Abstract
Since clinical management of patients and clinical research are essentially time-oriented endeavors, reasoning about time has recently become a hot topic in medical informatics. Here we present a method for prognosis of temporal courses, which combines temporal abstractions with Case-Based Reasoning. The method was originally generated for multiparametric time course prognosis of the kidney function. Recently, we have started to apply the same ideas for the prognosis of the temporal spread of diseases. In this chapter, we mainly describe both applications and subsequently present a generalization of our method.
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Schmidt, R., Gierl, L. (2002). Case-Based Reasoning Prognosis for Temporal Courses. In: Schmitt, M., Teodorescu, HN., Jain, A., Jain, A., Jain, S., Jain, L.C. (eds) Computational Intelligence Processing in Medical Diagnosis. Studies in Fuzziness and Soft Computing, vol 96. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1788-1_5
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DOI: https://doi.org/10.1007/978-3-7908-1788-1_5
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