Post-Stroke Infections: Insights from Big Data Using Clinical Data Warehouse (CDW).

Jung, Moa; Park, Hae-Yeon; Park, Geun-Young; Lee, Jong In; Kim, Youngkook; Kim, Yeo Hyung; Lim, Seong Hoon; Yoo, Yeun Jie; Im, Sun

Jung, Moa; Park, Hae-Yeon; Park, Geun-Young; Lee, Jong In; Kim, Youngkook; Kim, Yeo Hyung; Lim, Seong Hoon; Yoo, Yeun Jie; Im, Sun.

Afiliação

Jung M; Department of Rehabilitation Medicine, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea.
Park HY; Department of Rehabilitation Medicine, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea.
Park GY; Department of Rehabilitation Medicine, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea.
Lee JI; Department of Rehabilitation Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea.
Kim Y; Department of Rehabilitation Medicine, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea.
Kim YH; Department of Rehabilitation Medicine, Uijeongbu St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea.
Lim SH; Department of Rehabilitation Medicine, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea.
Yoo YJ; Department of Rehabilitation Medicine, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea.
Im S; Department of Rehabilitation Medicine, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea.

Antibiotics (Basel) ; 12(4)2023 Apr 12.

Article em En | MEDLINE | ID: mdl-37107102

Palavras-chave

big data; electronic health record; functional level (modified Barthel); infection; pneumonia; risk factors; steroids; stroke; urinary tract infection

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Contexto em Saúde: 1_ASSA2030 Problema de saúde: 1_sistemas_informacao_saude Tipo de estudo: Clinical_trials / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Antibiotics (Basel) Ano de publicação: 2023 Tipo de documento: Article

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