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1 Ergebnisse
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A machine learning approach for predicting descending thora..:
Ronghuang Yu
;
Min Jin
;
Yaohui Wang
...
https://www.frontiersin.org/articles/10.3389/fcvm.2023.1097116/full. , 2023
Link:
https://doi.org/10.3389/fcvm.2023.1097116
RT Journal T1 <Title>A machine learning approach for predicting descending thoracic aortic diameter</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:91470194066246ee940016179d9f1c65&Exemplar=1&LAN=DE A1 Ronghuang Yu A1 Min Jin A1 Yaohui Wang A1 Xiujuan Cai A1 Keyin Zhang A1 Jian Shi A1 Zeyi Zhou A1 Fudong Fan A1 Jun Pan A1 Qing Zhou A1 Xinlong Tang A1 Dongjin Wang PB Frontiers Media S.A. YR 2023 K1 machine learning K1 aortic diameter K1 TEVAR K1 CTA K1 predictive model K1 Diseases of the circulatory (Cardiovascular) system K1 RC666-701 JF https://www.frontiersin.org/articles/10.3389/fcvm.2023.1097116/full LK http://dx.doi.org/https://doi.org/10.3389/fcvm.2023.1097116 DO https://doi.org/10.3389/fcvm.2023.1097116 SF ELIB - SuUB Bremen
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