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1 Ergebnisse
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An interpretable machine learning model for stroke recurren..:
Yu Gao
;
Zi-ang Li
;
Xiao-yang Zhai
...
https://www.frontiersin.org/articles/10.3389/fnins.2023.1323270/full. , 2024
Link:
https://doi.org/10.3389/fnins.2023.1323270
RT Journal T1 <Title>An interpretable machine learning model for stroke recurrence in patients with symptomatic intracranial atherosclerotic arterial stenosis</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:57f292f592a5462fa30f30ade519d2e2&Exemplar=1&LAN=DE A1 Yu Gao A1 Zi-ang Li A1 Xiao-yang Zhai A1 Lin Han A1 Ping Zhang A1 Si-jia Cheng A1 Jun-yan Yue A1 Hong-kai Cui PB Frontiers Media S.A. YR 2024 K1 stroke recurrence K1 HR-VWI K1 machine learning K1 SICAS K1 plaque K1 Neurosciences. Biological psychiatry. Neuropsychiatry K1 RC321-571 JF https://www.frontiersin.org/articles/10.3389/fnins.2023.1323270/full LK http://dx.doi.org/https://doi.org/10.3389/fnins.2023.1323270 DO https://doi.org/10.3389/fnins.2023.1323270 SF ELIB - SuUB Bremen
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