Document Type
Article
Disciplines
1.2 COMPUTER AND INFORMATION SCIENCE, Computer Sciences
Abstract
Outcome prediction after mechanical thrombectomy (MT) in patients with acute ischemic stroke (AIS) and large vessel occlusion (LVO) is commonly performed by focusing on favorable outcome (modified Rankin Scale, mRS 0–2) after 3 months but poor outcome representing severe disability and mortality (mRS 5 and 6) might be of equal importance for clinical decision-making.
DOI
https://doi.org/10.3389/fneur.2022.737667
Recommended Citation
Mutke, Matthias A.; Madai, Vince I.; Hilbert, Adam; Zihni, Esra; Potreck, Arne; Weyland, Charlotte S.; Mohlenbruch, Markus A.; Heiland, Sabine; Ringleb, Peter A.; Nagel, Simon; Beendszus, Martin; and Frey, Dietmar, "Comparing Poor and Favorable Outcome Prediction With Machine Learning After Mechanical Thrombectomy in Acute Ischemic Stroke" (2023). Articles. 189.
https://arrow.tudublin.ie/scschcomart/189
Funder
ai4medicine; European Commission Horizon2020 PRECISE4Q No. 777107.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Share Alike 4.0 International License.
Publication Details
https://pubmed.ncbi.nlm.nih.gov/35693017/
https://doi.org/10.3389/fneur.2022.737667