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Using Markers to Aid Decision Making in Diagnostics

J. Knizek, Jan Sindelar, Borivoj Vojtesek, Pavel Bouchal, Rudolf Nenutil, Ladislav Beranek, Ondrej Dedik


In this paper we describe deductively the algorithm of ”Using Markers to Aid Decision Making in Diagnostics”. The algorithm is based on the application of the special simultaneous tests. The basic algorithmic construction of used tests has already been described in this journal. It is ”Test of the Hypothesis That One Group of Dependences is Consistent with Another Group of Dependences” for a case when the error disturbances of the data have normal distribution. Further, the algorithm is based on already executed applications of the appropriate ”Identification of Markers by Simultaneous Tests in a Set of Quantifying Dependences”, also published in this journal. The proposed algorithm allows statistical decision making about e.g., suspicion of disease in a patient with the help of the appropriate mass spectra database analysis. The proposed algorithm is applicable generally to arbitrary problems from other human activity branch formally of type ”Using Markers to Aid Decision Making in Diagnostics”.


Diagnosis; Decision making; Markers; Biomarkers; Mass spectra.

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