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Graph-theory based degree centrality combined with machine learning algorithms can predict response to treatment with antiepileptic medications in children with epilepsy.
Wang, Xueyu; Hu, Tian; Yang, Qi; Jiao, Dongmei; Yan, Yibing; Liu, Libo.
Afiliación
  • Wang X; Department of Pediatrics, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250021, China; Department of Pediatrics, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China. Electronic address: wangxuey
  • Hu T; Department of Radiology, Yanan University Affiliated Hospital, China.
  • Yang Q; Department of Radiology, Affiliated Hospital of Shaanxi University of Traditional Chinese Medicine, China.
  • Jiao D; Department of Internal Medicine, The Second Affiliated Hospital of Shandong Traditional Chinese Medicine University, Jinan, China.
  • Yan Y; Department of Pediatrics, The First Affiliated Hospital of Shandong First Medical University, Jinan, China.
  • Liu L; Department of Cardiology, The Second Affiliated Hospital of Shandong First Medical University, Taian, China. Electronic address: liboliu2007@126.com.
J Clin Neurosci ; 91: 276-282, 2021 Sep.
Article en En | MEDLINE | ID: mdl-34373040
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Epilepsia Tipo Ausencia / Aprendizaje Automático Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Child / Humans Idioma: En Revista: J Clin Neurosci Asunto de la revista: NEUROLOGIA Año: 2021 Tipo del documento: Article
Texto completo
Imprimir
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PubMed Links
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Epilepsia Tipo Ausencia / Aprendizaje Automático Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Child / Humans Idioma: En Revista: J Clin Neurosci Asunto de la revista: NEUROLOGIA Año: 2021 Tipo del documento: Article