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