Bloodstream infection: Derivation and validation of a reliable and multidimensional prognostic score based on a machine learning model (BLISCO).

Abstract

Authors

• Marta Camici
  Department of Laboratory Science and Infectious Diseases, A. Gemelli University Polyclinic Foundation IRCCS, Rome, Italy; Clinical and Research Infectious Diseases Department, National Institute for Infectious Diseases Lazzaro Spallanzani IRCCS, Rome, Italy. Electronic address: marta.camici@inmi.it.
• Benedetta Gottardelli
  Department of Diagnostic Imaging, Oncological Radiotherapy, and Hematology, Catholic University of the Sacred Heart, Rome, Italy.
• Tommaso Novellino
  Department of Medicine and Surgery, Catholic University of the Sacred Heart, Rome, Italy.
• Carlotta Masciocchi
  Istituto di Radiologia, Universitá Cattolica del Sacro Cuore, Largo F.Vito 1, 00168 Rome, Italy.
• Silvia Lamonica
  Department of Laboratory Science and Infectious Diseases, A. Gemelli University Polyclinic Foundation IRCCS, Rome, Italy.
• Rita Murri
  Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma, Italy; Università Cattolica del Sacro Cuore- Dipartimento di Sicurezza e Bioetica Sede di Roma, Italy.

Keywords

External Resources