Combining Machine Learning With Real-World Data to Identify Gaps in Clinical Practice Guidelines: Feasibility Study Using the Prospective German Stroke Registry and the National Acute Ischemic Stroke Guidelines
Combining Machine Learning With Real-World Data to Identify Gaps in Clinical Practice Guidelines: Feasibility Study Using the Prospective German Stroke Registry and the National Acute Ischemic Stroke Guidelines
Sandrine Müller
1
, MSc ;
Susanne Diekmann
1
, Dr med ;
Markus Wenzel
1, 2
, Prof Dr-Ing ;
Horst Karl Hahn
1, 3
, Prof Dr-Ing ;
Johannes Tuennerhoff
4, 5
, Dr med ;
Ulrike Ernemann
6
, Prof Dr Med ;
Florian Hennersdorf
6
, Dr med ;
German Stroke Registry Investigators
;
Max Westphal
1
, Dr rer nat ;
Sven Poli
4, 5
, Prof Dr Med
1
Fraunhofer Institute for Digital Medicine, Bremen, Germany
2
Constructor University, Bremen, Germany
3
Department of Mathematics and Computer Science, University of Bremen, Bremen, Germany
4
Department of Neurology & Stroke, University of Tübingen, Tübingen, Germany
5
Hertie Institute for Clinical Brain Research, Tübingen, Germany
6
Department of Diagnostic and Interventional Neuroradiology, University of Tübingen, Tübingen, Germany