Risk stratification for prediction of adverse coronary events in emergency department chest pain patients with a machine learning score compared with the TIMI score

International Journal of Cardiology

Volumn 177, Issue 3, 2014, Pages 1095-1097

  Liu, Nan ^a   Lee, Marcus Aik Beng ^b   Ho, Andrew Fu Wah ^c   Haaland, Benjamin ^b,d   Fook Chong, Stephanie ^a   Koh, Zhi Xiong ^a   Pek, Pin Pin ^a   Chua, Eric Chern Pin ^e   Ting, Boon Ping ^c   Lin, Zhiping ^f   Ong, Marcus Eng Hock ^a,b  

^a SINGAPORE GENERAL HOSPITAL   (Singapore)

^b DUKE NUS MEDICAL SCHOOL   (Singapore)

^c Singapore Health Services   (Singapore)

^d NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^e SINGAPORE INSTITUTE OF TECHNOLOGY   (Singapore)

^f NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Adverse coronary events; Emergency department; Machine learning; Risk stratification; Thrombolysis in myocardial infarction

Indexed keywords

ACUTE CORONARY SYNDROME; ADULT; ADVERSE OUTCOME; AGED; CARDIOVASCULAR MORTALITY; CORONARY RISK; ELECTROCARDIOGRAPHY; EMERGENCY WARD; FEMALE; HEART RATE VARIABILITY; HIGH RISK PATIENT; HUMAN; LETTER; MACHINE LEARNING; MAJOR CLINICAL STUDY; MALE; OBSERVATIONAL STUDY; OUTCOME ASSESSMENT; PREDICTIVE VALUE; PROGNOSIS; RECEIVER OPERATING CHARACTERISTIC; RETROSPECTIVE STUDY; RISK ASSESSMENT; SCORING SYSTEM; SENSITIVITY AND SPECIFICITY; THORAX PAIN; THROMBOLYSIS IN MYOCARDIAL INFARCTION SCORE; ARTIFICIAL INTELLIGENCE; CHEST PAIN; COMPARATIVE STUDY; EMERGENCY HEALTH SERVICE; FIBRINOLYTIC THERAPY; MIDDLE AGED; MYOCARDIAL INFARCTION; PROCEDURES; RISK FACTOR; STANDARDS;

ACUTE CORONARY SYNDROME; AGED; ARTIFICIAL INTELLIGENCE; CHEST PAIN; EMERGENCY SERVICE, HOSPITAL; FEMALE; HUMANS; MALE; MIDDLE AGED; MYOCARDIAL INFARCTION; PREDICTIVE VALUE OF TESTS; RETROSPECTIVE STUDIES; RISK FACTORS; THROMBOLYTIC THERAPY;

EID: 84920200344     PISSN: 01675273     EISSN: 18741754     Source Type: Journal    
DOI: 10.1016/j.ijcard.2014.09.199     Document Type: Article

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