Predicting two-year survival versus non-survival after first myocardial infarction using machine learning and Swedish national register data

BMC Medical Informatics and Decision Making

Volumn 17, Issue 1, 2017, Pages

  Wallert, John ^a,b   Tomasoni, Mattia ^a   Madison, Guy ^c   Held, Claes ^b  

^a UPPSALA UNIVERSITY   (Sweden)

^b UPPSALA UNIVERSITY   (Sweden)

^c UMEÅ UNIVERSITY   (Sweden)

Author keywords

Cardiovascular disease; Classification; Coronary Artery Syndrome; Myocardial infarction; Prognostic Modelling; Registries; Supervised machine learning

Indexed keywords

AGED; ALGORITHM; BIOLOGICAL MODEL; CAUSE OF DEATH; CLASSIFICATION; COMPARATIVE STUDY; EPIDEMIOLOGY; FEMALE; HEART INFARCTION; HUMAN; MALE; MIDDLE AGED; MORTALITY; PROGNOSIS; PROSPECTIVE STUDY; REGISTER; REPRODUCIBILITY; RISK ASSESSMENT; RISK FACTOR; SUPPORT VECTOR MACHINE; SURVIVAL ANALYSIS; SWEDEN; VERY ELDERLY;

AGED; AGED, 80 AND OVER; ALGORITHMS; CAUSE OF DEATH; FEMALE; HUMANS; MALE; MIDDLE AGED; MODELS, CARDIOVASCULAR; MYOCARDIAL INFARCTION; PROGNOSIS; PROSPECTIVE STUDIES; REGISTRIES; REPRODUCIBILITY OF RESULTS; RISK ASSESSMENT; RISK FACTORS; SUPPORT VECTOR MACHINE; SURVIVAL ANALYSIS; SWEDEN;

EID: 85021694998     PISSN: None     EISSN: 14726947     Source Type: Journal    
DOI: 10.1186/s12911-017-0500-y     Document Type: Article

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