asp616848/Glioblastoma-ML-model
Survival Prediction of GlioBlastoma Patients using Ensemble architecture of random forest, xgboost and logistic regression classifiers. Uses Optuna for tuning, SMOTE for imbalances, CNN for feature extraction, LDA for feature pre-processing, MPL and Seaborn for visualizations and concordance index as the performance metrics.
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