Stroke prediction in a sample of HIV/AIDS patients: Logistic regression, Bayesian networks or a combination of both?

MODSIM 2011 - 19th International Congress on Modelling and Simulation - Sustaining Our Future: Understanding and Living with Uncertainty

Volumn , Issue , 2011, Pages 1030-1036

  Gutierrez, J ^a   Yoo, C ^b  

^a Columbia University ^*  (United States)

^b FLORIDA INTERNATIONAL UNIVERSITY   (United States)

Author keywords

Bayesian networks; Discriminant models; Hiv; Logistic regression; Stroke

Indexed keywords

AREA UNDER THE CURVES; CARDIO-VASCULAR DISEASE; CARDIO-VASCULAR RISK FACTORS; DISCRIMINANT FUNCTIONS; DISCRIMINANT MODELS; GOODNESS OF FIT; HIV; HIV/AIDS; LOGISTIC REGRESSION; LOGISTIC REGRESSIONS; MEAN AGES; MEDICAL INSURANCE; MULTIVARIATE LOGISTIC REGRESSIONS; NEGATIVE PREDICTIVE VALUE; PREDICTIVE MODELS; PROBABILISTIC MODELS; STATISTICAL MODELS; STROKE;

BAYESIAN NETWORKS; DIAGNOSIS; LOGISTICS; REGRESSION ANALYSIS;

DISEASES;

EID: 84858809568     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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