Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Cameron Taheri"'
Autor:
Abirami Kirubarajan, Andrew Lam, Amy Yu, Cameron Taheri, Shawn Khan, Claire Sethuram, Vikita Mehta, Nancy Olivieri
Publikováno v:
Journal of Family and Reproductive Health, Vol 15, Iss 3 (2021)
Objective: The objective of our study is to characterize the knowledge, information sources, and institutional trust of patients regarding medication use in pregnancy. Materials and methods: We conducted a review of three databases: MEDLINE, EMBASE,
Externí odkaz:
https://doaj.org/article/b022e1f8540a40d48bddfae1cf3b1136
Autor:
Abirami Kirubarajan, Cameron Taheri, Xinglin Li, Andrew C L Lam, Sam Taheri, Nancy F Olivieri
Publikováno v:
BMJ Open, Vol 11, Iss 4 (2021)
Background There is a high prevalence of financial conflicts of interest (COI) between physicians and industry.Objectives To conduct a systematic review with meta-analysis examining the completeness of self-reported financial COI disclosures by physi
Externí odkaz:
https://doaj.org/article/0a760f4de30f4b578afb1c92b2d4ca05
Autor:
Cameron Taheri, Reenika Aggarwal, Nicole Golda, Roger Buckley, Matthew Yau, Abirami Kirubarajan, Andrew C L Lam
Publikováno v:
The Journal of Maternal-Fetal & Neonatal Medicine. 35:5282-5290
Renal stones are a common cause of non-obstetrical abdominal pain in pregnant women. Though the management of renal stones in pregnancy is challenging, it remains unclear how the incidence of kidne...
Autor:
Juan Pablo Diaz Martinez, Cameron Taheri, Prabjit Ajrawat, Ismail Sari, Nigil Haroon, Zahi Touma
Publikováno v:
International Journal of Rheumatic Diseases. 23:728-743
To review the effect of tumor necrosis factor-alpha inhibitor (TNFi) therapies on radiographic progression in ankylosing spondylitis (AS) patients as evaluated by the modified Stoke Ankylosing Spondylitis Spine Score (mSASSS). Pubmed, MEDLINE, EMBASE
Autor:
Xinglin Li, Sam Taheri, Cameron Taheri, Andrew C L Lam, Abirami Kirubarajan, Nancy F. Olivieri
Publikováno v:
BMJ Open
BMJ Open, Vol 11, Iss 4 (2021)
BMJ Open, Vol 11, Iss 4 (2021)
BackgroundThere is a high prevalence of financial conflicts of interest (COI) between physicians and industry.ObjectivesTo conduct a systematic review with meta-analysis examining the completeness of self-reported financial COI disclosures by physici
Autor:
Farid Foroutan, Anthony O. Gramolini, Heather J. Ross, Patrick R. Lawler, Husam Abdel-Qadir, Sung Min Cho, Cameron Taheri, Peter C. Austin, Douglas S. Lee, Davide Chicco, Bo Wang, Filio Billia, Slava Epelman, George Tomlinson
Background: Machine learning (ML) methods are increasingly used in addition to conventional statistical modelling (CSM) for predicting readmission and mortality in patients with myocardial infarction (MI). However, the two approaches have not been sy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c220e6df6cf3956fe94c600b93eb65a
https://hdl.handle.net/10281/431159
https://hdl.handle.net/10281/431159
Publikováno v:
The Journal of rheumatology. 48(2)
Objective.Lupus nephritis (LN) may lead to endstage kidney disease (ESKD) in 22% of patients over a period of 15 years, with the risk being particularly higher in diffuse proliferative forms. The rate of kidney function decline varies. However, a cat
Autor:
Cameron Taheri, Peter C. Austin, Bo Wang, Douglas S. Lee, Slava Epelman, Cassandra Freitas, Davide Chicco, Husam Abdel-Qadir, George Tomlinson, Filio Billia, Heather J. Ross, Patrick R. Lawler, Sung Min Cho, Anthony O. Gramolini
Publikováno v:
Journal of the American College of Cardiology. 75:3538
While there is increasing interest in using ML to develop predictive models, ML methods have not been systematically compared to CSM (e.g., logistic regression [LR] or Cox regression). We conducted a systematic literature review of studies comparing
Publikováno v:
Journal of the American College of Cardiology. 71:A1869