Title :
AITION: A scalable KDD platform for Big Data Healthcare
Author :
Metaxas, Omiros ; Dimitropoulos, Harry ; Ioannidis, Yannis
Author_Institution :
Res. Center Athena, Inst. for the Manage. of Inf. Syst., Marousi, Greece
Abstract :
We propose a comprehensive information processing, knowledge discovery and simulation platform for Big Data Healthcare. In addition, we present a related, well-defined workflow that promotes model-guided personalized medicine. We start by identifying disease signatures and homogeneous patient groups, whilst modeling case-based patient similarity. Then we analyze correlations between variables and patient groups to deliver accurate and reusable predictive statistical simulation models. Such a framework provides significant advantages on both the clinician´s daily routine and targeted biomedical research.
Keywords :
Big Data; data mining; health care; medical computing; medical information systems; AITION; Knowledge Discovery and Data Mining; big data healthcare; case based patient similarity; disease signature identification; homogeneous patient groups; information processing platform; knowledge discovery platform; model guided personalized medicine; related well defined workflow; scalable KDD platform; simulation platform; variable correlations; Analytical models; Bayes methods; Bioinformatics; Biological system modeling; Biomedical imaging; Data models; Diseases;
Conference_Titel :
Biomedical and Health Informatics (BHI), 2014 IEEE-EMBS International Conference on
Conference_Location :
Valencia
DOI :
10.1109/BHI.2014.6864436
