DocumentCode :
1676419
Title :
Granules of risks prediction services in cloud semantics based on subjective knowledge acquisition from big data
Author :
Fujita, Hamido
Author_Institution :
Intell. Software Syst., Iwate Prefectural Univ., Iwate, Japan
fYear :
2015
Firstpage :
15
Lastpage :
16
Abstract :
Health Services need to be ubiquitous to patients (users) robustly intelligent in provided health scenarios for predicting risk forecasting. Health forecasting based on different criteria becomes important feature that advanced nations should provide to their elderly growing citizen for better well-being. Predictions in heart attack or epilepsy are important to in reducing risks for patients and also other people surrounding such type pf patients, especially if the patients who have epilepsy symptoms is driving or involving in some task that could affect others.
Keywords :
Big Data; health care; medical information systems; patient care; risk management; social networking (online); ubiquitous computing; Big Data; cloud semantics; elderly growing citizen; epilepsy predictions; epilepsy symptoms; health forecasting; heart attack prediction; patient risk reduction; risk forecasting; risk prediction service granules; subjective knowledge acquisition; ubiquitous health services; Big data; Decision making; Forecasting; Knowledge based systems; Medical services; Software systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Computational Intelligence and Informatics (SACI), 2015 IEEE 10th Jubilee International Symposium on
Conference_Location :
Timisoara
Type :
conf
DOI :
10.1109/SACI.2015.7208189
Filename :
7208189
Link To Document :
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