研究者
J-GLOBAL ID:202201010817233208
更新日: 2024年08月15日
富田 啓介
TOMITA KEISUKE
所属機関・部署:
競争的資金等の研究課題 (2件):
- 2015 - 2017 頭部外傷における予後予測のためのbiomarkerの検討
- 敗血症患者におけるcapillary refill time(CRT)の定量的測定と臨床的意義の解明
論文 (16件):
-
Takeo Kurita, Takehiko Oami, Yoko Tochigi, Keisuke Tomita, Takaki Naito, Kazuaki Atagi, Shigeki Fujitani, Taka-Aki Nakada. Machine learning algorithm for predicting 30-day mortality in patients receiving rapid response system activation: A retrospective nationwide cohort study. Heliyon. 2024. 10. 11. e32655
-
Masayoshi Shinozaki, Daiki Saito, Keisuke Tomita, Taka-Aki Nakada, Yukihiro Nomura, Toshiya Nakaguchi. Usability evaluation of a glove-type wearable device for efficient biometric collection during triage. Scientific reports. 2024. 14. 1. 9874-9874
-
Yosuke Hayashi, Takashi Shimazui, Keisuke Tomita, Tadanaga Shimada, Rie E Miura, Taka-Aki Nakada. Associations between fluid overload and outcomes in critically ill patients with acute kidney injury: a retrospective observational study. Scientific reports. 2023. 13. 1. 17410-17410
-
Kaoru Shimada-Sammori, Tadanaga Shimada, Rie E Miura, Rui Kawaguchi, Yasuo Yamao, Taku Oshima, Takehiko Oami, Keisuke Tomita, Koichiro Shinozaki, Taka-Aki Nakada. Machine learning algorithms for predicting days of high incidence for out-of-hospital cardiac arrest. Scientific reports. 2023. 13. 1. 9950-9950
-
Yoichi Yoshida, Yosuke Hayashi, Tadanaga Shimada, Noriyuki Hattori, Keisuke Tomita, Rie E Miura, Yasuo Yamao, Shino Tateishi, Yasuo Iwadate, Taka-Aki Nakada. Prehospital stroke-scale machine-learning model predicts the need for surgical intervention. Scientific reports. 2023. 13. 1. 9135-9135
もっと見る
学歴 (3件):
- 2013 - 2017 千葉大学 大学院 医学研究院
- 2001 - 2007 千葉大学 医学部
- 2000 - 2001 京都大学 経済学部
委員歴 (1件):
- 2023/09 - 現在 日本集中治療医学会 Rapid Response System検討委員会
前のページに戻る