Your browser doesn't support javascript.
loading
A semi-supervised decision support system to facilitate antibiotic stewardship for urinary tract infections.
de Vries, Sjoerd; Ten Doesschate, Thijs; Totté, Joan E E; Heutz, Judith W; Loeffen, Yvette G T; Oosterheert, Jan Jelrik; Thierens, Dirk; Boel, Edwin.
Afiliación
  • de Vries S; Department of Information and Computing Sciences, Utrecht University, Princetonplein 5, 3584 CC, Utrecht, the Netherlands; Department of Digital Health, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, the Netherlands. Electronic address: s.devries1@uu.nl.
  • Ten Doesschate T; Department of Internal Medicine, Infectious Diseases, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, the Netherlands.
  • Totté JEE; Department of Medical Microbiology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, the Netherlands.
  • Heutz JW; Department of Medical Microbiology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, the Netherlands; Department of Rheumatology, Erasmus Medical Center, Dr. Molewaterplein 40, 3015 GD, Rotterdam, the Netherlands.
  • Loeffen YGT; Division of Pediatric Immunology and Infectious Diseases, Wilhelmina Children's Hospital Utrecht, Lundlaan 6, 3584 EA, Utrecht, the Netherlands.
  • Oosterheert JJ; Department of Internal Medicine, Infectious Diseases, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, the Netherlands.
  • Thierens D; Department of Information and Computing Sciences, Utrecht University, Princetonplein 5, 3584 CC, Utrecht, the Netherlands.
  • Boel E; Department of Medical Microbiology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, the Netherlands.
Comput Biol Med ; 146: 105621, 2022 07.
Article en En | MEDLINE | ID: mdl-35617725
Asunto(s)
Palabras clave
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Infecciones Urinarias / Programas de Optimización del Uso de los Antimicrobianos Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Comput Biol Med Año: 2022 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Infecciones Urinarias / Programas de Optimización del Uso de los Antimicrobianos Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Comput Biol Med Año: 2022 Tipo del documento: Article