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- W2116465319 abstract "The integration of chemotherapy and radiotherapy for the treatment of advanced head and neck cancer is still a matter of clinical investigation. An important limitation is that the concomitant administration of chemotherapy and radiotherapy still induces severe toxicity. In this paper, a simple artificial neural network is used to predict, on the basis of biological and clinical data, if the cumulative toxicity of the combined chemo-radiation treatment itself would be tolerated. The resulting method, tested on clinical data from a phase II trial, proved to be able to forecast which patients will tolerate a combined chemo-radiotherapeutic approach. This result should open a new perspective in the clinical approach, by supplying a potential predictive indicator for toxicity." @default.
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- W2116465319 date "2002-08-01" @default.
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- W2116465319 title "Forecasting the performance status of head and neck cancer patient treatment by an interval arithmetic pruned perceptron" @default.
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- W2116465319 doi "https://doi.org/10.1109/tbme.2002.800788" @default.
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