Predicting the Severity of Lockdown-Induced Psychiatric Symptoms with Machine Learning.

ABSTRACT: During the COVID-19 pandemic, an increase in the incidence of psychiatric disorders in the general population and an increase in the severity of symptoms in psychiatric patients have been reported. Anxiety and depression symptoms are the most commonly observed during large-scale dramatic events such as pandemics and wars, especially when these implicate an extended lockdown. The early detection of higher risk clinical and non-clinical individuals would help prevent the new onset and/or deterioration of these symptoms. This in turn would lead to the implementation of public policies aimed at protecting vulnerable populations during these dramatic contingencies, therefore optimising the effectiveness of interventions and saving the resources of national healthcare systems. We used a supervis

SUBMITTER: D'Urso G 

PROVIDER: S-EPMC9025309 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature