Title |
Artificial Intelligence Identifies an Urgent Need for Peripheral Vascular Intervention by Multiplexing Standard Clinical Parameters / Kristina Sonnenschein, Stevan D. Stojanović, Nicholas Dickel, Jan Fiedler, Johann Bauersachs, Thomas Thum, Meik Kunz, Jörn Tongers |
|---|---|
Involved |
Kristina Sonnenschein (Verfasser)
Stevan D. Stojanović (Verfasser) Nicholas Dickel (Verfasser) Jan Fiedler (Verfasser)
Johann Bauersachs (Verfasser)
Thomas Thum (Verfasser) Meik Kunz (Verfasser) Jörn Tongers (Verfasser) |
Published |
Erlangen: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) |
Extent |
Online-Ressource |
Language |
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Country |
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Topic |
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Subject |
artificial intelligence
machine learning classification model Random Forest
peripheral artery disease
vascular disease |
DDC notation |
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Persistent identifier |
urn:nbn:de:bvb:29-opus4-174947 (URN) |
Further information |
In: Biomedicines 9.10 (2021): 1456. <https://www.mdpi.com/2227-9059/9/10/1456> |
Record ID |
1245619411 |
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