The transition probabilities for 25 transitions from initial state to each intermediate and absorbing states were estimated using a Kaplan-Meier test through the wide-format datset. Transition probabilities for hazard functions were estimated using the lifelines package in Python within a Visual Studio Code integrated development environment.
Gene-expression survival modeling with Cox PH, DeepSurv, gated attention, and perturbation-based interpretability on METABRIC
Analyzing NYC EMS response time and lifecycle delays using 8 machine learning models and a DeepSurv survival model to predict ambulance arrival reliability.
Cardiovascular Disease Risk Prediction from Cardiac CT and Risk Factors Using Deep Survival Networks
End-to-end radiomics and machine learning pipeline for progression-free survival analysis using CoxPH and DeepSurv.
"Structural Hazards in Global Production: A Graph Neural Network Approach to Sectoral Survival"** by Diego Vallarino (2025), as a Working Paper status
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