Predicting pathological response to neoadjuvant chemotherapy in breast cancer patients based on imbalanced clinical data (Englisch)
- Neue Suche nach: Gao, Ting
- Neue Suche nach: Hao, Yaguang
- Neue Suche nach: Zhang, Haipeng
- Neue Suche nach: Hu, Lina
- Neue Suche nach: Li, Hongzhi
- Neue Suche nach: Li, Hui
- Neue Suche nach: Hu, LiHong
- Weitere Informationen zu Hu, LiHong:
- https://orcid.org/0000-0003-3792-2917
- Neue Suche nach: Han, Bing
- Neue Suche nach: Gao, Ting
- Neue Suche nach: Hao, Yaguang
- Neue Suche nach: Zhang, Haipeng
- Neue Suche nach: Hu, Lina
- Neue Suche nach: Li, Hongzhi
- Neue Suche nach: Li, Hui
- Neue Suche nach: Hu, LiHong
- Weitere Informationen zu Hu, LiHong:
- https://orcid.org/0000-0003-3792-2917
- Neue Suche nach: Han, Bing
In:
Personal and Ubiquitous Computing
;
22
, 5-6
; 1039-1047
;
2018
-
ISSN:
- Aufsatz (Zeitschrift) / Elektronische Ressource
-
Titel:Predicting pathological response to neoadjuvant chemotherapy in breast cancer patients based on imbalanced clinical data
-
Beteiligte:Gao, Ting ( Autor:in ) / Hao, Yaguang ( Autor:in ) / Zhang, Haipeng ( Autor:in ) / Hu, Lina ( Autor:in ) / Li, Hongzhi ( Autor:in ) / Li, Hui ( Autor:in ) / Hu, LiHong ( Autor:in ) / Han, Bing ( Autor:in )
-
Erschienen in:Personal and Ubiquitous Computing ; 22, 5-6 ; 1039-1047
-
Verlag:
- Neue Suche nach: Springer London
- Neue Suche nach: Springer
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Erscheinungsort:London
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Erscheinungsdatum:2018
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ISSN:
-
ZDBID:
-
DOI:
-
Medientyp:Aufsatz (Zeitschrift)
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Format:Elektronische Ressource
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Sprache:Englisch
- Neue Suche nach: 53.76 / 54.26
- Weitere Informationen zu Basisklassifikation
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Schlagwörter:
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Klassifikation:
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Datenquelle:
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