Applied GM(0,N) Model in the Study of Influence Factor in Preterm Neonates

The aim of this study is based on GM(0,N) model to evaluate the biochemical factors in preterm neonates, include growth hormone (GH), insulin-like growth factors (IGFs), IGF-binding proteins (IGFBPs) and leptin, the proteins known to be involved in the regulation of growth. And find the influence for each factor corresponding with the body mass index(BMI) and postnatal growth(PI). First, we use the measurement data from blood sample, which collected from 55 preterm neonates for four continuous weeks as our original data. Second, The GM(0,N) model in grey system theory is applied as our mathematics model, to rank the influence from our original data, and we also create a toolbox, which via Matlab to help our calculation. After the results are found, we find that the results are quite matching with the traditional method. Hence, we not only can get the rank of influence in preterm neonates by grey system method, but also provide the new direction in this kind of research.