activity
20192022
most citedA novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort study

32 citations · 37 across the 3 of their papers we have counts for

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Showing 2021Show all

1 paper · 1 filter

cs.LG2021★ 2 cited

Shapley variable importance clouds for interpretable machine learning

Yilin Ning, Marcus Eng Hock Ong, Bibhas Chakraborty +4

Interpretable machine learning has been focusing on explaining final models that optimize performance. The current state-of-the-art is the Shapley additive explanations (SHAP) that…