Data mining using clinical physiology at discharge to predict ICU readmissions

Expert Systems with Applications

Volumn 39, Issue 18, 2012, Pages 13158-13165

  Fialho, A S ^a,b   Cismondi, F ^a,b   Vieira, S M ^b   Reti, S R ^c   Sousa, J M C ^b   Finkelstein, S N ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b INSTITUTO SUPERIOR TÉCNICO   (Portugal)

^c HARVARD MEDICAL SCHOOL   (United States)

Author keywords

Feature selection; Fuzzy logic; Intensive care unit; Patient readmission

Indexed keywords

ARTERIAL BLOOD PRESSURE; CLINICAL MANAGEMENT; CURRENT MODELS; FUZZY MODELING; HEART RATES; MEAN TEMPERATURE; MEDICAL CENTER; PATIENT READMISSION; PREDICTIVE POWER; PREDICTIVE VALUES; PREDICTIVE VARIABLES; SEQUENTIAL FORWARD SELECTION; TREE SEARCH;

DATA MINING; FEATURE EXTRACTION; FORECASTING; FUZZY LOGIC; LACTIC ACID; PHYSIOLOGY;

INTENSIVE CARE UNITS;

EID: 84865223580     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2012.05.086     Document Type: Article

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