Comparison of artificial neural network and logistic regression models for prediction of mortality in head trauma based on initial clinical data

BMC Medical Informatics and Decision Making

Volumn 5, Issue , 2005, Pages

  Eftekhar, Behzad ^a   Mohammad, Kazem ^a   Ardebili, Hassan Eftekhar ^a   Ghodsi, Mohammad ^a   Ketabchi, Ebrahim ^a  

^a UNIVERSITY OF TEHRAN   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ADULT; ARTICLE; ARTIFICIAL NEURAL NETWORK; BREATHING RATE; CALCULATION; CALIBRATION; CLINICAL STUDY; COMPARATIVE STUDY; CONTROLLED STUDY; DISEASE SEVERITY; ENDOTRACHEAL INTUBATION; FEMALE; HEAD INJURY; HUMAN; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; MORTALITY; OUTCOMES RESEARCH; PREDICTION; PULSE RATE; RECEIVER OPERATING CHARACTERISTIC; SCORING SYSTEM; STATISTICAL SIGNIFICANCE; SYSTOLIC BLOOD PRESSURE; ADOLESCENT; CHILD; COMPUTER ASSISTED DIAGNOSIS; CRANIOCEREBRAL TRAUMA; EPIDEMIOLOGY; INFORMATION PROCESSING; INJURY SCALE; IRAN; MIDDLE AGED; OUTCOME ASSESSMENT; PROGNOSIS; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; SURVIVAL; UNIVERSITY HOSPITAL; VALIDATION STUDY;

ADOLESCENT; ADULT; CHILD; CRANIOCEREBRAL TRAUMA; DATA COLLECTION; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; HOSPITAL MORTALITY; HOSPITALS, UNIVERSITY; HUMANS; IRAN; LOGISTIC MODELS; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); OUTCOME ASSESSMENT (HEALTH CARE); PROGNOSIS; SURVIVAL ANALYSIS; TRAUMA SEVERITY INDICES;

EID: 15244347342     PISSN: 14726947     EISSN: 14726947     Source Type: Journal    
DOI: 10.1186/1472-6947-5-3     Document Type: Article

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