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Using affinity set on mining the necessity of computed tomography scanning

Computed tomography (CT) is a medical imaging method of tomography. Digital geometry processing is used to generate a three-dimensional image of the inside of a patient from a large series of two-dimensional X-ray images taken around a single axis of rotation. The scanning ofCT has become an impor...

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Main Authors: Chen , Yuh Wen, Larbani, Moussa, Li, Tzung Hung, Chen, Chao-Wen
Format: Article
Language:English
Published: IEEE 2009
Subjects:
HB131 Methodology.Mathematical economics. Quantitative methods
Online Access:http://irep.iium.edu.my/13486/1/IEEE.pdf
http://irep.iium.edu.my/13486/
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spelling my.iium.irep.134862012-01-27T07:15:17Z http://irep.iium.edu.my/13486/ Using affinity set on mining the necessity of computed tomography scanning Chen , Yuh Wen Larbani, Moussa Li, Tzung Hung Chen, Chao-Wen HB131 Methodology.Mathematical economics. Quantitative methods Computed tomography (CT) is a medical imaging method of tomography. Digital geometry processing is used to generate a three-dimensional image of the inside of a patient from a large series of two-dimensional X-ray images taken around a single axis of rotation. The scanning ofCT has become an important tool in medical imaging to supplement X-rays and medical ultrasonography. Although it is expensive, it is the best tool to diagnose a large number of different disease entities; especially, for the trauma patients in emergency room. In this study, the trauma patients, who were treated by the CT scanning are collected in order to discover the critical knowledge; that is, what characteristics of trauma patients would lead to the necessity of CT scanning? The data mining model of affinity set and neural network (NN) are both used for resolution and comparison. Finally, studying results show that he affinity model performs better than the NN model, but the collected data lacks the explanatory power in practices. Thus, a further research is necessary. IEEE 2009 Article REM application/pdf en http://irep.iium.edu.my/13486/1/IEEE.pdf Chen , Yuh Wen and Larbani, Moussa and Li, Tzung Hung and Chen, Chao-Wen (2009) Using affinity set on mining the necessity of computed tomography scanning. pp. 219-223.
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic HB131 Methodology.Mathematical economics. Quantitative methods
spellingShingle HB131 Methodology.Mathematical economics. Quantitative methods
Chen , Yuh Wen
Larbani, Moussa
Li, Tzung Hung
Chen, Chao-Wen
Using affinity set on mining the necessity of computed tomography scanning
description Computed tomography (CT) is a medical imaging method of tomography. Digital geometry processing is used to generate a three-dimensional image of the inside of a patient from a large series of two-dimensional X-ray images taken around a single axis of rotation. The scanning ofCT has become an important tool in medical imaging to supplement X-rays and medical ultrasonography. Although it is expensive, it is the best tool to diagnose a large number of different disease entities; especially, for the trauma patients in emergency room. In this study, the trauma patients, who were treated by the CT scanning are collected in order to discover the critical knowledge; that is, what characteristics of trauma patients would lead to the necessity of CT scanning? The data mining model of affinity set and neural network (NN) are both used for resolution and comparison. Finally, studying results show that he affinity model performs better than the NN model, but the collected data lacks the explanatory power in practices. Thus, a further research is necessary.
format Article
author Chen , Yuh Wen
Larbani, Moussa
Li, Tzung Hung
Chen, Chao-Wen
author_facet Chen , Yuh Wen
Larbani, Moussa
Li, Tzung Hung
Chen, Chao-Wen
author_sort Chen , Yuh Wen
title Using affinity set on mining the necessity of computed tomography scanning
title_short Using affinity set on mining the necessity of computed tomography scanning
title_full Using affinity set on mining the necessity of computed tomography scanning
title_fullStr Using affinity set on mining the necessity of computed tomography scanning
title_full_unstemmed Using affinity set on mining the necessity of computed tomography scanning
title_sort using affinity set on mining the necessity of computed tomography scanning
publisher IEEE
publishDate 2009
url http://irep.iium.edu.my/13486/1/IEEE.pdf
http://irep.iium.edu.my/13486/
_version_ 1643606766494154752
score 13.211869

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