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Osteoarthritis (OA) is a common disease in middle-aged and older Canadians attending primary care practitioners. As the Canadian population ages and with increasing obesity, OA will become an increasing burden for individuals and the health care system. Given the potential of Electronic Medical Record (EMR) data for surveillance of the population that is at high risk of or is diagnosed with OA, we will apply text mining method to investigate this problem further. In this project, we will develop an information extraction and processing pipeline to extract information about specific index joints to assess the prevalence and severity of OA related pain severity and mobility issues in the major joints of the leg (hip and knee).
Farhana Zulkernine;John Queenan;David Barber
Hasan Zafari;Austin Edward Carthy;Yuhao Chen;Mojtaba Moattari
Pfizer Canada Inc.
Computer science
Manufacturing
Queen's University
Accelerate
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