Automatic identification of patients eligible for a pneumonia guideline: Comparing the diagnostic accuracy of two decision support models

Studies in Health Technology and Informatics

Volumn 84, Issue , 2001, Pages 493-497

  Lagor, Charles ^a   Fiszman, Marcelo ^a   Haug, Peter J ^a  

^a LDS HOSPITAL   (United States)

Author keywords

Artificial Intelligence; Bayes Theorem; Computer Assisted; Decision Support Techniques; Diagnosis; Expert Systems; Models; Neural Networks (Computer); Statistical

Indexed keywords

ARTIFICIAL INTELLIGENCE; AUTOMATION; BAYESIAN NETWORKS; COMPUTER AIDED DIAGNOSIS; DIAGNOSIS; DIGITAL STORAGE; EXPERT SYSTEMS; MODELS; NEURAL NETWORKS; STATISTICAL TESTS;

BAYES THEOREM; COMMUNITY ACQUIRED PNEUMONIAS; COMPUTER ASSISTED; DECISION SUPPORT TECHNIQUES; NEGATIVE PREDICTIVE VALUE; POSITIVE PREDICTIVE VALUES; RECEIVER OPERATING CHARACTERISTIC CURVES; STATISTICAL;

DECISION SUPPORT SYSTEMS;

EID: 84155173333     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-60750-928-8-493     Document Type: Conference Paper

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