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Found 3 papers, 2 papers with code
Explainable AI for survival analysis: a median-SHAP approach
With the adoption of machine learning into routine clinical practice comes the need for Explainable AI methods tailored to medical applications.
PWSHAP: A Path-Wise Explanation Model for Targeted Variables
We introduce Path-Wise Shapley effects (PWSHAP), a framework for assessing the targeted effect of a binary (e. g.~treatment) variable from a complex outcome model.
On Locality of Local Explanation Models
Empirically, we observe that Neighbourhood Shapley values identify meaningful sparse feature relevance attributions that provide insight into local model behaviour, complimenting conventional Shapley analysis.
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