27 citations · 61 across the 10 of their papers we have counts for
3 papers · 1 filter
Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes
Shruthi Chari, Prasant Acharya, Daniel M. Gruen +8
Medical experts may use Artificial Intelligence (AI) systems with greater trust if these are supported by contextual explanations that let the practitioner connect system inference…
Leveraging Clinical Context for User-Centered Explainability: A Diabetes Use Case
Shruthi Chari, Prithwish Chakraborty, Mohamed Ghalwash +7
Academic advances of AI models in high-precision domains, like healthcare, need to be made explainable in order to enhance real-world adoption. Our past studies and ongoing interac…
Semantically-aware population health risk analyses
Alexander New, Sabbir M. Rashid, John S. Erickson +2
One primary task of population health analysis is the identification of risk factors that, for some subpopulation, have a significant association with some health condition. Exampl…