CN110414749A - A kind of method and system using intestinal flora prediction diver's games results - Google Patents
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Abstract
The invention belongs to field of computer technology, and in particular to a kind of method and system using intestinal flora prediction diver's games results.The described method includes: constructing regression model according to several diver's samples；Obtain the flora data of the intestinal flora of diver；Flora data are inputted into regression model, regression model exports the games results of prediction after being analyzed；The games results of prediction are analyzed, the result of the match of diver is obtained.The present invention predicts the games results and result of the match of diver by the flora data of diver's intestinal flora, and not damaged compared to traditional prediction mode and simple and convenient, the result of prediction is more acurrate.
Description
Technical field
The invention belongs to field of computer technology, and in particular to it is a kind of using intestinal flora prediction diver match at
The method and system of achievement.
Background technique
Intestinal flora is the microbial flora lived in people's body enteron aisle, this kind of microbiological effect body nutriment
Metabolism, the generation of body development, immunity and a variety of diseases.In recent years, research discovery intestinal flora by intestines-brain axis come
Influence the cerebral function of body, for example sway the emotion, improve depression etc.；Brain also changes bacterial community in turn.Brain-gut axis
Contacting between brain and gastrointestinal tract is incorporated, representative is two-way reflex circuit.Signal transduction from bottom to top is to pass through biography
Enter Fiber Projections to central nervous system；Signal transduction from top to bottom is that intestinal wall smooth muscle cell is influenced by centrifugal fibre
And intestinal flora.This two-way function relationship is constituted down-above adjusted and previous-next regulation system.Central nervous system adjusts bone
Bone muscle tonue or corresponding somatic movement, to keep or correct body in the posture in space.Such as: stretching reaction, opposite side extensor
Reflection, attitudinal reflexes, righting reflex etc..And diver faces the anxiety etc. of pre-games appearance, usually a kind of temporary psychology
Phenomenon, it is the variation due to diver's central nervous system stimulant, causes the series reaction of body and behavior.I
Estimate intestinal flora and influence by intestines-brain axis the cerebral function of body, diving games results are easy by nervous system
Variation influence, and intestinal flora index is leading index, has the function of early diagnosis athletes ' performance.
The subjective judgement that coach is relied primarily on to the contest performance of diver existing at present.Pass through long-term sight
It examines, coach sums up the psychological quality feature of diver, come personally performance characteristic and anti-pressure ability, finally obtains prediction
As a result: normal performance, supernormal performance either not normal performance.Method traditional so excessively relies on the subjective judgement of coach,
It is not objective enough, it is easy to produce false judgment.And traditional prediction mode will often carry out blood examination, measure blood parameters, tool
There is certain wound, sportsman and coach contradict these tests with certain wound.Diving fortune is predicted using intestinal flora
The mode for mobilizing games results, can avoid this unfavorable factor.
Summary of the invention
For the defects in the prior art, the present invention provides it is a kind of using intestinal flora prediction diver match at
The method and system of achievement predict the games results and match of diver by the flora data of diver's intestinal flora
As a result, simple and convenient, the result of prediction is more acurrate compared to traditional prediction mode.
In a first aspect, the present invention provides a kind of method using intestinal flora prediction diver's games results, packet
It includes:
Obtain the flora data of the intestinal flora of diver；
Flora data are inputted into regression model, regression model exports the games results of prediction after being analyzed；
The games results of prediction are analyzed, the result of the match of diver is obtained.
Preferably, the flora data include the relative abundance of flora type and every kind of flora, and the result of the match includes
It is unqualified, qualified, medium, good and outstanding.
Preferably, the flora data of the intestinal flora for obtaining diver, specifically:
The bacterium solution sample that diver is measured by Roche high-flux sequence instrument, obtains diver's intestinal flora
Flora data.
Preferably, the regression model are as follows:
Y=a1x1+a2x2+...+anxn+b；
Wherein, a1、a2...an, b be constant, n be flora species number, x1、x2...xnRespectively n kind flora is relatively rich
Degree, Y is games results.
Preferably, the games results of described pair of prediction are analyzed, and obtain the result of the match of diver, specifically:
Percentage number is calculated according to the games results of prediction；
Percentage number and effect data table are compared and analyzed, the result of the match of diver is obtained.
Preferably, the effect data table includes five big effect sections, the five big effect section are as follows: 0-A1%'s does not conform to
Lattice section, A1%-A2The interval of acceptance of %, A2%-A3The medium section of %, A3%-A4The good section of % and A4%-100%
Outstanding section.
Preferably, further include the steps that constructing regression model according to several diver's samples, specifically:
The data sample of several diver for meeting screening conditions is obtained, the data sample includes diver
Games results and intestinal flora flora data；
With flora data x1、x2...xnAs independent variable, games results Y constructs multiple linear regression mould as dependent variable
Type:
Y=a1x1+a2x2+...+anxn+b；
Wherein, a1、a2...an, b be constant, n be flora species number, x1、x2...xnRespectively n kind flora is relatively rich
Degree, Y is games results.
Preferably, the screening conditions include diver not in contact with any addictive substance, diver's nearly half a year
Diarrhea, the nearly 1 year unused antibiotic of diver, diver do not occur without intestines problem or intestinal surgery history, diving
Sportsman is without any communicable disease and diver without any chronic disease.
Second aspect, the present invention provides a kind of systems using intestinal flora prediction diver's games results, fit
For utilizing the method for intestinal flora prediction diver's games results described in first aspect, comprising:
Data capture unit, the flora data of the intestinal flora for obtaining diver；
Model prediction unit, for flora data to be inputted regression model, output prediction after regression model is analyzed
Games results；
Interpretation of result unit obtains the result of the match of diver for analyzing the games results of prediction.
It preferably, further include model construction unit, the model construction unit is used for according to several diver's samples
Construct regression model.
The embodiment of the present invention predicts the games results of diver by the flora data of diver's intestinal flora
And result of the match, compared to the prediction mode that traditional coach is judged, it is more accurate that the present embodiment measures in advance, compared to tradition
Blood examination prediction mode, the present embodiment prediction mode it is more simple and convenient.
Detailed description of the invention
It, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical solution in the prior art
Embodiment or attached drawing needed to be used in the description of the prior art are briefly described.In all the appended drawings, similar element
Or part is generally identified by similar appended drawing reference.
Fig. 1 is to predict that the method flow of diver's games results is illustrated using intestinal flora in the embodiment of the present invention
Figure.
Fig. 2 is to predict that the system structure of diver's games results is illustrated using intestinal flora in the embodiment of the present invention
Figure.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are some of the embodiments of the present invention, instead of all the embodiments.Based on this hair
Embodiment in bright, every other implementation obtained by those of ordinary skill in the art without making creative efforts
Example, shall fall within the protection scope of the present invention.
It should be appreciated that ought use in this specification and in the appended claims, term " includes " and "comprising" instruction
Described feature, entirety, step, operation, the presence of element and/or component, but one or more of the other feature, whole is not precluded
Body, step, operation, the presence or addition of element, component and/or its set.
It is also understood that mesh of the term used in this description of the invention merely for the sake of description specific embodiment
And be not intended to limit the present invention.As description of the invention and it is used in the attached claims, unless on
Other situations are hereafter clearly indicated, otherwise " one " of singular, "one" and "the" are intended to include plural form.
It will be further appreciated that the term "and/or" used in description of the invention and the appended claims is
Refer to any combination and all possible combinations of one or more of associated item listed, and including these combinations.
Embodiment one:
A kind of method using intestinal flora prediction diver's games results is present embodiments provided, as shown in Figure 1,
The following steps are included:
S1 constructs regression model according to several diver's samples；
S2 obtains the flora data of the intestinal flora of diver；
Flora data are inputted regression model by S3, and regression model exports the games results of prediction after being analyzed；
S4 analyzes the games results of prediction, obtains the result of the match of diver.
In the present embodiment, regression equation is constructed according to the data sample of several diver for meeting screening conditions,
In order to which the result of forecast of regression model is more acurrate, need to screen data sample, screening conditions include but is not limited to
Lower condition:
A, diver is not in contact with any addictive substance (such as drink, smoke, take drugs)；
B, nearly half a year diarrhea does not occur for diver；
C, the nearly 1 year unused antibiotic of diver；
D, diver is without intestines problem or intestinal surgery history；
E, diver is without any communicable disease (such as hepatitis A, hepatitis B, hepatitis)；
F, diver is without any chronic disease (such as diabetes, coronary heart disease, hypertension).
The fresh excreta for meeting the diver of above-mentioned screening conditions is taken, suitable 0.9% physiological saline is added, and fill
Point mix and suspension be made, filter suspension with three layers of hospital gauze or filter paper, remove residue, obtain intestinal flora liquid, and by its
It is placed in 4 DEG C of refrigerators and saves backup.Intestinal flora liquid is sampled using tools such as sampling boxs, obtains bacterium solution sample, and
Bacterium solution sample is measured using Roche high-flux sequence instrument, to obtain the flora data of intestinal flora, the flora data include
The relative abundance of flora type and every kind of flora.
Five kinds of floras related with locomitivity that existing document proves, which are respectively as follows:, Vickers Cordycepps
(Veillonellaceae), Bacteroides (Bacteroides), Prey irrigate Pseudomonas (Prevotella), first novy's bacillus
(Methanobrevibacter) and Ackermam West Asia (Akkermansia).The present embodiment acquires 100 diver's
Data sample, the data sample of every diver include the games results and diver's enterobacteriaceae of diver
The flora data (the flora data, that is, above-mentioned five kinds of floras relative abundance) of group, then with this 100 diver's
Flora data x1、x2...xnAs independent variable, games results Y constructs multiple linear regression model as dependent variable:
Y=a1x1+a2x2+...+anxn+b；
Wherein, a1、a2...an, b be constant, n be flora species number, x1、x2...xnRespectively n kind flora is relatively rich
Degree, Y is games results.
After building multiple linear regression model, effect data table is constructed.The effect data table includes five big effect areas
Between, the five big effect section are as follows: 0-A1The unqualified section of %, A1%-A2The interval of acceptance of %, A2%-A3The medium area of %
Between, A3%-A4The good section of % and A4The outstanding section of %-100%.Games results Y obtains the hundred of achievement divided by reference achievement
Point than number, the section where percentage number can be obtained achievement effect, the achievement effect include it is unqualified, qualified,
It is medium, good and outstanding.The effect data table of the present embodiment, be according to the games results of diver it is for statistical analysis after
It obtains.
The present embodiment is illustrated with diver.The regression model and effect data of diver after building
After table, so that it may acquire the related data of diver instantly to predict.
The present embodiment predicts the games results and result of the match of Lee diver, then passes through aforesaid way and obtains Lee
The bacterium solution sample of the intestinal flora of certain measures the bacterium solution sample by Roche high-flux sequence instrument, obtains flora data, the bacterium
Group's data include the relative abundance of five kinds of floras and five kinds of floras.
The relative abundance of above-mentioned five kinds of floras is inputted into regression model Y=a1x1+a2x2+...+a5x5+ b, thus compared
Match achievement Y=30,30 is the games results that Lee diver predicted dives.Then according to the match of prediction at
Achievement 30 calculate percentage number, if with reference to achievement be 50, then percentage number be 30/50=60%, by percentage number 60% with
Effect data table compares and analyzes.In the effect data table of diver, 0-10% corresponds to unqualified section, 10%-
25% corresponding poor section, 25%-50% corresponds to medium section, 50%-75% corresponds to good section and 75%-100% is corresponding
Outstanding section.The match knot for Lee diver that 60% is located in good section, therefore predicts is obtained by comparative analysis
Fruit is good.
It is above-mentioned by taking diving project as an example, the prediction mode of other sports events the present embodiment is still applicable in.To sum up institute
It states, the present embodiment predicts the games results and match knot of diver by the flora data of diver's intestinal flora
Fruit, compared to the prediction mode that traditional coach is judged, it is more accurate that the present embodiment measures in advance, pre- compared to traditional blood examination
The mode of survey mode, the present embodiment prediction is more simple and convenient.
Embodiment two:
A kind of system using intestinal flora prediction diver's games results is present embodiments provided, is suitable for implementing
Using the method for intestinal flora prediction diver's games results described in example one, as shown in Figure 2, comprising:
Model construction unit, for constructing regression model according to several diver's samples；
Data capture unit, the flora data of the intestinal flora for obtaining diver；
Model prediction unit, for flora data to be inputted regression model, output prediction after regression model is analyzed
Games results；
Interpretation of result unit obtains the result of the match of diver for analyzing the games results of prediction.
In the present embodiment, regression equation is constructed according to the data sample of several diver for meeting screening conditions,
In order to which the result of forecast of regression model is more acurrate, need to screen data sample, screening conditions include but is not limited to
Lower condition:
A, diver is not in contact with any addictive substance (such as drink, smoke, take drugs)；
B, nearly half a year diarrhea does not occur for diver；
C, the nearly 1 year unused antibiotic of diver；
D, diver is without intestines problem or intestinal surgery history；
E, diver is without any communicable disease (such as hepatitis A, hepatitis B, hepatitis)；
F, diver is without any chronic disease (such as diabetes, coronary heart disease, hypertension).
The fresh excreta for meeting the diver of above-mentioned screening conditions is taken, suitable 0.9% physiological saline is added, and fill
Point mix and suspension be made, filter suspension with three layers of hospital gauze or filter paper, remove residue, obtain intestinal flora liquid, and by its
It is placed in 4 DEG C of refrigerators and saves backup.Intestinal flora liquid is sampled using tools such as sampling boxs, obtains bacterium solution sample, and
Bacterium solution sample is measured using Roche high-flux sequence instrument, to obtain the flora data of intestinal flora, the flora data include
The relative abundance of flora type and every kind of flora.
Five kinds of floras related with locomitivity that existing document proves, which are respectively as follows:, Vickers Cordycepps
(Veillonellaceae), Bacteroides (Bacteroides), Prey irrigate Pseudomonas (Prevotella), first novy's bacillus
(Methanobrevibacter) and Ackermam West Asia (Akkermansia).The present embodiment acquires 100 diver's
Data sample, the data sample of every diver include the games results and diver's enterobacteriaceae of diver
The flora data (the flora data, that is, above-mentioned five kinds of floras relative abundance) of group, then with this 100 diver's
Flora data x1、x2...xnAs independent variable, games results Y constructs multiple linear regression model as dependent variable:
Y=a1x1+a2x2+...+anxn+b；
Wherein, a1、a2...an, b be constant, n be flora species number, x1、x2...xnRespectively n kind flora is relatively rich
Degree, Y is games results.
After building multiple linear regression model, effect data table is constructed.The effect data table includes five big effect areas
Between, the five big effect section are as follows: 0-A1The unqualified section of %, A1%-A2The interval of acceptance of %, A2%-A3The medium area of %
Between, A3%-A4The good section of % and A4The outstanding section of %-100%.Games results Y obtains the hundred of achievement divided by reference achievement
Point than number, the section where percentage number can be obtained achievement effect, the achievement effect include it is unqualified, qualified,
It is medium, good and outstanding.The effect data table of the present embodiment, be according to the games results of diver it is for statistical analysis after
It obtains.
The present embodiment is illustrated with diver.The regression model and effect data of diver after building
After table, so that it may acquire the related data of diver instantly to predict.
The present embodiment predicts the games results and result of the match of Lee diver, then passes through aforesaid way and obtains Lee
The bacterium solution sample of the intestinal flora of certain measures the bacterium solution sample by Roche high-flux sequence instrument, obtains flora data, the bacterium
Group's data include the relative abundance of five kinds of floras and five kinds of floras.
The relative abundance of above-mentioned five kinds of floras is inputted into regression model Y=a1x1+a2x2+...+a5x5+ b, thus compared
Match achievement Y=30,30 is the games results that Lee diver predicted dives.Then according to the match of prediction at
Achievement 30 calculate percentage number, if with reference to achievement be 50, then percentage number be 30/50=60%, by percentage number 60% with
Effect data table compares and analyzes.In the effect data table of diver, 0-10% corresponds to unqualified section, 10%-
25% corresponding poor section, 25%-50% corresponds to medium section, 50%-75% corresponds to good section and 75%-100% is corresponding
Outstanding section.The match knot for Lee diver that 60% is located in good section, therefore predicts is obtained by comparative analysis
Fruit is good.
It is above-mentioned by taking diving project as an example, the prediction mode of other sports events the present embodiment is still applicable in.To sum up institute
It states, the present embodiment predicts the games results and match knot of diver by the flora data of diver's intestinal flora
Fruit, compared to the prediction mode that traditional coach is judged, it is more accurate that the present embodiment measures in advance, pre- compared to traditional blood examination
The mode of survey mode, the present embodiment prediction is more simple and convenient.
Those of ordinary skill in the art may be aware that system unit described in conjunction with the examples disclosed in this document and
Method and step can be realized with electronic hardware, computer software, or a combination of the two, in order to clearly demonstrate hardware and soft
The interchangeability of part generally describes each exemplary composition and step according to function in the above description.These function
It can be implemented in hardware or software actually, the specific application and design constraint depending on technical solution.Professional skill
Art personnel can use different methods to achieve the described function each specific application, but this realization should not be recognized
It is beyond the scope of this invention.
In several embodiments provided herein, it should be understood that disclosed method and system can pass through it
Its mode is realized.For example, in addition the division of above step, only a kind of logical function partition can have in actual implementation
Division mode, such as multiple steps can be combined into a step, and a step step can also be split as multiple steps.It can also
The purpose of the embodiment of the present invention is realized to select some or all of step therein according to the actual needs.
Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention., rather than its limitations；To the greatest extent
Pipe present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: its according to
So be possible to modify the technical solutions described in the foregoing embodiments, or to some or all of the technical features into
Row equivalent replacement；And these are modified or replaceed, various embodiments of the present invention technology that it does not separate the essence of the corresponding technical solution
The range of scheme should all cover within the scope of the claims and the description of the invention.
Claims (10)
1. a kind of method using intestinal flora prediction diver's games results characterized by comprising
Obtain the flora data of the intestinal flora of diver；
Flora data are inputted into regression model, regression model exports the games results of prediction after being analyzed；
The games results of prediction are analyzed, the result of the match of diver is obtained.
2. a kind of method using intestinal flora prediction diver's games results according to claim 1, feature
It is, the flora data include the relative abundance of flora type and every kind of flora, and the result of the match includes unqualified, conjunction
It is lattice, medium, good and outstanding.
3. a kind of method using intestinal flora prediction diver's games results according to claim 1, feature
It is, the flora data of the intestinal flora for obtaining diver, specifically:
The bacterium solution sample that diver is measured by Roche high-flux sequence instrument, obtains the flora of diver's intestinal flora
Data.
4. a kind of method using intestinal flora prediction diver's games results according to claim 1, feature
It is, the regression model are as follows:
Y=a1x1+a2x2+...+anxn+b；
Wherein, a1、a2...an, b be constant, n be flora species number, x1、x2...xnRespectively the relative abundance of n kind flora, Y are
Games results.
5. a kind of method using intestinal flora prediction diver's games results according to claim 4, feature
It is, the games results of described pair of prediction are analyzed, the result of the match of diver is obtained, specifically:
Percentage number is calculated according to the games results of prediction；
Percentage number and effect data table are compared and analyzed, the result of the match of diver is obtained.
6. a kind of method using intestinal flora prediction diver's games results according to claim 5, feature
It is, the effect data table includes five big effect sections, the five big effect section are as follows: 0-A1The unqualified section of %,
A1%-A2The interval of acceptance of %, A2%-A3The medium section of %, A3%-A4The good section of % and A4The outstanding area of %-100%
Between.
7. a kind of method using intestinal flora prediction diver's games results according to claim 1, feature
It is, further includes the steps that constructing regression model according to several diver's samples, specifically:
The data sample of several diver for meeting screening conditions is obtained, the data sample includes the ratio of diver
Match the flora data of achievement and intestinal flora；
With flora data x1、x2...xnAs independent variable, games results Y constructs multiple linear regression model as dependent variable:
Y=a1x1+a2x2+...+anxn+b；
Wherein, a1、a2...an, b be constant, n be flora species number, x1、x2...xnRespectively the relative abundance of n kind flora, Y are
Games results.
8. a kind of method using intestinal flora prediction diver's games results according to claim 7, feature
Be, the screening conditions include diver not in contact with any addictive substance, diver do not occur nearly half a year diarrhea,
The nearly 1 year unused antibiotic of diver, diver are without intestines problem or intestinal surgery history, diver without appointing
What communicable disease and diver are without any chronic disease.
9. a kind of system using intestinal flora prediction diver's games results, is suitable for any one of claim 1-8 institute
The method using intestinal flora prediction diver's games results stated characterized by comprising
Data capture unit, the flora data of the intestinal flora for obtaining diver；
Model prediction unit, for flora data to be inputted regression model, regression model exports the match of prediction after being analyzed
Achievement；
Interpretation of result unit obtains the result of the match of diver for analyzing the games results of prediction.
10. a kind of system using intestinal flora prediction diver's games results according to claim 9, feature
It is, further includes model construction unit, the model construction unit, which is used to be constructed according to several diver's samples, returns mould
Type.
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| CN111467729A (en) * | 2020-04-03 | 2020-07-31 | 北京市纯美炫音国际教育咨询有限公司 | Rope skipping counting method based on prediction model |
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| CN111467729A (en) * | 2020-04-03 | 2020-07-31 | 北京市纯美炫音国际教育咨询有限公司 | Rope skipping counting method based on prediction model |
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