Research on Relationship Between Reference Value of Young Women's Hematocrit and Chinese Geographical Factors Based on Support Vector Machines

In order to provide a basis for unifying the reference value criteria standard of Chinese young women's hematocrit,the paper discusses the nonlinear relationship between the reference value of Chinese healthy young women's hematocrit which are determined by the wintrobe laws and geography factors based on support vector machines.The selected geographical factors include altitude,annual sunshine hour,annual average relative humidity,annual average temperature and annual precipitation.If the geographical values are obtained in some area,the reference value of Chinese young women's hematocrit of this area can be reckoned using this SVM model.Experimental results show that the SVM model is capable of overcoming the multicollinearity between the geography factors and maintaining the stability of the predictive accuracy,and is more suitable for predicting the hematocrit value than the principal component regression analysis.