QAMC publications

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Here is a complete list of the publications related to the QAMC project.

1997

1
D. R. Lovell, B. Rosario, M. Niranjan, R. W. Prager, K. J. Dalton, R. Derom, and J. Chalmers, ``Design, construction and evaluation of systems to predict risk in obstetrics,'' International Journal of Medical Informatics, 1997. To appear. Abstract. Compressed Postscript (9 pages, 109 kb).

2
D. R. Lovell, M. Niranjan, R. W. Prager, K. J. Dalton, and R. Derom, ``A guide to the QAMC obstetric risk prediction web page,'' Tech. Rep. CUED/F-INFENG/TR301, Cambridge University Engineering Department, September 1997.
Abstract. Compressed Postscript (15 pages, 70.3 kb). Also available here .

3
D. R. Lovell, M. J. J. Scott, M. Niranjan, R. W. Prager, K. J. Dalton, and R. Derom, ``On the use of Expected Attainable Discrimination for feature selection in large scale medical risk prediction problems,'' Tech. Rep. CUED/F-INFENG/TR299, Cambridge University Engineering Department, August 1997.
Abstract. Compressed Postscript (20 pages, 163 kb).


1996

1
D. R. Lovell, C. R. Dance, M. Niranjan, R. W. Prager, K. J. Dalton, and R. Derom ``Feature selection using Expected Attainable Discrimination,'' submitted to Pattern Recognition Letters, 1996.
Abstract. Compressed Postscript (9 pages, 109 kb).

2
D. R. Lovell, C. R. Dance, M. Niranjan, R. W. Prager, and K. J. Dalton, ``What patient information allows us to make accurate predictions of outcome?,'' in 18th Annual International Conference of IEEE Engineering in Medicine and Biology Society, (Amsterdam, the Netherlands), 1996.
Abstract. Compressed Postscript (2 pages, 58.4 kb).

3
D. R. Lovell, C. R. Dance, M. Niranjan, R. W. Prager, and K. J. Dalton, ``Using bounds on discrimination to select discrete valued features,'' in Networks for Signal Processing VI (S. Usui, Y. Tohkura, S. Katagiri, E. Wilson, eds.), (Keihanna, Japan), pp. 233--242, 1996.
Abstract. Compressed Postscript (10 pages, 61.5 kb).

4
D. R. Lovell, C. R. Dance, M. Niranjan, R. W. Prager, and K. J. Dalton, ``Ranking the effect of different features on the classification of discrete valued data,'' in Engineering Applications of Neural Networks, (Kingston on Thames, London), pp. 487--494, 1996.
Abstract. Compressed Postscript (8 pages, 76.2 kb).

5
D. R. Lovell, C. R. Dance, M. Niranjan, R. W. Prager, and K. J. Dalton, ``Limits on the discrimination possible with discrete valued data, with application to medical risk prediction,'' Tech. Rep. CUED/F-INFENG/TR243, Cambridge University Engineering Department, January 1996.
Abstract. Compressed Postscript (17 pages, 209 kb).


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