University of Basel Reports Findings in Machine Learning (Exploring correlates of high psychiatric inpatient utilization in Switzerland: a descriptive and machine learning analysis).

A study conducted at the University of Basel in Switzerland explored the factors associated with high psychiatric inpatient utilization. The research found that the number of unmet patient needs was a significant correlate of the number of days of psychiatric inpatient treatment. This suggests that addressing unmet patient needs could potentially reduce unnecessary hospitalizations or lead to more tailored psychiatric treatments. The study used various statistical models but found that psychiatric, psychological, and social/demographic characteristics only explained a small percentage of the variance in high utilization behavior. [Extracted from the article]