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Machine Learning–Based Prediction of Length of Stay in Acute Ischemic Stroke of the Anterior Circulation in Patients with Large Vessel Occlusion Treated with Thrombectomy.

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Title: Machine Learning–Based Prediction of Length of Stay in Acute Ischemic Stroke of the Anterior Circulation in Patients with Large Vessel Occlusion Treated with Thrombectomy.
Authors: Feyen, Ludger1,2,3 (AUTHOR) Ludger.feyen@helios-gesundheit.de, Pinz-Bogesits, Jan1 (AUTHOR), Blockhaus, Christian2,4 (AUTHOR), Katoh, Marcus1 (AUTHOR), Haage, Patrick2,3 (AUTHOR), Freyhardt, Patrick1,2 (AUTHOR), Schaub, Christina5 (AUTHOR)
Source: Neurology India. 2026 Suppl 1, Vol. 74, pS81-S86. 6p.
Database: Academic Search Ultimate
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  Data: Machine Learning–Based Prediction of Length of Stay in Acute Ischemic Stroke of the Anterior Circulation in Patients with Large Vessel Occlusion Treated with Thrombectomy.
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  Data: <searchLink fieldCode="JN" term="%22Neurology+India%22">Neurology India</searchLink>. 2026 Suppl 1, Vol. 74, pS81-S86. 6p.
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        Value: 10.4103/ni.ni_133_22
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      – Code: eng
        Text: English
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        PageCount: 6
        StartPage: S81
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      – TitleFull: Machine Learning–Based Prediction of Length of Stay in Acute Ischemic Stroke of the Anterior Circulation in Patients with Large Vessel Occlusion Treated with Thrombectomy.
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            NameFull: Pinz-Bogesits, Jan
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            – D: 02
              M: 01
              Text: 2026 Suppl 1
              Type: published
              Y: 2026
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