Novelty detection for identifying deterioration in emergency department patients

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6936 LNCS, Issue , 2011, Pages 220-227

  Clifton, David A ^a   Wong, David ^a   Fleming, Susannah ^a   Wilson, Sarah J ^b,c   Way, Rob ^c   Pullinger, Richard ^c   Tarassenko, Lionel ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b FRIMLEY PARK HOSPITAL NHS FOUNDATION TRUST   (United Kingdom)

^c OXFORD UNIVERSITY HOSPITALS NHS FOUNDATION TRUST   (United Kingdom)

Author keywords

Novelty Detection; Support Vector Machines

Indexed keywords

CLASSIFICATION SYSTEM; EARLY WARNING; EARLY WARNING SCORE; EMERGENCY DEPARTMENTS; NOVELTY DETECTION; OBSERVATIONAL STUDY; ON-LINE CLASSIFICATION; SUPPORT VECTOR; VITAL SIGN;

AUTOMATION; EMERGENCY ROOMS; HEURISTIC METHODS; HOSPITALS; SUPPORT VECTOR MACHINES;

DETERIORATION;

EID: 80053047465     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23878-9_27     Document Type: Conference Paper

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