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Machine learning-based prediction of post-stroke cognitive status using electroencephalography-derived brain network attributes.
Lee, Minwoo; Hong, Yuseong; An, Sungsik; Park, Ukeob; Shin, Jaekang; Lee, Jeongjae; Oh, Mi Sun; Lee, Byung-Chul; Yu, Kyung-Ho; Lim, Jae-Sung; Kang, Seung Wan.
Afiliação
  • Lee M; Department of Neurology, Hallym University Sacred Heart Hospital, Hallym Neurological Institute, Hallym University College of Medicine, Anyang, Republic of Korea.
  • Hong Y; iMedisync, Inc., Seoul, Republic of Korea.
  • An S; Department of Neurology, Hwahong Hospital, Suwon, Republic of Korea.
  • Park U; iMedisync, Inc., Seoul, Republic of Korea.
  • Shin J; iMedisync, Inc., Seoul, Republic of Korea.
  • Lee J; Department of Neurology, Hallym University Sacred Heart Hospital, Hallym Neurological Institute, Hallym University College of Medicine, Anyang, Republic of Korea.
  • Oh MS; Department of Neurology, Hallym University Sacred Heart Hospital, Hallym Neurological Institute, Hallym University College of Medicine, Anyang, Republic of Korea.
  • Lee BC; Department of Neurology, Hallym University Sacred Heart Hospital, Hallym Neurological Institute, Hallym University College of Medicine, Anyang, Republic of Korea.
  • Yu KH; Department of Neurology, Hallym University Sacred Heart Hospital, Hallym Neurological Institute, Hallym University College of Medicine, Anyang, Republic of Korea.
  • Lim JS; Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Kang SW; iMedisync, Inc., Seoul, Republic of Korea.
Front Aging Neurosci ; 15: 1238274, 2023.
Article em En | MEDLINE | ID: mdl-37842126
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Aging Neurosci Ano de publicação: 2023 Tipo de documento: Article País de publicação: Suíça
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Aging Neurosci Ano de publicação: 2023 Tipo de documento: Article País de publicação: Suíça