A complexity fingerprint for the localization of the Epileptogenic Zone using machine learning and data-driven approaches
ABSTRACT : In this research, we sought to delineate the epileptogenic zone using a dataset from the Cleveland Clinic, encompassing 28 patients who successfully underwent resective surgery and had prior SEEG recordings from both ictal and interictal periods. From time-windowed segments of these recor...
- Autores:
-
Mantilla Ramos, Yorguin José
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2023
- Institución:
- Universidad de Antioquia
- Repositorio:
- Repositorio UdeA
- Idioma:
- eng
- OAI Identifier:
- oai:bibliotecadigital.udea.edu.co:10495/37371
- Acceso en línea:
- https://hdl.handle.net/10495/37371
- Palabra clave:
- Epilepsia
Epilepsy
Electroencefalografía
Electroencephalography
Aprendizaje automático
Machine Learning
Modelos Logísticos
Logistic Models
Zona epileptogénica
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-sa/2.5/co/