Abstract
In this chapter we present the basics of medical decision support systems, indicating their types and elements they should include. We also introduce the basic information on ovarian tumors as well as existing models supporting their differentiation. The techniques used to evaluate the efficacy of prediction methods are also discussed. We point to some problems connected with medical data imperfection.
It is curious that most medical curricula do not explicitly teach the student of medicine the meanings of the words ‘diagnosis’ and ‘disease’. The student is assumed to form his or her own mental picture of what is understood by these terms. A result of this is that most doctors have a largely intuitive idea of the meaning of these concepts, as they find out when they start thinking about them.
van Herk [54]
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Notes
- 1.
In this book we used an analysis report prepared for the purpose of the OvaExpert project (see Trąpczński [135]).
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Dyczkowski, K. (2018). Medical Foundations. In: Intelligent Medical Decision Support System Based on Imperfect Information. Studies in Computational Intelligence, vol 735. Springer, Cham. https://doi.org/10.1007/978-3-319-67005-8_2
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DOI: https://doi.org/10.1007/978-3-319-67005-8_2
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