4 results

The use of data-mining to identify indicators of health related quality of life in patients with irritable bowel syndrome.

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

A comparison of missing value imputation methods for classifying patient outcome following trauma injury.

Conference Proceeding
Penny, K. I., & Chesney, T. (2008)
A comparison of missing value imputation methods for classifying patient outcome following trauma injury. In ITI 2008 - 30th International Conference on Information Technology Interfaces, 367-370. https://doi.org/10.1109/ITI.2008.4588437
A study is designed to compare several missing value imputation methods to enable classification of patient outcome following trauma injury. The Glasgow coma score is a measur...

Data Mining Medical Information: Should Artificial Neural Networks Be Used to Analyse Trauma Audit Data?

Book
Chesney, T., Penny, K., Oakley, P., Davies, S., Chesney, D., Maffulli, N., & Templeton, J. (2008)
Data Mining Medical Information: Should Artificial Neural Networks Be Used to Analyse Trauma Audit Data?. In J. Wang (Ed.), Data Warehousing and Mining, 2915-2927. IGI Global. doi:10.4018/978-1-59904-951-9.ch186
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 s...

Data mining trauma injury data with imputed values.

Conference Proceeding
Penny, K. I., & Chesney, T. (2007)
Data mining trauma injury data with imputed values. In Proceedings of the First joint meeting of the Societe Francophone de Classification and the Classification and Data Analysis Group of the Italian Statistical Society (SFC-CLADAG 2008), 391-392
No abstract available.