Using a Bayesian-network model for the analysis of clinical time-series data

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3581 LNAI, Issue , 2005, Pages 48-52

  Visscher, Stefan ^a   Lucas, Peter ^b   Schurink, Karin ^a   Bonten, Marc ^a  

^a UNIVERSITY MEDICAL CENTER UTRECHT   (Netherlands)

^b RADBOUD UNIVERSITY NIJMEGEN   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

DISEASES; INFORMATION MANAGEMENT; INTENSIVE CARE UNITS; MEDICAL IMAGING; PATIENT MONITORING; TIME SERIES ANALYSIS;

ANTIMICROBIAL TREATMENT; CLINICAL MANAGEMENT; TEMPORAL DATABASE; VENTILATOR-ASSOCIATED PNEUMONIA (VAP);

NEURAL NETWORKS;

EID: 26944498240     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11527770_7     Document Type: Conference Paper

References (5)

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3. Peter J.F. Lucas, Nicolette C. de Bruijn, Karin Schurink, and Andy Hoepelman. A probabilistic and decision-theoretic approach to the management of infectious disease at the icu. Artificial Intelligence in Medicine, 19(3):251-279, 2000.
4. Peter J.F. Lucas, Linda C. van der Gaag, and Ameen Abu-Hanna. Bayesian networks in biomedicine and health-care. Artificial Intelligence in Medicine, 30(3):201-214, 2004.
5. Bonten MJM, Kollef MH, and Hall JB. Risk factors for ventilator- associated pneumonia: from epidemiology to patient management. Clinical Infectious Diseases, 38(8), 2004.