AITION: A Scalable KDD Platform for Big Data Healthcare
Authors: 
Omiros Metaxas
Authors: 
Harry Dimitropoulos
Authors: 
Yannis Ioannidis
Date published: 
2014
Published In: 
Proc. of the IEEE Int'l Conf. on Biomedical and Health Informatics (BHI'2014)
Type: 
Conference Article
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.

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