2026-08-20T00:02:26Zhttps://gredos.usal.es/oai/request
oai:gredos.usal.es:10366/1663242025-07-04T00:01:24Zcom_10366_122575com_10366_4512com_10366_3823col_10366_134243
Gestión del Repositorio Documental de la Universidad de Salamanca author Zurdo-Tabernero, Marco author Canal-Alonso, Ángel author Prieta Pintado, Fernando de la author Rodríguez González, Sara author Prieto Tejedor, Javier author Corchado, Juan Manuel 2025-07-03T10:13:41Z 2025-07-03T10:13:41Z 2023-12-15 Zurdo-Tabernero, Marco, Canal-Alonso, Ángel, de la Prieta, Fernando, Rodríguez, Sara, Prieto, Javier and Corchado, Juan Manuel. "An overview of machine learning and deep learning techniques for predicting epileptic seizures" Journal of Integrative Bioinformatics, vol. 20, no. 4, 2023, pp. 20230002. https://doi.org/10.1515/jib-2023-0002 http://hdl.handle.net/10366/166324 10.1515/jib-2023-0002 1613-4516 [EN]Epilepsy is a neurological disorder (the third most common, following stroke and migraines). A key aspect of its diagnosis is the presence of seizures that occur without a known cause and the potential for new seizures to occur. Machine learning has shown potential as a cost-effective alternative for rapid diagnosis. In this study, we review the current state of machine learning in the detection and prediction of epileptic seizures. The objective of this study is to portray the existing machine learning methods for seizure prediction. Internet bibliographical searches were conducted to identify relevant literature on the topic. Through cross-referencing from key articles, additional references were obtained to provide a comprehensive overview of the techniques. As the aim of this paper aims is not a pure bibliographical review of the subject, the publications here cited have been selected among many others based on their number of citations. To implement accurate diagnostic and treatment tools, it is necessary to achieve a balance between prediction time, sensitivity, and specificity. This balance can be achieved using deep learning algorithms. The best performance and results are often achieved by combining multiple techniques and features, but this approach can also increase computational requirements. eng Attribution-NonCommercial-NoDerivatives 4.0 Internacional Seizure prediction Machine learning Epilepsy Electroencephalogram An overview of machine learning and deep learning techniques for predicting epileptic seizures info:eu-repo/semantics/article TElDRU5DSUEgREUgREVSRUNIT1MgREUgQVVUT1IgTk8gRVhDTFVTSVZBCgpQYXJhIHF1ZSBlbCBSZXBvc2l0b3JpbyBkZSBsYSBVbml2ZXJzaWRhZCBkZSBTYWxhbWFuY2EgcHVlZGEgcmVwcm9kdWNpciB5IGNvbXVuaWNhciBww7pibGljYW1lbnRlIHN1IGRvY3VtZW50byAobWVkaWFudGUgc3UgcHVlc3RhIGEgZGlzdHJpYnVjacOzbiBlbiBlbCBwcm9waW8gcmVwb3NpdG9yaW8pIGVzIG5lY2VzYXJpbyBsYSBhY2VwdGFjacOzbiBkZSB1bmEgc2VyaWUgZGUgdMOpcm1pbm9zLiBMYXMgY29uZGljaW9uZXMgZGUgbGEgbGljZW5jaWEgbm8gZXhjbHVzaXZhIHF1ZSBsb3MgYXV0b3JlcyBkZWJlbiBhY2VwdGFyIGFsIGhhY2VyIGF1dG9hcmNoaXZvIGVuIEdSRURPUyBzb24gbGFzIHNpZ3VpZW50ZXM6CgoxLiBBY2VwdGFuZG8gZXN0YSBsaWNlbmNpYSwgdXN0ZWQgLCBlbC9sYSBhdXRvci9hIGdhcmFudGl6YSBhIGxhIFVuaXZlcnNpZGFkIGRlIFNhbGFtYW5jYSBlbCBkZXJlY2hvIG5vIGV4Y2x1c2l2byBkZSBhcmNoaXZhciwgcmVwcm9kdWNpciwgY29udmVydGlyIChjb21vIHNlIGRlZmluZSBtw6FzIGFiYWpvKSB5IGNvbXVuaWNhciBzdSBkb2N1bWVudG8gbXVuZGlhbG1lbnRlIGVuIGZvcm1hdG8gZWxlY3Ryw7NuaWNvLgoKMi4gRWwgYXV0b3IgYWNlcHRhIHF1ZSBsYSBVbml2ZXJzaWRhZCBkZSBTYWxhbWFuY2EgcHVlZGEgY29uc2VydmFyIG3DoXMgZGUgdW5hIGNvcGlhIGRlIGVzdGUgZG9jdW1lbnRvIHksIHNpbiBhbHRlcmFyIHN1IGNvbnRlbmlkbywgY29udmVydGlybG8gYSBjdWFscXVpZXIgZm9ybWF0byBkZSBmaWNoZXJvLCBtZWRpbyBvIHNvcG9ydGUsIHBhcmEgcHJvcMOzc2l0b3MgZGUgc2VndXJpZGFkLCBwcmVzZXJ2YWNpw7NuIHkgYWNjZXNvLgoKMy4gRWwgZGVwb3NpdGFyaW8gZGVjbGFyYSBxdWUgZWwgZG9jdW1lbnRvIGVzIHVuIHRyYWJham8gb3JpZ2luYWwgc3V5byB5L28gcXVlIHRpZW5lIGVsIGRlcmVjaG8gcGFyYSBvdG9yZ2FyIGxvcyBkZXJlY2hvcyBjb250ZW5pZG9zIGVuIGVzdGEgbGljZW5jaWEuIFRhbWJpw6luIGRlY2xhcmEgcXVlIHN1IGRvY3VtZW50byBubyBpbmZyaW5nZSwgZW4gdGFudG8gZW4gY3VhbnRvIGxlIHNlYSBwb3NpYmxlIHNhYmVyLCBsb3MgZGVyZWNob3MgZGUgYXV0b3IgZGUgbmluZ3VuYSBvdHJhIHBlcnNvbmEgbyBlbnRpZGFkLgoKNC4gU2kgZWwgZG9jdW1lbnRvIGNvbnRpZW5lIG1hdGVyaWFsZXMgZGUgbG9zIGN1YWxlcyBubyB0aWVuZSBsb3MgZGVyZWNob3MgZGUgYXV0b3IsIGRlY2xhcmEgcXVlIGhhIG9idGVuaWRvIGVsIHBlcm1pc28gc2luIHJlc3RyaWNjacOzbiBkZWwgcHJvcGlldGFyaW8gZGUgbG9zIGRlcmVjaG9zIGRlIGF1dG9yIHBhcmEgb3RvcmdhciBhIGxhIFVuaXZlcnNpZGFkIGRlIFNhbGFtYW5jYSBsb3MgZGVyZWNob3MgcmVxdWVyaWRvcyBwb3IgZXN0YSBsaWNlbmNpYSwgeSBxdWUgZXNlIG1hdGVyaWFsIGN1eW9zIGRlcmVjaG9zIHNvbiBkZSB0ZXJjZXJvcyBlc3TDoSBjbGFyYW1lbnRlIGlkZW50aWZpY2FkbyB5IHJlY29ub2NpZG8gZW4gZWwgdGV4dG8gbyBjb250ZW5pZG8gZGVsIGRvY3VtZW50byBlbnRyZWdhZG8uCgo1LiBTaSBlbCBkb2N1bWVudG8gc2UgYmFzYSBlbiB1bmEgb2JyYSBxdWUgaGEgc2lkbyBwYXRyb2NpbmFkYSBvIGFwb3lhZGEgcG9yIHVuYSBhZ2VuY2lhIHUgb3JnYW5pemFjacOzbiBkaWZlcmVudGUgZGUgbGEgVW5pdmVyc2lkYWQgZGUgU2FsYW1hbmNhLCBzZSBwcmVzdXBvbmUgcXVlIHNlIGhhIGN1bXBsaWRvIGNvbiBjdWFscXVpZXIgZGVyZWNobyBkZSByZXZpc2nDs24gdSBvdHJhcyBvYmxpZ2FjaW9uZXMgcmVxdWVyaWRhcyBwb3IgZXN0ZSBjb250cmF0byBvIGFjdWVyZG8uCgo2LiBMYSBVbml2ZXJzaWRhZCBkZSBTYWxhbWFuY2EgaWRlbnRpZmljYXLDoSBjbGFyYW1lbnRlIHN1L3Mgbm9tYnJlL3MgY29tbyBlbC9sb3MgYXV0b3IvZXMgbyB0aXR1bGFyL2VzIGRlIGxvcyBkZXJlY2hvcyBkZWwgZG9jdW1lbnRvLCB5IG5vIGhhcsOhIG5pbmd1bmEgYWx0ZXJhY2nDs24gZGUgc3UgZG9jdW1lbnRvIGRpZmVyZW50ZSBhIGxhcyBwZXJtaXRpZGFzIGVuIGVzdGEgbGljZW5jaWEuIAoKU2kgZXN0YXMgY29uZGljaW9uZXMgbm8gc29uIGFjZXB0YWRhcyBwb3IgZWwgYXV0b3IsIG5vIGVzIHBvc2libGUgZGVwb3NpdGFyIG5pbmfDum4gZG9jdW1lbnRvLgoKU2kgdW4gYXV0b3IgZXN0w6EgaW50ZXJlc2FkbyBlbiBtb2RpZmljYXIgdW4gdHJhYmFqbyBxdWUgaGF5YSBzaWRvIGRlcG9zaXRhZG8gZW4gR1JFRE9TLCBkZWJlIHBvbmVyc2UgZW4gY29udGFjdG8gY29uIGxvcyBhZG1pbmlzdHJhZG9yZXMgZGUgR1JFRE9TIChyZXBvc2l0b3Jpb0B1c2FsLmVzKS4K URL https://gredos.usal.es/bitstream/10366/166324/1/BISITE_ZurdoTaberneroM_MLDLEpilepticSeizures.pdf File MD5 d776e2fb4aa1bc6951481d5d40cba891 405517 application/pdf BISITE_ZurdoTaberneroM_MLDLEpilepticSeizures.pdf URL https://gredos.usal.es/bitstream/10366/166324/4/BISITE_ZurdoTaberneroM_MLDLEpilepticSeizures.pdf.txt File MD5 af283fcf64e8a632332c421937be77aa 29443 text/plain BISITE_ZurdoTaberneroM_MLDLEpilepticSeizures.pdf.txt