Machine learning for outcome prediction of acute ischemic stroke post intra-arterial therapy

PLoS ONE

Volumn 9, Issue 2, 2014, Pages

  Asadi, Hamed ^a   Dowling, Richard ^a   Yan, Bernard ^a   Mitchell, Peter ^a  

^a UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAIN ISCHEMIA; CLINICAL TRIAL (TOPIC); DATA ANALYSIS SOFTWARE; ENDOVASCULAR SURGERY; FEMALE; HUMAN; INTERMETHOD COMPARISON; LEARNING ALGORITHM; MACHINE LEARNING; MAJOR CLINICAL STUDY; MALE; OUTCOME ASSESSMENT; PREDICTION; PREDICTIVE VALUE; PROCESS MODEL; PROCESS OPTIMIZATION; PROGNOSIS; PROGNOSTIC MODEL; RECEIVER OPERATING CHARACTERISTIC; RETROSPECTIVE STUDY; SUPPORT VECTOR MACHINE;

ADULT; AGED; ARTIFICIAL INTELLIGENCE; BRAIN ISCHEMIA; ENDOVASCULAR PROCEDURES; FEMALE; HUMANS; INTRACRANIAL HEMORRHAGES; MALE; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); ROC CURVE; STROKE; SUPPORT VECTOR MACHINES; TREATMENT OUTCOME;

EID: 84895809445     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0088225     Document Type: Article

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