Seizure forecasting using machine learning models trained by seizure diaries.

Gleichgerrcht, Ezequiel; Dumitru, Mircea; Hartmann, David A; Munsell, Brent C; Kuzniecky, Ruben; Bonilha, Leonardo; Sameni, Reza

Gleichgerrcht, Ezequiel; Dumitru, Mircea; Hartmann, David A; Munsell, Brent C; Kuzniecky, Ruben; Bonilha, Leonardo; Sameni, Reza.

Afiliação

Gleichgerrcht E; Department of Neurology, Medical University of South Carolina, Charleston, SC, United States of America.
Dumitru M; Department of Biomedical Informatics, School of Medicine, Emory University, Atlanta, GA, United States of America.
Hartmann DA; Department of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States of America.
Munsell BC; Department of Computer Science, University of North Carolina, Chapel Hill, NC, United States of America.
Kuzniecky R; School of Medicine at Hofstra/Northwell, Hempstead, NY, United States of America.
Bonilha L; Department of Neurology, School of Medicine, Emory University, Atlanta, GA, United States of America.
Sameni R; Department of Biomedical Informatics, School of Medicine, Emory University, Atlanta, GA, United States of America.

Physiol Meas ; 43(12)2022 12 14.

Article em En | MEDLINE | ID: mdl-36541513

Assuntos

Epilepsia; Qualidade de Vida; Humanos; Teorema de Bayes; Convulsões/diagnóstico; Aprendizado de Máquina; Eletroencefalografia

Palavras-chave

Bayesian inference; machine learning; refractory epilepsy; seizure forecasting

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Qualidade de Vida / Epilepsia Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Physiol Meas Assunto da revista: BIOFISICA / ENGENHARIA BIOMEDICA / FISIOLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

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