Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Branson Chen"'
Validating pertussis data measures using electronic medical record data in Ontario, Canada 1986–2016
Autor:
Shilo H. McBurney, Jeffrey C. Kwong, Kevin A. Brown, Frank Rudzicz, Branson Chen, Elisa Candido, Natasha S. Crowcroft
Publikováno v:
Vaccine: X, Vol 15, Iss , Pp 100408- (2023)
Background: Pertussis is a reportable disease in many countries, but ascertainment bias has limited data accuracy. This study aims to validate pertussis data measures using a reference standard that incorporates different suspected case severities, a
Externí odkaz:
https://doaj.org/article/879231e3c3664e9fb660605e9a56cfc0
Autor:
Elham Dolatabadi, Branson Chen, Sarah A Buchan, Alex Marchand Austin, Mahmoud Azimaee, Allison McGeer, Samira Mubareka, Jeffrey C Kwong
Publikováno v:
JMIR AI, Vol 2, p e44835 (2023)
BackgroundWith the growing volume and complexity of laboratory repositories, it has become tedious to parse unstructured data into structured and tabulated formats for secondary uses such as decision support, quality assurance, and outcome analysis.
Externí odkaz:
https://doaj.org/article/39081d335ecd4a82baf6c15ac374f274
Autor:
Carolina Barnett, Elisa Candido, Branson Chen, Priscila Pequeno, Patricia C. Parkin, Karen Tu
Publikováno v:
Orphanet Journal of Rare Diseases, Vol 17, Iss 1, Pp 1-8 (2022)
Abstract Background There is limited population-based data on Neurofibromatosis type 1 (NF1) in North America. We aimed to develop and validate algorithms using administrative health data and electronic medical records (EMRs) to identify individuals
Externí odkaz:
https://doaj.org/article/3cee17bb5ad24204ba49ef33d5d2b376
Publikováno v:
International Journal of Population Data Science, Vol 5, Iss 5 (2020)
Introduction Due to the ever-growing volume and complexity of clinical data, it has become a tedious task to extract information from data for secondary uses such as decision support, quality assurance, and outcome analysis. Recently, there have been
Externí odkaz:
https://doaj.org/article/588e097f9b4f4f0f8b0e3d79477e5fcc
Autor:
Mahmoud Azimaee, Gangamma Kalappa, Nikola Milosevic, Goran Nenadic, Hesam Dadafarin, Mahshid Yassaie, Branson Chen, Sean Ji, Daniella Barron, Elisa Candido, Cheng Qian, Marian Vermeulen
Publikováno v:
International Journal of Population Data Science, Vol 5, Iss 5 (2020)
Introduction A significant amount of valuable information in Electronic Health Records (EHR) such as laboratory test results or echocardiogram interpretations is embedded in lengthy free-text fields. Often patients’ personal information is also inc
Externí odkaz:
https://doaj.org/article/7212312305bc4ddea2ffb536cc04dc1a
Publikováno v:
Journal of Experimental & Clinical Cancer Research, Vol 37, Iss 1, Pp 1-11 (2018)
Abstract Background While conventional chemotherapy is effective at eliminating the bulk of leukemic cells, chemotherapy resistance in acute myeloid leukemia (AML) is a prevalent problem that hinders conventional therapies and contributes to disease
Externí odkaz:
https://doaj.org/article/6699a2a302f9407cbf46e00b3082d800
Autor:
David E Goertz, Margarita Todorova, Omid Mortazavi, Vlad Agache, Branson Chen, Raffi Karshafian, Kullervo Hynynen
Publikováno v:
PLoS ONE, Vol 7, Iss 12, p e52307 (2012)
Ultrasound stimulated microbubbles (USMB) are being investigated for their potential to promote the uptake of anticancer agents into tumor tissue by exploiting their ability to enhance microvascular permeability. At sufficiently high ultrasound trans
Externí odkaz:
https://doaj.org/article/e17b69902d50464ca9bebbecb2ce6402
Autor:
Laura C. Maclagan, Mohamed Abdalla, Daniel A. Harris, Therese A. Stukel, Branson Chen, Elisa Candido, Richard H. Swartz, Andrea Iaboni, R. Liisa Jaakkimainen, Susan E. Bronskill
Publikováno v:
Journal of Healthcare Informatics Research. 7:42-58
Autor:
Shilo H. McBurney, Jeffrey C. Kwong, Kevin A. Brown, Frank Rudzicz, Branson Chen, Elisa Candido, Natasha S. Crowcroft
Publikováno v:
Annals of epidemiology. 77
Pertussis surveillance remains essential in Canada, but ascertainment bias limits the accuracy of surveillance data. Introducing other sources to improve detection has highlighted the importance of validation. However, challenges arise due to low pre
Autor:
Laura C Maclagan, Mohamed Abdalla, Daniel A Harris, Branson Chen, Elisa Candido, Richard H Swartz, Andrea Iaboni, Therese A Stukel, Liisa Jaakkimainen, Susan E Bronskill
Publikováno v:
Alzheimer's & Dementia. 17