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1 Ergebnisse
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Machine learning models of clinically relevant biomarkers f..:
Juntae Kim
;
Su Yeon Lee
;
Byung Hee Cha
...
https://www.frontiersin.org/articles/10.3389/fcvm.2022.933803/full. , 2022
Link:
https://doi.org/10.3389/fcvm.2022.933803
RT Journal T1 <Title>Machine learning models of clinically relevant biomarkers for the prediction of stable obstructive coronary artery disease</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:ca661e4e5aee4c0dae0884b043b0b79c&Exemplar=1&LAN=DE A1 Juntae Kim A1 Su Yeon Lee A1 Byung Hee Cha A1 Wonseop Lee A1 JiWung Ryu A1 Young Hak Chung A1 Dongmin Kim A1 Seong-Hoon Lim A1 Tae Soo Kang A1 Byoung-Eun Park A1 Myung-Yong Lee A1 Sungsoo Cho PB Frontiers Media S.A. YR 2022 K1 machine learning K1 artificial intelligence K1 coronary artery disease K1 stable angina pectoris K1 personalized medicine K1 Diseases of the circulatory (Cardiovascular) system K1 RC666-701 JF https://www.frontiersin.org/articles/10.3389/fcvm.2022.933803/full LK http://dx.doi.org/https://doi.org/10.3389/fcvm.2022.933803 DO https://doi.org/10.3389/fcvm.2022.933803 SF ELIB - SuUB Bremen
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