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pro vyhledávání: '"Tran Quoc Bao"'
Autor:
Padmanabhan S; BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow., Tran TQB; BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow., Dominiczak AF; BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow.
Publikováno v:
Circulation research [Circ Res] 2021 Apr 02; Vol. 128 (7), pp. 1100-1118. Date of Electronic Publication: 2021 Apr 01.
Autor:
Clea du Toit, Tran Quoc Bao Tran, Neha Deo, Sachin Aryal, Stefanie Lip, Robert Sykes, Ishan Manandhar, Aristeidis Sionakidis, Leah Stevenson, Harsha Pattnaik, Safaa Alsanosi, Maria Kassi, Ngoc Le, Maggie Rostron, Sarah Nichol, Alisha Aman, Faisal Nawaz, Dhruven Mehta, Ramakumar Tummala, Linsay McCallum, Sandeep Reddy, Shyam Visweswaran, Rahul Kashyap, Bina Joe, Sandosh Padmanabhan
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 12, Iss 9 (2023)
Background Machine learning (ML) is pervasive in all fields of research, from automating tasks to complex decision‐making. However, applications in different specialities are variable and generally limited. Like other conditions, the number of stud
Externí odkaz:
https://doaj.org/article/c1e94186e48847178652172687bad02f
Akademický článek
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Publikováno v:
Circulation Research. 128:1100-1118
Hypertension remains the largest modifiable cause of mortality worldwide despite the availability of effective medications and sustained research efforts over the past 100 years. Hypertension requires transformative solutions that can help reduce the
Publikováno v:
Big Data and Cognitive Computing; Volume 6; Issue 1; Pages: 11
With the rapid growth of internet data, knowledge graphs (KGs) are considered as efficient form of knowledge representation that captures the semantics of web objects. In recent years, reasoning over KG for various artificial intelligence tasks have
Publikováno v:
Big Data & Cognitive Computing; Mar2022, Vol. 6 Issue 1, p11, 21p