Abstract
Field evaluation of AI systems or software systems in general is a challenging research topic. During the last few years we have developed a software-based eye screening system. In this paper we describe our work on evaluating several important aspects of the system.We have systematically studied the key issues involved in evaluating software quality and carried out the evaluations using different strategies. After a brief introduction of the system, this work is described from a data-analysis problem-solving perspective, involving problem analysis, data collection, and data analysis.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Basili, V, Selby, R and Hutchens, D, Experimentation in Software Engineering. IEEE Transactions on Software Engineering, SE-12 (1988) 733–743.
Cheng, G, Liu, X, Wu, J X and Jones, B, Establishing a Reliable Visual Function Test and Applying it to Screening Optic Nerve Disease in Onchocercal Communities. International Journal of Bio-Medical Computing, 41 (1996) 47–53.
Cheng, G, Liu, X, Wu, J X, Jones, B and Hitchings, R, Discovering Knowledge from Visual Field Data: Results in Optic Nerve Diseases. Medical Informatics Europe’ 96, (1996), 629–633.
Cho, K W, Liu, X, Loizou, G, and Wu, J X, An AI Approach to Dynamic Visual Field Testing. Computers and Biomedical Research, 31 (1998) 143–163.
Cohen, P R, Empirical Methods for Artificial Intelligence. MIT Press, (1995).
Hand, D J, Deconstructing Statistical Questions (with discussion). Journal of the Royal Statistical Society, Series A, 157 (1994) 317–56.
Hanely, J X and McNeil, B J, The Meaning and Use of the Area under a Receiver Operator Characteristic (ROC) Curve. Radiology, 143 (1982) 29–36.
ISO International Standard, Information Technology-Software Product Evaluation-Quality Characteristics and Guidelines for Their Use. ISO/IEC 9126, (1991).
Kitchenham, B, Towards a Constructive Quality Model: Software Quality Modelling, Measurement and Prediction. Software Engineering Journal, 2 (1987) 105–113.
Liu, X., Cheng, G. and Wu, J. X.: Noise and Uncertainty Management in Intelligent Data Modelling. Proc. of 12th National Conference on Artificial Intelligence (AAAI-94), 263–268
Liu, X, Cheng, G and Wu, J X, AI for Public Health: Self-Screening for Eye Diseases. IEEE Intelligent Systems, 13:5 (1998) 28–35.
Wu, J X, Visual Screening for Blinding Diseases in the Community Using Computer Controlled Video Perimetry, PhD thesis, University of London, (1993).
Wu, J X, Fitzke, F, Poinoosawmy, D, Hitchings, R, and Johnson, G, Variability in Glaucomatous Visual Damage Measured with Motion Detection. Investigative Ophthalmology and Visual Science, 34 (1993) 1475.
Wu, J X, Jones, B, Cassels-Brown, A, Murdoch, I, Adeniyi, F, Alexander, N, Minassian, D, and Abiose, A, Preliminary Report on the Use of Laptop Computer Perimetry with a Motion Sensitivity Screening Test to Detect Optic Nerve Disease in Onchocercal Communities of Rural Nigeria. Perimetry Update 1992/93, (1992) 323–329.
Wyatt, J and Spiegelhalter, D, Field Trials of Medical Decision-Aids: Potential Problems and Solutions. Proc. of the 15th Symposium on Computer Application in Medical Care, Washington, 3–7, (1991).
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1999 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Cheng, G., Cho, K., Liu, X., Loizou, G., Wu, J.X. (1999). Evaluating an Eye Screening Test. In: Hand, D.J., Kok, J.N., Berthold, M.R. (eds) Advances in Intelligent Data Analysis. IDA 1999. Lecture Notes in Computer Science, vol 1642. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48412-4_39
Download citation
DOI: https://doi.org/10.1007/3-540-48412-4_39
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66332-4
Online ISBN: 978-3-540-48412-7
eBook Packages: Springer Book Archive