@inproceedings{248a7c739feb4780bf21a69c87734b0a,
title = "A Comparison of Data Mining Methods and Logistic Regression to Determine Factors Associated with Death Following Injury",
abstract = "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.",
author = "Kay Penny and Thomas Chesney",
note = "{\textcopyright} Springer-Verlag Heidelberg 2006",
year = "2006",
doi = "10.1007/3-540-35978-8_46",
language = "English",
isbn = "978-3-540-35977-7",
series = "Studies in Classification, Data Analysis, and Knowledge Organization.",
publisher = "Springer-Verlag Berlin Heidelberg",
pages = "417--423",
editor = "S Zani and A Cerioli and M Riani and M Vichi",
booktitle = "Data Analysis, Classification and the Forward Search",
}