Research theme for competitive and other funds (3):
2025 - 2028 機械学習によるがん患者の症状評価システムの開発
2021 - 2023 自然言語処理を用いた身体的・精神的・社会的・スピリチュアルな苦痛の評価
2018 - 2021 A qualitative study of the positive impact of bereavement on bereaved families
Papers (11):
Kazuki Shimada, Satoru Tsuneto. Novel method for predicting nonvisible symptoms using machine learning in cancer palliative care. Scientific reports. 2023. 13. 1. 12088-12088
Megumi Kondo, Tomoki Kihira, Yukihiro Sakaguchi, Kazuki Shimada, Yuki Shirai, Keiko Tamura. Growth Experience Bereaved of a Spouse by Cancer: Relying on Merleau-Ponty's Reorganization of the Body Schemes. Omega. 2023. 302228231164859-302228231164859
Ayumi Kihara, Kazuki Shimada, Satoru Tsuneto. How Do We Taper and Discontinue Opioids in Cancer Patients? Considerations from the Activities of a Palliative Care Team at a University Hospital. Palliative medicine reports. 2021. 2. 1. 255-259
嶋田 和貴. 機械学習によるがん患者の症状評価システムの開発-Development of a symptom evaluation system for cancer patients using machine learning. Bio clinica = バイオクリニカ. 2025. 40. 10. 917-921