Artificial Intelligence Identifies an Urgent Need for Peripheral Vascular Intervention by Multiplexing Standard Clinical Parameters:
Gespeichert in:
| Hauptverfasser: | , , , , , , , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Erlangen ; Nürnberg
Friedrich-Alexander-Universität Erlangen-Nürnberg
2021
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| Schlagworte: | |
| Online-Zugang: | Volltext Volltext Volltext |
| Beschreibung: | 1 Online-Ressource |
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| author | Sonnenschein, Kristina Stojanović, Stevan D. Dickel, Nicholas Fiedler, Jan Bauersachs, Johann Thum, Thomas Kunz, Meik Tongers, Jörn |
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| spelling | Sonnenschein, Kristina Verfasser aut 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 Erlangen ; Nürnberg Friedrich-Alexander-Universität Erlangen-Nürnberg 2021 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Archivierung/Langzeitarchivierung gewährleistet DE-101 pdager artificial intelligence machine learning classification model Random Forest peripheral artery disease vascular disease Stojanović, Stevan D. Verfasser aut Dickel, Nicholas Verfasser aut Fiedler, Jan Verfasser aut Bauersachs, Johann Verfasser aut Thum, Thomas Verfasser aut Kunz, Meik Verfasser aut Tongers, Jörn Verfasser aut Sonderdruck aus Biomedicines Vol. 9 (2021) 10.3390/biomedicines9101456 https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-174947 Resolving-System kostenfrei Volltext https://d-nb.info/1245619411/34 Langzeitarchivierung Nationalbibliothek kostenfrei Volltext application/pdf https://open.fau.de/handle/openfau/17494 Verlag kostenfrei Volltext 1\p aepkn 0,83156 20211113 DE-101 https://d-nb.info/provenance/plan#aepkn 2\p aepsg 0,99997 20211113 DE-101 https://d-nb.info/provenance/plan#aepsg 3\p npi 20211112 DE-101 https://d-nb.info/provenance/plan#npi |
| spellingShingle | Sonnenschein, Kristina Stojanović, Stevan D. Dickel, Nicholas Fiedler, Jan Bauersachs, Johann Thum, Thomas Kunz, Meik Tongers, Jörn Artificial Intelligence Identifies an Urgent Need for Peripheral Vascular Intervention by Multiplexing Standard Clinical Parameters |
| title | Artificial Intelligence Identifies an Urgent Need for Peripheral Vascular Intervention by Multiplexing Standard Clinical Parameters |
| title_auth | Artificial Intelligence Identifies an Urgent Need for Peripheral Vascular Intervention by Multiplexing Standard Clinical Parameters |
| title_exact_search | Artificial Intelligence Identifies an Urgent Need for Peripheral Vascular Intervention by Multiplexing Standard Clinical Parameters |
| title_exact_search_txtP | Artificial Intelligence Identifies an Urgent Need for Peripheral Vascular Intervention by Multiplexing Standard Clinical Parameters |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_short | Artificial Intelligence Identifies an Urgent Need for Peripheral Vascular Intervention by Multiplexing Standard Clinical Parameters |
| title_sort | artificial intelligence identifies an urgent need for peripheral vascular intervention by multiplexing standard clinical parameters |
| url | https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-174947 https://d-nb.info/1245619411/34 https://open.fau.de/handle/openfau/17494 |
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