ETM: Enrichment by topic modeling for automated clinical sentence classification to detect patients’ disease history

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1573-7675

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: 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

Creator: Bagheri, Ayoub
Sammani, Arjan
Heijden, Peter G. M. van der
Asselbergs, Folkert W.
Oberski, Daniel L.

Contributor: SpringerLink (Online service)

DOI: 10.1007/s10844-020-00605-w

URN: urn:nbn:de:101:1-2020070818445010676382

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:51 AM CEST

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Bagheri, Ayoub
Sammani, Arjan
Heijden, Peter G. M. van der
Asselbergs, Folkert W.
Oberski, Daniel L.
SpringerLink (Online service)

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ETM: Enrichment by topic modeling for automated clinical sentence classification to detect patients’ disease history

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