文献
J-GLOBAL ID:201702249362240308
整理番号:17A1707358
ST上昇心筋梗塞の女性における院内死亡率のリスク予測モデル:機械学習アプローチ【Powered by NICT】
Risk prediction model for in-hospital mortality in women with ST-elevation myocardial infarction: A machine learning approach
著者 (5件):
Mansoor Hend
(Department of Health Services Research, University of Florida, College of Public Health, Gainesville, FL, USA)
,
Elgendy Islam Y.
(Division of Cardiovascular Medicine, Department of Medicine, Gainesville, FL, USA)
,
Segal Richard
(Department of Pharmaceutical Outcomes and Policy, College of Pharmacy, Gainesville, FL, USA)
,
Bavry Anthony A.
(Division of Cardiovascular Medicine, Department of Medicine, Gainesville, FL, USA)
,
Bian Jiang
(Department of Health Outcomes and Policy, College of Medicine, University of Florida, Gainesville, FL, USA)
資料名:
Heart & Lung
(Heart & Lung)
巻:
46
号:
6
ページ:
405-411
発行年:
2017年
JST資料番号:
E0857B
ISSN:
0147-9563
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)