Machine learning for prediction of 30-day mortality after ST elevation myocardial infraction: An Acute Coronary Syndrome Israeli Survey data mining study

International Journal of Cardiology

Volumn 246, Issue , 2017, Pages 7-13

  Shouval, Roni ^a,b,c   Hadanny, Amir ^b,c,d   Shlomo, Nir ^a   Iakobishvili, Zaza ^c   Unger, Ron ^b   Zahger, Doron ^e   Alcalai, Ronny ^f   Atar, Shaul ^b   Gottlieb, Shmuel ^a,g   Matetzky, Shlomi ^c   Goldenberg, Ilan ^a,c   Beigel, Roy ^c  

^a SHEBA MEDICAL CENTER   (Israel)

^b BAR ILAN UNIVERSITY   (Israel)

^c TEL AVIV UNIVERSITY   (Israel)

^d ASSAF HAROFEH MEDICAL CENTER   (Israel)

^e BEN GURION UNIVERSITY OF THE NEGEV   (Israel)

^f HADASSAH HEBREW UNIVERSITY MEDICAL CENTER   (Israel)

^g HEBREW UNIVERSITY   (Israel)

Author keywords

Data mining; Machine learning; Mortality; Outcome; STEMI

Indexed keywords

CREATININE;

ADULT; AGE; AGED; ARTICLE; BLOOD PRESSURE; CARDIOVASCULAR DISEASE ASSESSMENT; CLASSIFIER; DATA MINING; FEMALE; GLOBAL REGISTRY OF ACUTE CORONARY EVENTS SCORE; GLUCOSE LEVEL; HUMAN; ISRAELI; KILLIP SCORE; MACHINE LEARNING; MAJOR CLINICAL STUDY; MALE; MORTALITY; PREDICTION; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; RETROSPECTIVE STUDY; ST SEGMENT ELEVATION MYOCARDIAL INFARCTION; THROMBOLYSIS IN MYOCARDIAL INFARCTION SCORE; ACUTE CORONARY SYNDROME; ALGORITHM; CLINICAL TRIAL; HOSPITAL MORTALITY; ISRAEL; MIDDLE AGED; MULTICENTER STUDY; PROCEDURES; PROGNOSIS; QUESTIONNAIRE; REGISTER; RISK ASSESSMENT; RISK FACTOR; SURVIVAL RATE; TRENDS;

ACUTE CORONARY SYNDROME; AGED; ALGORITHMS; DATA MINING; FEMALE; HOSPITAL MORTALITY; HUMANS; ISRAEL; MACHINE LEARNING; MALE; MIDDLE AGED; PROGNOSIS; REGISTRIES; RETROSPECTIVE STUDIES; RISK ASSESSMENT; RISK FACTORS; ROC CURVE; ST ELEVATION MYOCARDIAL INFARCTION; SURVEYS AND QUESTIONNAIRES; SURVIVAL RATE;

EID: 85028571788     PISSN: 01675273     EISSN: 18741754     Source Type: Journal    
DOI: 10.1016/j.ijcard.2017.05.067     Document Type: Article

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