1. Co-occurrence of disease analysis using association rule mining based on apriori algorithm
Authors : Mrs. D. Sheila Freeda
Pages : 381-387
DOI : http://dx.doi.org/10.21172/1.72.560
Keywords : Association Rule Mining, Apriori Algorithm Data Mining Abstract :Abstract: Data mining consist of analysis of massive data from various sources and retrieving useful information. This information can be converted to knowledge about future and past. Today huge amount of data is stored in healthcare system, these data includes patient details, disease information, doctors details, etc. With the help of data mining techniques useful decision can be made in disease curing and disease analysis. Apriori algorithm is an influential algorithm for decision making. In this paper the authors had implemented association rule mining based aproiri algorithm for finding co-occurrence of disease with the help of medical repositories.
Citing this Journal Article :Mrs. D. Sheila Freeda, "Co-occurrence of disease analysis using association rule mining based on apriori algorithm", Volume 7 Issue 2 - July 2016, 381-387
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