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A Machine Learning Model Predicts the Outcome of SRS for Residual Arteriovenous Malformations after Partial Embolization: A Real-World Clinical Obstacle.
Meng, Xiangyu; Gao, Dezhi; He, Hongwei; Sun, Shibin; Liu, Ali; Jin, Hengwei; Li, Youxiang.
Afiliação
  • Meng X; Department of Interventional Neuroradiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China; Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Gao D; Department of Interventional Neuroradiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China; Department of Gamma-Knife Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • He H; Department of Interventional Neuroradiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China; Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Sun S; Department of Interventional Neuroradiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China; Department of Gamma-Knife Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Liu A; Department of Interventional Neuroradiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China; Department of Gamma-Knife Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Jin H; Department of Interventional Neuroradiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China; Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China. Electronic address: jinhengwei1987@163.com.
  • Li Y; Department of Interventional Neuroradiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China; Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; Beijing Engineering Research Center, Beijing, China.
World Neurosurg ; 163: e73-e82, 2022 07.
Article em En | MEDLINE | ID: mdl-35276397
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Malformações Arteriovenosas Intracranianas / Radiocirurgia Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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PubMed Links
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Malformações Arteriovenosas Intracranianas / Radiocirurgia Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article