COMBINED METHODOLOGY of the CLASSIFICATION RULES for MEDICAL DATA-SETS
Journal Title: INTERNATIONAL JOURNAL OF ENGINEERING TRENDS AND TECHNOLOGY - Year 2012, Vol 3, Issue 1
Abstract
‘Data mining’ offers methodological and technical solutions to deal with the analysis of medical data and construction of prediction models. A large variety of these methods requires general and simple guidelines that may help practitioners in making clinical decisions. The purpose of this study was to build a hybrid data mining model to extract classification knowledge for various health hazards to aid in clinical decisions in an emergency department. This study utilized real world data collected from an emergency department of a hospital and used a new model which is developed combining the Apriori algorithm and a C5.0 algorithm to generate a classification rule base for the classification of medical data-sets, which can help physicians to make clinical decisions faster and more accurately.
Authors and Affiliations
V. Sneha Latha# , P. Y. L. Swetha# , M. Bhavya# , G. Geetha# , D. K. Suhasini#
Keywords
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