ETM: Enrichment by topic modeling for automated clinical sentence classification to detect patients’ disease history
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1573-7675
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
ETM: Enrichment by topic modeling for automated clinical sentence classification to detect patients’ disease history ; day:28 ; month:4 ; year:2020 ; pages:1-21
Journal of intelligent information systems ; (28.4.2020), 1-21
- Urheber
-
Bagheri, Ayoub
Sammani, Arjan
Heijden, Peter G. M. van der
Asselbergs, Folkert W.
Oberski, Daniel L.
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s10844-020-00605-w
- URN
-
urn:nbn:de:101:1-2020070818445010676382
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:51 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Bagheri, Ayoub
- Sammani, Arjan
- Heijden, Peter G. M. van der
- Asselbergs, Folkert W.
- Oberski, Daniel L.
- SpringerLink (Online service)
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