Data preprocessing and mortality prediction: The Physionet/CinC 2012 challenge revisited

Computing in Cardiology

Volumn 41, Issue January, 2014, Pages 157-160

  Johnson, Alistair E W ^a   Kramer, Andrew A ^b   Clifford, Gari D ^a,c  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b CERNER CORPORATION   (United States)

^c EMORY UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CARDIOLOGY; DECISION TREES; INTENSIVE CARE UNITS; LEARNING SYSTEMS; REGRESSION ANALYSIS;

DATA PREPROCESSING; IMPROVE PERFORMANCE; MACHINE LEARNING MODELS; NONLINEAR TECHNIQUES; OUTLIER REJECTION; PATIENT SPECIFIC; PRE-PROCESSING METHOD; SOPHISTICATED MACHINES;

LEARNING ALGORITHMS;

EID: 84931338335     PISSN: 23258861     EISSN: 2325887X     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

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