Abstract
The modern stage of digital transformation of healthcare has defined the creation and application of intelligent decision support systems as one of the main tasks. The basis of systems of this class is the knowledge base management system, in which medical knowledge is formalized and accumulated. The medical knowledge representation model should adequately correspond to the decision-making process. The authors propose such a model based on the data flow graph described by means of combinatorial logic. As a unit of knowledge storage in the developed applicative-frame model is proposed that contains input attributes and a target attribute, the relationship between which is set by the application function. The decision inference procedure is a reduction of the tree of applicative frames. Formal reduction rules are given.
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Lebedev, G.S., Losev, A., Fartushniy, E., Zykov, S., Fomina, I., Klimenko, H. (2021). Applicative-Frame Model of Medical Knowledge Representation. In: Czarnowski, I., Howlett, R.J., Jain, L.C. (eds) Intelligent Decision Technologies. Smart Innovation, Systems and Technologies, vol 238. Springer, Singapore. https://doi.org/10.1007/978-981-16-2765-1_29
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DOI: https://doi.org/10.1007/978-981-16-2765-1_29
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