{"title":"PsyGrid: Applying e-Science to Epidemiology","authors":"J. Ainsworth, R. Harper, Ismael Juma, I. Buchan","doi":"10.1109/CBMS.2006.135","DOIUrl":null,"url":null,"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","PeriodicalId":208693,"journal":{"name":"19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)","volume":"217 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CBMS.2006.135","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
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