主催: バイオメディカル・ファジィ・システム学会
会議名: 第31回バイオメディカル・ファジィ・システム学会
回次: 31
開催地: 金沢
開催日: 2018/11/03 - 2018/11/04
p. 45-48
In recent years, the number of patients with chronic kidney disease in Japan has reached 13.3 million (1 in 8 of adults over 20 years old). The disease is said to be a new country illness. The important factors of the chronic kidney disease have been clarified by long-term clinical studies. In this paper, we propose a new methodology to discover important factors inherent to the chronic kidney disease patients consisted by Topological data analysis (TDA) and Layer-wise Relevance Propagation (LRP). To verify the effectiveness of the proposed method, we compared the result obtained by our proposed method with the known important factors by the clinical studies.