文献
J-GLOBAL ID:202102237368487242
整理番号:21A1151034
新規SNPを用いた機械学習モデルは冠動脈疾患重症度の予測強化を示す【JST・京大機械翻訳】
A Machine Learning Model Utilizing a Novel SNP Shows Enhanced Prediction of Coronary Artery Disease Severity
著者 (9件):
Pattarabanjird Tanyaporn
(Cardiovascular Research Center, University of Virginia, Charlottesville, VA 22908, USA)
,
Pattarabanjird Tanyaporn
(Division of Cardiovascular Medicine, Department of Medicine, University of Virginia, Charlottesville, VA 22908, USA)
,
Cress Corban
(Cardiovascular Research Center, University of Virginia, Charlottesville, VA 22908, USA)
,
Nguyen Anh
(Division of Cardiology, Duke University School of Medicine, Durham, NC 27710, USA)
,
Taylor Angela
(Cardiovascular Research Center, University of Virginia, Charlottesville, VA 22908, USA)
,
Taylor Angela
(Division of Cardiovascular Medicine, Department of Medicine, University of Virginia, Charlottesville, VA 22908, USA)
,
Bekiranov Stefan
(Department of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, VA 22908, USA)
,
McNamara Coleen
(Cardiovascular Research Center, University of Virginia, Charlottesville, VA 22908, USA)
,
McNamara Coleen
(Division of Cardiovascular Medicine, Department of Medicine, University of Virginia, Charlottesville, VA 22908, USA)
資料名:
Genes (Web)
(Genes (Web))
巻:
11
号:
12
ページ:
1446
発行年:
2020年
JST資料番号:
U7194A
ISSN:
2073-4425
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
スイス (CHE)
言語:
英語 (EN)