Rchr
J-GLOBAL ID:201901003138466714   Update date: Sep. 16, 2022

Kyoko Nakazawa

Kyoko Nakazawa
Affiliation and department:
Research theme for competitive and other funds  (1):
  • 2019 - 2021 費用対効果分析の実用上の問題点に対する統計学理論による解決策の検討
Papers (2):
  • Saito S, Nakazawa K, Nagahashi M, Ishikawa T, Akazawa K. Cost-effectiveness of BRCA1/2 mutation profiling to target olaparib use in patients with metastatic breast cancer. Personalized medicine. 2019. 16. 6. 439-448
  • Mitsuhiro Hayashi, Kyoko Nakazawa, Yoshie Hasegawa, Jun Horiguchi, Daishu Miura, Takashi Ishikawa, Shintaro Takao, Seung Jim Kim, Kazuhiko Yamagami, Masaru Miyashita, et al. Risk Analysis for Chemotherapy-induced Nausea and Vomiting (CINV) in Patients Receiving FEC100 Treatment. Anticancer research. 2019. 39. 8. 4305-4314
MISC (11):
Lectures and oral presentations  (3):
  • 消化器外科手術患者における術後感染の早期検知をめざした機械学習と統計モデルの検討
    (医療情報学連合大会プログラム・抄録集 2018)
  • Development of machine learning models and statistics models to estimate infection positive for surgery patients
    (医療情報学連合大会論文集(CD-ROM) 2018)
  • 乳癌の術前化学療法に対するゾレドロン酸の費用対効果分析
    (日本医療情報学会春季学術大会プログラム・抄録集 2018)
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