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Found 3 papers, 1 papers with code
Deep Learning for Survival Analysis: A Review
The influx of deep learning (DL) techniques into the field of survival analysis in recent years has led to substantial methodological progress; for instance, learning from unstructured or high-dimensional data such as images, text or omics data.
Factorized Structured Regression for Large-Scale Varying Coefficient Models
Here, we propose Factorized Structured Regression (FaStR) for scalable varying coefficient models.
DeepPAMM: Deep Piecewise Exponential Additive Mixed Models for Complex Hazard Structures in Survival Analysis
Survival analysis (SA) is an active field of research that is concerned with time-to-event outcomes and is prevalent in many domains, particularly biomedical applications.
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