60 citations · 66 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 1 cited
Analysis and Evaluation of Explainable Artificial Intelligence on Suicide Risk Assessment
Hao Tang, Aref Miri Rekavandi, Dharjinder Rooprai +4
This study investigates the effectiveness of Explainable Artificial Intelligence (XAI) techniques in predicting suicide risks and identifying the dominant causes for such behaviour…
q-bio.QM2022★ 5 cited
Performance of multilabel machine learning models and risk stratification schemas for predicting stroke and bleeding risk in patients with non-valvular atrial fibrillation
Juan Lu, Rebecca Hutchens, Joseph Hung +9
Appropriate antithrombotic therapy for patients with atrial fibrillation (AF) requires assessment of ischemic stroke and bleeding risks. However, risk stratification schemas such a…
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…