Abstract
In this paper we present a general framework for decision support in cancer diseases. The framework is based on profiling patients with similar characteristics and based on these profiles, advanced decision support is provided to new patients. The novel feature of the proposed work is the integration of clinical with genetic data, in the most prominent way so as to maximize the information related to the status of a patient. The paper also presents a specific implementation that integrates sequence data and Single Nucleotide Polymorphisms, related to colon cancer, with clinical data, recommended by the experts to play a vital role in colon cancer. The outcome of the specific implementation is a set of clinico-genomic profiles, which are employed for decision support, autometed diagnosis, prognosis, treatment and follow-up in colon cancer.
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