Outputs (2)

A comparison of data mining methods and logistic regression to determine factors associated with death following injury. (2006)
Book Chapter
Penny, K. I., & Chesney, T. (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 Classi

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

Data mining medical information: should artificial neural networks be used to analyse trauma audit data? (2006)
Journal Article
Chesney, T., Penny, K. I., Oakley, P., Davies, S., Chesney, D., Maffulli, N., & Templeton, J. (2006). Data mining medical information: should artificial neural networks be used to analyse trauma audit data?. International Journal of Healthcare Information Systems and Informatics, 1, 51-64. https://doi.org/10.4018/jhisi.2006040104

Trauma audit is intended to develop effective care for injured patients through process and outcome analysis, and dissemination of results. The system records injury details such as the patient’s sex and age, the mechanism of the injury, various meas... Read More about Data mining medical information: should artificial neural networks be used to analyse trauma audit data?.