Machine learning-based prediction of symptomatic intracerebral hemorrhage after intravenous thrombolysis for stroke: a large multicenter study.

Wen, Rui; Wang, Miaoran; Bian, Wei; Zhu, Haoyue; Xiao, Ying; He, Qian; Wang, Yu; Liu, Xiaoqing; Shi, Yangdi; Hong, Zhe; Xu, Bing

Wen, Rui; Wang, Miaoran; Bian, Wei; Zhu, Haoyue; Xiao, Ying; He, Qian; Wang, Yu; Liu, Xiaoqing; Shi, Yangdi; Hong, Zhe; Xu, Bing.

Afiliação

Wen R; Shenyang Tenth People's Hospital, Shenyang, China.
Wang M; Affiliated Central Hospital of Shenyang Medical College, Shenyang Medical College, Shenyang, China.
Bian W; Shenyang First People's Hospital, Shenyang Medical College, Shenyang, China.
Zhu H; Shenyang First People's Hospital, Shenyang Medical College, Shenyang, China.
Xiao Y; Shenyang First People's Hospital, Shenyang Medical College, Shenyang, China.
He Q; Shenyang Tenth People's Hospital, Shenyang, China.
Wang Y; Shenyang Tenth People's Hospital, Shenyang, China.
Liu X; Shenyang Tenth People's Hospital, Shenyang, China.
Shi Y; Shenyang Tenth People's Hospital, Shenyang, China.
Hong Z; Shenyang First People's Hospital, Shenyang Medical College, Shenyang, China.
Xu B; Shenyang Tenth People's Hospital, Shenyang, China.

Front Neurol ; 14: 1247492, 2023.

Article em En | MEDLINE | ID: mdl-37928151

Palavras-chave

intravenous thrombolysis; machine learning; multicenter; prediction; stroke; symptomatic intracerebral hemorrhage

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Neurol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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