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

Inclusion Criteria: * The infant is classified as high risk according to the machine learning-based risk prediction model developed in the first phase of the study. * The infant is planned to be discharged home from the Neonatal Intensive Care Unit of Başakşehir Çam and Sakura City Hospital. * The mother is 18 years of age or older. * The mother is the primary caregiver responsible for the infant's care. * The mother is able to read, write, and communicate in Turkish. * The mother has access to a smartphone and active internet connection, either mobile data or Wi-Fi. * The mother is able to use a smartphone and basic communication applications such as WhatsApp. * The mother voluntarily agrees to participate in the study and signs the informed consent form. Exclusion Criteria: * The infant is transferred to another center before completion of the study process or during the discharge period. * The infant dies during the study period. * The mother has a diagnosed cognitive or psychiatric condition that may prevent her from understanding the educational materials or managing the study process. * The mother has a visual or hearing impairment that may prevent her from following the video content. * Significant connection problems occur during the qualitative interview process that prevent completion of the interview. * The mother is unable to access or complete the mobile video education within the first 72 hours after discharge due to technical reasons. * The mother wishes to …