The Nonlinear Analysis Of Normal Reference Value Of Hematology And Geographical Factors

Significance of choosing title: Normal reference value of the hemoglobin and the red cell count has the very important function on clinical, because it can be used to accurately react whether different age groups and different gender groups of the people are anemic and the extent. The hemoglobin and the red cell count are closely related to the physical environment (such as temperature, humidity, altitude, sunshine, precipitation, water quality, soil and so on) where people live in. the paper has studied The hemoglobin and the red cell count are closely related to the physical factors and reveal the regularities of distribution, which can provide good basis for the clinical diagnosis.Theory basis, method, procedure of research: To explore the complex relationship between normal reference value of the various indexes of hematology and a variety of geographical factors selected, through a lot of bibliographic search and buying data from some units this paper collects normal reference value of the hemoglobin and the red blood cell count of the different age and the different gender groups of people in all the Chinese regions. That mainly includes normal reference value of the hemoglobin of young men, normal reference value of the hemoglobin of old women, normal reference value of the hemoglobin of old men, normal reference value of the red blood cell count of young men, normal reference value of the red blood cell count of young women, normal reference value of the red blood cell count of middle-aged men, normal reference value of the red blood cell count of middle-aged women and normal reference value of the red blood cell count of presenile men. According to The Chinese Meteorological Data Central providing the sharing materials, the related geographic works, the dictionary and the related literature, altitude (X₁), the sunshine hours (X₂), the average temperature (X₃), the relative humidity (X₄), the annual precipitation (X₅) are collected. This paper does linear and nonlinear research on the medical indexes and geographical factors, thus the complex linear model and the nonlinear BP neural network model between them are established. Linear models mainly include the factor analysis model and the trend surface model. And nonlinear models include BP neural network model. Geographical indexes value of 1288 observation points that are chosen are applied to above models, and normal reference value of the hemoglobin and the red blood cell count of the different age and the different gender groups of people in 1228 places are calculated. With the aid of geostatistical analysis module of GIS spatial analysis and Kriging interpolation method, geographical distribution map of the normal reference value of hematological indexes is precisely interpolated.Results and innovation of research: If geographical factors of some place in china are known, normal reference value of the hemoglobin and the red blood cell count of the different age and the different gender groups of people are estimated in this place. And normal reference value of any place is get from geographical distribution map. In the three kind of models used, it is discovered that the precision obtained from nonlinear model is highest, which can provide good basis for the clinical diagnosis. The innovation of research lies in doing quantitative, linear research on normal reference value of the hemoglobin and the red blood cell count of the different age and the different gender groups of people and geographical factors, which reduces the interference caused by people and improves the accuracy of the simulation.With the aid of geostatistical analysis module of GIS spatial analysis and Kriging interpolation method, taken all the china as subject investigated, geographical distribution map of the normal reference value of hematological indexes is precisely interpolated. The method and the result of this paper can enrich clinical medicine, clinical examination, hematology, medical geography, environmental health and physiology.