AITION: A scalable KDD platform for Big Data Healthcare

被引：0
|
作者：
Metaxas, Omiros [1 ]
Dimitropoulos, Harry [1 ]
Ioannidis, Yannis [1 ]
机构：
[1] Res Ctr Athena, Inst Management Informat Syst, Maroussi 15125, Greece
来源：
2014 IEEE-EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL AND HEALTH INFORMATICS (BHI) | 2014年
关键词：
D O I：
暂无
中图分类号：
R-058 [];
学科分类号：
摘要：
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.
引用
收藏
页码：601 / 604
页数：4
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