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Despite various efforts to develop new predictive models for early detection of tumor local failure in locally advanced non-small cell lung cancer (NSCLC), many patients still suffer from a high local failure rate after radiotherapy. Based on recent studies of biomarker proteins' role in predicting tumor response following radiotherapy, we hypothesize that incorporation of physical and biological...
Missing data is a given in the medical domain, so machine learning models should have satisfactory performance even when missing data occurs. Our previous work has focused on support vector machines (SVM), but we hypothesize that Bayesian networks (BN) can handle missing data better. To test the hypothesis, we trained a BN and SVM model for 2 year survival on 322 lung cancer patients and compared...
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