Title :
Analysis of time-series correlation between weighted lifestyle data and health data
Author :
Takeuchi, Hiroshi ; Mayuzumi, Yuuki ; Kodama, Naoki
Author_Institution :
Dept. of Healthcare Inf., Takasaki Univ. of Health & Welfare, Takasaki, Japan
fDate :
Aug. 30 2011-Sept. 3 2011
Abstract :
The time-series data analysis described here is based on the simple idea that the accumulation of the effects of lifestyle events, such as ingestion and exercise, could affect personal health with some delay. The delay may reflect complex bio-reactions such as those of metabolism in a human body. In the analysis, the accumulation of the effects of lifestyle events is represented by a summation of daily lifestyle data whose time-series correlation to variations of health data is examined (healthcare-data-mining). The concept of weighting is introduced for the summation of daily lifestyle data. As a result, it is suggested that the nature of personal health could be represented by a weighting pattern characterized by a small number of parameters.
Keywords :
biomechanics; data mining; health care; time series; bioreactions; delay; exercise; health data; healthcare data mining; ingestion; metabolism; personal health; time series correlation; weighted lifestyle data; Conferences; Correlation; Data mining; Delay; Educational institutions; Informatics; Medical services; Actigraphy; Activities of Daily Living; Computer Simulation; Data Interpretation, Statistical; Health Behavior; Health Status; Health Status Indicators; Humans; Life Style; Male; Middle Aged; Models, Statistical; Statistics as Topic;
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2011.6090345
