Chronic subdural hematoma outcome prediction using logistic regression and an artificial neural network

Neurosurgical Review

Volumn 32, Issue 4, 2009, Pages 479-484

  Abouzari, Mehdi ^a   Rashidi, Armin ^a,b   Zandi Toghani, Mehdi ^c   Behzadi, Mehrdad ^a   Asadollahi, Marjan ^d  

^a TEHRAN UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^b UNIVERSITY OF TEHRAN   (Iran)

^c SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

^d SHAHID BEHESHTI UNIVERSITY OF MEDICAL SCIENCES   (Iran)

Author keywords

Chronic subdural hematoma; Neural network; Outcome prediction; Regression

Indexed keywords

ADULT; AGE; AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAIN ATROPHY; FEMALE; GENDER; GLASGOW OUTCOME SCALE; HUMAN; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; PREDICTION; PRIORITY JOURNAL; RECURRENT DISEASE; SENSITIVITY AND SPECIFICITY; SUBDURAL HEMATOMA;

ADULT; AGED; AREA UNDER CURVE; FEMALE; FOLLOW-UP STUDIES; GLASGOW COMA SCALE; GLASGOW OUTCOME SCALE; HEMATOMA, SUBDURAL, CHRONIC; HUMANS; LOGISTIC MODELS; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); PREDICTIVE VALUE OF TESTS; RECURRENCE; ROC CURVE; TOMOGRAPHY, X-RAY COMPUTED; TREATMENT OUTCOME;

EID: 69949131239     PISSN: 03445607     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10143-009-0215-3     Document Type: Article

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