Assessing domain adaptation in adverse drug event extraction on real-world breast cancer records.

Journal: International journal of medical informatics
PMID:

Abstract

BACKGROUND: Adverse Drug Events (ADE) are key information present in unstructured portions of Electronic Health Records. These pose a significant challenge in healthcare, ranging from mild discomfort to severe complications, and can impact patient safety and treatment outcomes.

Authors

  • Gabriel Herman Bernardim Andrade
    Department of Information Science, Nara Institute of Science and Technology, 8916-5 Takayamacho, Ikoma, 630-0101, Nara, Japan. Electronic address: herman_bernardim_andrade.hi1@is.naist.jp.
  • Tomohiro Nishiyama
    Division of Information Science, Graduate School of Science and Technology, Nara Institute of Science and Technology, Nara, Japan.
  • Takako Fujimaki
    Department of Information Science, Nara Institute of Science and Technology, 8916-5 Takayamacho, Ikoma, 630-0101, Nara, Japan.
  • Shuntaro Yada
    Graduate School of Science and Technology, Nara Institute of Science and Technology, Ikoma, Nara, Japan.
  • Shoko Wakamiya
    Nara Institute of Science and Technology (NAIST), Japan.
  • Mari Takagi
    Department of Pharmacy, Osaka International Cancer Institute, 3-1-69 Otemae, Chuo-ku, 541-8567, Osaka, Japan.
  • Mizuki Kato
    Cancer Control Center, Osaka International Cancer Institute, 3-1-69 Otemae, Chuo-ku, 541-8567, Osaka, Japan.
  • Isao Miyashiro
    Cancer Control Center, Osaka International Cancer Institute, 3-1-69 Otemae, Chuo-ku, 541-8567, Osaka, Japan.
  • Eiji Aramaki
    Nara Institute of Science and Technology (NAIST), Japan.