关键词
sequence mining
weighted associative classifier
weighted support
weighted confidence
prediction
weighted associative classifier
weighted support
weighted confidence
prediction
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Sunita Soni. (2014). Mining Health Care Sequences using Weighted Associative Classifier. 全球计算机科学与技术杂志, 14(C2), 27–35. 取读于 从 https://gjcst.com/index.php/gjcst/article/view/1240
摘要
This paper proposes the general framework for mining sequences from health care database The database is a relational model consisting of set of temporal records of individual patient consisting of basic information of the patient ie Patient_ID age gender etc the second part is a series of sequences representing the set of treatment given to the patient during regular visit to the doctor and the third part is class label Similarity search of sequences is performed to convert the database of sequences to the database of items so that apriori algorithm can be applied Weighted association rule mining has been performed to find the frequent sequence of treatment provided to the patient Classification association rules CAR having positive class label as consequent represents the frequent sequence of treatment given to the patient for successful treatment With the experimental results author feels confident in declaring that the framework is feasible in the medical domain
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