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Using Machine Learning Techniques to Aid Empirical Antibiotic Therapy Decisions in the Intensive Care Unit of a General Hospital in Greece.
Feretzakis, Georgios; Loupelis, Evangelos; Sakagianni, Aikaterini; Kalles, Dimitris; Martsoukou, Maria; Lada, Malvina; Skarmoutsou, Nikoletta; Christopoulos, Constantinos; Valakis, Konstantinos; Velentza, Aikaterini; Petropoulou, Stavroula; Michelidou, Sophia; Alexiou, Konstantinos.
Afiliación
  • Feretzakis G; School of Science and Technology, Hellenic Open University, 26335 Patras, Greece.
  • Loupelis E; IT Department, Sismanogleio General Hospital, 15126 Marousi, Greece.
  • Sakagianni A; Department of Quality Control, Research and Continuing Education, Sismanogleio General Hospital, 15126 Marousi, Greece.
  • Kalles D; IT Department, Sismanogleio General Hospital, 15126 Marousi, Greece.
  • Martsoukou M; Intensive Care Unit, Sismanogleio General Hospital, 15126 Marousi, Greece.
  • Lada M; School of Science and Technology, Hellenic Open University, 26335 Patras, Greece.
  • Skarmoutsou N; Microbiology Laboratory, Sismanogleio General Hospital, 15126 Marousi, Greece.
  • Christopoulos C; 2nd Internal Medicine Department, Sismanogleio General Hospital, 15126 Marousi, Greece.
  • Valakis K; Microbiology Laboratory, Sismanogleio General Hospital, 15126 Marousi, Greece.
  • Velentza A; 1st Internal Medicine Department, Sismanogleio General Hospital, 15126 Marousi, Greece.
  • Petropoulou S; Intensive Care Unit, Sismanogleio General Hospital, 15126 Marousi, Greece.
  • Michelidou S; Microbiology Laboratory, Sismanogleio General Hospital, 15126 Marousi, Greece.
  • Alexiou K; IT Department, Sismanogleio General Hospital, 15126 Marousi, Greece.
Antibiotics (Basel) ; 9(2)2020 Jan 31.
Article en En | MEDLINE | ID: mdl-32023854
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Aspecto: Patient_preference Idioma: En Revista: Antibiotics (Basel) Año: 2020 Tipo del documento: Article País de afiliación: Grecia
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Aspecto: Patient_preference Idioma: En Revista: Antibiotics (Basel) Año: 2020 Tipo del documento: Article País de afiliación: Grecia