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Reseach Article

Detecting Abdominal Aorta Aneurysm using Bio-Computing Technology

Published on January 2013 by A Dinesh Kumar, Hanah Ayisha V Hyder Ali, S Shahul Hammed
Amrita International Conference of Women in Computing - 2013
Foundation of Computer Science USA
AICWIC - Number 4
January 2013
Authors: A Dinesh Kumar, Hanah Ayisha V Hyder Ali, S Shahul Hammed
cf79bbd0-50d3-404f-adc7-db504f8d875f

A Dinesh Kumar, Hanah Ayisha V Hyder Ali, S Shahul Hammed . Detecting Abdominal Aorta Aneurysm using Bio-Computing Technology. Amrita International Conference of Women in Computing - 2013. AICWIC, 4 (January 2013), 23-28.

@article{
author = { A Dinesh Kumar, Hanah Ayisha V Hyder Ali, S Shahul Hammed },
title = { Detecting Abdominal Aorta Aneurysm using Bio-Computing Technology },
journal = { Amrita International Conference of Women in Computing - 2013 },
issue_date = { January 2013 },
volume = { AICWIC },
number = { 4 },
month = { January },
year = { 2013 },
issn = 0975-8887,
pages = { 23-28 },
numpages = 6,
url = { /proceedings/aicwic/number4/9885-1327/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Amrita International Conference of Women in Computing - 2013
%A A Dinesh Kumar
%A Hanah Ayisha V Hyder Ali
%A S Shahul Hammed
%T Detecting Abdominal Aorta Aneurysm using Bio-Computing Technology
%J Amrita International Conference of Women in Computing - 2013
%@ 0975-8887
%V AICWIC
%N 4
%P 23-28
%D 2013
%I International Journal of Computer Applications
Abstract

Abdominal aortic aneurysm (AAA) is a localized dilatation of the abdominal aorta . It occurs when there is a increase in the normal diameter of the blood vessels by more than 50 percent. Approximately 90 percent of abdominal aortic aneurysms occur infrarenally , but they can also occur pararenally or suprarenally. This is because of some catastrophic outcome. Due to this, the blood flow is exaggerated so the blood hemodynamic interaction forces are affected. Therefore this will tends to wall rupture. To identify the AAA . it is important to identify the blood flow interaction and the wall shear stress. The blood and wall interaction is the wall shear stress. Computational fluid dynamics (CFD) is used to get the results for the mechanical conditions within the blood vessels with and without Aneurysms. CFD contains vast computations with Navier Stroke Equations so this will be very time consuming. So to make these CFD computations very efficient, Data mining (DM) techniques are to be used. And also DM techniques will be a best method to predict the shear stress at the AAA. This will estimate the wall shear stress. There is in need of thousands of CFD runs in a single computer for creating machine learning data so grid computing is used.

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Index Terms

Computer Science
Information Sciences

Keywords

Computational Fluid Dynamics (cfd) Data Mining (dm) Grid Computing Hemodynamic Parameters Predictive Modeling