Zobrazeno 1 - 7
of 7
pro vyhledávání: '"observational health data sciences and informatics (ohdsi)"'
Autor:
Dukyong Yoon, Eun Kyoung Ahn, Man Young Park, Soo Yeon Cho, Patrick Ryan, Martijn J. Schuemie, Dahye Shin, Hojun Park, Rae Woong Park
Publikováno v:
Healthcare Informatics Research, Vol 22, Iss 1, Pp 54-58 (2016)
ObjectivesA distributed research network (DRN) has the advantages of improved statistical power, and it can reveal more significant relationships by increasing sample size. However, differences in data structure constitute a major barrier to integrat
Externí odkaz:
https://doaj.org/article/b4a6b18705a74fa1b8ea20a7483f4988
Autor:
Christian G. Reich, Osaid Alser, Kristin Kostka, Mengchun Gong, Clair Blacketer, Fredrik Nyberg, Sergio Fernandez Bertolin, Anthony G. Sena, Vignesh Subbian, Evan P. Minty, Marc A. Suchard, Thomas Falconer, David Vizcaya, Peter R. Rijnbeek, Anna Ostropolets, Carlos Areia, Albert Prats-Uribe, Lana Yin Hui Lai, Daniel R. Morales, Karthik Natarajan, Lin Zhang, Jennifer C E Lane, George Hripcsak, Martina Recalde, Michael E. Matheny, Jose D. Posada, Kristine E. Lynch, Seng Chan You, Aaron Abend, Karishma Shah, Waheed-Ul-Rahman Ahmed, Heba Alghoul, Jitendra Jonnagaddala, Eng Hooi Tan, Asieh Golozar, Yue Yang, Scott L. DuVall, Talita Duarte-Salles, Paula Casajust, Daniel Prieto-Alhambra, Dalia Dawoud, Matthew E. Spotnitz, Nigam H. Shah, Thamir M. Alshammari, Arani Vivekanantham, Patrick B. Ryan
Publikováno v:
Rheumatology (Oxford, England), 60(SI), SI37-SI50. Oxford University Press
Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona
Rheumatology (Oxford, England)
Rheumatology (Oxford, England), vol 60, iss SI
Rheumatology
Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona
Rheumatology (Oxford, England)
Rheumatology (Oxford, England), vol 60, iss SI
Rheumatology
Patients with autoimmune diseases were advised to shield to avoid COVID-19, but information on their prognosis is lacking. We characterised 30-day outcomes and mortality after hospitalisation with COVID-19 among patients with prevalent autoimmune dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0217f6b8f40e529fb1f8c0f95e8530a3
https://pure.eur.nl/en/publications/17e09549-5a55-449a-8ece-02dd03da9530
https://pure.eur.nl/en/publications/17e09549-5a55-449a-8ece-02dd03da9530
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Man Young Park, Patrick B. Ryan, Soo Yeon Cho, Martijn J. Schuemie, Eun Kyoung Ahn, Rae Woong Park, Hojun Park, Dahye Shin, Dukyong Yoon
Publikováno v:
Healthcare Informatics Research
Healthcare Informatics Research, Vol 22, Iss 1, Pp 54-58 (2016)
Healthcare Informatics Research, Vol 22, Iss 1, Pp 54-58 (2016)
Objectives A distributed research network (DRN) has the advantages of improved statistical power, and it can reveal more significant relationships by increasing sample size. However, differences in data structure constitute a major barrier to integra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52cb60acca67442e3c6ca841337cd38e
http://europepmc.org/articles/PMC4756059
http://europepmc.org/articles/PMC4756059
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Wang L; McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, TX, USA., Wen A; McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, TX, USA., Fu S; McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, TX, USA., Ruan X; McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, TX, USA., Huang M; McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, TX, USA., Li R; McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, TX, USA., Lu Q; McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, TX, USA., Williams AE; Clinical and Translational Science Institute Tufts Medical Center Boston US.; Institute for Clinical Research and Health Policy Studies Tufts Medical Center Boston US., Liu H; McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, TX, USA.
Publikováno v:
MedRxiv : the preprint server for health sciences [medRxiv] 2024 Aug 23. Date of Electronic Publication: 2024 Aug 23.