Decision support of inspired oxygen selection based on Bayesian learning of pulmonary gas exchange parameters

Artificial Intelligence in Medicine

Volumn 34, Issue 1, 2005, Pages 53-63

  Murley, David ^a   Rees, Stephen ^a   Rasmussen, Bodil ^b   Andreassen, Steen ^a  

^a AALBORG UNIVERSITY   (Denmark)

^b AALBORG UNIVERSITY HOSPITAL   (Denmark)

Author keywords

Bayesian learning; Decision support; Oxygen saturation; Physiological modelling; Pulmonary gas exchange

Indexed keywords

CARDIOLOGY; LEARNING SYSTEMS; OXYGEN; PARAMETER ESTIMATION; PATIENT MONITORING; PHYSIOLOGICAL MODELS; PULMONARY DISEASES; REAL TIME SYSTEMS; TITRATION;

BAYESIAN LEARNING; CARDIAC PATIENTS; OXYGEN SELECTION; OXYGEN TITRATION; PULMONARY GAS EXCHANGE;

DECISION SUPPORT SYSTEMS;

ACCURACY; ARTERIAL OXYGEN SATURATION; BAYES THEOREM; CONFERENCE PAPER; LEARNING; LUNG GAS EXCHANGE; MEDICAL DECISION MAKING; PHYSIOLOGY; PREDICTION; PRIORITY JOURNAL; RETROSPECTIVE STUDY; TITRIMETRY;

BAYES THEOREM; DECISION SUPPORT TECHNIQUES; HUMANS; MODELS, BIOLOGICAL; MONITORING, PHYSIOLOGIC; OXYGEN; PULMONARY GAS EXCHANGE; RETROSPECTIVE STUDIES;

EID: 18844462420     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.artmed.2004.07.012     Document Type: Conference Paper

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