by preset prevention and control index computation rule and near-sighted prevention and control strategy
Calculate near-sighted prevention and control index value.
206, according to risks of myopia index value and near-sighted prevention and control index value, near-sighted prevention and control effect value is calculated；
In the present embodiment, specific details refer to the step 102 of embodiment illustrated in fig. 1.
207, it is predicted to obtain the near-sighted control effect of near-sighted prevention and control target according to near-sighted prevention and control effect value.
In the present embodiment, specific details refer to the step 103 of embodiment illustrated in fig. 1.
Near-sighted prevention and control are not illustrated in the step 102 and step 206 in figure 1 above and embodiment shown in Fig. 2
The detailed calculating step of effect value, and also do not illustrated in step 103 and step 207 and how to predict to obtain near-sighted prevention and control
Effect obtains near-sighted control effect to the calculating and prediction of near-sighted prevention and control effect value below by embodiment and carries out specifically
It is bright.
Referring to Fig. 3, the embodiment of the present invention provides a kind of near-sighted control effect prediction technique, comprising:
301, the eye parameter and environmental parameter of near-sighted prevention and control target are obtained；
In the present embodiment, specific details refer to the step 201 of embodiment illustrated in fig. 2.
302, according to eye parameter and environmental parameter, the risks of myopia factor of myopia prevention and control target is determined；
In the present embodiment, specific details refer to the step 202 of embodiment illustrated in fig. 2.
303, according to preset risk index computation rule and risks of myopia factor, risks of myopia index value is calculated；
In the present embodiment, specific details refer to the step 203 of embodiment illustrated in fig. 2.
304, near-sighted prevention and control strategy is formulated according to risks of myopia factor；
In the present embodiment, specific details refer to the step 204 of embodiment illustrated in fig. 2.
305, according to preset prevention and control index computation rule and near-sighted prevention and control strategy, near-sighted prevention and control index value is calculated；
In the present embodiment, specific details refer to the step 205 of embodiment illustrated in fig. 2.
306, the difference for calculating risks of myopia index value and near-sighted prevention and control index value, takes the difference as near-sighted prevention and control effect
Value；Or, the ratio of risks of myopia index and near-sighted prevention and control index value is calculated, using ratio as near-sighted prevention and control effect value；
In the present embodiment, the acquisition modes of near-sighted prevention and control effect value include the following two kinds:
(1), the difference for calculating risks of myopia index value and near-sighted prevention and control index value, takes the difference as near-sighted prevention and control effect
Value；
(2), the ratio for calculating risks of myopia index and near-sighted prevention and control index value, using ratio as near-sighted prevention and control effect value.
Select one of (1) and (2) as calculation method, to obtain near-sighted prevention and control effect value.
307, judge effects preset section locating for near-sighted prevention and control effect value, and will be preset locating for near-sighted prevention and control effect value
Effect section is as target effect section；
In the present embodiment, effects preset section be it is pre-set, specifically can be at least two different value intervals,
Assuming that first interval is greater than equal to 0, second interval is less than 0, if near-sighted prevention and control effect value is -1, then it represents that second interval
It is target effect section.
308, the corresponding near-sighted control effect in target effect section is determined.
In the present embodiment, when presetting effects preset section, the corresponding near-sighted control effect of setting first interval is
Effectively, the corresponding near-sighted control effect of setting second interval is invalid, then target effect section is the secondth area in step 307
Between, near-sighted control effect is exactly invalid.It should be noted that in step 307 effects preset section only with two illustrate into
Row explanation, in practical application, effects preset section can be 2 or more, and in practical applications, and near-sighted control effect can be with
It is divided into 2 or more, can specifically there is invalid, inefficient, middle effect, efficient etc..
In the embodiment shown in figure 3 above, in the calculation of near-sighted prevention and control effect value include difference and two kinds of ratio,
Calculation is relatively easy, and the precision of numerical value not can guarantee, and in order to increase the precision of numerical value, correction system can also be added
Number, specific as follows:
Referring to Fig. 4, the embodiment of the present invention provides a kind of near-sighted control effect prediction technique, comprising:
401, the eye parameter and environmental parameter of near-sighted prevention and control target are obtained；
In the present embodiment, specific details refer to the step 201 of embodiment illustrated in fig. 2.
402, according to eye parameter and environmental parameter, the risks of myopia factor of myopia prevention and control target is determined；
In the present embodiment, specific details refer to the step 202 of embodiment illustrated in fig. 2.
403, according to preset risk index computation rule and risks of myopia factor, risks of myopia index value is calculated；
In the present embodiment, specific details refer to the step 203 of embodiment illustrated in fig. 2.
404, near-sighted prevention and control strategy is formulated according to risks of myopia factor；
In the present embodiment, specific details refer to the step 204 of embodiment illustrated in fig. 2.
405, according to preset prevention and control index computation rule and near-sighted prevention and control strategy, near-sighted prevention and control index value is calculated；
In the present embodiment, specific details refer to the step 205 of embodiment illustrated in fig. 2.
406, the risk correction coefficient of risks of myopia index value and the prevention and control correction coefficient of near-sighted prevention and control index value are obtained；
In the present embodiment, the acquisition modes of risk correction coefficient, specifically can be according to risks of myopia index it is theoretical most
Big value is calculated, for example, risk correction coefficient A=the theoretical maximum of risks of myopia index (10 divided by)；Prevention and control correction system
Several acquisition modes specifically can be and are calculated according to the theoretical maximum of near-sighted prevention and control index, for example, prevention and control correction coefficient
The B=theoretical maximum of near-sighted prevention and control index (10 divided by).
407, the product for calculating risks of myopia index value and risk correction coefficient, obtains the first index value；
In the present embodiment, risks of myopia index value is multiplied with risk correction coefficient, the first index value is calculated.
408, the product for calculating near-sighted prevention and control index value and prevention and control correction coefficient, obtains the second index value；
In the present embodiment, near-sighted prevention and control index value is multiplied with prevention and control correction coefficient, the second index value is calculated.
It should be noted that the execution sequence of step 407 and step 408 is without limitation, it is also possible to first carry out step
408, then execute step 407 or step 407 and step 408 is performed simultaneously.
409, the difference for calculating the first index value and the second index value, takes the difference as near-sighted prevention and control effect value；Or, calculating
The ratio of first index value and the second index value, using ratio as near-sighted prevention and control effect value；
In the present embodiment, the calculation of near-sighted prevention and control effect value includes the following two kinds:
(1), the difference for calculating the first index value and the second index value, takes the difference as near-sighted prevention and control effect value；
(2), the ratio for calculating the first index value and the second index value, using ratio as near-sighted prevention and control effect value.
Select one of (one) and (two) as calculation method, to obtain near-sighted prevention and control effect value.
410, judge effects preset section locating for near-sighted prevention and control effect value, and will be preset locating for near-sighted prevention and control effect value
Effect section is as target effect section；
In the present embodiment, specific details refer to the step 307 of embodiment illustrated in fig. 3.
411, the corresponding near-sighted control effect in target effect section is determined.
In the present embodiment, specific details refer to the step 308 of embodiment illustrated in fig. 3.
Near-sighted control effect prediction technique is described in detail in above embodiments, the myopia control effect is pre- to application below
The near-sighted control effect forecasting system of survey method is illustrated.
Referring to Fig. 5, the embodiment of the present invention provides a kind of near-sighted control effect forecasting system, comprising:
Module 501 is obtained, for obtaining the risks of myopia index value and near-sighted prevention and control index value of near-sighted prevention and control target, myopia
Risk index value is used to indicate that near-sighted prevention and control target to suffer from the risk of myopia, and near-sighted prevention and control index value is for indicating near-sighted prevention and control
The prevention and control dynamics of the near-sighted prevention and control strategy of target；
Effect computing module 502, for it is anti-that myopia to be calculated according to risks of myopia index value and near-sighted prevention and control index value
Control effect value；
Prediction module 503 obtains the near-sighted control effect of near-sighted prevention and control target for predicting according to near-sighted prevention and control effect value.
In the embodiment of the present invention, acquisition module 501 first obtains the risks of myopia index value of near-sighted prevention and control target and myopia is prevented
Index value is controlled, risks of myopia index value is used to indicate that near-sighted prevention and control target to suffer from the risk of myopia, and near-sighted prevention and control index value is used
In the prevention and control dynamics for the near-sighted prevention and control strategy for indicating near-sighted prevention and control target, effect computing module 502 is according to risks of myopia index value
And near-sighted prevention and control index value, near-sighted prevention and control effect value is calculated, prediction module 503 is predicted to obtain according to near-sighted prevention and control effect value
The near-sighted control effect of near-sighted prevention and control target.By the calculating of risks of myopia index value and near-sighted prevention and control index value, to calculate
Near-sighted prevention and control effect value predicts control effect, and prediction process has been carried out effective quantization and standardization, compared with empirical method,
The uncertainty for avoiding empirical method prediction, increases the science of prediction；Compared with evidence-based method, avoid pre- based on group feature
Survey the result inaccuracy that may cause；There is no the sample Dependence Problem of scientific research, prediction result is more with consistency；And it fits
For predicting the Synthetical prevention effect under any a variety of methods or tool combinations, solving evidence-based method can not be to all methods or work
The problem of tool combination carries out all standing, application range is wider.Therefore, near-sighted control effect prediction technique and system of the invention,
It can accurately and effectively predict near-sighted control effect.
Optionally, embodiment as shown in connection with fig. 5, as shown in fig. 6, obtaining module 501 in some embodiments of the present invention
Include:
Parameter acquiring unit 601, for obtaining the eye parameter and environmental parameter of near-sighted prevention and control target；
Risk determination unit 602, for determining the risks of myopia of myopia prevention and control target according to eye parameter and environmental parameter
Factor；
Risk Calculation unit 603, it is close for being calculated according to preset risk index computation rule and risks of myopia factor
Depending on risk index value；
Policy making unit 604, for formulating near-sighted prevention and control strategy according to risks of myopia factor；
Prevention and control computing unit 605 is also used to be calculated according to preset prevention and control index computation rule and near-sighted prevention and control strategy
Near-sighted prevention and control index value.
Optionally, embodiment as shown in connection with fig. 6, as shown in fig. 7, effect calculates mould in some embodiments of the present invention
Block 502 includes:
First computing unit 701 makees difference for calculating the difference of risks of myopia index value and near-sighted prevention and control index value
For near-sighted prevention and control effect value；
Or,
Second computing unit 702, for calculating the ratio of risks of myopia index and near-sighted prevention and control index value, using ratio as
Near-sighted prevention and control effect value.
Optionally, embodiment as shown in connection with fig. 6, as shown in figure 8, effect calculates mould in some embodiments of the present invention
Block includes:
Coefficient acquiring unit 801, for obtaining the risk correction coefficient and near-sighted prevention and control index value of risks of myopia index value
Prevention and control correction coefficient；
First exponent calculation unit 802, is also used to calculate the product of risks of myopia index value and risk correction coefficient, obtains
First index value；
Second exponent calculation unit 803 is also used to calculate the product of near-sighted prevention and control index value and prevention and control correction coefficient, obtains
Second index value；
First effect computing unit 804 takes the difference as close for calculating the difference of the first index value Yu the second index value
Depending on prevention and control effect value；
Or,
Second effect computing unit 805, for calculating the ratio of the first index value Yu the second index value, using ratio as close
Depending on prevention and control effect value.
Optionally, in conjunction with Fig. 6-embodiment shown in Fig. 8, as shown in figure 9, predicting mould in some embodiments of the present invention
Block 503 includes:
Judging unit 901, for judging effects preset section locating for near-sighted prevention and control effect value, and by near-sighted prevention and control effect
The locating effects preset section of value is as target effect section, and effects preset section includes at least two, different effects presets
Section corresponds to different near-sighted control effects；
Effect determination unit 902, for determining the corresponding near-sighted control effect in target effect section.
Each embodiment in this specification is described in a progressive manner, the highlights of each of the examples are with other
The difference of embodiment, the same or similar parts in each embodiment may refer to each other.For device disclosed in embodiment
For, since it is corresponded to the methods disclosed in the examples, so being described relatively simple, related place is said referring to method part
It is bright.
It should also be noted that, the terms "include", "comprise" or its any other variant are intended to nonexcludability
It include so that the process, method, article or equipment for including a series of elements not only includes those elements, but also to wrap
Include other elements that are not explicitly listed, or further include for this process, method, article or equipment intrinsic want
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including the element
Process, method, article or equipment in there is also other identical elements.
The foregoing description of the disclosed embodiments enables those skilled in the art to implement or use the present invention.
Various modifications to these embodiments will be readily apparent to those skilled in the art, as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, of the invention
It is not intended to be limited to the embodiments shown herein, and is to fit to and the principles and novel features disclosed herein phase one
The widest scope of cause.
Claims (10)
1. a kind of myopia control effect prediction technique characterized by comprising
The risks of myopia index value and near-sighted prevention and control index value, the risks of myopia index value for obtaining near-sighted prevention and control target are used for table
Show that the near-sighted prevention and control target suffers from the risk of myopia, the myopia prevention and control index value is for indicating the near-sighted prevention and control target
Near-sighted prevention and control strategy prevention and control dynamics；
According to the risks of myopia index value and the near-sighted prevention and control index value, near-sighted prevention and control effect value is calculated；
It is predicted to obtain the near-sighted control effect of the near-sighted prevention and control target according to the near-sighted prevention and control effect value.
2. the method according to claim 1, wherein the risks of myopia index value for obtaining near-sighted prevention and control target
And near-sighted prevention and control index value, comprising:
Obtain the eye parameter and environmental parameter of near-sighted prevention and control target；
According to the eye parameter and the environmental parameter, the risks of myopia factor of the near-sighted prevention and control target is determined；
According to preset risk index computation rule and the risks of myopia factor, risks of myopia index value is calculated；
Near-sighted prevention and control strategy is formulated according to the risks of myopia factor；
According to preset prevention and control index computation rule and the near-sighted prevention and control strategy, near-sighted prevention and control index value is calculated.
3. according to the method described in claim 2, it is characterized in that, described according to the risks of myopia index value and the myopia
Near-sighted prevention and control effect value is calculated in prevention and control index value, comprising:
The difference for calculating the risks of myopia index value and the near-sighted prevention and control index value takes the difference as near-sighted prevention and control effect
Force value；
Or,
The ratio for calculating the risks of myopia index and the near-sighted prevention and control index value, using the ratio as near-sighted prevention and control effect
Value.
4. according to the method described in claim 2, it is characterized in that, described according to the risks of myopia index value and the myopia
Near-sighted prevention and control effect value is calculated in prevention and control index value, comprising:
Obtain the risk correction coefficient of the risks of myopia index value and the prevention and control correction coefficient of the near-sighted prevention and control index value；
The product for calculating the risks of myopia index value and the risk correction coefficient, obtains the first index value；
The product for calculating the near-sighted prevention and control index value and the prevention and control correction coefficient, obtains the second index value；
The difference for calculating first index value Yu second index value takes the difference as near-sighted prevention and control effect value；
Or,
The ratio for calculating first index value Yu second index value, using the ratio as near-sighted prevention and control effect value.
5. method according to any of claims 1-4, which is characterized in that described according to the near-sighted prevention and control effect value
Prediction obtains the near-sighted control effect of the near-sighted prevention and control target, comprising:
Judge effects preset section locating for the near-sighted prevention and control effect value, and will be preset locating for the near-sighted prevention and control effect value
Effect section is as target effect section, and the effects preset section includes at least two, and different effects preset sections is corresponding
Different near-sighted control effects；
Determine the corresponding near-sighted control effect in the target effect section.
6. a kind of myopia control effect forecasting system characterized by comprising
Module is obtained, for obtaining the risks of myopia index value and near-sighted prevention and control index value of near-sighted prevention and control target, the myopia wind
Dangerous index value is used to indicate that the near-sighted prevention and control target to suffer from the risk of myopia, and the myopia prevention and control index value is for indicating institute
State the prevention and control dynamics of the near-sighted prevention and control strategy of near-sighted prevention and control target；
Effect computing module, for myopia to be calculated according to the risks of myopia index value and the near-sighted prevention and control index value
Prevention and control effect value；
Prediction module, the near-sighted prevention and control for predicting to obtain the near-sighted prevention and control target according to the near-sighted prevention and control effect value are imitated
Fruit.
7. system according to claim 6, which is characterized in that the acquisition module includes:
Parameter acquiring unit, for obtaining the eye parameter and environmental parameter of near-sighted prevention and control target；
Risk determination unit, for determining the close of the near-sighted prevention and control target according to the eye parameter and the environmental parameter
Depending on risk factors；
Risk Calculation unit, for myopia to be calculated according to preset risk index computation rule and the risks of myopia factor
Risk index value；
Policy making unit, for formulating near-sighted prevention and control strategy according to the risks of myopia factor；
Prevention and control computing unit is also used to be calculated close according to preset prevention and control index computation rule and the near-sighted prevention and control strategy
Depending on prevention and control index value.
8. system according to claim 7, which is characterized in that the effect computing module includes:
First computing unit will be described for calculating the difference of the risks of myopia index value and the near-sighted prevention and control index value
Difference is as near-sighted prevention and control effect value；
Or,
Second computing unit, for calculating the ratio of the risks of myopia index and the near-sighted prevention and control index value, by the ratio
Value is as near-sighted prevention and control effect value.
9. system according to claim 7, which is characterized in that the effect computing module includes:
Coefficient acquiring unit, for obtaining the risk correction coefficient and the near-sighted prevention and control index value of the risks of myopia index value
Prevention and control correction coefficient；
First exponent calculation unit is also used to calculate the product of the risks of myopia index value and the risk correction coefficient, obtains
To the first index value；
Second exponent calculation unit is also used to calculate the product of the near-sighted prevention and control index value and the prevention and control correction coefficient, obtains
To the second index value；
First effect computing unit, for calculating the difference of first index value Yu second index value, by the difference
As near-sighted prevention and control effect value；
Or,
Second effect computing unit, for calculating the ratio of first index value Yu second index value, by the ratio
As near-sighted prevention and control effect value.
10. the system according to any one of claim 6-9, which is characterized in that the prediction module includes:
Judging unit is imitated for judging effects preset section locating for the near-sighted prevention and control effect value, and by the near-sighted prevention and control
Effects preset section locating for force value is as target effect section, and the effects preset section includes at least two, and different is pre-
It sets effect section and corresponds to different near-sighted control effects；
Effect determination unit, for determining the corresponding near-sighted control effect in the target effect section.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2023077411A1 (en) | 2021-11-05 | 2023-05-11 | Carl Zeiss Vision International Gmbh | Devices and methods for determining data related to a progression of refractive values of a person |
| CN117671908A (en) * | 2023-12-06 | 2024-03-08 | 广州视域光学科技股份有限公司 | Myopia prevention and control system based on behavior monitoring and prevention and control method thereof |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102073924A (en) * | 2010-12-13 | 2011-05-25 | 北京恒泰实达科技发展有限公司 | Method and equipment for acquiring risk prevention and control grade of power transmission line |
| CN103218510A (en) * | 2013-02-04 | 2013-07-24 | 冯力新 | Combined type tasking time-driven chronic disease preventing control and health managing method |
| CN104751611A (en) * | 2015-04-10 | 2015-07-01 | 游玉霞 | Method, device and equipment for preventing and controlling myopia |
| US20160364543A1 (en) * | 2014-02-13 | 2016-12-15 | The Cleveland Clinic Foundation | Predicting and mitigating risk of ectasia and optimizing therapeutic outcomes |
| CN107358036A (en) * | 2017-06-30 | 2017-11-17 | 北京机器之声科技有限公司 | A kind of child myopia Risk Forecast Method, apparatus and system |
-
2019
- 2019-07-03 CN CN201910595285.0A patent/CN110299204A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102073924A (en) * | 2010-12-13 | 2011-05-25 | 北京恒泰实达科技发展有限公司 | Method and equipment for acquiring risk prevention and control grade of power transmission line |
| CN103218510A (en) * | 2013-02-04 | 2013-07-24 | 冯力新 | Combined type tasking time-driven chronic disease preventing control and health managing method |
| US20160364543A1 (en) * | 2014-02-13 | 2016-12-15 | The Cleveland Clinic Foundation | Predicting and mitigating risk of ectasia and optimizing therapeutic outcomes |
| CN104751611A (en) * | 2015-04-10 | 2015-07-01 | 游玉霞 | Method, device and equipment for preventing and controlling myopia |
| CN107358036A (en) * | 2017-06-30 | 2017-11-17 | 北京机器之声科技有限公司 | A kind of child myopia Risk Forecast Method, apparatus and system |
Non-Patent Citations (1)
| Title |
|---|
| 史久美等: "空军青少年航空学校学员近视防控方案实施的效果评价", 《军事医学》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2023077411A1 (en) | 2021-11-05 | 2023-05-11 | Carl Zeiss Vision International Gmbh | Devices and methods for determining data related to a progression of refractive values of a person |
| WO2023079062A1 (en) | 2021-11-05 | 2023-05-11 | Carl Zeiss Vision International Gmbh | Devices and methods for determining data related to a progression of refractive values of a person |
| CN117671908A (en) * | 2023-12-06 | 2024-03-08 | 广州视域光学科技股份有限公司 | Myopia prevention and control system based on behavior monitoring and prevention and control method thereof |
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