16 citations · 23 across the 4 of their papers we have counts for
5 papers
Predicting tacrolimus exposure in kidney transplanted patients using machine learning
Andrea M. Storås, Anders Åsberg, Pål Halvorsen +2
Tacrolimus is one of the cornerstone immunosuppressive drugs in most transplantation centers worldwide following solid organ transplantation. Therapeutic drug monitoring of tacroli…
Visual explanations for polyp detection: How medical doctors assess intrinsic versus extrinsic explanations
Steven Hicks, Andrea Storås, Michael Riegler +6
Deep learning has in recent years achieved immense success in all areas of computer vision and has the potential of assisting medical doctors in analyzing visual content for diseas…
Explainability for identification of vulnerable groups in machine learning models
Inga Strümke, Marija Slavkovik
If a prediction model identifies vulnerable individuals or groups, the use of that model may become an ethical issue. But can we know that this is what a model does? Machine learni…
The social dilemma in artificial intelligence development and why we have to solve it
Inga Strümke, Marija Slavkovik, Vince I. Madai
While the demand for ethical artificial intelligence (AI) systems increases, the number of unethical uses of AI accelerates, even though there is no shortage of ethical guidelines.…
Shapley value confidence intervals for attributing variance explained
Daniel Fryer, Inga Strumke, Hien Nguyen
The coefficient of determination, the , is often used to measure the variance explained by an affine combination of multiple explanatory covariates. An attribution of this exp…