most citedExplainable Artificial Intelligence for Pharmacovigilance: What Features Are Important When Predicting Adverse Outcomes?

60 citations · 60 across the 1 of their papers we have counts for

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q-bio.QM2021★ 60 cited

Explainable Artificial Intelligence for Pharmacovigilance: What Features Are Important When Predicting Adverse Outcomes?

Isaac Ronald Ward, Ling Wang, Juan lu +3

Explainable Artificial Intelligence (XAI) has been identified as a viable method for determining the importance of features when making predictions using Machine Learning (ML) mode…