INSPIRING FUTURES

A comparison of data mining methods and logistic regression to determine factors associated with death following injury.

Penny, Kay I and Chesney, Thomas (2006) A comparison of data mining methods and logistic regression to determine factors associated with death following injury. In: Data analysis, classification and the forward search: proceedings of the meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, Univeristy of Parma June 6-8 2005. Studies in Classification, Data Analysis, and Knowledge Organization . Springer Berlin Heidelberg, London, pp. 417-423. ISBN 9783540359777

Full text not available from this repository. (Request a copy)

Abstract/Description

A comparison of techniques for analysing trauma injury data collected over ten years at a hospital trauma unit in the U.K. is reported. The analysis includes a comparison of four data mining techniques to determine factors associated with death following injury. The techniques include a classification and regression tree algorithm, a classification algorithm, a neural network and logistic regression. As well as techniques within the data mining framework, conventional logistic regression modelling is also included for comparison. Results are compared in terms of sensitivity, specificity, positive predictive value and negative predictive value.

Item Type: Book Section
Print ISSN: 1431-8814
ISBN: 9783540359777
Electronic ISBN: 9783540359784
Uncontrolled Keywords: Trauma injury; Data mining; Classification and regression tree algorithm; Classification algorithm; Neural network; Logistic regression
University Divisions/Research Centres: Faculty of Health, Life & Social Sciences > School of Nursing, Midwifery and Social Care
Dewey Decimal Subjects: 600 Technology > 610 Medicine & health > 610 Medicine & health
000 Computer science, information & general works > 000 Computer science, knowledge & systems > 005 Computer programming, programs & data
Library of Congress Subjects: R Medicine > R Medicine (General)
Q Science > QA Mathematics > QA76 Computer software
Item ID: 1578
Depositing User: RAE Import
Date Deposited: 04 Apr 2008 15:00
Last Modified: 13 Dec 2013 10:56
URI: http://researchrepository.napier.ac.uk/id/eprint/1578

Actions (login required)

View Item

Edinburgh Napier University is a registered Scottish charity. Registration number SC018373