Validity of association rules extracted by healthcare-data-mining

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014

Volumn , Issue , 2014, Pages 4960-4963

  Takeuchi, Hiroshi ^a   Kodama, Naoki ^a  

^a TAKASAKI UNIVERSITY OF HEALTH AND WELFARE   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

BIG DATA; DISTRIBUTED COMPUTER SYSTEMS; MHEALTH; TIME SERIES;

DAILY TIME SERIES; HEALTH CONDITION; LIFESTYLE DATA; PERSONAL HEALTH; PERSONAL HEALTH CARE;

DATA MINING;

ALGORITHM; BLOOD PRESSURE; CLOUD COMPUTING; DATA MINING; ENERGY METABOLISM; FEMALE; HEALTH CARE DELIVERY; HUMAN; LIFESTYLE; MALE; MOBILE PHONE; PHYSIOLOGY; SMOKING; YOUNG ADULT;

ALGORITHMS; BLOOD PRESSURE; CELL PHONES; CLOUD COMPUTING; DATA MINING; DELIVERY OF HEALTH CARE; ENERGY METABOLISM; FEMALE; HUMANS; LIFE STYLE; MALE; SMOKING; YOUNG ADULT;

EID: 84929493458     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2014.6944737     Document Type: Conference Paper

References (6)

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6. P. Smyth and R. M. Goodman, "An information theoretical approach to rule induction from databases," IEEE Trans. Knowledge and Data Engineering, Vol. 4, no. 4, 1992, pp. 301-316.