Výsledky vyhledávání - Mahmoud Azimaee

What makes great data documentation? Autor Mark Smith, Mahmoud Azimaee

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Federated Learning for cross-jurisdictional analyses: A case study. Autor Mahmoud Azimaee, Lisa M. Lix

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Deep Learning and NLP For Knowledge Extraction from Laboratory Reports Autor Branson Chen, Elham Dolatabadi, Jeffrey Kwong, Mahmoud Azimaee

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Leveraging Fuzzy Match: Building an Automated Record Linkage Template in SAS Dataflux Autor Charlotte Ma, Gangamma Kalappa, Nan Wang, Mahmoud Azimaee, Winnie Shen

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From Probabilistic to Fuzzy Matching Record Linkage: A promising Transition Autor Mahmoud Azimaee, Gangamma Kalappa, Charlotte Ma, Nan Wang, Winnie Shen

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Linking National Immigration Data to Provincial Repositories: The case of Canada Autor Marcelo Urquia, Randy Walld, Susitha Wanigaratne, Nkiruka Eze, Mahmoud Azimaee, James Ted McDonald, Astrid Guttmann

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Describing the Linkages of the Citizenship and Immigration Canada Permanent Resident Data and Vital Statistics—Death Registry to Ontario’s Administrative Health Database Autor Astrid Guttmann, Maria Chiu, Michael Lebenbaum, Kelvin Lam, Nelson Chong, Mahmoud Azimaee, Karey Iron, Doug Manuel

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Modernization of Record Linkage At ICES Autor Mahmoud Azimaee, Nelson Chong, Charlotte Ma, Gordon Fehringer, Gangamma Kalappa, Nan Wang, Cheng Qian, Marian Vermeulen

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ICES: Data, Discovery, Better Health Autor Michael J Schull, Mahmoud Azimaee, Marcel Marra, Rosario G Cartagena, Marian J Vermeulen, Minnie M Ho, Astrid Guttmann

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Validation study of health administrative data algorithms to identify individuals experiencing homelessness and estimate population prevalence of homelessness in Ontario, Canada Autor Lucie Richard, Stephen W Hwang, Cheryl Forchuk, Rosane Nisenbaum, Kristin Clemens, Kathryn Wiens, Richard Booth, Mahmoud Azimaee, Salimah Z Shariff

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Integrating population-wide laboratory testing data with physician audit-and-feedback reports to improve glycemic and cholesterol control among Ontarians with diabetes Autor Michael Campitelli, Michael Paterson, Mahmoud Azimaee, Anna Greenberg, P. Alison Paprica, Michael Schull, J. Charles Victor, Matthew Kumar, Baiju Shah, Jack Tu, Rick Glazier

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Designing and Implementing a Privacy Preserving Record Linkage Protocol Autor Tom Gee, Brendan Behan, Shannon Lefaivre, Mahmoud Azimaee, Moyez Dharsee, Khaled El Emam, Julie Yang, Anthony Vaccarino, Kenneth Evans, J. Charles Victor, Elizabeth Theriault

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MASK: A Success Story for An International Collaboration 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

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Using A Privacy Preserving Record Linkage to Facilitate an Ongoing Crosswalk Between Research and Health Administrative Databases Autor Brendan Behan, Tom Gee, Susan Gilbert Evans, Moyez Dharsee, Ken Evans, Mahmoud Azimaee, Kelley Ross, Rosario Cartagena, Charles Victor, Lindsay Green-Noble, Tom Mikkelsen, Kirk Nylen

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Validating a novel deterministic privacy-preserving record linkage between administrative & clinical data: applications in stroke research Autor Alisia Southwell, Susan Bronskill, Tom Gee, Brendan Behan, Susan Evans, Tom Mikkelsen, Elizabeth Theriault, Kirk Nylen, Shannon Lefaivre, Nelson Chong, Mahmoud Azimaee, Natasa Tusevljak, Douglas Lee, Richard Swartz

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Development of a Concept Dictionary to Standardize Definitions and Classifications While Working With a Common Repository of Linked Administrative Data Autor Erin Macdonald, Anna Chu, Michelle Cooper, Ruth Croxford, Raquel Duchen, Kinwah Fung, Sima Gandhi, Jodi Gatley, Fiona Jin, Wayne Khuu, Alex Kopp, Laura Maclagan, Joan Porter, Robert Stumpo, Ali Syed Zaidi, Mahmoud Azimaee

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Pivoting data and analytic capacity to support Ontario’s COVID-19 response Autor Hannah Chung, Mahmoud Azimaee, Susan E Bronskill, Rosario Cartagena, Astrid Guttmann, Minnie M Ho, Lisa Ishiguro, Jeffrey C Kwong, J Michael Paterson, Sujitha Ratnasingham, Laura Rosella, Michael J Schull, Marian J Vermeulen, J Charles Victor

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Describing the linkage between administrative social assistance and health care databases in Ontario, Canada Autor Claire de Oliveira, Evgenia Gatov, Laura Rosella, Simon Chen, Rachel Strauss, Mahmoud Azimaee, Elizabeth Paterno, Astrid Guttmann, Ministry of Children, Community and Social Services-ICES Working Group, Nelson Chong, Peter Ionescu, Sean Ji, Alexander Kopp, Annie Lan, Charlotte Ma, Miranda Pring, Priyanka Raj, Steven Ryan, Refik Saskin, Fiona Wong

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Outcomes of the Health Data Research Network (HDRN) Canada and Canadian Longitudinal Study on Aging (CLSA) Partnership Autor Anne Hayes, Sophie Hogeveen, Jodi Gatley, Andrew Costa, Lauren Griffith, Aaron Jones, Sarah Youssef, Parminder Raina, Andrea Gruneir, Carrie Anne Whyte, Carla Hovey, Marie-Chantal Ethier, Donna Curtis Maillet, Mahmoud Azimaee, Erik Youngson, Tim Choi, Lindsey Gilbert, Magda Nunes De Melo, Lindsay Stewart, Kendra Lester, Katelyn Frizzell, Robyn Kydd, Mary-Ann Standing, Charles Burchill, Dave Towns, Jean-Francois Cantin

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The CanPath-HDRN Canada Collaboration: Enabling Multi-jurisdictional Research in Canada Autor Jennifer Brooks, Anne Hayes, Riaz Alvi, Mahmoud Azimaee, Parveen Bhatti, Sheraz Cheema, Tim Choi, Nouar ElKhair, Megan Fleming, Noah Frank, Katelyn Frizzell, Jodi Gatley, Lindsey Gilbert, Simon Gravel, Shandra Harman, Jason Hicks, Vikki Ho, Jordan Hunt, Stefana Jovanovska, Victoria Kirsh, Robyn Kydd, Carmen La, Kendra Lester, Guillaume Lettre, Magda Nunes De Melo, Mary-Ann Standing, Lindsay Stewart, Donna Turner, Robin Urquhart, Jennifer Vena, Eric Youngson, Philip Awadalla

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