Your browser doesn't support javascript.
loading
Machine Learning for Predicting Individual Severity of Blepharospasm Using Diffusion Tensor Imaging.
Liu, Gang; Gao, Yanan; Liu, Ying; Guo, Yaomin; Yan, Zhicong; Ou, Zilin; Zhong, Linchang; Xie, Chuanmiao; Zeng, Jinsheng; Zhang, Weixi; Peng, Kangqiang; Lv, Qingwen.
Afiliação
  • Liu G; Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Gao Y; Guangdong Provincial Key Laboratory for Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou, China.
  • Liu Y; School of Biomedical Engineering, Southern Medical University, Guangzhou, China.
  • Guo Y; Department of Information, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
  • Yan Z; Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Ou Z; Guangdong Provincial Key Laboratory for Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou, China.
  • Zhong L; Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Xie C; Guangdong Provincial Key Laboratory for Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou, China.
  • Zeng J; Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Zhang W; Guangdong Provincial Key Laboratory for Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou, China.
  • Peng K; Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Lv Q; Guangdong Provincial Key Laboratory for Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou, China.
Front Neurosci ; 15: 670475, 2021.
Article em En | MEDLINE | ID: mdl-34054417
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article