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1 Ergebnisse
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Machine Learning-Based Prediction of Brain Tissue Infarctio..:
Boris Modrau
;
Anthony Winder
;
Niels Hjort
...
https://www.frontiersin.org/articles/10.3389/fneur.2021.613029/full. , 2021
Link:
https://doi.org/10.3389/fneur.2021.613029
RT Journal T1 <Title>Machine Learning-Based Prediction of Brain Tissue Infarction in Patients With Acute Ischemic Stroke Treated With Theophylline as an Add-On to Thrombolytic Therapy: A Randomized Clinical Trial Subgroup Analysis</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:63c6ffc80a3b4e8da1be971e83d7b4b7&Exemplar=1&LAN=DE A1 Boris Modrau A1 Anthony Winder A1 Niels Hjort A1 Martin Nygård Johansen A1 Grethe Andersen A1 Jens Fiehler A1 Henrik Vorum A1 Nils D. Forkert PB Frontiers Media S.A. YR 2021 K1 stroke K1 thrombolytic therapy K1 clinical trial K1 theophylline K1 reperfusion K1 machine learning K1 Neurology. Diseases of the nervous system K1 RC346-429 JF https://www.frontiersin.org/articles/10.3389/fneur.2021.613029/full LK http://dx.doi.org/https://doi.org/10.3389/fneur.2021.613029 DO https://doi.org/10.3389/fneur.2021.613029 SF ELIB - SuUB Bremen
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