3 papers
cs.LG2026
EngageTriBoost: Predictive Modeling of User Engagement in Digital Mental Health Intervention Using Explainable Machine Learning
Ha Na Cho, Daniel Eisenberg, Cheryl King +1
Mental health challenges among young adults, are on the rise, necessitating effective solutions such as digital mental health interventions (DMHIs). Despite their promise, DMHIs fa…
cs.LG2026
What Drives Length of Stay After Elective Spine Surgery? Insights from a Decade of Predictive Modeling
Ha Na Cho, Seungmin Jeong, Yawen Guo +3
Objective: Predicting length of stay after elective spine surgery is essential for optimizing patient outcomes and hospital resource use. This systematic review synthesizes computa…
cs.CY2025
Barriers to Digital Mental Health Services among College Students
Ha Na Cho, Kyuha Jung, Daniel Eisenberg +2
This qualitative study explores barriers to utilization of digital mental health Intervention (DMHI) among college students. Data are from a large randomized clinical trial of an i…