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Biological variable XRCC1 CNV showed good overall fit to RB outcome data (p<0.001). When added to the logistic regression modeling, XRCC1 CNV improved classification performance over standard dosimetric models by 33.5%. No clinical variables were found to adequately fit the data.As a proof-of-concept, we demonstrated that the combination of genetic and dosimetric variables could provide significant improvement in NTCP prediction using data-driven approaches. Moreover, we have shown that visualization techniques aid in interpreting multivariate model predictions.

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