MATHEMATICAL MODELLING OF SURVIVAL IN LOW GRADE GLIOMAS AT MALIGNANT TRANSFORMATION WITH XGBOOST
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DOI: 10.1093/neuonc/noae158.048
Abstract: To develop non-linear machine learning models using the XGBoost algorithm to predict a continuous (overall survival (OS) and a binary survival outcome (OS > 5 years) using clinical, molecular and genetic, and radiomic data. Patients… read more here.
Keywords: xgboost; survival; malignant transformation; modelling survival ... See more keywords