Mobile Video Education and Machine Learning-Based Risk Prediction in Neonatal Seizure Management

This mixed-methods study will develop a machine learning-based model to identify infants at high risk of seizure recurrence after discharge from the neonatal intensive care unit. Based on qualitative interviews with mothers, a mobile video-supported education program will be developed. In the randomized controlled phase, mothers of high-risk infants will be assigned to intervention and control groups to evaluate the effect of the education on knowledge and anxiety levels during follow-up.

NCT Number	NCT07695623
Lead Sponsor	Istanbul Saglik Bilimleri University
Conditions	Seizure Recurrence
Enrollment	60 participants
Start Date	2026-07-04
Primary Completion	2028-12-31 (estimated)
Study Completion	2028-12-31 (estimated)
Updated on ClinicalTrials.gov	2026-07-10