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Flu diagnosis system using jaccard index and rough set approaches

Jaccard index and rough set approaches have been frequently implemented in decision support systems with various domain applications. Both approaches are appropriate to be considered for categorical data analysis. This paper presents the applications of sets operations for flu diagnosis systems base...

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Main Authors: Efend, Riswan, Samsudin, Noor Azah, Mat Deris, Mustafa, Yip, Guan Ting
Format: Article
Language:English
Published: IOP Publishing 2018
Subjects:
QA71-90 Instruments and machines
Online Access:http://eprints.uthm.edu.my/5525/1/AJ%202018%20%28559%29.pdf
http://eprints.uthm.edu.my/5525/
http://dx.doi.org/10.1088/1742-6596/1004/1/012014
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spelling my.uthm.eprints.55252022-01-13T07:01:07Z http://eprints.uthm.edu.my/5525/ Flu diagnosis system using jaccard index and rough set approaches Efend, Riswan Samsudin, Noor Azah Mat Deris, Mustafa Yip, Guan Ting QA71-90 Instruments and machines Jaccard index and rough set approaches have been frequently implemented in decision support systems with various domain applications. Both approaches are appropriate to be considered for categorical data analysis. This paper presents the applications of sets operations for flu diagnosis systems based on two different approaches, such as, Jaccard index and rough set. These two different approaches are established using set operations concept, namely intersection and subset. The step-by-step procedure is demonstrated from each approach in diagnosing flu system. The similarity and dissimilarity indexes between conditional symptoms and decision are measured using Jaccard approach. Additionally, the rough set is used to build decision support rules. Moreover, the decision support rules are established using redundant data analysis and elimination of unclassified elements. A number data sets is considered to attempt the step-by-step procedure from each approach. The result has shown that rough set can be used to support Jaccard approaches in establishing decision support rules. Additionally, Jaccard index is better approach for investigating the worst condition of patients. While, the definitely and possibly patients with or without flu can be determined using rough set approach. The rules may improve the performance of medical diagnosis systems. Therefore, inexperienced doctors and patients are easier in preliminary flu diagnosis. IOP Publishing 2018 Article PeerReviewed text en http://eprints.uthm.edu.my/5525/1/AJ%202018%20%28559%29.pdf Efend, Riswan and Samsudin, Noor Azah and Mat Deris, Mustafa and Yip, Guan Ting (2018) Flu diagnosis system using jaccard index and rough set approaches. Journal of Physics: Conference Series, 1004 (1). pp. 1-6. ISSN 1742-6596 (Submitted) http://dx.doi.org/10.1088/1742-6596/1004/1/012014
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
language English
topic QA71-90 Instruments and machines
spellingShingle QA71-90 Instruments and machines
Efend, Riswan
Samsudin, Noor Azah
Mat Deris, Mustafa
Yip, Guan Ting
Flu diagnosis system using jaccard index and rough set approaches
description Jaccard index and rough set approaches have been frequently implemented in decision support systems with various domain applications. Both approaches are appropriate to be considered for categorical data analysis. This paper presents the applications of sets operations for flu diagnosis systems based on two different approaches, such as, Jaccard index and rough set. These two different approaches are established using set operations concept, namely intersection and subset. The step-by-step procedure is demonstrated from each approach in diagnosing flu system. The similarity and dissimilarity indexes between conditional symptoms and decision are measured using Jaccard approach. Additionally, the rough set is used to build decision support rules. Moreover, the decision support rules are established using redundant data analysis and elimination of unclassified elements. A number data sets is considered to attempt the step-by-step procedure from each approach. The result has shown that rough set can be used to support Jaccard approaches in establishing decision support rules. Additionally, Jaccard index is better approach for investigating the worst condition of patients. While, the definitely and possibly patients with or without flu can be determined using rough set approach. The rules may improve the performance of medical diagnosis systems. Therefore, inexperienced doctors and patients are easier in preliminary flu diagnosis.
format Article
author Efend, Riswan
Samsudin, Noor Azah
Mat Deris, Mustafa
Yip, Guan Ting
author_facet Efend, Riswan
Samsudin, Noor Azah
Mat Deris, Mustafa
Yip, Guan Ting
author_sort Efend, Riswan
title Flu diagnosis system using jaccard index and rough set approaches
title_short Flu diagnosis system using jaccard index and rough set approaches
title_full Flu diagnosis system using jaccard index and rough set approaches
title_fullStr Flu diagnosis system using jaccard index and rough set approaches
title_full_unstemmed Flu diagnosis system using jaccard index and rough set approaches
title_sort flu diagnosis system using jaccard index and rough set approaches
publisher IOP Publishing
publishDate 2018
url http://eprints.uthm.edu.my/5525/1/AJ%202018%20%28559%29.pdf
http://eprints.uthm.edu.my/5525/
http://dx.doi.org/10.1088/1742-6596/1004/1/012014
_version_ 1738581388096962560
score 13.211869

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