Mining trauma injury data with imputed values

Penny, Kay I; Chesney, Thomas

doi:10.1002/sam.10044

All Outputs (4)

Data mining trauma injury data using C5.0 and logistic regression to determine factors associated with death. (2009)
Journal Article
Chesney, T., Penny, K. I., Chesney, D., Oakley, P., Viglas, S., Templeton, J., & Maffulli, N. (2009). Data mining trauma injury data using C5.0 and logistic regression to determine factors associated with death. International Journal of Healthcare Technology and Management, 10, 16-26. https://doi.org/10.1504/IJHTM.2009.023725

Trauma injury data collected over 10 years at a UK hospital are analysed. The data include injury details such as patient age and gender, the mechanism of injury, various measures of injury severity, management interventions, and treatment outcome. L... Read More about Data mining trauma injury data using C5.0 and logistic regression to determine factors associated with death..

Editorial: Statistical guidelines for JCN (2009)
Journal Article
Penny, K. I. (2009). Editorial: Statistical guidelines for JCN. Journal of Clinical Nursing, 18, 1521-1522. https://doi.org/10.1111/j.1365-2702.2008.02404.x

The use of data-mining to identify indicators of health related quality of life in patients with irritable bowel syndrome. (2009)
Conference Proceeding
Penny, K. I., & Smith, G. D. (2009). The use of data-mining to identify indicators of health related quality of life in patients with irritable bowel syndrome. In Proceedings of the ITI 2009 31st International Conference on Information Technology Interfaces, 87-92. https://doi.org/10.1109/ITI.2009.5196059

Mining trauma injury data with imputed values (2009)
Journal Article
Penny, K. I., & Chesney, T. (2009). Mining trauma injury data with imputed values. Statistical Analysis and Data Mining, 2, 246-254. https://doi.org/10.1002/sam.10044

Methods for analyzing trauma injury data with missing values, collected at a UK hospital, are reported. One measure of injury severity, the Glasgow coma score, which is known to be associated with patient death, is missing for 12% of patients in the... Read More about Mining trauma injury data with imputed values.