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Predicting target lesion failure following percutaneous cor..:
Mamas, Mamas A
;
Roffi, Marco
;
Fröbert, Ole
...
European Heart Journal - Digital Health. 4 (2023) 6 - p. 433-443 , 2023
Link:
https://doi.org/10.1093/ehjdh/ztad051
RT Journal T1 <Title>Predicting target lesion failure following percutaneous coronary intervention through machine learning risk assessment models</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1093_ehjdh_ztad051&Exemplar=1&LAN=DE A1 Mamas, Mamas A A1 Roffi, Marco A1 Fröbert, Ole A1 Chieffo, Alaide A1 Beneduce, Alessandro A1 Matetic, Andrija A1 Tonino, Pim A L A1 Paunovic, Dragica A1 Jacobs, Lotte A1 Debrus, Roxane A1 El Aissaoui, Jérémy A1 van Leeuwen, Frank A1 Kontopantelis, Evangelos PB Oxford University Press (OUP) YR 2023 SN 2634-3916 JF European Heart Journal - Digital Health VO 4 IS 6 SP 433 OP 443 LK http://dx.doi.org/https://doi.org/10.1093/ehjdh/ztad051 DO https://doi.org/10.1093/ehjdh/ztad051 SF ELIB - SuUB Bremen
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