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The Statistical Analysis Of Vertebral Column Health Status

Posted on:2018-12-25Degree:MasterType:Thesis
Country:ChinaCandidate:J N LuoFull Text:PDF
GTID:2404330569485096Subject:Applied Statistics
Abstract/Summary:PDF Full Text Request
According to a global survey by the WHO,only 5%of people in the world are genuine healthy,20%of people are with disease,and the rest of people are in sub-health state,so we can know that the situation is very grim.And the vertebral column is in the center of the back,which is the body of the "pillar" and "pillars".Therefore,the vertebral column and its surrounding soft tissue structure and function which are normal or not,has great relationship between human life and health.In this paper,we use the existing videography data,first,we give the evaluation of the target selection of vertebral column health status,and then these indicators are initially explained.Then we remove the original classification,after that we use the clustering method to gather them into three categories,and after we compare the new classification and the original classification,we confirm that,Category 1 is in the name of sub-health status,category 2 is on behalf of the sick state,and Category 3 represents health status.Then we draw the probability density function of each category.According to the function graph,we get the general distribution of the three categories.Then we take the random forest to classify the model.In this paper,the model is constructed with the default parameter value,and then the model is optimized.The optimal model is constructed again according to the optimized parameters,and the results are analyzed.Then we grade the degree of sub-health state using The K-means clustering method.And the optimal K value is 7 according to the criterion that "the smaller the square sum of the groups is,the better the clustering effect is".So the degree of sub-health status is set to seven levels.Then we process them with the method of clustering.After that we use clustering results to compare with the original classification,then the sub-health degree is divided into ??? grade from low to high.Then,we draw the probability density function graph for each level and give the general classification of each level.Finally,we give the corresponding countermeasures and suggestions are given.
Keywords/Search Tags:K-means clustering, Random forest, Vertebral column, Sub-health
PDF Full Text Request
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