Interpretable machine learning predicts cardiac resynchronization therapy responses from personalized biochemical and biomechanical features
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1472-6947
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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Interpretable machine learning predicts cardiac resynchronization therapy responses from personalized biochemical and biomechanical features ; volume:22 ; number:1 ; day:31 ; month:10 ; year:2022 ; pages:1-10 ; date:12.2022
BMC medical informatics and decision making ; 22, Heft 1 (31.10.2022), 1-10, 12.2022
- Urheber
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Haque, Anamul
Stubbs, Doug
Hubig, Nina C.
Spinale, Francis G.
Richardson, William J.
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1186/s12911-022-02015-0
- URN
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urn:nbn:de:101:1-2023011509031627639276
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:37 MESZ
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Beteiligte
- Haque, Anamul
- Stubbs, Doug
- Hubig, Nina C.
- Spinale, Francis G.
- Richardson, William J.
- SpringerLink (Online service)
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