All Outputs (4)

An examination of subgroup classification in irritable bowel syndrome patients over time: a prospective study. (2008)
Journal Article
Penny, K. I., Smith, G. D., Steinke, D. T., Kinnear, M., Penman, I., & Ramsay, D. (2008). An examination of subgroup classification in irritable bowel syndrome patients over time: a prospective study. International Journal of Nursing Studies, 45, 1715-1720. doi:10.1016/j.ijnurstu.2008.04.004

Abstract Background Irritablebowel syndrome (IBS) is a complex functional gastrointestinal disorder which to date remains poorly understood. Therapies for irritablebowel syndrome (IBS) patients are usually aimed at relieving the predominant symptom... Read More about An examination of subgroup classification in irritable bowel syndrome patients over time: a prospective study..

Data Mining Medical Information: Should Artificial Neural Networks Be Used to Analyse Trauma Audit Data? (2008)
Book Chapter
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, 291

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?.

A comparison of missing value imputation methods for classifying patient outcome following trauma injury. (2008)
Presentation / Conference Contribution
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/10.11

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 measure of head injury severity, and is known to be important in determining pati... Read More about A comparison of missing value imputation methods for classifying patient outcome following trauma injury..

Data mining trauma injury data with imputed values. (2008)
Presentation / Conference Contribution
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 Socie

No abstract available.