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Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
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Augmenting small tabular health data for training prognostic ensemble machine learning models using generative models

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No abstract available in PubMed .

Keywords:
Artificial intelligenceData augmentationData scarcityGenerative modelsMachine learningSynthetic data

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