Constrained Association Rules for Medical Data
نویسندگان
چکیده
منابع مشابه
Mining for association rules in medical data
Association rules are logical propositions of the form φ ≈ ψ that are frequently observed in a given set of data. An analyst can express hypotheses in the form of these rules and verify their validity in the data, as well as nd hints to relevant, previously unknown relationships. In this paper, we propose to answer some analytical questions about STULONG, a study of risk factors of atherosclero...
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We are presently exploring the idea of discovering association rules in medical data. There are several technical aspects which make this problem challenging. In our case medical data sets are small, but have high dimensionality. Information content is rich: there exist numerical, categorical, time and even image attributes. Data records are generally noisy. We explain how to map medical data t...
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Detailed elaborations are presented for the idea on two-step frequent itemsets Apriori algorithm of Association Rules. An improved method called Improved Apriori algorithm is brought forward owing to the disadvantages of Apriori algorithm. Moreover, based on Improved Apriori algorithm, data mining for breast-cancers is carried out for the relationship between breast-cancer recurrences and other...
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Data mining is a technique for discovering useful information from large databases. This technique is currently being profitably used by a number of industries. A common approach for information discovery is to identify association rules which reveal relationships among different items. In this paper, we use this approach to analyse a large database containing medical-record data. Our aim is to...
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Drug addiction is a major social, economic, and hygienic challenge that impacts on all the community and needs serious threat. Available treatments are successful only in short-term unless underlying reasons making individuals prone to the phenomenon are not investigated. Nowadays, there are some treatment centers which have comprehensive information about addicted people. Therefore, given the ...
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ژورنال
عنوان ژورنال: Journal of Applied Sciences
سال: 2012
ISSN: 1812-5654
DOI: 10.3923/jas.2012.1792.1800