Machine learning models for outcome prediction in thrombectomy for large anterior vessel occlusion
Omid Shirvani,
Stefanie Warnat‐Herresthal,
Ivan Savchuk
et al.
Abstract:ObjectivePredicting long‐term functional outcomes shortly after a stroke is challenging, even for experienced neurologists. Therefore, we aimed to evaluate multiple machine learning models and the importance of clinical/radiological parameters to develop a model that balances minimal input data with reliable predictions of long‐term functional independency.MethodsOur study utilized data from the German Stroke Registry on patients with large anterior vessel occlusion who underwent endovascular treatment. We tra… Show more
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