Optimizing word embeddings for small datasets: a case study on patient portal messages from breast cancer patients

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Optimizing word embeddings for small datasets: a case study on patient portal messages from breast cancer patients ; volume:14 ; number:1 ; day:12 ; month:7 ; year:2024 ; pages:1-9 ; date:12.2024
Scientific reports ; 14, Heft 1 (12.7.2024), 1-9, 12.2024

Creator: Song, Qingyuan
Ni, Congning
Warner, Jeremy L.
Chen, Qingxia
Song, Lijun
Rosenbloom, S. Trent
Malin, Bradley A.
Yin, Zhijun

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41598-024-66319-z

URN: urn:nbn:de:101:1-2410310836389.592738034375

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

Last update: 15.08.2025, 7:25 AM CEST

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Song, Qingyuan
Ni, Congning
Warner, Jeremy L.
Chen, Qingxia
Song, Lijun
Rosenbloom, S. Trent
Malin, Bradley A.
Yin, Zhijun
SpringerLink (Online service)

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Optimizing word embeddings for small datasets: a case study on patient portal messages from breast cancer patients

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