In-hospital mortality after traumatic brain injury surgery: A nationwide population-based comparison of mortality predictors used in artificial neural network and logistic regression models

Journal of Neurosurgery

Volumn 118, Issue 4, 2013, Pages 746-752

  Shi, Hon Yi ^a   Hwang, Shiuh Lin ^b,c   Lee, King Teh ^a   Lin, Chih Lung ^b,c  

^a KAOHSIUNG MEDICAL UNIVERSITY   (Taiwan)

^b KAOHSIUNG MEDICAL UNIVERSITY HOSPITAL   (Taiwan)

^c KAOHSIUNG MEDICAL UNIVERSITY   (Taiwan)

Author keywords

Artificial neural network; In hospital mortality; Logistic regression; Traumatic brain injury

Indexed keywords

ACCURACY; ADULT; AGE DISTRIBUTION; AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; CHARLSON COMORBIDITY INDEX; FEMALE; HEALTH CARE MANPOWER; HOSPITAL; HUMAN; INTERMETHOD COMPARISON; LENGTH OF STAY; LOGISTIC REGRESSION MODEL; MAJOR CLINICAL STUDY; MALE; MATHEMATICAL MODEL; MORTALITY; NEUROSURGEON; PREDICTIVE VALUE; PRIORITY JOURNAL; RETROSPECTIVE STUDY; SENSITIVITY ANALYSIS; SEX DIFFERENCE; TAIWAN; TRAUMATIC BRAIN INJURY; VALIDATION STUDY;

ADULT; AGED; AREA UNDER CURVE; BRAIN INJURIES; FEMALE; HOSPITAL MORTALITY; HUMANS; LOGISTIC MODELS; MALE; MIDDLE AGED; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); NEUROSURGICAL PROCEDURES; REPRODUCIBILITY OF RESULTS; RETROSPECTIVE STUDIES; TAIWAN; TREATMENT OUTCOME;

EID: 84875869919     PISSN: 00223085     EISSN: 19330693     Source Type: Journal    
DOI: 10.3171/2013.1.JNS121130     Document Type: Article

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