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Can language features identify cognitive deficits in post-COVID-19 condition?
Long-COVID affects roughly 1.4 million Canadians, and results in debilitating symptoms that can last for more than a year. These include fatigue, cognitive- and communicative dysfunction, such as word-finding difficulties and trouble following conversations. These difficulties are subtle and not easily captured via standard cognitive testing.Based on studies in preclinical dementia and concussion, one effective way of identifying subtle deficits is through automated computational analysis of language samples (e.g., story retelling).This study aims to use automated machine learning methods to analyse and compare the language production of individuals with- and without long-COVID. It is the first known study to explicitly address communication needs in long-COVID.
Collaborators: Kathleen Fraser, Sonya Torreiter, Daisy Hamelinck
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