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Found 5 papers, 2 papers with code
Real-time Mortality Prediction Using MIMIC-IV ICU Data Via Boosted Nonparametric Hazards
Electronic Health Record (EHR) systems provide critical, rich and valuable information at high frequency.
BoXHED2.0: Scalable boosting of dynamic survival analysis
Modern applications of survival analysis increasingly involve time-dependent covariates.
BoXHED: Boosted eXact Hazard Estimator with Dynamic covariates
BoXHED 1. 0 is a novel tree-based implementation of the generic estimator proposed in Lee, Chen, Ishwaran (2017), which was designed for handling time-dependent covariates in a fully nonparametric manner.
Boosted nonparametric hazards with time-dependent covariates
Given functional data from a survival process with time-dependent covariates, we derive a smooth convex representation for its nonparametric log-likelihood functional and obtain its functional gradient.
Super-resolution estimation of cyclic arrival rates
Exploiting the fact that most arrival processes exhibit cyclic behaviour, we propose a simple procedure for estimating the intensity of a nonhomogeneous Poisson process.
