Your browser doesn't support javascript.
loading
Derivation and validation of a new prediction model for sudden unexpected death in epilepsy based on a longitudinal prospective population-based cohort.
Liu, Qiang; Tan, Bofei; Zhang, Jie; Jin, Yanzi; Lei, Pingping; Wang, Xu; Li, Mengyun; Qin, Yameng; Zhang, Qing.
Afiliación
  • Liu Q; Department of Neurology, General Hospital of Ningxia Medical University, Ningxia Key Laboratory of Cerebrocranial Diseases, Incubation Base of National Key Laboratory, Yinchuan 750004, Ningxia Province, China; Graduate College of Ningxia Medical University, Yinchuan 750004, Ningxia Province, China.
  • Tan B; Graduate College of Ningxia Medical University, Yinchuan 750004, Ningxia Province, China.
  • Zhang J; Graduate College of Ningxia Medical University, Yinchuan 750004, Ningxia Province, China.
  • Jin Y; Department of Neurology, General Hospital of Ningxia Medical University, Ningxia Key Laboratory of Cerebrocranial Diseases, Incubation Base of National Key Laboratory, Yinchuan 750004, Ningxia Province, China.
  • Lei P; Ningxia Center for Disease Prevention and Control, Yinchuan 750004, Ningxia Province, China.
  • Wang X; Department of Neurology, General Hospital of Ningxia Medical University, Ningxia Key Laboratory of Cerebrocranial Diseases, Incubation Base of National Key Laboratory, Yinchuan 750004, Ningxia Province, China.
  • Li M; Graduate College of Ningxia Medical University, Yinchuan 750004, Ningxia Province, China.
  • Qin Y; Graduate College of Ningxia Medical University, Yinchuan 750004, Ningxia Province, China.
  • Zhang Q; Department of Neurology, General Hospital of Ningxia Medical University, Ningxia Key Laboratory of Cerebrocranial Diseases, Incubation Base of National Key Laboratory, Yinchuan 750004, Ningxia Province, China. Electronic address: nxzhangqing@aliyun.com.
Epilepsy Behav ; 147: 109446, 2023 Oct.
Article en En | MEDLINE | ID: mdl-37757716
Palabras clave
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Epilepsy Behav Asunto de la revista: CIENCIAS DO COMPORTAMENTO / NEUROLOGIA Año: 2023 Tipo del documento: Article País de afiliación: China
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Epilepsy Behav Asunto de la revista: CIENCIAS DO COMPORTAMENTO / NEUROLOGIA Año: 2023 Tipo del documento: Article País de afiliación: China