Your browser doesn't support javascript.
loading
Testing of Coding Algorithms for Inflammatory Bowel Disease Identification, as Indication for Use of Biological Drugs, Using a Claims Database from Southern Italy.
Ingrasciotta, Ylenia; Isgrò, Valentina; Foti, Saveria Serena; Ientile, Valentina; Fontana, Andrea; L'Abbate, Luca; Benoni, Roberto; Fiore, Elena Sofia; Tari, Michele; Alibrandi, Angela; Trifirò, Gianluca.
Afiliação
  • Ingrasciotta Y; Department of Diagnostics and Public Health, University of Verona, Verona, Italy.
  • Isgrò V; Academic Spin-off "INSPIRE - Innovative Solutions for Medical Prediction and Big Data Integration in Real World Setting" - Azienda Ospedaliera Universitaria "G. Martino", Messina, Italy.
  • Foti SS; Department of Diagnostics and Public Health, University of Verona, Verona, Italy.
  • Ientile V; Academic Spin-off "INSPIRE - Innovative Solutions for Medical Prediction and Big Data Integration in Real World Setting" - Azienda Ospedaliera Universitaria "G. Martino", Messina, Italy.
  • Fontana A; Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Messina, Italy.
  • L'Abbate L; Unit of Biostatistics, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni, Rotondo, Italy.
  • Benoni R; Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Messina, Italy.
  • Fiore ES; Department of Diagnostics and Public Health, University of Verona, Verona, Italy.
  • Tari M; Department of Diagnostics and Public Health, University of Verona, Verona, Italy.
  • Alibrandi A; Caserta-1 Local Health Service, Caserta, Italy.
  • Trifirò G; Department of Economics, University of Messina, Messina, Italy.
Clin Epidemiol ; 15: 309-321, 2023.
Article em En | MEDLINE | ID: mdl-36936062

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Clin Epidemiol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Itália

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Clin Epidemiol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Itália