An intelligent scoring system and its application to cardiac arrest prediction

IEEE Transactions on Information Technology in Biomedicine

Volumn 16, Issue 6, 2012, Pages 1324-1331

  Liu, Nan ^a   Lin, Zhiping ^b   Cao, Jiuwen ^b   Koh, Zhixiong ^a   Zhang, Tongtong ^a   Huang, Guang Bin ^b   Ser, Wee ^b   Ong, Marcus Eng Hock ^a  

^a SINGAPORE GENERAL HOSPITAL   (Singapore)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Cardiac arrest; heart rate variability; machine learning; scoring system

Indexed keywords

BINARY DECISION; CARDIAC ARREST; CLINICAL ASSESSMENTS; CROSS VALIDATION; FEATURE VECTORS; GEOMETRIC DISTANCES; HEART RATE VARIABILITY; IMBALANCED DATA-SETS; LEAVE-ONE-OUT; NEGATIVE PREDICTIVE VALUE; PATIENT POPULATION; PERFORMANCE EVALUATION; POSITIVE PREDICTIVE VALUES; RECEIVER OPERATING CHARACTERISTICS; RISK SCORE; SCORING SYSTEMS; VITAL SIGN;

FORECASTING; IMAGE RETRIEVAL; LEARNING ALGORITHMS; LEARNING SYSTEMS; STATISTICAL METHODS;

HEART;

AGED; BIOLOGY; COMPUTER ASSISTED DIAGNOSIS; ELECTROCARDIOGRAPHY; FACTUAL DATABASE; FEMALE; HEART ARREST; HEART RATE; HUMAN; MALE; MIDDLE AGED; PATHOPHYSIOLOGY; PROCEDURES; PROSPECTIVE STUDY; RECEIVER OPERATING CHARACTERISTIC; SUPPORT VECTOR MACHINE; VITAL SIGN; ARTICLE; METHODOLOGY;

AGED; COMPUTATIONAL BIOLOGY; DATABASES, FACTUAL; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROCARDIOGRAPHY; FEMALE; HEART ARREST; HEART RATE; HUMANS; MALE; MIDDLE AGED; PROSPECTIVE STUDIES; ROC CURVE; SUPPORT VECTOR MACHINES; VITAL SIGNS;

EID: 84870946908     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2012.2212448     Document Type: Article

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