Annie C Arnold, Richard Fleet, David Lim
Barriers and Facilitators to Point-of-Care Ultrasound Use in Rural Australia
International journal of environmental research and public health
study proposes way increasing dataset sizes machine learning tasks internetbased cognitive behavioral therapy pooling interventions end 1 examines similarities user behavior symptom data among online interventions patients depression social anxiety panic disorder 2 explores whether similarities suffice allow pooling data together resulting training data prediction intervention dropout total 6418 routine care patients internet psychiatry stockholm analyzed using 1 clustering 2 dropout prediction models latter prediction models trained individual interventions data compared trained three interventions pooled one dataset investigate results vary dataset size prediction repeated using small medium dataset sizes clustering analysis identified three distinct groups almost equally spread across interventions instead characterized different activity levels eight nine settings investigated pooling data improves prediction results compared models trained single intervention dataset confirmed models trained small datasets likely overestimate prediction results study reveals similar patterns patients depression social anxiety panic disorder regarding online activity intervention dropout work offers pooling different interventions data possible approach counter problem small dataset sizes psychological research