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Bioprofiling over grid for early detection of dementia

Zervakis Michalis, Lingfen Sun, Pin Hu, Cindy Goh, Brahim Hamadicharef, E. Ifeachor, I. Barbounakis

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URIhttp://purl.tuc.gr/dl/dias/AA5188F9-27FE-4632-9CF5-65D75B3C8F12-
Identifierhttps://doi.org/http://dx.doi.org/10.1145/1146847.1146879-
Languageen-
Extent32 pagesen
TitleBioprofiling over grid for early detection of dementiaen
CreatorZervakis Michalisen
CreatorΖερβακης Μιχαληςel
CreatorLingfen Sunen
CreatorPin Huen
CreatorCindy Gohen
CreatorBrahim Hamadicharefen
CreatorE. Ifeachoren
Creator I. Barbounakisen
PublisherAssociation for Computing Machineryen
Content SummaryThe primary aim of this paper is to present a new concept, bioprofiling over Grid, and to illustrate how Grid computing may be used to support individualisation of healthcare in future, with the aid of a new test bed, the BIOPATTERN Grid. The BIOPATTERN Grid is designed to facilitate seamless sharing of geographically distributed bioprofile databases and to support the analysis of bioprofiles to combat major diseases such as brain diseases and cancer within a major EU project, BIOPATTERN (www.biopattern.org). The main objectives in this paper are 1) to report the development of the BIOPATTERN Grid for biopattern analysis and bioprofiling in support of individualisation of healthcare; 2) to illustrate how the BIOPATTERN Grid could be used for biopattern analysis and bioprofiling for early detection of dementia. We present the architecture and general functionalities of BIOPATTERN Grid, and the development of a prototype test bed (including a Grid Portal and Grid services for early detection of dementia). We illustrate the concept of bioprofiling over Grid and discuss issues such as scalability in high through-put computing for biodata analysis associated with bioprofiling for dementia. Results show benefits in both high throughput computing in biodata analysis and for individualisation of healthcare using Grid computing which makes it possible to access geographically distributed patient's information for subject-specific data analysis for early detection of dementia.en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-10-24-
Date of Publication2006-
SubjectClinical laboratory techniciansen
SubjectMedical laboratory techniciansen
Subjectmedical technologistsen
Subjectclinical laboratory techniciansen
Subjectmedical laboratory techniciansen
Bibliographic CitationL. Sun, P. Hu, C. Goh, B. Hamadicharef, M. Hess, E. Ifeachor, I. Barbounakis, M. Zervakis, N. Nurminen, A. Varri ,"Bioprofiling over grid for early detection of dementia ," in 2006 1st intern. conf. on Scalable infor. systems ,doi :10.1145/1146847.1146879en

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