Abstract
Discriminant function analysis is frequently used to classify individuals into a defined set of alternative categories as determined by some criterion extraneous to the mathematical procedure, and to do this possibly on a subset of available descriptors characterizing each individual.
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References
Bahadur, R.R., “A representation of joint distribution of responses to dichotomous items,” Studies in item analysis and prediction, H. Solomon, (ed.), Stanford Univ. Press:Stanford, 158–168, (1961).
Gleser, M.A., Collen, M.F., “Towards automated medical decisions,” Comp.Biomed. Res. 5: 180 - 189, (1972).
Henderson, C., “A trainable pattern classifier for medical questionnaires,” Ann. Biomed.Engin. 1: 115–133, (1972).
Henderson, C., “System design considerations for automated health screening,” Meth.Inf.Med. 13: 23–29, (1974).
Immich, H., Klinischer diagnosenschluessel, Schattauer: Stuttgart, New York, (1966).
Metz, C.E., Starr, S.J., Lusted, L.B., “Quantitative evaluation of visual detection performance in medicine: ROC analysis and determination of diagnostic benefit,” Presented at 7th L.H. Gray Conference, Leeds, England, 13–15 April, (1976).
Moehr, J.R., “Computer assisted medical history,” Habi1itationsschrift, Medizinische Hochschule, Hannover, (1976).
Moehr, J.R., Holthoff, G., “Untersuchungen zur teilautomatisation der erhebung einer basisanamnese,” Reichertz, P.I. (Hrsg.), Medizinische informatik (1975), Fruehjahrstagung des fachbereichs informatik der GMDS, 66–79, Springer: Berlin-Heidelberg - New York, (1976).
Moore, II, D.H., Evaluation of five discriminant procedures for binary variables,” Journ.Amer.Ststist.Dis. 68: 399–404, (1973).
Nie, N., et al., SPSS Statistical package for social sciences, McGraw Hill: New York, (1975):
Nilsson, N.J., Learning machines, McGraw Hill: New York, (1965).
Rubin, L., Collen, M.F., Goldman, G.E., “Frequency decision theoretical approach to automated medical diagnosis,” Proc. 5th Berkeley Symposium, LeCam,L.M., Neyman, J.(ed. ), Los Angeles, (1967).
Tou, J.T., Gonzales, B.C., Pattern recognition principles, Addi son-Wesley: New York, (1974).
Widrow, B., “Generalization of information storage in networks of adaline ‘neurons’,” Conference on self organizing systems, Marshall et al (ed.), Spartan books: Washington, (1962).
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Moehr, J.R., Raufmann, W., Juhnke, J. (1981). Diagnostic Classification of Medical History Data. In: Cardús, D., Vallbona, C. (eds) Computers and Mathematical Models in Medicine. Lecture Notes in Medical Informatics, vol 9. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-93159-8_14
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DOI: https://doi.org/10.1007/978-3-642-93159-8_14
Publisher Name: Springer, Berlin, Heidelberg
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