Data Aggregation and Analysis: A Grid-Based Approach for Medicine and Biology

A constantly increasing number of applications from various scientific sectors are finding their way towards adopting grid technologies in order to take advantage of their capabilities: the advent of grid environments made feasible the solution of computational intensive problems in a reliable and c...

Full description

Saved in:
Bibliographic Details
Main Authors: Kyriazis, D., Tserpes, K., Kousiouris, G., Menychtas, A., Katsaros, G., Varvarigou, T.
Format: Conference Proceeding
Language:English
Subjects:
Algorithm design and analysis
Application software
Biomedical imaging
Computational modeling
Concurrent computing
Data Aggregation
Data analysis
Distributed computing
Genetic Algorithms
Grid computing
Healthcare
Medical services
Medicine
Technology management
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A constantly increasing number of applications from various scientific sectors are finding their way towards adopting grid technologies in order to take advantage of their capabilities: the advent of grid environments made feasible the solution of computational intensive problems in a reliable and cost-effective way. In this paper we present a grid-based approach for aggregation of data that are obtained from various sources (e.g. cameras, sensors) and their analysis with the use of genetic algorithms. By also taking into consideration general historical data and patient-specific medical information, we present the realization of the proposed approach with an application scenario for personalized healthcare and medicine.
ISSN:2158-9178
DOI:10.1109/ISPA.2008.34