Predicting 10-day mortality in patients with strokes using neural networks and multivariate statistical methods

Journal of Stroke and Cerebrovascular Diseases

Volumn 23, Issue 6, 2014, Pages 1506-1512

  Çelik, Güner ^a   Baykan, Ömer K ^b   Kara, Yakup ^b   Tireli, Hülya ^c  

^a BASKENT UNIVERSITY   (Turkey)

^b SELCUK UNIVERSITY   (Turkey)

^c GATA HAYDARPASA TRAINING HOSPITAL   (Turkey)

Author keywords

hemorrhagic stroke; ischemic stroke; models; Predicting outcome; statistical

Indexed keywords

ACCURACY; ADULT; ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAIN HEMORRHAGE; BRAIN ISCHEMIA; DEATH; DISCRIMINANT ANALYSIS; FEMALE; HUMAN; INTERMETHOD COMPARISON; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; MORTALITY; PERCEPTRON; PERFORMANCE; PREDICTION; PRIORITY JOURNAL; PROGNOSIS; SURVIVAL; AGED; CEREBROVASCULAR ACCIDENT; MIDDLE AGED; MULTIVARIATE ANALYSIS; PREDICTIVE VALUE; SURVIVAL RATE; VERY ELDERLY;

ADULT; AGED; AGED, 80 AND OVER; BRAIN ISCHEMIA; FEMALE; HUMANS; INTRACRANIAL HEMORRHAGES; MALE; MIDDLE AGED; MULTIVARIATE ANALYSIS; NEURAL NETWORKS (COMPUTER); PREDICTIVE VALUE OF TESTS; PROGNOSIS; STROKE; SURVIVAL RATE;

EID: 84902475847     PISSN: 10523057     EISSN: 15328511     Source Type: Journal    
DOI: 10.1016/j.jstrokecerebrovasdis.2013.12.018     Document Type: Article

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