Integrating clinical, genomic, metabolomic and dietary data through machine learning to improve our understanding of their influences on blood pressure regulation

被引：0
作者：
Louca, Panayiotis [1 ]
Tran, Tran Q. B. [2 ]
du Toit, Clea [2 ]
Christofidou, Paraskevi [1 ]
Spector, Tim D. [1 ]
Mangino, Massimo [1 ,3 ]
Suhre, Karsten [4 ,5 ]
Padmanabhan, Sandosh [2 ]
Menni, Cristina [1 ]
机构：
[1] Kings Coll London, London, England
[2] Univ Glasgow, Inst Cardiovasc & Med Sci, Glasgow, Lanark, Scotland
[3] Guys & St Thomas Fdn Trust, NIHR Biomed Res Ctr, London, England
[4] Weill Cornell Med Qatar, Doha, Qatar
[5] Weill Cornell Medd, New York, NY USA
来源：
JOURNAL OF HUMAN HYPERTENSION | 2022年 / 36卷 / SUPPL 1期
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D O I：
暂无
中图分类号：
R6 [外科学];
学科分类号：
1002 ; 100210 ;
摘要：
O-2
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收藏
页码：1 / 2
页数：2
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