Clinical narratives as a predictor for prognosticating functional outcomes after intracerebral hemorrhage.

Hung, Ling-Chien; Su, Ying-Ying; Sun, Jui-Ming; Huang, Wan-Ting; Sung, Sheng-Feng

Hung, Ling-Chien; Su, Ying-Ying; Sun, Jui-Ming; Huang, Wan-Ting; Sung, Sheng-Feng.

Afiliación

Hung LC; Division of Neurology, Department of Internal Medicine, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi City, Taiwan.
Su YY; Department of Radiology, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi City, Taiwan.
Sun JM; Section of Neurosurgery, Department of Surgery, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi City, Taiwan.
Huang WT; Clinical Medicine Research Center, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi City, Taiwan.
Sung SF; Division of Neurology, Department of Internal Medicine, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi City, Taiwan; Department of Beauty & Health Care, Min-Hwei Junior College of Health Care Management, Tainan, Taiwan. Electronic address: sfusng@cych.org.tw.

J Neurol Sci ; 453: 120807, 2023 Oct 15.

Article en En | MEDLINE | ID: mdl-37717279

Palabras clave

Deep learning; Intracerebral hemorrhage; Machine learning; Prognosis; Risk assessment

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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Neurol Sci Año: 2023 Tipo del documento: Article País de afiliación: Taiwán

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