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Commentary: Deep learning approaches applied to routinely collected health data: future directions
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2022
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Abstract
Journal Article Commentary: Deep learning approaches applied to routinely collected health data: future directions Get access Laura C Rosella Laura C Rosella Dalla Lana School of Public Health, Division of Epidemiology, University of Toronto, ON, CanadaDepartment of Laboratory Medicine and Pathobiology, Temerty Faculty of Medicine, University of Toronto, ON, CanadaInstitute for Better Health, Trillium Health Partners, Mississauga, ON, CanadaICES, Toronto, ON, CanadaVector Institute, Toronto, ON, Canada Corresponding author. Dalla Lana School of Public Health, University of Toronto, 155 College Street, ON M5T 3M7, Canada. E-mail: laura.rosella@utoronto.ca https://orcid.org/0000-0003-4867-869X Search for other works by this author on: Oxford Academic PubMed Google Scholar International Journal of Epidemiology, Volume 51, Issue 3, June 2022, Pages 931–933, https://doi.org/10.1093/ije/dyac064 Published: 04 April 2022 Article history Received: 26 December 2021 Editorial decision: 13 March 2022 Accepted: 24 March 2022 Published: 04 April 2022
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