Comparative analysis of data mining techniques for medical data classification

Medical data classification plays a crucial role in many medical imaging applications by automating or facilitating the delineation of image data.It addresses the problem of diagnosis, analysis and teaching purposes in medicine.For these several medical imaging data modalities and applications base...

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Main Authors: S. A., Lashari, Ibrahim, Rosziati
Format: Conference or Workshop Item
Language:English
Published: 2013
Subjects:
Online Access:https://repo.uum.edu.my/id/eprint/12043/1/PID34.pdf
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author S. A., Lashari
Ibrahim, Rosziati
author_facet S. A., Lashari
Ibrahim, Rosziati
author_sort S. A., Lashari
collection UUM
description Medical data classification plays a crucial role in many medical imaging applications by automating or facilitating the delineation of image data.It addresses the problem of diagnosis, analysis and teaching purposes in medicine.For these several medical imaging data modalities and applications based on data mining techniques have been proposed and developed.In this paper, a comparative analysis of applications of data mining techniques has been presented.Thus, the existing literature suggests that we do not lose sight of the current and future potential of applications of data mining techniques that can impact upon the successful classification of medical data into a thematic map.Thus, there is a great potential for the use of data mining techniques for medical data classification, which has not been fully investigated and would be one of the interesting directions for future research.
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spelling uum-120432014-08-25T08:03:02Z https://repo.uum.edu.my/id/eprint/12043/ Comparative analysis of data mining techniques for medical data classification S. A., Lashari Ibrahim, Rosziati QA76 Computer software Medical data classification plays a crucial role in many medical imaging applications by automating or facilitating the delineation of image data.It addresses the problem of diagnosis, analysis and teaching purposes in medicine.For these several medical imaging data modalities and applications based on data mining techniques have been proposed and developed.In this paper, a comparative analysis of applications of data mining techniques has been presented.Thus, the existing literature suggests that we do not lose sight of the current and future potential of applications of data mining techniques that can impact upon the successful classification of medical data into a thematic map.Thus, there is a great potential for the use of data mining techniques for medical data classification, which has not been fully investigated and would be one of the interesting directions for future research. 2013-08-28 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/12043/1/PID34.pdf S. A., Lashari and Ibrahim, Rosziati (2013) Comparative analysis of data mining techniques for medical data classification. In: 4th International Conference on Computing and Informatics (ICOCI 2013), 28 -30 August 2013, Kuching, Sarawak, Malaysia. http://www.icoci.cms.net.my/proceedings/2013/TOC.html
spellingShingle QA76 Computer software
S. A., Lashari
Ibrahim, Rosziati
Comparative analysis of data mining techniques for medical data classification
title Comparative analysis of data mining techniques for medical data classification
title_full Comparative analysis of data mining techniques for medical data classification
title_fullStr Comparative analysis of data mining techniques for medical data classification
title_full_unstemmed Comparative analysis of data mining techniques for medical data classification
title_short Comparative analysis of data mining techniques for medical data classification
title_sort comparative analysis of data mining techniques for medical data classification
topic QA76 Computer software
url https://repo.uum.edu.my/id/eprint/12043/1/PID34.pdf
work_keys_str_mv AT salashari comparativeanalysisofdataminingtechniquesformedicaldataclassification
AT ibrahimrosziati comparativeanalysisofdataminingtechniquesformedicaldataclassification