Prediction of extubation failure for neonates with respiratory distress syndrome using the MIMIC-II clinical database

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2012, Pages 5094-5097

  Mikhno, Arthur ^a   Ennett, Colleen M ^b  

^a Department of Earth and Environmental Sciences   (United States)

^b PHILIPS RESEARCH LABORATORIES   (Netherlands)

Author keywords

Extubation failure; neonatal intensive care unit; outcomes estimation; respiratory distress syndrome

Indexed keywords

ALGORITHM PERFORMANCE; ARTERIAL BLOOD; CELL COUNT; CLINICAL DATABASE; FINANCIAL COSTS; HEART RATES; INTENSIVE CARE; LEARNING APPROACH; NEONATAL INTENSIVE CARE UNITS; PARTIAL PRESSURE OF OXYGEN; PREDICTION ALGORITHMS; PREDICTION MODEL; RECEIVER OPERATING CHARACTERISTIC CURVES; RESPIRATORY DISTRESS SYNDROME; RISK FACTORS; WORK OF BREATHINGS;

ALGORITHMS; INTENSIVE CARE UNITS; OXYGEN; RESPIRATORS; RESPIRATORY MECHANICS;

SAFETY ENGINEERING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL VENTILATION; COMPUTER ASSISTED DIAGNOSIS; DATA BASE; DECISION SUPPORT SYSTEM; EXTUBATION; FACTUAL DATABASE; FEMALE; HUMAN; INCIDENCE; MALE; METHODOLOGY; NEONATAL RESPIRATORY DISTRESS SYNDROME; NEWBORN; PROGNOSIS; REPRODUCIBILITY; RISK ASSESSMENT; SENSITIVITY AND SPECIFICITY; TREATMENT FAILURE; UNITED STATES; UTILIZATION REVIEW;

AIRWAY EXTUBATION; ALGORITHMS; ARTIFICIAL INTELLIGENCE; DATABASE MANAGEMENT SYSTEMS; DATABASES, FACTUAL; DECISION SUPPORT SYSTEMS, MANAGEMENT; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; HUMANS; INCIDENCE; INFANT, NEWBORN; MALE; NEW YORK; PROGNOSIS; REPRODUCIBILITY OF RESULTS; RESPIRATION, ARTIFICIAL; RESPIRATORY DISTRESS SYNDROME, NEWBORN; RISK ASSESSMENT; SENSITIVITY AND SPECIFICITY; TREATMENT FAILURE;

MLCS; MLOWN;

EID: 84880998909     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2012.6347139     Document Type: Conference Paper

References (12)

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