PsyGrid: Applying e-Science to Epidemiology

John Ainsworth; Robert Harper; Ismael Juma; Iain Buchan

doi:10.1109/CBMS.2006.135

PsyGrid: Applying e-Science to Epidemiology

John Ainsworth, Robert Harper, Ismael Juma, Iain Buchan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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

Original language	English
Title of host publication	Proceedings - IEEE Symposium on Computer-Based Medical Systems\|Proc. IEEE Symp. Comput.-Based Med. Syst.
Publisher	IEEE
Pages	727-732
Number of pages	5
Volume	2006
ISBN (Print)	0769525172, 9780769525174
DOIs	https://doi.org/10.1109/CBMS.2006.135
Publication status	Published - 2006
Event	19th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2006 - Salt Lake City, UT Duration: 1 Jul 2006 → …

Conference

Conference	19th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2006
City	Salt Lake City, UT
Period	1/07/06 → …

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10.1109/CBMS.2006.135

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title = "PsyGrid: Applying e-Science to Epidemiology",

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",

author = "John Ainsworth and Robert Harper and Ismael Juma and Iain Buchan",

year = "2006",

doi = "10.1109/CBMS.2006.135",

language = "English",

isbn = "0769525172",

volume = "2006",

pages = "727--732",

booktitle = "Proceedings - IEEE Symposium on Computer-Based Medical Systems|Proc. IEEE Symp. Comput.-Based Med. Syst.",

publisher = "IEEE",

address = "United States",

note = "19th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2006 ; Conference date: 01-07-2006",

}

Ainsworth, J, Harper, R, Juma, I & Buchan, I 2006, PsyGrid: Applying e-Science to Epidemiology. in Proceedings - IEEE Symposium on Computer-Based Medical Systems|Proc. IEEE Symp. Comput.-Based Med. Syst.. vol. 2006, IEEE, pp. 727-732, 19th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2006, Salt Lake City, UT, 1/07/06. https://doi.org/10.1109/CBMS.2006.135

TY - GEN

T1 - PsyGrid: Applying e-Science to Epidemiology

AU - Ainsworth, John

AU - Harper, Robert

AU - Juma, Ismael

AU - Buchan, Iain

PY - 2006

Y1 - 2006

N2 - 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

AB - 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

U2 - 10.1109/CBMS.2006.135

DO - 10.1109/CBMS.2006.135

M3 - Conference contribution

SN - 0769525172

SN - 9780769525174

VL - 2006

SP - 727

EP - 732

BT - Proceedings - IEEE Symposium on Computer-Based Medical Systems|Proc. IEEE Symp. Comput.-Based Med. Syst.

PB - IEEE

T2 - 19th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2006

Y2 - 1 July 2006

ER -

PsyGrid: Applying e-Science to Epidemiology

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