Development of a Multivariable Seizure Likelihood Assessment Based on Clinical Information and Short Autonomic Activity Recordings for Children With Epilepsy.

Vieluf, Solveig; Cantley, Sarah; Jackson, Michele; Zhang, Bo; Bosl, William J; Loddenkemper, Tobias

Vieluf, Solveig; Cantley, Sarah; Jackson, Michele; Zhang, Bo; Bosl, William J; Loddenkemper, Tobias.

Afiliación

Vieluf S; Division of Epilepsy and Clinical Neurophysiology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts; Institute of Sports Medicine, Paderborn University, Paderborn, Germany. Electronic address: solveig.vieluf@gmail.com.
Cantley S; Division of Epilepsy and Clinical Neurophysiology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts.
Jackson M; Division of Epilepsy and Clinical Neurophysiology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts.
Zhang B; Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts.
Bosl WJ; Computational Health Informatics Program, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts; Health Informatics Program, University of San Francisco, San Francisco, California.
Loddenkemper T; Division of Epilepsy and Clinical Neurophysiology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts.

Pediatr Neurol ; 148: 118-127, 2023 Nov.

Article en En | MEDLINE | ID: mdl-37703656

Palabras clave

Clinical data; Pediatric patients; Seizure forecasting; Supervised learning; Wearables

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Pediatr Neurol Asunto de la revista: NEUROLOGIA / PEDIATRIA Año: 2023 Tipo del documento: Article Pais de publicación: Estados Unidos

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