Association rule mining and network analysis in oriental medicine.

Extracting useful and meaningful patterns from large volumes of text data is of growing importance. In the present study we analyze vast amounts of prescription data, generated from the book of oriental medicine to identify the relationships between the symptoms and the associated medicines used to...

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Autores principales:	Dong Hoon Yang, Ji Hoon Kang, Young Bae Park, Young Jae Park, Hwan Sup Oh, Seoung Bum Kim
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/9372f367f8f94edb8c2554534eac6e58
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spelling	oai:doaj.org-article:9372f367f8f94edb8c2554534eac6e582021-11-18T07:53:14ZAssociation rule mining and network analysis in oriental medicine.1932-620310.1371/journal.pone.0059241https://doaj.org/article/9372f367f8f94edb8c2554534eac6e582013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23555003/?tool=EBIhttps://doaj.org/toc/1932-6203Extracting useful and meaningful patterns from large volumes of text data is of growing importance. In the present study we analyze vast amounts of prescription data, generated from the book of oriental medicine to identify the relationships between the symptoms and the associated medicines used to treat these symptoms. The oriental medicine book used in this study (called Bangyakhappyeon) contains a large number of prescriptions to treat about 54 categorized symptoms and lists the corresponding herbal materials. We used an association rule algorithm combined with network analysis and found useful and informative relationships between the symptoms and medicines.Dong Hoon YangJi Hoon KangYoung Bae ParkYoung Jae ParkHwan Sup OhSeoung Bum KimPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 3, p e59241 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Dong Hoon Yang Ji Hoon Kang Young Bae Park Young Jae Park Hwan Sup Oh Seoung Bum Kim Association rule mining and network analysis in oriental medicine.
description	Extracting useful and meaningful patterns from large volumes of text data is of growing importance. In the present study we analyze vast amounts of prescription data, generated from the book of oriental medicine to identify the relationships between the symptoms and the associated medicines used to treat these symptoms. The oriental medicine book used in this study (called Bangyakhappyeon) contains a large number of prescriptions to treat about 54 categorized symptoms and lists the corresponding herbal materials. We used an association rule algorithm combined with network analysis and found useful and informative relationships between the symptoms and medicines.
format	article
author	Dong Hoon Yang Ji Hoon Kang Young Bae Park Young Jae Park Hwan Sup Oh Seoung Bum Kim
author_facet	Dong Hoon Yang Ji Hoon Kang Young Bae Park Young Jae Park Hwan Sup Oh Seoung Bum Kim
author_sort	Dong Hoon Yang
title	Association rule mining and network analysis in oriental medicine.
title_short	Association rule mining and network analysis in oriental medicine.
title_full	Association rule mining and network analysis in oriental medicine.
title_fullStr	Association rule mining and network analysis in oriental medicine.
title_full_unstemmed	Association rule mining and network analysis in oriental medicine.
title_sort	association rule mining and network analysis in oriental medicine.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/9372f367f8f94edb8c2554534eac6e58
work_keys_str_mv	AT donghoonyang associationruleminingandnetworkanalysisinorientalmedicine AT jihoonkang associationruleminingandnetworkanalysisinorientalmedicine AT youngbaepark associationruleminingandnetworkanalysisinorientalmedicine AT youngjaepark associationruleminingandnetworkanalysisinorientalmedicine AT hwansupoh associationruleminingandnetworkanalysisinorientalmedicine AT seoungbumkim associationruleminingandnetworkanalysisinorientalmedicine
_version_	1718422818912206848

Association rule mining and network analysis in oriental medicine.

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