Rchr
J-GLOBAL ID：202101001307130890
Update date: Jun. 23, 2024
Shimada Kazuki
シマダ カズキ | Shimada Kazuki
Affiliation and department：
Job title：
Senior Lecturer
Research field (1)：
Internal medicine - General
Research theme for competitive and other funds (2)：
- 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
-
Shimada Kazuki, Goya Syo, Tsumori Teppei, Saijyo Mika, Higami Taizo, Tani Eriko, Takeoka Sawa, Kurata Kanako, Tanaka Ayako, Hamaguchi Masanari, et al. A case of reversible disturbance of consciousness following leptomeningeal metastases. Palliative Care Research. 2014. 9. 4. 528-532
-
Tsuyoshi Takahashi, Satoshi Serada, Maiko Ako, Minoru Fujimoto, Yasuaki Miyazaki, Rie Nakatsuka, Takayuki Ikezoe, Akihito Yokoyama, Takahiro Taguchi, Kazuki Shimada, et al. New findings of kinase switching in gastrointestinal stromal tumor under imatinib using phosphoproteomic analysis. International journal of cancer. 2013. 133. 11. 2737-43
ｍore...
MISC (100)：
-
嶋田和貴, 恒藤暁. 機械学習による知的障がい者の体調管理と受診支援. Palliative Care Research (Web). 2023. 18. Supplement
-
嶋田和貴, 恒藤暁. 機械学習とシミュレーションを用いたがん緩和ケアチーム活動の特徴量:ICE-S4. Palliative Care Research (Web). 2023. 18. Supplement
-
嶋田和貴, 恒藤暁. がん患者の症状評価における機械学習の説明性. Palliative Care Research (Web). 2023. 18. Supplement
-
嶋田和貴, 恒藤暁. Using machine learning and simulation to explore appropriate health resource allocation for cancer palliative care. 日本臨床腫瘍学会学術集会(CD-ROM). 2023. 20th
-
嶋田和貴, 恒藤暁. Using machine learning and simulation to explore appropriate health resource allocation for cancer palliative care. 日本呼吸器学会誌(Web). 2023. 12
ｍore...
Patents (1)：
Books (1)：
-
最新呼吸器内科・外科学
メディカルレビュー社 2019 ISBN:9784779223150
Return to Previous Page
