Research Staff |
Dr Julian Tilbury |
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Project |
Evaluation of Intelligent Medical Systems |
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Director of Studies |
Professor Emmanuel Ifeachor |
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Supervisors |
Mr J Curnow and Dr J Garibaldi |
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IEEE Biography
Julian B. Tilbury received the HND degree from University of Plymouth (formerly Plymouth Polytechnic), Devon, U.K., in 1984. He received the M.Sc. degree in intelligent systems and cognitive psychology from Plymouth University in 1996. He is currently a Ph.D. degree student in the Center for Intelligent Systems, University of Plymouth. He was a Computer Programmer at the Electricity Council Research Center, Capenhurst, the Computer Center, Salford University, and Salford Software for 11 years after receiving the HND degree and before returing to his studies at Plymouth.
Research Project
The research consists of a theoretical development of a new, objective, statistical methodology for evaluating intelligent medical systems, and an investigation into its application to real world medical systems. In this safety critical area, this work is of fundamental importance and, potentially, would increase the number of intelligent systems introduced into clinical practice. The work involves a fundamental investigation into ROC analysis, probability theory and confusion matrices.
Publications
Objective Evaluation of Intelligent Medical Systems using Bayesian Approach to Analysis of ROC Curves
Julian Tilbury, Peter Van-Eetvelt, John Curnow, Emmanuel C. Ifeachor
Proceedings of the 1st International Conference on Computational Intelligence in Medicine and Healthcare (CIMED'03), July 21-23, 2003 - Sheffield Hallam University, Sheffield, United Kingdom
[PPT]Evaluation of Intelligent Medical Systems
Julian Tilbury
PhD Thesis University of Plymouth, 2002
Receiver Operating Characteristic Analysis for Intelligent Medical Systems—A New Approach for Finding Confidence Intervals
Julian Tilbury, Peter Van-Eetvelt, Jon Garibaldi, John Curnow, and Emmanuel C. Ifeachor
IEEE Transactions Biomedical Engineering, Vol. 47, No. 7, July 2000, pp. 952-963.
[link]The validation of a fuzzy expert system for umbilical cord acid-base analysis
Jon Garibaldi, Julian Tilbury, Emmanuel C. Ifeachor
Proceedings of the 3rd International Conference on Neural Networks and Expert Systems in Medicine and Healthcare (NNESMED-98),
Rapid Computation of the Permutation Paired and Grouped t-tests
R. D. Baker, Julian Tilbury
Applied Statistics, Vol.42, No.2, pp.432-441, 1993.
