Enhancing the diagnosis of functionally relevant coronary artery disease with 
machine learning

Bock, Christian; Walter, Joan Elias; Rieck, Bastian; Strebel, Ivo; Rumora, Klara; Schaefer, Ibrahim; Zellweger, Michael J.; Borgwardt, Karsten; Müller, Christian

doi:10.1038/s41467-024-49390-y

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Enhancing the diagnosis of functionally relevant coronary artery disease with machine learning

Bock, C., Walter, J. E., Rieck, B., Strebel, I., Rumora, K., Schaefer, I., et al. (2024). Enhancing the diagnosis of functionally relevant coronary artery disease with machine learning. Nature Communications, 15: 5034. doi:10.1038/s41467-024-49390-y.

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Datensatz-Permalink: https://hdl.handle.net/21.11116/0000-000F-733A-F Versions-Permalink: https://hdl.handle.net/21.11116/0000-000F-733B-E

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Urheber:
Bock, Christian¹, Autor
Walter, Joan Elias¹, Autor
Rieck, Bastian¹, Autor
Strebel, Ivo¹, Autor
Rumora, Klara¹, Autor
Schaefer, Ibrahim¹, Autor
Zellweger, Michael J.¹, Autor
Borgwardt, Karsten², Autor
Müller, Christian¹, Autor

Affiliations:
1External Organizations, ou_persistent22
2Borgwardt, Karsten / Machine Learning and Systems Biology, Max Planck Institute of Biochemistry, Max Planck Society, ou_3502542