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.
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IV. References
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Kasabov, N. (2008). Data Mining, Modeling and Knowledge Discovery Methods for Personalised Biomedical Decision Support Systems. In: Abu Osman, N.A., Ibrahim, F., Wan Abas, W.A.B., Abdul Rahman, H.S., Ting, HN. (eds) 4th Kuala Lumpur International Conference on Biomedical Engineering 2008. IFMBE Proceedings, vol 21. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69139-6_8
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DOI: https://doi.org/10.1007/978-3-540-69139-6_8
Publisher Name: Springer, Berlin, Heidelberg
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