Machine learning models for outcome prediction in thrombectomy for large anterior vessel occlusion
Machine learning models for outcome prediction in thrombectomy for large anterior vessel occlusion
About this item
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Author / Creator
Shirvani, Omid , Warnat‐Herresthal, Stefanie , Savchuk, Ivan , Bode, Felix J. , Nitsch, Louisa , Stösser, Sebastian , Ebrahimi, Taraneh , Danwitz, Niklas , Asperger, Hannah , Layer, Julia , Meissner, Julius , Thielscher, Christian , Dorn, Franziska , Lehnen, Nils , Schultze, Joachim L. , Petzold, Gabor C. , Weller, Johannes M. , Alegiani, Anna , Berrouschot, Jörg , Boeck‐Behrens, Tobias , Bohner, Georg , Borggrefe, Jan , Bormann, Albrecht , Braun, Michael , Dorn, Franziska , Eckert, Bernd , Ernemann, Ulrike , Ernst, Marielle , Fiehler, Jens , Gröschel, Klaus , Hattingen, Jörg , Hamann, Gerhard , Heitkamp, Christian , Henn, Karl‐Heinz , Keil, Fee , Kellert, Lars , Leischner, Hannes , Ludolph, Alexander , Maier, Ilko , Nikoubashman, Omid , Nolte, Christian , Petersen, Martina , Poli, Sven , Petzold, Gabor C. , Reich, Arno , Röther, Joachim , Riedel, Christian , Schäfer, Jan Hendrik , Schell, Maximilian , Schellinger, Peter , Siebert, Eberhard , Stögbauer, Florian , Thomalla, Götz , Tiedt, Steffen , Trumm, Christoph , Uphaus, Timo , Wunderlich, Silke , the GSR‐ET Investigators and GSR‐ET Investigators
Publisher
United States: John Wiley & Sons, Inc
Journal title
Language
English
Formats
Publication information
Publisher
United States: John Wiley & Sons, Inc
Subjects
More information
Scope and Contents
Contents
Objective
Predicting long‐term functional outcomes shortly after a stroke is challenging, even for experienced neurologists. Therefore, we aimed to evaluate multiple machine learning models and the importance of clinical/radiological parameters to develop a model that balances minimal input data with reliable predictions of long‐term functional...
Alternative Titles
Full title
Machine learning models for outcome prediction in thrombectomy for large anterior vessel occlusion
Authors, Artists and Contributors
Author / Creator
Warnat‐Herresthal, Stefanie
Savchuk, Ivan
Bode, Felix J.
Nitsch, Louisa
Stösser, Sebastian
Ebrahimi, Taraneh
Danwitz, Niklas
Asperger, Hannah
Layer, Julia
Meissner, Julius
Thielscher, Christian
Dorn, Franziska
Lehnen, Nils
Schultze, Joachim L.
Petzold, Gabor C.
Weller, Johannes M.
Alegiani, Anna
Berrouschot, Jörg
Boeck‐Behrens, Tobias
Bohner, Georg
Borggrefe, Jan
Bormann, Albrecht
Braun, Michael
Dorn, Franziska
Eckert, Bernd
Ernemann, Ulrike
Ernst, Marielle
Fiehler, Jens
Gröschel, Klaus
Hattingen, Jörg
Hamann, Gerhard
Heitkamp, Christian
Henn, Karl‐Heinz
Keil, Fee
Kellert, Lars
Leischner, Hannes
Ludolph, Alexander
Maier, Ilko
Nikoubashman, Omid
Nolte, Christian
Petersen, Martina
Poli, Sven
Petzold, Gabor C.
Reich, Arno
Röther, Joachim
Riedel, Christian
Schäfer, Jan Hendrik
Schell, Maximilian
Schellinger, Peter
Siebert, Eberhard
Stögbauer, Florian
Thomalla, Götz
Tiedt, Steffen
Trumm, Christoph
Uphaus, Timo
Wunderlich, Silke
the GSR‐ET Investigators
GSR‐ET Investigators
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_2a8db70bfeaa4e69a593a79d4b971fee
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2a8db70bfeaa4e69a593a79d4b971fee
Other Identifiers
ISSN
2328-9503
E-ISSN
2328-9503
DOI
10.1002/acn3.52185
