主催: バイオメディカル・ファジィ・システム学会
会議名: 第32回バイオメディカル・ファジィ・システム学会
回次: 32
開催地: 山梨
開催日: 2019/11/23 - 2019/11/24
p. C3-2-
Recently, recurrent neural networks have been widely used in many fields. Bone marrow transplants are a standard treatment for leukemia disease data. Recovery following bone marrow transplantation is a multistate process. The bootstrapping for the recurrent neural network is introduced when selecting the optimum number of hidden units and testing the goodness-of-test. We can predict the probability of surviving during the course of the disease with better accuracy than feed-forward neural networks, partial logistic models.