PsyGrid: Applying e-Science to Epidemiology

Authors:
John Ainsworth;Robert Harper;Ismael Juma;Iain Buchan
Affiliations:
The University of Manchester, UK;The University of Manchester, UK;The University of Manchester, UK;The University of Manchester, UK
Venue:
CBMS '06 Proceedings of the 19th IEEE Symposium on Computer-Based Medical Systems
Year:
2006

Citing 0
Cited 3

Grid computing services for parallel algorithms in medicine and biology

WSEAS Transactions on Computers
The design and implementation of OGSA-DQP: A service-based distributed query processor

Future Generation Computer Systems
Towards an ontology for psychosis

Cognitive Systems Research

Quantified Score

Hi-index	0.00

Visualization

Abstract

The process of hypothesis-driven epidemiological research has three phases - the establishment and characterisation of a large, representative cohort from a geographically distributed population; the integration of the cohort data with other data sources to provide additional characterisation; the formulation of a hypothesis and generation of the corresponding predictions. Grid-computing technologies make possible secure, distributed collaboration, and the ability to share data sources, computational resources and storage resources across administrative boundaries. PsyGrid is an e-Science project established to apply grid-computing technologies to each of the three phases, with the aim of eliminating the obstacles that hinder epidemiological research. We describe a system for distributed cohort characterisation, and the first application to the study of First Episode Psychosis.