Your browser doesn't support javascript.
loading
Machine learning model for predicting ciprofloxacin resistance and presence of ESBL in patients with UTI in the ED.
Lee, Hyun-Gyu; Seo, Youngho; Kim, Ji Hye; Han, Seung Baik; Im, Jae Hyoung; Jung, Chai Young; Durey, Areum.
Afiliación
  • Lee HG; Department of Medical Education and Medical Humanities, College of Medicine, Inha University, Incheon, Republic of Korea.
  • Seo Y; Department of Emergency Medicine, College of Medicine, Inha University Hospital, Inha University, 27, Inhang-ro, Jung-Gu, Incheon, 22332, Republic of Korea.
  • Kim JH; Department of Emergency Medicine, College of Medicine, Inha University Hospital, Inha University, 27, Inhang-ro, Jung-Gu, Incheon, 22332, Republic of Korea.
  • Han SB; Department of Emergency Medicine, College of Medicine, Inha University Hospital, Inha University, 27, Inhang-ro, Jung-Gu, Incheon, 22332, Republic of Korea.
  • Im JH; Department of Internal Medicine, College of Medicine, Inha University, Incheon, Republic of Korea.
  • Jung CY; Biomedical Research Institute, Inha University Hospital, Incheon, Republic of Korea.
  • Durey A; Department of Emergency Medicine, College of Medicine, Inha University Hospital, Inha University, 27, Inhang-ro, Jung-Gu, Incheon, 22332, Republic of Korea. areum.durey@gmail.com.
Sci Rep ; 13(1): 3282, 2023 02 25.
Article en En | MEDLINE | ID: mdl-36841917
Asunto(s)
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Infecciones Urinarias / Antiinfecciosos Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Sci Rep Año: 2023 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Infecciones Urinarias / Antiinfecciosos Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Sci Rep Año: 2023 Tipo del documento: Article