バイオメディカル・ファジィ・システム学会大会講演論文集
Online ISSN : 2424-2586
Print ISSN : 1345-1510
ISSN-L : 1345-1510
31
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慢性腎臓病患者のTDA によるグループ化と LRP による重要因子解析
深井 賢也河野 英昭平湯 和也
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p. 45-48

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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.

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