Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6411
Title: Comparison of different classification algorithms in clinical decision-making
Authors: Übeyli, Elif Derya
Keywords: classification algorithms
automated diagnostic systems
clinical decision-making
diagnostic accuracy
Issue Date: 2007
Publisher: Wiley
Abstract: This paper gives an integrated view of implementing automated diagnostic systems for clinical decision-making. Because of the importance of making the right decision, better classification procedures are necessary for clinical decisions. The major objective of the paper is to be a guide for readers who want to develop an automated decision support system for clinical practice. The purpose was to determine an optimum classification scheme with high diagnostic accuracy for this problem. Several different classification algorithms were tested and benchmarked for their performance. The performance of the classification algorithms is illustrated on two data sets: the Pima Indians diabetes and the Wisconsin breast cancer. The present research demonstrates that the support vector machines achieved diagnostic accuracies which were higher than those of other automated diagnostic systems.
URI: https://doi.org/10.1111/j.1468-0394.2007.00418.x
https://hdl.handle.net/20.500.11851/6411
ISSN: 0266-4720
1468-0394
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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