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

Starting soon · Not applicable

Conditions studied: Seizure Recurrence

In brief

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.

Key facts

Study ID
NCT07695623
Run by
Istanbul Saglik Bilimleri University
People needed
60
Starts
2026-07-04
Expected to finish
2028-12-31
Last updated by the study team
2026-07-10

Who can join

Age: 18 and older. Sex: female. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Full record on ClinicalTrials.gov

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