Kelsey Philpott-Robinson, Tennille Johnson, Leah Evans, Kylie Wales, Carl Leonard, Alison E Lane
Measurement of Self-regulation in Preschool and Elementary Children: A Scoping Review
Physical & occupational therapy in pediatrics
ecological momentary assessment ema holds promise providing insights daily life experiences studying mental health phenomena however commonly used mixedeffects linear statistical models fully utilize richness ultidimensional timevarying data ema yields recurrent neural networks rnns provide alternative data analytic method leverage information potentially improve prediction particularly nonnormally distributed outcomes part broader research study suicidal thoughts behavior people borderline personality disorder bpd eightyfour participants engaged ema data collection one week answering questions multiple times day suicidal ideation si stressful events coping strategy use affect rnns mixedeffects linear regression models mems trained used predict si root mean squared error rmse mean absolute percent error mape pseudor2 accuracy metric used compare si prediction accuracy two modeling methods rnns superior accuracy metrics full model rmse 341 mape 42 pseudor2 26 compared mems full model rmse 384 mape 56 pseudor2 16 importantly rnns showed significantly accurate prediction higher values si additionally rnns predicted significantly higher accuracy si scores participants depression diagnoses participants higher depression scores baseline ema study moderately sized sample rnns better able learn predict daily si compared mixedeffects models rnns considered option ema analysis