Method for determining age inflection points of skin color changes
A skin color and skin technology, applied in medical simulation, medical informatics, informatics, etc., can solve the problems that there is no relevant research on the age inflection point of skin color change, and the relationship between skin color indicators and age is not representative, etc.
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Embodiment 1
[0138] The following is a specific analysis of the age inflection point of the skin color a value change of the left cheek in the measured sample data as follows:
[0139] a) Carry out boxplot analysis on the left cheek skin color a value of each age in the sample data, remove outliers and record the removed points. Take 26 years old as an example, figure 1 is the boxplot of the left cheek skin color a value at the age of 26, figure 2 It is a box plot after removing abnormal points for the a value of the left cheek skin color of the 26-year-old test subject. The principle of the box plot and the corresponding meanings of each component element are as follows image 3 ; Use the same method to perform boxplot analysis on the left cheek skin color a value of each age, and remove the outliers.
[0140] b) Establish a mathematical model and expand it under the assumption of least squares (OLS), wherein the original model is:
[0141] Y=F(x 1 ,x 2 ,x 3 ,x 4 )+ε
[0142] Und...
Embodiment 2
[0174] The following is a detailed analysis of the age inflection point of the b-value change of the skin color of the left cheek in the measured sample data as follows:
[0175] a) Carry out boxplot analysis on the left cheek skin color b value of each age in the original data, remove outliers and record the removed points. Take 31 years old as an example, Figure 11 is the boxplot of the left cheek skin color b value at the age of 31, Figure 12 It is a box plot after removing outliers in the b value of the left cheek skin color of the 31-year-old test subject. The principle of the box plot and the corresponding meanings of each component element are as follows image 3 . In the same way, the boxplot analysis was performed on the a value of the left cheek skin color at each age, and the outliers were eliminated.
[0176] b) Establish a mathematical model and expand it under the assumption of least squares (OLS), where the original model:
[0177] Y=F(x 1 ,x 2 ,x 3 ,x ...
Embodiment 3
[0208] Next, use the rank sum test method in the non-parametric test in statistics to analyze the age inflection point of the change of the L value of the skin color of the left cheek on the measured sample data. The specific analysis process is as follows:
[0209] Taking a certain age as the cut-off point, divide all ages into two parts as two sets, use the rank sum test in the non-parametric test to test whether the difference in the overall median corresponding to the two sets is significant, and find the age with the most significant difference , the age is the age watershed for this indicator. The specific age split point and its corresponding P value of the rank sum test are as follows Figure 20 shown.
[0210] Figure 20 The black horizontal line in the middle indicates that the P value is 0.05, and the points below this line indicate that the test result is significant. The point with the smallest P value is used as the watershed for their age, which is 39 years o...
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