文献
J-GLOBAL ID:202102288278305787
整理番号:21A0293811
敗血症3のMIMIC-III患者の30日死亡率の予測:XGboostを用いた機械学習アプローチ【JST・京大機械翻訳】
Predicting 30-days mortality for MIMIC-III patients with sepsis-3: a machine learning approach using XGboost
著者 (10件):
Hou Nianzong
(Department of Hand and Foot Surgery, Zibo Central Hospital, Shandong First Medical University, Zibo, China)
,
Li Mingzhe
(Independent researcher, Leeds, UK)
,
He Lu
(Institute of Medicine and Nursing, Hubei University of Medicine, Shiyan, China)
,
Xie Bing
(Department of Hand and Foot Surgery, Zibo Central Hospital, Shandong First Medical University, Zibo, China)
,
Wang Lin
(Department of Critical Care Medicine, Zibo Central Hospital, Shandong First Medical University , Zibo, China)
,
Zhang Rumin
(Department of Critical Care Medicine, Zibo Central Hospital, Shandong First Medical University , Zibo, China)
,
Yu Yong
(Department of Critical Care Medicine, Zibo Central Hospital, Shandong First Medical University , Zibo, China)
,
Sun Xiaodong
(Fengnan District Maternal and Child Health Care Hospital of Tangshan City, Tangshan, China)
,
Pan Zhengsheng
(Department of Urology Surgery, Zibo Central Hospital, Shandong First Medical University , Zibo, China)
,
Wang Kai
(Department of Critical Care Medicine, Zibo Central Hospital, Shandong First Medical University , Zibo, China)
資料名:
Journal of Translational Medicine (Web)
(Journal of Translational Medicine (Web))
巻:
18
号:
1
ページ:
1-14
発行年:
2020年
JST資料番号:
U7330A
ISSN:
1479-5876
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)