A comparison of learning algorithms for Bayesian networks: A case study based on data from an emergency medical service

Artificial Intelligence in Medicine

Volumn 30, Issue 3, 2004, Pages 215-232

  Acid, Silvia ^a   De Campos, Luis M ^a   Fernández Luna, Juan M ^b   Rodríguez, Susana ^c   María Rodríguez, José ^c   Luis Salcedo, José ^c  

^a UNIVERSITY OF GRANADA   (Spain)

^b UNIVERSITY OF JAÉN   (Spain)

^c HOSPITAL UNIVERSITARIO VIRGEN DE LAS NIEVES   (Spain)

Author keywords

Bayesian networks; Emergency medical service; Independence; Learning algorithm; Management decision support in the health service; Scoring functions

Indexed keywords

HOSPITALS; LEARNING ALGORITHMS; MATHEMATICAL MODELS;

BAYESIAN NETWORKS; EMERGENCY MEDICAL SERVICE;

ARTIFICIAL INTELLIGENCE;

ALGORITHM; ARTICLE; BAYES THEOREM; CASE STUDY; EMERGENCY HEALTH SERVICE; EXPERIMENTAL DESIGN; HEALTH SERVICE; HOSPITAL; HUMAN; INFORMATION PROCESSING; INTERMETHOD COMPARISON; LEARNING; MANAGER; PRIORITY JOURNAL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; DECISION SUPPORT SYSTEMS, MANAGEMENT; ECONOMICS, HOSPITAL; EMERGENCY SERVICE, HOSPITAL; HOSPITAL ADMINISTRATION; HOSPITAL DEPARTMENTS; HUMANS; LENGTH OF STAY; NEURAL NETWORKS (COMPUTER); PATIENT ADMISSION; SPAIN;

EID: 1842815776     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.artmed.2003.11.002     Document Type: Article

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