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In this study, we apply text processing and machine learning techniques to this data set to analyze COVID-19’s impacts on mental health discourse as a potential proxy for changes in mental health needs.
In the setting of a quarantine, incidence rates rise for mood disorders including acute stress disorder, posttraumatic stress disorder (PTSD), major depressive disorder, and generalized anxiety disorder, as do rates of subclinical mental health deterioration [1].
J Med Internet Res 2020;22(10):e22635
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