Post-stroke respiratory complications using machine learning with voice features from mobile devices
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2045-2322
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Post-stroke respiratory complications using machine learning with voice features from mobile devices ; volume:12 ; number:1 ; day:6 ; month:10 ; year:2022 ; pages:1-11 ; date:12.2022
Scientific reports ; 12, Heft 1 (6.10.2022), 1-11, 12.2022
- Creator
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Park, Hae-Yeon
Park, DoGyeom
Kang, Hye Seon
Kim, HyunBum
Lee, Seungchul
Im, Sun
- Contributor
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SpringerLink (Online service)
- DOI
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10.1038/s41598-022-20348-8
- URN
-
urn:nbn:de:101:1-2023022721081048890896
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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20.04.20500, 1:42 PM CEST
Data provider
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Associated
- Park, Hae-Yeon
- Park, DoGyeom
- Kang, Hye Seon
- Kim, HyunBum
- Lee, Seungchul
- Im, Sun
- SpringerLink (Online service)
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Circulating leukotriene b4 identifies respiratory complications after trauma
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Are respiratory complications of Plasmodium vivax malaria an underestimated problem?
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