The Impact of Multi-Institution Datasets on the Generalizability of Machine Learning Prediction Models in the ICU
Patrick Rockenschaub(Innsbruck Medical University), Dietmar Frey(Charité - Universitätsmedizin Berlin), Tabea Kossen(Charité - Universitätsmedizin Berlin), Vince I. Madai(Berlin Institute of Health at Charité - Universitätsmedizin Berlin), Adam Hilbert(Charité - Universitätsmedizin Berlin), Paul Elbers(Vrije Universiteit Amsterdam), Falk von Dincklage(Universitätsmedizin Greifswald)
Cited by 60
Related Papers
Explainability for artificial intelligence in healthcare: a multidisciplinary perspective
|BMC Medical Informatics and Decision Making|2020|1.8k
A U-Net Deep Learning Framework for High Performance Vessel Segmentation in Patients With Cerebrovascular Disease
|Frontiers in Neuroscience|2019|264
Glutamatergic axons from the lateral habenula mainly terminate on GABAergic neurons of the ventral midbrain
|Neuroscience|2010|247
To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems
|PLOS Digital Health|2022|205