Prediction of Hemorrhagic Complication after Thrombolytic Therapy Based on Multimodal Data from Multiple Centers: An Approach to Machine Learning and System Implementation.

Cui, Shaoguo; Song, Haojie; Ren, Huanhuan; Wang, Xi; Xie, Zheng; Wen, Hao; Li, Yongmei

Cui, Shaoguo; Song, Haojie; Ren, Huanhuan; Wang, Xi; Xie, Zheng; Wen, Hao; Li, Yongmei.

Afiliação

Cui S; School of Computer and Information Science, Chongqing Normal University, Chongqing 401331, China.
Song H; School of Computer and Information Science, Chongqing Normal University, Chongqing 401331, China.
Ren H; Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
Wang X; Department of Radiology, Chongqing General Hospital, Chongqing 400013, China.
Xie Z; School of Economics, Peking University, Beijing 100871, China.
Wen H; School of Computer and Information Science, Chongqing Normal University, Chongqing 401331, China.
Li Y; School of Computer and Information Science, Chongqing Normal University, Chongqing 401331, China.

J Pers Med ; 12(12)2022 Dec 12.

Article em En | MEDLINE | ID: mdl-36556272

Palavras-chave

XGB; clinical decision support system; hemorrhagic complication; machine learning

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Pers Med Ano de publicação: 2022 Tipo de documento: Article

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