Short term prediction of Ht value using BPNN during LCAP

At present the number of patients of ulcerative colitis(UC) has been increasing in Japan. A leukocytapheresis (LCAP) is one of the cure to the patients of UC. LCAP is a kind of blood purification treatments. It is said that the blood pressure is decreased during the blood purification. This takes place according to the change of the water balance in the body. The water balance is expressed as a hematcrit(Ht) value. Prediction of the Ht value during the LCAP is important to prevent patients from decrease in blood pressure. The purpose of this study is to develop a method to predict the Ht value during the LCAP. In this study, a moving-average type back propagation neural network(MANN) is used for analyzing the nonlinear signals. The MANN is one of the suitable methods to analyze biological signals. In this study, Ht values after one minute, three minutes, and five minutes are predicted using BPNN. At first, Ht values are predicted using the various structures of BPNN to obtain precise prediction.