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Application of data mining techniques in healthcare database


FN Ogwueleka

Abstract

Healthcare system have several and vast databases. Valuable information can be extracted from these data stores through the application of data mining techniques. Data mining is a powerful tool that will help healthcare system to focus on the data warehouse important information as it extracts hidden predictive information from large databases. Classification based data mining techniques such as artificial neural network and rule based for use in knowledge discovery of the massive volume of healthcare data was examined. Neural networks was used because of its ability to adapt and generalize. The rule base depends on a set of expert rules designed to identify different patterns in healthcare data. The rules were created using the knowledge of what characterizes healthcare data. The rules made it possible for the system to automate the processes stabilizing the knowledge gained over time as regards the characteristics of healthcare data.

Keywords: Data mining, artificial neural network, rule based, healthcare data, database


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eISSN: 1019-1593