Detecting asthma exacerbations in a pediatric emergency department using a Bayesian network.

AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

Volumn , Issue , 2006, Pages 684-688

  Sanders, David L ^a   Aronsky, Dominik ^a  

^a VANDERBILT UNIVERSITY MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; ASTHMA; BAYES THEOREM; CHILD; EMERGENCY HEALTH SERVICE; EVALUATION; FEASIBILITY STUDY; HUMAN; PRACTICE GUIDELINE; PREDICTION AND FORECASTING; ROC CURVE; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL;

ASTHMA; BAYES THEOREM; CHILD; EMERGENCY SERVICE, HOSPITAL; FEASIBILITY STUDIES; HUMANS; LIKELIHOOD FUNCTIONS; NEURAL NETWORKS (COMPUTER); PRACTICE GUIDELINES; PREDICTIVE VALUE OF TESTS; ROC CURVE; SENSITIVITY AND SPECIFICITY;

EID: 34748831018     PISSN: None     EISSN: 15594076     Source Type: Journal    
DOI: None     Document Type: Article

References (0)