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.
|Title of host publication||Data Analysis, Classification and the Forward Search|
|Subtitle of host publication||Proceedings of the meeting of CLADAG 2005|
|Editors||S Zani, A Cerioli, M Riani, M Vichi|
|Place of Publication||Heidelberg|
|Publisher||Springer-Verlag Berlin Heidelberg|
|Publication status||Published - 2006|
|Name||Studies in Classification, Data Analysis, and Knowledge Organization.|