Your browser doesn't support javascript.
loading
CT Angiography Radiomics Combining Traditional Risk Factors to Predict Brain Arteriovenous Malformation Rupture: a Machine Learning, Multicenter Study.
Zhang, Shaosen; Wang, Junjie; Sun, Shengjun; Zhang, Qian; Zhai, Yuanren; Wang, Xiaochen; Ge, Peicong; Shi, Zhiyong; Zhang, Dong.
Afiliación
  • Zhang S; Department of Neurosurgery, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
  • Wang J; Department of Neurosurgery, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
  • Sun S; Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Zhang Q; Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Zhai Y; Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Wang X; Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Ge P; Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Shi Z; Department of Neurosurgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China.
  • Zhang D; Department of Neurosurgery, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China. zhangdong0660@aliyun.com.
Transl Stroke Res ; 2023 Jun 13.
Article en En | MEDLINE | ID: mdl-37311939
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Clinical_trials / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Transl Stroke Res Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Clinical_trials / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Transl Stroke Res Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos