Home   >   CSC-OpenAccess Library   >    Manuscript Information
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
Machine Learning, Data Mining, Decision Tree
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.
1 Google Scholar 
2 CiteSeerX 
3 refSeek 
4 Scribd 
5 SlideShare 
6 PdfSR 
Abdel-badeeh M.Salem, Abeer M.Mahmoud (2002). “A hybrid genetic algorithm –Decision tree classifier,” IJICIS, 2(2)
Shanthi D, Sahoo G, Saravanan N. (2008). “Input Feature Selection using Hybrid NeuroGenetic Approach in the diagnosis of Stroke.” International Journal of Computer Science and Network Security, ISSN: 1738-7906, 8(12):99-10
Abbass, H.A., Towsey M., &Finn G. (2001). C-Net: “A Method for Generating Nondeterministic and Dynamic Multivariate Decision Trees.” Knowledge and Information Systems: An International Journal, Springer-Verlag, 5(2).
Banning, M. (2007). “A review of clinical decision making models and current research,” Journal of clinical nursing, [online] available at:http://www.blackwellsynergy.com/doi/pdf/10.1111/j.1365-2702.2006.01791.x
Breiman L, Friedman JH, Olshen RA, et al., (1984). “Classification and regression trees.” Belmont Calif: Wadsworth International Group.
DTREG version 9.1 “Decision Tree Software for Predictive Modeling and Forecasting”
F.S,Khan, R,M,Anwer, of Torgersson, and G. Falkman (2009), “Data Mining in Oral Medicine Using Decision Trees”, International Journal of Biological and Medical Sciences 4:3.
Fayyad, U., Piatetsky-Shaprio, G., Smyth, P. & Uthurusamy, R. (1996). (eds.),” Advances in Knowledge Discovery and Data Mining”, MIT Press, Cambridge, MA
Gehrke, J., Ramakrishnan, R., & Ganti, V. (1998). “Rain-Forest A framework for fast decision tree construction of large datasets”. Proceedings of the 24 th International Conference on Very Large Data Bases, pp. 416–427.
Hillier, F. & Lieberman, G. (2001). “Introduction to Operations Research,” McGrawHill, Boston.
M. Zorman, V.Podgorelec, P.Kokol, M.Peterson, J. Lane (2000). “Decision tree's induction strategies evaluated on a hard real world problem.” In: 13th IEEE symposium on computerbased medical systems 22-24 June 2000, Houston, Texas, USA: proceedings, Los Alamitos, IEEE Computer Society 19-24.
Quinlan JR (1993) C4.5: “programs for machine learning”. California: Morgan Kaufmann Publishers.
Quinlan, J. R. (1986). “Induction of decision trees”. Machine Learning, 1, 81–106
Shafer, J., Agrawal, R., & Mehta, M. (1996). “SPRINT: A scalable parallel classifier for data mining.” Proceedings of the 22 th International Conference on Very Large Data Bases, pp. 544–555.
Shanthi D, Sahoo G, Saravanan N. (2009), ”Comparison of Neural Network Training Algorithms for the prediction of the patient’s post-operative recovery area”, Journal of Convergence Information Technology, ISSN: 1975-9320,4(1):24-32.
T. af Klercker (1996): “Effect of Pruning of a Decision-Tree for the Ear, Nose and Throat Realm in Primary Health Care Based on Case-Notes”. Journal of Medical Systems, 20(4): 215-226.
“UCI Machine Learning Repository” [online] available at:. (http://www.ics.uci.edu/~mlearn/MLSummary.html). The data was originally created by Sharon Summers (School of Nursing, University of Kansas) and Linda Woolery (School of Nursing, University of Missouri) and donated by Jerzy W. Grzymala-Busse.
Mr. Shanthi Dhanushkodi
Mazoon University College - Oman
Dr. G.Sahoo
Birla Institute of Technology - India
Dr. Saravanan Nallaperumal
Mazoon University College - Oman