Artificial neural network in predicting craniocervical junction injury: An alternative approach to trauma patients

European Journal of Emergency Medicine

Volumn 15, Issue 6, 2008, Pages 318-323

  Bekta̧s, Firat ^a   Eken, Cenker ^a   Soyuncu, Secgin ^a   Kilicaslan, Isa ^a   Cete, Yildiray ^a  

^a AKDENIZ UNIVERSITY   (Turkey)

Author keywords

Artificial neural network; Craniocervical junction injury; Trauma

Indexed keywords

ADULT; AREA UNDER THE CURVE; ARTICLE; ARTIFICIAL NEURAL NETWORK; CERVICAL SPINE INJURY; CERVICAL SPINE RADIOGRAPHY; CLINICAL TRIAL; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; CRANIOCERVICAL JUNCTION INJURY; EMERGENCY WARD; FEMALE; HEAD INJURY; HUMAN; MAJOR CLINICAL STUDY; MALE; POSITIVE FEEDBACK; PRIORITY JOURNAL; RANDOMIZED CONTROLLED TRIAL; SENSITIVITY AND SPECIFICITY; AGED; GLASGOW COMA SCALE; MIDDLE AGED; NERVOUS SYSTEM INJURY; PREDICTION AND FORECASTING; PROSPECTIVE STUDY; RADIOGRAPHY; RISK ASSESSMENT; STATISTICAL MODEL;

ADULT; AGED; AREA UNDER CURVE; FEMALE; GLASGOW COMA SCALE; HUMANS; LOGISTIC MODELS; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); PREDICTIVE VALUE OF TESTS; PROSPECTIVE STUDIES; RISK ASSESSMENT; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED; TRAUMA, NERVOUS SYSTEM;

EID: 64849097784     PISSN: 09699546     EISSN: None     Source Type: Journal    
DOI: 10.1097/MEJ.0b013e3282fce7af     Document Type: Article

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