Medical Knowledge-Based Decision Support System
This paper is devoted to the problem of automated support of decision-taking process in healthcare. The theranostic process is typified as a special case of an administrative process. Correct solutions of problems in medicine are based on metering big amounts of data. These data are represented by facts from real-life experiences and numerous guidance of evidence-based healthcare. Taking into account an enormous aggregation of data for a special isolated case is possible with application of an automated decision support system based on technology of artificial neural networks or genetic algorithms.
KeywordsDecision-taking process Theranostic process Artificial neural network Genetic algorithm Automated decision support system Machine learning
This work was supported by Competitiveness Growth Program of the Federal Autonomous Educational Institution of Higher Professional Education National Research Nuclear University MEPhI (Moscow Engineering Physics Institute).
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