@inproceedings{ed2265fe30294ad7bca470cf559b7876,
title = "Using the gamma test in the analysis of classification models for time-series events in urodynamics investigations",
abstract = "Urodynamics is a clinical test in which time series data is recorded measuring internal pressure readings as the bladder is filled and emptied. Two sets of descriptive statistics based on various pressure events from urodynamics tests have been derived from time series data. The suitability of these statistics for use as inputs for event classification through neural networks is investigated by means of the gamma test. BFGS neural network models are constructed and their classification accuracy measured. Through a comparison of the results, it is shown that the gamma test can be used to predict the reliability of models before the neural network training phase begins.",
author = "Steve Hogan and Paul Jarvis and Ian Wilson",
year = "2011",
month = dec,
day = "1",
doi = "10.1007/978-1-4471-2318-7-23",
language = "English",
isbn = "9781447123170",
series = "Res. and Dev. in Intelligent Syst. XXVIII: Incorporating Applications and Innovations in Intel. Sys. XIX - AI 2011, 31st SGAI Int. Conf. on Innovative Techniques and Applications of Artificial Intel.",
pages = "299--310",
booktitle = "Research and Development in Intelligent Systems XXVIII",
note = "31st SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI 2011 ; Conference date: 13-12-2011 Through 15-12-2011",
}