Data mining, modeling and knowledge discovery methods for personalised biomedical decision support systems

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Abstract

The paper is concerned with computational methods and systems for personalized modeling - an important topic for the future of biomedical applications. Issues discussed include: storing data and information in ontologies; personalized modeling techniques based on nearest-neighbour approach; data mining and personalized profiling; applications in cancer genetics; applications in brain-gene modelling; applications in chronic disease risk prediction. © 2008 Springer-Verlag.

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APA

Kasabov, N. (2008). Data mining, modeling and knowledge discovery methods for personalised biomedical decision support systems. In IFMBE Proceedings (Vol. 21 IFMBE, pp. 11–12). Springer Verlag. https://doi.org/10.1007/978-3-540-69139-6_8

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