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Machine Learning-Assisted Recurrence Prediction for Early-Stage Non-Small-Cell Lung Cancer Patients. (arXiv:2211.09856v1 [cs.LG])
cs.LG updates on arXiv.org arxiv.org
Background: Stratifying cancer patients according to risk of relapse can
personalize their care. In this work, we provide an answer to the following
research question: How to utilize machine learning to estimate probability of
relapse in early-stage non-small-cell lung cancer patients?
Methods: For predicting relapse in 1,387 early-stage (I-II), non-small-cell
lung cancer (NSCLC) patients from the Spanish Lung Cancer Group data (65.7
average age, 24.8% females, 75.2% males) we train tabular and graph machine
learning models. We generate automatic explanations …
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