A novel time series analysis approach for prediction of dialysis in critically ill patients using echo-state networks

BMC Medical Informatics and Decision Making

Volumn 10, Issue 1, 2010, Pages

  Verplancke, T ^a   Van Looy, S ^b   Steurbaut, K ^b   Benoit, D ^a   De Turck, F ^b   De Moor, G ^c   Decruyenaere, J ^a  

^a GHENT UNIVERSITY HOSPITAL   (Belgium)

^b GHENT UNIVERSITY   (Belgium)

^c GHENT UNIVERSITY   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BAYES THEOREM; COMPARATIVE STUDY; COMPUTER ASSISTED THERAPY; CRITICAL ILLNESS; DIALYSIS; EVALUATION; FACTUAL DATABASE; HUMAN; INTENSIVE CARE UNIT; LENGTH OF STAY; METHODOLOGY; TIME;

ALGORITHMS; BAYES THEOREM; CRITICAL ILLNESS; DATABASES, FACTUAL; DIALYSIS; HUMANS; INTENSIVE CARE UNITS; LENGTH OF STAY; NEURAL NETWORKS (COMPUTER); THERAPY, COMPUTER-ASSISTED; TIME;

EID: 77649099576     PISSN: None     EISSN: 14726947     Source Type: Journal    
DOI: 10.1186/1472-6947-10-4     Document Type: Article

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