Machine Learning for Personalized Medicine

Marie-Curie Action: "Initial Training Networks"

Gaussian processes for survival analysis

by Aki Vehtari

I discuss how Gaussian processes can be used to improve commonly used models in survival analysis, such as, Cox proportional hazards models, accelerated failure time models, time dependent covariate models, and missing data imputation models. I also discuss methods to handle the challenging computation.

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