Optimal machine learning methods for prediction of high-flow nasal cannula outcomes using image features from electrical impedance tomography
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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In: Computer Methods and Programs in Biomedicine 238.2023, August, 107613
- Ereignis
-
Veröffentlichung
- (wo)
-
Furtwangen
- (wer)
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Hochschule Furtwangen
- (wann)
-
2023
- Urheber
- DOI
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10.1016/j.cmpb.2023.107613
- URN
-
urn:nbn:de:bsz:fn1-opus4-101782
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:27 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Yang, Lin
- Li, Zhe
- Dai, Meng
- Fu, Feng
- Möller, Knut
- Gao, Yuan
- Zhao, Zhanqi
- Hochschule Furtwangen
Entstanden
- 2023
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