Statistical Methods for the Analysis of Disease Processes
This paper is concerned with three problems connected with the processing of clinical and laboratory data: (i) construction of a generalized index for the seriousness of a disease; (ii) estimation of the information content of biochemical indices and (iii) statistical estimation of the parameters of disease models. These problems arise both in clinical practice and during theoretical investigations of disease mechanisms: solutions would be of great value in the study of disease processes. Since the problems are concerned with the analysis of experimental data it seems natural to tackle them using probability methods. This paper gives a brief description of the approach to the above problems developed at the Department of Numerical Mathematics in Moscow.
KeywordsEntropy Hepatitis Covariance Neral
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