Prospective Evaluation of Probabilistic Predictions of Epileptic Seizure Risk Using the EPIDAY Tool
NCT07068919 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 50
Last updated 2025-09-15
Summary
Studies suggest the existence of a pre-critical state preceding the onset of an epileptic seizure. Identifying these states from self-reported prodromal symptoms, combined with machine learning algorithms, could help anticipate seizures.
Conditions
Interventions
- BEHAVIORAL
-
Seizure diary
collection of a seizure diary during 3 months
- BEHAVIORAL
-
Questionnaries
Daily self-assessment via the Epiday application during 3 months
Sponsors & Collaborators
-
Assistance Publique - Hôpitaux de Paris
lead OTHER
Study Design
- Allocation
- NA
- Purpose
- OTHER
- Masking
- NONE
- Model
- SINGLE_GROUP
Eligibility
- Min Age
- 18 Years
- Max Age
- 65 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2025-10-31
- Primary Completion
- 2028-01-31
- Completion
- 2028-01-31
Countries
- France
Study Locations
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