ML Approaches for RUL Prediction, Anomaly Detection, Survival Analysis and Failure Classification
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Updated
Dec 5, 2023 - Jupyter Notebook
ML Approaches for RUL Prediction, Anomaly Detection, Survival Analysis and Failure Classification
Modelling time-varying covariates effect on survival via functional data analysis: application to the MRC BO06 trial in osteosarcoma.
Dynamic monitoring of the effects of adherence to medication on survival in heart failure patients: A joint modelling approach exploiting time-varying covariates.
Advanced survival analysis using ASA‑aligned methods, including Cox PH modeling, Kaplan–Meier curves, hazard estimation, diagnostics, and reproducible time‑to‑event workflows. Built as a professional portfolio project demonstrating modern statistical survival modeling.
From Causal Auditing to Value Maximization: Individualized Management Guidelines for Smart Energy Assets
Cox models for time-varying covariate in large population-cohorts
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