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pro vyhledávání: '"Padiya, Trupti"'
Interoperability issues concerning observational data have gained attention in recent times. Automated data integration is important when it comes to the scientific analysis of observational data from different sources. However, it is hampered by var
Externí odkaz:
http://arxiv.org/abs/2208.12480
Autor:
Sakor, Ahmad, Jozashoori, Samaneh, Niazmand, Emetis, Rivas, Ariam, Bougiatiotis, Kostantinos, Aisopos, Fotis, Iglesias, Enrique, Rohde, Philipp D., Padiya, Trupti, Krithara, Anastasia, Paliouras, Georgios, Vidal, Maria-Esther
In this paper, we present Knowledge4COVID-19, a framework that aims to showcase the power of integrating disparate sources of knowledge to discover adverse drug effects caused by drug-drug interactions among COVID-19 treatments and pre-existing condi
Externí odkaz:
http://arxiv.org/abs/2206.07375
Akademický článek
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Publikováno v:
ACM International Conference Proceeding Series; 10/21/2016, p51-58, 8p
Publikováno v:
2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA); 2015, p575-584, 10p
Publikováno v:
2015 IEEE Region 10 Symposium; 2015, p62-65, 4p
Publikováno v:
Distributed Computing & Internet Technology 11th International Conference, ICDCIT 2015, Bhubaneswar, India, February 5-8, 2015. Proceedings; 2015, p403-408, 6p
Publikováno v:
Distributed Computing & Internet Technology (9783642360701); 2013, p547-560, 14p
Autor:
Maso, Joan, Cobley, Andy, Tsiakos, Valantis, Tousert, Nikolaos, Theodoropoulos, Theodoros, Jirka, Simon, Schade, Sven, Matheus, Andreas, Tamascelli, Stefano, Klan, Friederike, Padiya, Trupti
Publikováno v:
University of Dundee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::dec0b676d31fb3624eb243f12462b8c4
https://discovery.dundee.ac.uk/en/publications/32679409-2bf6-4b70-a14a-51a42b03de85
https://discovery.dundee.ac.uk/en/publications/32679409-2bf6-4b70-a14a-51a42b03de85