Estimation of pulmonary artery occlusion pressure by an artificial neural network

Critical Care Medicine

Volumn 31, Issue 1, 2003, Pages 261-266

  DeBoisblanc, Bennett P ^a   Pellett, Andrew ^a   Johnson, Royce ^b   Champagne, Michael ^a   McClarty, Espisito ^a   Dhillon, Gundeep ^a   Levitzky, Michael ^a  

^a LOUISIANA STATE UNIV MEDICAL CENTER   (United States)

^b Kinetic Concepts Inc   (United States)

Author keywords

Artificial intelligence; Hemodynamic monitoring; Pulmonary artery occlusion pressure

Indexed keywords

HISTAMINE; SEROTONIN;

ADAPTATION; ANIMAL EXPERIMENT; ANIMAL MODEL; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; CONTROLLED STUDY; CORRELATION COEFFICIENT; CRITICAL ILLNESS; DATA ANALYSIS; DIAGNOSTIC ACCURACY; DIASTOLIC BLOOD PRESSURE; FEMALE; HEMODYNAMIC MONITORING; LEARNING; LUNG ARTERY PRESSURE; LUNG HEMODYNAMICS; MALE; NONHUMAN; PATIENT MONITORING; PRIORITY JOURNAL; PULMONARY ARTERY; PULMONARY ARTERY OCCLUSION PRESSURE; WAVEFORM;

ANIMALS; BLOOD PRESSURE DETERMINATION; DIAGNOSIS, COMPUTER-ASSISTED; DOGS; HEMODYNAMIC PROCESSES; LINEAR MODELS; NEURAL NETWORKS (COMPUTER); PULMONARY WEDGE PRESSURE; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 0037247848     PISSN: 00903493     EISSN: None     Source Type: Journal    
DOI: 10.1097/00003246-200301000-00041     Document Type: Article

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