Exploring syndrome differentiation using non-negative matrix factorization and cluster analysis in patients with atopic dermatitis
Syndrome differentiation (SD) results in a diagnostic conclusion based on a cluster of concurrent symptoms and signs, including pulse form and tongue color. In Korea, there is a strong interest in the standardization of Traditional Medicine (TM). In order to standardize TM treatment, standardization of SD should be given priority. The aim of this study was to explore the SD, or symptom clusters, of patients with atopic dermatitis (AD) using non-negative factorization methods and k-means clustering analysis.
Source: Computers in Biology and Medicine - Category: Bioinformatics Authors: Younghee Yun, Wonmo Jung, Hyunho Kim, Bo-Hyoung Jang, Min-Hee Kim, Jiseong Noh, Seong-Gyu Ko, Inhwa Choi Source Type: research