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Addressing the Challenges of Applying Machine Learning for Predicting Mental Disorders and Their Prognosis Using Two Case Studies
DownloadSpring 2019
Ghoreishiamiri, Seyedehreyhaneh
One of the principal applications of machine learning in psychiatry is to build automated tools that can help clinicians predict the diagnosis and prognosis of mental disorders using available data from patients’ profiles. Here, in two different studies, we investigate ways to use machine learn-...
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Spring 2024
Mental disorders are one of the leading health problems affecting Canadian children and youth. Teachers are considered frontline workers in child mental health due to the amount of time children spend at school. Given the high prevalence of mental disorders, and the amount of time teachers spend...