Evolutionary algorithms and decision trees for predicting poor outcome after endovascular treatment for acute ischemic stroke-Reference-Cited by-同舟云学术

Evolutionary algorithms and decision trees for predicting poor outcome after endovascular treatment for acute ischemic stroke

Published:2021-06 Issue: Volume:133 Page:104414
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Kappelhof N.,Ramos L.A.,Kappelhof M.,van Os H.J.A.,Chalos V.,van Kranendonk K.R.,Kruyt N.D.,Roos Y.B.W.E.M.,van Zwam W.H.,van der Schaaf I.C.,van Walderveen M.A.A.,Wermer M.J.H.,van Oostenbrugge R.J.,Lingsma Hester,Dippel Diederik^ORCID,Majoie C.B.L.M.,Marquering H.A.

Funder

ITEA 3

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference43 articles.

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3. Endovascular treatment for acute ischaemic stroke in routine clinical practice: prospective, observational cohort study (MR CLEAN Registry);Jansen;BMJ,2018

4. Which patients with acute stroke due to proximal occlusion should not be treated with endovascular thrombectomy?;Goyal;Neuroradiology,2019

5. Selection of patients for intra-arterial treatment for acute ischaemic stroke: development and validation of a clinical decision tool in two randomised trials;Venema;BMJ,2017

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