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A predictive decision support system for coronavirus disease 2019 response management and medical logistic planning.
Atek, Sofiane; Bianchini, Filippo; De Vito, Corrado; Cardinale, Vincenzo; Novelli, Simone; Pesaresi, Cristiano; Eugeni, Marco; Mecella, Massimo; Rescio, Antonello; Petronzio, Luca; Vincenzi, Aldo; Pistillo, Pasquale; Giusto, Gianfranco; Pasquali, Giorgio; Alvaro, Domenico; Villari, Paolo; Mancini, Marco; Gaudenzi, Paolo.
Afiliación
  • Atek S; Department of Aerospace and Mechanical Engineering, Sapienza University of Rome, Rome, Italy.
  • Bianchini F; Telespazio S.p.A, Rome, Italy.
  • De Vito C; Department of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy.
  • Cardinale V; Department of Medico-Surgical Sciences and Biotechnologies, Sapienza University of Rome, Umberto I Policlinico of Rome, Rome, Italy.
  • Novelli S; Department of Aerospace and Mechanical Engineering, Sapienza University of Rome, Rome, Italy.
  • Pesaresi C; Department of Letters and Modern Cultures, Sapienza University of Rome, Rome, Italy.
  • Eugeni M; Department of Aerospace and Mechanical Engineering, Sapienza University of Rome, Rome, Italy.
  • Mecella M; Department of Computer, Control, and Management Engineering Antonio Ruberti, Sapienza University of Rome, Rome, Italy.
  • Rescio A; Telespazio S.p.A, Rome, Italy.
  • Petronzio L; Telespazio S.p.A, Rome, Italy.
  • Vincenzi A; Telespazio S.p.A, Rome, Italy.
  • Pistillo P; e-GEOS S.p.A, Rome, Italy.
  • Giusto G; e-GEOS S.p.A, Rome, Italy.
  • Pasquali G; e-GEOS S.p.A, Rome, Italy.
  • Alvaro D; Sapienza Information-Based Technology InnovaTion Center for Health (STITCH), Sapienza University of Rome, Rome, Italy.
  • Villari P; Department of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy.
  • Mancini M; Department of Letters and Modern Cultures, Sapienza University of Rome, Rome, Italy.
  • Gaudenzi P; Department of Aerospace and Mechanical Engineering, Sapienza University of Rome, Rome, Italy.
Digit Health ; 9: 20552076231185475, 2023.
Article en En | MEDLINE | ID: mdl-37545633
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Digit Health Año: 2023 Tipo del documento: Article País de afiliación: Italia
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 / Risk_factors_studies Idioma: En Revista: Digit Health Año: 2023 Tipo del documento: Article País de afiliación: Italia