Hidden Patterns: Clustering Diabetes Data.
Rachel Cook, Gongzhu Hu · Computer Applications in Industry and Engineering · 2010
Data mining techniques have been applied to various fields for many years as a data analysis process to discover characteristics and patterns in the data sets that might be unknown before. In the fields of health care, these characteristics and patterns often related to diseases and their control. In this paper, we examine health, behavior, and demographic data of diabetics through clustering analysis. We noticed some interesting patterns through the analysis results that could be further examined.