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Found 3 papers, 3 papers with code
survex: an R package for explaining machine learning survival models
Due to their flexibility and superior performance, machine learning models frequently complement and outperform traditional statistical survival models.
SurvSHAP(t): Time-dependent explanations of machine learning survival models
Experiments on synthetic and medical data confirm that SurvSHAP(t) can detect variables with a time-dependent effect, and its aggregation is a better determinant of the importance of variables for a prediction than SurvLIME.
Interpretable Machine Learning for Survival Analysis
With the spread and rapid advancement of black box machine learning models, the field of interpretable machine learning (IML) or explainable artificial intelligence (XAI) has become increasingly important over the last decade.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
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