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Adverse event signal extraction from cancer patients' narratives focusing on impact on their daily-life activities.
Nishioka, Satoshi; Asano, Masaki; Yada, Shuntaro; Aramaki, Eiji; Yajima, Hiroshi; Yanagisawa, Yuki; Sayama, Kyoko; Kizaki, Hayato; Hori, Satoko.
Afiliação
  • Nishioka S; Division of Drug Informatics, Keio University Faculty of Pharmacy, Tokyo, Japan.
  • Asano M; Division of Drug Informatics, Keio University Faculty of Pharmacy, Tokyo, Japan.
  • Yada S; Nara Institute of Science and Technology, Nara, Japan.
  • Aramaki E; Nara Institute of Science and Technology, Nara, Japan.
  • Yajima H; Mediaid Corporation, Tokyo, Japan.
  • Yanagisawa Y; Division of Drug Informatics, Keio University Faculty of Pharmacy, Tokyo, Japan.
  • Sayama K; Division of Drug Informatics, Keio University Faculty of Pharmacy, Tokyo, Japan.
  • Kizaki H; Division of Drug Informatics, Keio University Faculty of Pharmacy, Tokyo, Japan.
  • Hori S; Division of Drug Informatics, Keio University Faculty of Pharmacy, Tokyo, Japan. satokoh@keio.jp.
Sci Rep ; 13(1): 15516, 2023 09 19.
Article em En | MEDLINE | ID: mdl-37726371
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Limite: Animals / Female / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Limite: Animals / Female / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article