[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"seizure-recurrence\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:seizure-recurrence":26},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,1,0,[8],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":4,"eligibilityCriteria":15,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":4,"enrollmentInfo":18,"targetDuration":4,"studyType":21,"phases":22,"briefSummary":24,"conditions":25,"keywords":27,"overallStatus":34,"whyStopped":4,"lastUpdateSubmitDate":35,"lastUpdatePostDateStruct":36,"startDateStruct":39,"completionDateStruct":41,"leadSponsor":43,"locationsCount":4},"100646185","mobile-video-education-and-machine-learning-based-risk-prediction-in-neonatal-seizure-management-100646185",false,"NCT07695623","Mobile Video Education and Machine Learning-Based Risk Prediction in Neonatal Seizure Management","Machine Learning-Based Risk Prediction in Neonatal Seizure Management and the Effect of Mobile Video-Supported Education on Parental Knowledge and Anxiety Levels: A Mixed-Methods Study","Inclusion Criteria:\n\n* The infant is classified as high risk according to the machine learning-based risk prediction model developed in the first phase of the study.\n* The infant is planned to be discharged home from the Neonatal Intensive Care Unit of Başakşehir Çam and Sakura City Hospital.\n* The mother is 18 years of age or older.\n* The mother is the primary caregiver responsible for the infant's care.\n* The mother is able to read, write, and communicate in Turkish.\n* The mother has access to a smartphone and active internet connection, either mobile data or Wi-Fi.\n* The mother is able to use a smartphone and basic communication applications such as WhatsApp.\n* The mother voluntarily agrees to participate in the study and signs the informed consent form.\n\nExclusion Criteria:\n\n* The infant is transferred to another center before completion of the study process or during the discharge period.\n* The infant dies during the study period.\n* The mother has a diagnosed cognitive or psychiatric condition that may prevent her from understanding the educational materials or managing the study process.\n* The mother has a visual or hearing impairment that may prevent her from following the video content.\n* Significant connection problems occur during the qualitative interview process that prevent completion of the interview.\n* The mother is unable to access or complete the mobile video education within the first 72 hours after discharge due to technical reasons.\n* The mother wishes to withdraw from the study at any stage.","FEMALE","18 Years",{"count":19,"type":20},60,"ESTIMATED","INTERVENTIONAL",[23],"NA","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.",[26],"Seizure Recurrence",[28,29,30,31,32,33],"Risk prediction","Mobile video-supported education","Machine learning","Maternal knowledge","Neonatal intensive care unit","Antiseizure medication management","NOT_YET_RECRUITING","2026-07-06",{"date":37,"type":38},"2026-07-10","ACTUAL",{"date":40,"type":20},"2026-07-04",{"date":42,"type":20},"2028-12-31",{"name":44,"class":45},"Istanbul Saglik Bilimleri University","OTHER"]