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Machine learning to predict the long-term risk of myocardia..:
Commandeur, Frederic
;
Slomka, Piotr J
;
Goeller, Markus
...
Cardiovascular Research. 116 (2019) 14 - p. 2216-2225 , 2019
Link:
https://doi.org/10.1093/cvr/cvz321
RT Journal T1
Machine learning to predict the long-term risk of myocardial infarction and cardiac death based on clinical risk, coronary calcium, and epicardial adipose tissue: a prospective study
UL https://suche.suub.uni-bremen.de/peid=cr-10.1093_cvr_cvz321&Exemplar=1&LAN=DE A1 Commandeur, Frederic A1 Slomka, Piotr J A1 Goeller, Markus A1 Chen, Xi A1 Cadet, Sebastien A1 Razipour, Aryabod A1 McElhinney, Priscilla A1 Gransar, Heidi A1 Cantu, Stephanie A1 Miller, Robert J H A1 Rozanski, Alan A1 Achenbach, Stephan A1 Tamarappoo, Balaji K A1 Berman, Daniel S A1 Dey, Damini PB Oxford University Press (OUP) YR 2019 SN 0008-6363 SN 1755-3245 JF Cardiovascular Research VO 116 IS 14 SP 2216 OP 2225 LK http://dx.doi.org/https://doi.org/10.1093/cvr/cvz321 DO https://doi.org/10.1093/cvr/cvz321 SF ELIB - SuUB Bremen
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