Lightweight predicate extraction for patient-level cancer information and ontology development
- 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
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Lightweight predicate extraction for patient-level cancer information and ontology development ; volume:17 ; number:2 ; day:5 ; month:7 ; year:2017 ; pages:23-34 ; date:7.2017
BMC medical informatics and decision making ; 17, Heft 2 (5.7.2017), 23-34, 7.2017
- Urheber
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Amith, Muhammad
- Beteiligte Personen und Organisationen
-
Song, Hsing-Yi
Zhang, Yaoyun
Xu, Hua
Tao, Cui
SpringerLink (Online service)
- DOI
-
10.1186/s12911-017-0465-x
- URN
-
urn:nbn:de:101:1-2018080900034852938076
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:24 MESZ
Datenpartner
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Beteiligte
- Amith, Muhammad
- Song, Hsing-Yi
- Zhang, Yaoyun
- Xu, Hua
- Tao, Cui
- SpringerLink (Online service)
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