期刊
INTERNATIONAL JOURNAL OF DATA WAREHOUSING AND MINING
卷 6, 期 3, 页码 11-27出版社
IGI PUBL
DOI: 10.4018/jdwm.2010070102
关键词
Association Patterns; Clustering; Data Mining; Interactive Data Mining; Medical Informatics
资金
- AMIA Knowledge Discovery and Data Mining Working Group
Finding associations among different diseases is an important task in medical data mining. The NHANES data is a valuable source in exploring disease associations. However, existing studies analyzing the NHANES data focus on using statistical techniques to test a small number of hypotheses. This NHANES data has not been systematically explored for mining disease association patterns. In this regard, this paper proposes a direct disease pattern mining method and on interactive disease pattern mining method to explore the NHANES data. The results on the latest NHANES data demonstrate that these methods can mine meaningful disease associations consistent with the existing knowledge and literatures. Furthermore, this study provides summarization of the data set via a disease influence graph and a disease hierarchical tree.
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