Hybrid outcome prediction model for severe traumatic brain injury

Journal of Neurotrauma

Volumn 24, Issue 1, 2007, Pages 136-146

  Boon, Chuan Pang ^a   Kuralmani, Vellaisamy ^b   Joshi, Rohit ^c   Hongli, Yin ^c   Kah, Keow Lee ^a   Beng, Ti Ang ^a   Li, Jinyan ^b   Tze, Yun Leong ^c   Ng, Ivan ^a,d  

^a National Neuroscience Institute   (Singapore)

^b Ministry of Manpower Government of Singapore   (Singapore)

^c NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^d NATIONAL NEUROSCIENCE INSTITUTE   (Singapore)

Author keywords

Adult brain injury; Assessment tools; Bayesian network; Decision tree; Discriminant analysis; Human studies; Logistic regression; Neural network; Outcome measures; Traumatic brain injuries

Indexed keywords

ACCURACY; ADULT; ANALYTIC METHOD; ARTICLE; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; DECISION TREE; DISCRIMINANT ANALYSIS; FEMALE; HEAD INJURY; HOSPITAL ADMISSION; HUMAN; HYBRID; INJURY SEVERITY; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; NERVE CELL NETWORK; OUTCOME ASSESSMENT; PROGNOSIS; PROSPECTIVE STUDY; SINGAPORE; TRAUMATIC BRAIN INJURY; VALIDATION PROCESS;

ADULT; AGE FACTORS; AGED; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; BLOOD PRESSURE; BRAIN HEMORRHAGE, TRAUMATIC; CEREBROVASCULAR CIRCULATION; DECISION TREES; FEMALE; GLASGOW OUTCOME SCALE; HUMANS; LOGISTIC MODELS; MALE; MIDDLE AGED; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); PREDICTIVE VALUE OF TESTS; REPRODUCIBILITY OF RESULTS; TREATMENT OUTCOME;

EID: 33846819034     PISSN: 08977151     EISSN: None     Source Type: Journal    
DOI: 10.1089/neu.2006.0113     Document Type: Article

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