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

fYear

2014

fDate

1-4 June 2014

Firstpage

601

Lastpage

604

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical and Health Informatics (BHI), 2014 IEEE-EMBS International Conference on

Conference_Location

Valencia

Type

conf

DOI

10.1109/BHI.2014.6864436

Filename

6864436