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Predicting multifaceted risks using machine learning in atr..:
Lu, Juan
;
Bisson, Arnaud
;
Bennamoun, Mohammed
...
European Heart Journal - Digital Health. 5 (2024) 3 - p. 235-246 , 2024
Link:
https://doi.org/10.1093/ehjdh/ztae010
RT Journal T1 <Title>Predicting multifaceted risks using machine learning in atrial fibrillation: insights from GLORIA-AF study</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1093_ehjdh_ztae010&Exemplar=1&LAN=DE A1 Lu, Juan A1 Bisson, Arnaud A1 Bennamoun, Mohammed A1 Zheng, Yalin A1 Sanfilippo, Frank M A1 Hung, Joseph A1 Briffa, Tom A1 McQuillan, Brendan A1 Stewart, Jonathon A1 Figtree, Gemma A1 Huisman, Menno V A1 Dwivedi, Girish A1 Lip, Gregory Y H PB Oxford University Press (OUP) YR 2024 SN 2634-3916 JF European Heart Journal - Digital Health VO 5 IS 3 SP 235 OP 246 LK http://dx.doi.org/https://doi.org/10.1093/ehjdh/ztae010 DO https://doi.org/10.1093/ehjdh/ztae010 SF ELIB - SuUB Bremen
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