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  4. 3(101)'2012
  5. Building of a decision tree using complex evaluation of a clinical process

Building of a decision tree using complex evaluation of a clinical process

K.A. Beletskiy, A.I. Povoroznyuk, О.A. Povoroznyuk
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In this work the methods for synthesizing a decision tree using a complex assessment of a clinical process in decision support systems are reviewed. The main data processing stages are also reviewed. It is noted that only the errors of diagnosis stage are minimized, when synthesizing a binary decision tree using hierarchical clustering in symptom’s area. It’s proposed to make hierarchical clustering in pharmacological area instead of the symptoms area. This is necessary for minimizing a complex error of both the diagnosis stage and the medical rehabilitation stage. Also the necessary metric and the clustering criterion are developed.
Keywords: diagnosis, rehabilitation, the person making decisions, the decision tree, likelihood ratio, decision rule, clustering criterion, the pharmacological area