Machine learning for outcome prediction of acute ischemic stroke post intra-arterial therapy
Abstract
We showed promising accuracy of outcome prediction, using supervised machine learning algorithms, with potential for incorporation of larger multicenter datasets, likely further improving prediction. Finally, we propose that a robust machine learning system can potentially optimise the selection pro …
Keywords
support vector machine
neural networks
Computer
National Center for Biotechnology Information
NCBI
NLM
MEDLINE
humans
pubmed abstract
nih
national institutes of health
national library of medicine
models
treatment outcome
adult
female
male
aged
theoretical
roc curve
artificial intelligence*
pmid:24520356
pmc3919736
doi:10.1371/journal.pone.0088225
hamed asadi
richard dowling
peter mitchell
brain ischemia / etiology*
brain ischemia / therapy*
endovascular procedures / adverse effects*
intracranial hemorrhages / pathology
stroke / etiology*
stroke / therapy*
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115344
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