Identification of hand-foot syndrome from cancer patients’ blog posts: BERT-based deep-learning approach to detect potential adverse drug reaction symptoms

• Satoshi Nishioka,

  Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Validation, Visualization, Writing – original draft, Writing – review & editing

  Affiliation Keio University Faculty of Pharmacy, Division of Drug Informatics, Tokyo, Japan

  ⨯
• Tomomi Watanabe,

  Roles Conceptualization, Methodology

  Affiliation Keio University Faculty of Pharmacy, Division of Drug Informatics, Tokyo, Japan

  ⨯
• Masaki Asano,

  Roles Data curation

  Affiliation Keio University Faculty of Pharmacy, Division of Drug Informatics, Tokyo, Japan

  ⨯
• Tatsunori Yamamoto,

  Roles Conceptualization

  Affiliation Keio University Faculty of Pharmacy, Division of Drug Informatics, Tokyo, Japan

  ⨯
• Kazuyoshi Kawakami,

  Roles Validation

  Affiliation Department of Pharmacy, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan

  https://orcid.org/0000-0003-2023-1300

  ⨯
• Shuntaro Yada,

  Roles Methodology, Supervision

  Affiliation Nara Institute of Science and Technology, Nara, Japan

  ⨯
• Eiji Aramaki,

  Roles Methodology, Supervision

  Affiliation Nara Institute of Science and Technology, Nara, Japan

  https://orcid.org/0000-0003-0201-3609

  ⨯
• Hiroshi Yajima,

  Roles Resources

  Affiliation Mediaid Corporation, Tokyo, Japan

  ⨯
• Hayato Kizaki,

  Roles Conceptualization

  Affiliation Keio University Faculty of Pharmacy, Division of Drug Informatics, Tokyo, Japan

  ⨯
• Satoko Hori

  Roles Conceptualization, Funding acquisition, Resources, Supervision, Writing – review & editing

  * E-mail: hori-st@pha.keio.ac.jp

  Affiliation Keio University Faculty of Pharmacy, Division of Drug Informatics, Tokyo, Japan

  https://orcid.org/0000-0002-4596-5418

  ⨯