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Decision Tree Classifiers to determine the patient’s Post-operative Recovery Decision
Shanthi Dhanushkodi, G.Sahoo, Saravanan Nallaperumal
Pages - 75 - 87     |    Revised - 31-01-2011     |    Published - 08-02-2011
Volume - 1   Issue - 4    |    Publication Date - December 2010  Table of Contents
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KEYWORDS
Machine Learning, Data Mining, Decision Tree
ABSTRACT
Machine Learning aims to generate classifying expressions simple enough to be understood easily by the human. There are many machine learning approaches available for classification. Among which decision tree learning is one of the most popular classification algorithms. In this paper we propose a systematic approach based on decision tree which is used to automatically determine the patient’s post–operative recovery status. Decision Tree structures are constructed, using data mining methods and then are used to classify discharge decisions.
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Mr. Shanthi Dhanushkodi
Mazoon University College - Oman
dshan71@gmail.com
Dr. G.Sahoo
Birla Institute of Technology - India
Dr. Saravanan Nallaperumal
Mazoon University College - Oman