Investigating the Use of Nearest-neighbor Interpolation for Cancer Research
نویسندگان
چکیده
We investigate in how far interpolation mechanisms based on the nearest-neighbor rule (NNR) can support cancer research. The main objective is to use the NNR to predict the likelihood of tumorigenesis based on given risk factors. By using a genetic algorithm to optimize the parameters of the nearest-neighbor prediction, the performance of this interpolation method can be improved substantially. Furthermore, it is possible to detect risk factors which are hardly or not relevant to tumorigenesis. Our preliminary studies demonstrate that NNR-based interpolation is a simple tool that nevertheless has enough potential to be seriously considered for cancer research or related research.
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