end-to-end survival analysis on 15,054 breast cancer patients using Kaplan–Meier, Cox PH, and Weibull AFT models to identify prognostic factors and evaluate survival outcomes
python machine-learning biostatistics survival-analysis predictive-modeling kaplan-meier oncology lifelines cox-ph healthcare-analytics clinical-analysis weibull-aft breat-cancer
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Updated
Jun 8, 2026 - Python