DocumentCode :
140689
Title :
Validity of association rules extracted by healthcare-data-mining
Author :
Takeuchi, H. ; Kodama, Naoki
Author_Institution :
Dept. of Healthcare Inf., Takasaki Univ. of Health & Welfare, Takasaki, Japan
fYear :
2014
fDate :
26-30 Aug. 2014
Firstpage :
4960
Lastpage :
4963
Abstract :
A personal healthcare system used with cloud computing has been developed. It enables a daily time-series of personal health and lifestyle data to be stored in the cloud through mobile devices. The cloud automatically extracts personally useful information, such as rules and patterns concerning the user´s lifestyle and health condition embedded in their personal big data, by using healthcare- data-mining. This study has verified that the extracted rules on the basis of a daily time-series data stored during a half- year by volunteer users of this system are valid.
Keywords :
Big Data; cloud computing; data mining; medical information systems; mobile computing; time series; association rule validity; cloud; daily time-series; health condition; healthcare-data-mining; lifestyle data; mobile devices; personal big data; personal health data; personal healthcare system; user lifestyle; Association rules; Biomedical monitoring; Blood pressure; Correlation; Dairy products; Medical services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2014.6944737
Filename :
6944737
Link To Document :
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