Machine learning based prediction of length of stay in acute ischaemic stroke of the anterior circulation in patients treated with thrombectomy
CONCLUSION: Machine learning has potential use to estimate the length of stay of patients with acute ischaemic stroke that were treated with thrombectomy.PMID:37671446 | DOI:10.1177/15910199231197615
Source: Interventional Neuroradiology - Category: Radiology Authors: Ludger Feyen Jan Pinz-Bogesits Christian Blockhaus Marcus Katoh Patrick Haage Louisa Nitsch Christina Schaub Source Type: research
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