Mining Statistically Significant Associations for Exploratory Analysis of Human Sleep Data.

We introduce a specialized association rule mining technique that can extract patterns from complex sleep data comprising polysomnographic recordings, clinical summaries, and sleep questionnaire responses. The rules mined can describe associations among temporally annotated events and questionnaire...

詳細記述

書誌詳細

出版年:	IEEE Transactions on information technology in biomedicine 10, 3 (2006).
第一著者:	Laxminarayan, P.
フォーマット:	論文
言語:	English
主題:	Clinical summary information. Data mining. Human sleep data. Logistic regression. Medical diagnosis. Moderate caffeine intake. Polysonmographic time-series data. Rapid eye movement sleep stage. Rule mining technique. Sleep questionnaire response. Statistical analysis.