Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Sven, Laur"'
Autor:
Siim Kurvits, Ainika Harro, Anu Reigo, Anne Ott, Sven Laur, Dage Särg, Ardi Tampuu, the Estonian Biobank Research Team, Kaur Alasoo, Jaak Vilo, Lili Milani, Toomas Haller, the PRECISE4Q consortium
Publikováno v:
European Journal of Medical Research, Vol 28, Iss 1, Pp 1-14 (2023)
Abstract Background Ischemic stroke (IS) is a major health risk without generally usable effective measures of primary prevention. Early warning signals that are easy to detect and widely available can save lives. Estonia has one nation-wide Electron
Externí odkaz:
https://doaj.org/article/91b631f5d36245ca9c561eb9c655b94f
Autor:
Sven Laur, Pille Pullonen-Raudvere
Publikováno v:
Cryptography, Vol 5, Iss 3, p 22 (2021)
This paper formalises the security of programmable secure computation focusing on simplifying security proofs of new algorithms for existing computation frameworks. Security of the frameworks is usually well established but the security proofs of the
Externí odkaz:
https://doaj.org/article/33b195dcbe9d486c8778b3fc3bdcc182
Publikováno v:
Cryptography, Vol 5, Iss 3, p 21 (2021)
In bioinformatics, genome-wide association studies (GWAS) are used to detect associations between single-nucleotide polymorphisms (SNPs) and phenotypic traits such as diseases. Significant differences in SNP counts between case and control groups can
Externí odkaz:
https://doaj.org/article/c8c5152db7be4cce98e6784a109819c4
Publikováno v:
Caring is Sharing – Exploiting the Value in Data for Health and Innovation ISBN: 9781643683881
Neural network language models, such as BERT, can be used for information extraction from medical texts with unstructured free text. These models can be pre-trained on a large corpus to learn the language and characteristics of the relevant domain an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72d3f7c24fdcefa85432416f4b36c954
https://doi.org/10.3233/shti230281
https://doi.org/10.3233/shti230281
Autor:
Marek Oja, Sirli Tamm, Kerli Mooses, Maarja Pajusalu, Harry-Anton Talvik, Anne Ott, Marianna Laht, Maria Malk, Marcus Lõo, Johannes Holm, Markus Haug, Hendrik Šuvalov, Dage Särg, Jaak Vilo, Sven Laur, Raivo Kolde, Sulev Reisberg
ObjectiveTo describe the reusable transformation process of electronic health records (EHR), claims, and prescriptions data into Observational Medical Outcome Partnership (OMOP) common data model (CDM), together with challenges faced and solutions im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b61d47e7bb61e5563fab157610a2b118
https://doi.org/10.1101/2023.02.16.23285697
https://doi.org/10.1101/2023.02.16.23285697
Autor:
Kristi Krebs, Jonas Bovijn, Neil Zheng, Maarja Lepamets, Jenny C. Censin, Tuuli Jürgenson, Dage Särg, Erik Abner, Triin Laisk, Yang Luo, Line Skotte, Frank Geller, Bjarke Feenstra, Wei Wang, Adam Auton, Soumya Raychaudhuri, Tõnu Esko, Andres Metspalu, Sven Laur, Dan M. Roden, Wei-Qi Wei, Michael V. Holmes, Cecilia M. Lindgren, Elizabeth J. Phillips, Reedik Mägi, Lili Milani, João Fadista, Michelle Agee, Stella Aslibekyan, Robert K. Bell, Katarzyna Bryc, Sarah K. Clark, Sarah L. Elson, Kipper Fletez-Brant, Pierre Fontanillas, Nicholas A. Furlotte, Pooja M. Gandhi, Karl Heilbron, Barry Hicks, David A. Hinds, Karen E. Huber, Ethan M. Jewett, Yunxuan Jiang, Aaron Kleinman, Keng-Han Lin, Nadia K. Litterman, Marie K. Luff, Jennifer C. McCreight, Matthew H. McIntyre, Kimberly F. McManus, Joanna L. Mountain, Sahar V. Mozaffari, Priyanka Nandakumar, Elizabeth S. Noblin, Carrie A.M. Northover, Jared O’Connell, Aaron A. Petrakovitz, Steven J. Pitts, G. David Poznik, J. Fah Sathirapongsasuti, Anjali J. Shastri, Janie F. Shelton, Suyash Shringarpure, Chao Tian, Joyce Y. Tung, Robert J. Tunney, Vladimir Vacic, Xin Wang, Amir S. Zare
Publikováno v:
The American Journal of Human Genetics. 107:612-621
Hypersensitivity reactions to drugs are often unpredictable and can be life threatening, underscoring a need for understanding their underlying mechanisms and risk factors. The extent to which germline genetic variation influences the risk of commonl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b449294124373a0265767122010de84
https://doi.org/10.1016/j.ajhg.2020.08.008
https://doi.org/10.1016/j.ajhg.2020.08.008
Autor:
Kadri Künnapuu, Solomon Ioannou, Kadri Ligi, Raivo Kolde, Sven Laur, Jaak Vilo, Peter R Rijnbeek, Sulev Reisberg
Publikováno v:
JAMIA Open
JAMIA Open, 5(1):ooac021. Oxford University Press
JAMIA Open, 5(1):ooac021. Oxford University Press
Objective To develop a framework for identifying temporal clinical event trajectories from Observational Medical Outcomes Partnership-formatted observational healthcare data. Materials and Methods A 4-step framework based on significant temporal even
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb2eeeebc0c90354b59d089dbf5c55c7
http://www.scopus.com/inward/record.url?scp=85142041274&partnerID=8YFLogxK
http://www.scopus.com/inward/record.url?scp=85142041274&partnerID=8YFLogxK
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031177149
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::324cf7b6d85173d777addce2a64ba530
https://doi.org/10.1007/978-3-031-17715-6_13
https://doi.org/10.1007/978-3-031-17715-6_13
Publikováno v:
SECRYPT
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07ace2a40b9c80f93a463b9e748c4458
https://doi.org/10.5220/0010530000002998
https://doi.org/10.5220/0010530000002998
Autor:
Jaak Vilo, Kadri Künnapuu, Kadri Ligi, Peter R. Rijnbeek, Sulev Reisberg, Sven Laur, Raivo Kolde, Solomon Ioannou
Publikováno v:
medRxiv
ObjectiveTo develop a framework for identifying prominent clinical event trajectories from OMOP-formatted observational healthcare data.MethodsA four-step framework based on significant temporal event pair detection is described and implemented as an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29fceb0cd9da012966301257109c48b1