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Prediction of 3-year all-cause and cardiovascular cause mor..:
Călburean, Paul-Adrian
;
Grebenișan, Paul
;
Nistor, Ioana-Andreea
...
Atherosclerosis. 350 (2022) - p. 33-40 , 2022
Link:
https://doi.org/10.1016/j.atherosclerosis.2022.03.028
RT Journal T1
Prediction of 3-year all-cause and cardiovascular cause mortality in a prospective percutaneous coronary intervention registry: Machine learning model outperforms conventional clinical risk scores
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.atherosclerosis.2022.03.028&Exemplar=1&LAN=DE A1 Călburean, Paul-Adrian A1 Grebenișan, Paul A1 Nistor, Ioana-Andreea A1 Pal, Krisztina A1 Vacariu, Victor A1 Drincal, Reka-Katalin A1 Țepes, Oana A1 Bârlea, Iulia A1 Șuș, Ioana A1 Somkereki, Cristina A1 Șimon, Valentin A1 Demjén, Zoltán A1 Adorján, István A1 Pinitilie, Irina A1 Dolcoș, Anca Teodora A1 Oltean, Tiberiu A1 Mărușteri, Marius A1 Druica, Elena A1 Hadadi, László PB Elsevier BV YR 2022 SN 0021-9150 JF Atherosclerosis VO 350 SP 33 OP 40 LK http://dx.doi.org/https://doi.org/10.1016/j.atherosclerosis.2022.03.028 DO https://doi.org/10.1016/j.atherosclerosis.2022.03.028 SF ELIB - SuUB Bremen
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