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1 Ergebnisse
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Development and validation of a machine learned algorithm t..:
Thomas Stuckey
;
Frederick Meine
;
Thomas McMinn
...
https://www.frontiersin.org/articles/10.3389/fcvm.2022.956147/full. , 2022
Link:
https://doi.org/10.3389/fcvm.2022.956147
RT Journal T1
Development and validation of a machine learned algorithm to IDENTIFY functionally significant coronary artery disease
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:7fd11bfb73a846698b6ad1a05a2b3ec4&Exemplar=1&LAN=DE A1 Thomas Stuckey A1 Frederick Meine A1 Thomas McMinn A1 Jeremiah P. Depta A1 Brett Bennett A1 Thomas McGarry A1 William Carroll A1 David Suh A1 John A. Steuter A1 Michael Roberts A1 Horace R. Gillins A1 Emmanuel Lange A1 Farhad Fathieh A1 Timothy Burton A1 Ali Khosousi A1 Ian Shadforth A1 William E. Sanders A1 Mark G. Rabbat PB Frontiers Media S.A. YR 2022 K1 coronary artery disease K1 artificial intelligence K1 front line testing K1 machine learning (ML) K1 digital health K1 Diseases of the circulatory (Cardiovascular) system K1 RC666-701 JF https://www.frontiersin.org/articles/10.3389/fcvm.2022.956147/full LK http://dx.doi.org/https://doi.org/10.3389/fcvm.2022.956147 DO https://doi.org/10.3389/fcvm.2022.956147 SF ELIB - SuUB Bremen
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