2022
DOI: 10.1155/2022/8526256
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A Data Mining Algorithm for Association Rules with Chronic Disease Constraints

Abstract: The Apriori algorithm in association rules is the main algorithm used in the treatment and prevention of chronic diseases in data mining, and the algorithm in the current stage of China’s medical field of association between chronic diseases has some problems, such as the need to scan the transaction database of cases several times, producing a large data set and more redundant rules. To address the above problems, a data mining algorithm of association rules combining clustering matrix and pruning strategy is… Show more

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“…Vougas et al [6] described a novel computer screening process based on association rule mining, used to identify genes as candidate driving factors for drug response. Liu et al [7] proposed an association rule data mining algorithm that combines clustering matrices and pruning strategies, reducing the number of database scans and generating an appropriate number of candidate itemsets, significantly reducing runtime. Hadavi et al [8] utilized medical records spanning 5 years from 512 esophageal cancer patients and those with related issues to create six significant association rules.…”
Section: Related Workmentioning
confidence: 99%
“…Vougas et al [6] described a novel computer screening process based on association rule mining, used to identify genes as candidate driving factors for drug response. Liu et al [7] proposed an association rule data mining algorithm that combines clustering matrices and pruning strategies, reducing the number of database scans and generating an appropriate number of candidate itemsets, significantly reducing runtime. Hadavi et al [8] utilized medical records spanning 5 years from 512 esophageal cancer patients and those with related issues to create six significant association rules.…”
Section: Related Workmentioning
confidence: 99%