Improvement in the prediction of ventilator weaning outcomes by an artificial neural network in a medical ICU

Respiratory Care

Volumn 60, Issue 11, 2015, Pages 1560-1569

  Kuo, Hung Ju ^a,b   Chiu, Hung Wen ^b   Lee, Chun Nin ^a,c   Chen, Tzu Tao ^a   Chang, Chih Cheng ^a   Bien, Mauo Ying ^c,d  

^a TAIPEI MEDICAL UNIVERSITY   (Taiwan)

^b Department of Pediatrics   (Taiwan)

^c TAIPEI MEDICAL UNIVERSITY   (Taiwan)

^d TAIPEI MEDICAL UNIVERSITY HOSPITAL   (Taiwan)

Author keywords

Airway extubation; Artificial neural network; Rapid shallow breathing index; Receiver operating characteristic curve; Spontaneous breathing trial; Weaning prediction

Indexed keywords

AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; ARTIFICIAL VENTILATION; BREATHING RATE; CLINICAL ASSESSMENT; EXTUBATION; FEMALE; HOSPITALIZATION; HUMAN; INTENSIVE CARE UNIT; MAJOR CLINICAL STUDY; MALE; MEAN EXPIRATORY TIDAL VOLUME; OUTCOME ASSESSMENT; RAPID SHALLOW BREATHING INDEX; RECEIVER OPERATING CHARACTERISTIC; RESPIRATORY TRACT PARAMETERS; WEANING; BIOLOGICAL MODEL; BREATHING; FORECASTING; LUNG; LUNG FUNCTION TEST; MIDDLE AGED; PATHOPHYSIOLOGY; PREDICTIVE VALUE; PROCEDURES; RANDOMIZATION; VENTILATOR WEANING; VERY ELDERLY;

AGED; AGED, 80 AND OVER; AIRWAY EXTUBATION; FEMALE; FORECASTING; HUMANS; INTENSIVE CARE UNITS; LUNG; MALE; MIDDLE AGED; MODELS, BIOLOGICAL; NEURAL NETWORKS (COMPUTER); PREDICTIVE VALUE OF TESTS; RANDOM ALLOCATION; RESPIRATION; RESPIRATION, ARTIFICIAL; RESPIRATORY FUNCTION TESTS; ROC CURVE; VENTILATOR WEANING;

EID: 84944789785     PISSN: 00201324     EISSN: 19433654     Source Type: Journal    
DOI: 10.4187/respcare.03648     Document Type: Article

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