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External validation of a deep-learning model to predict severe acute kidney injury based on urine output changes in critically ill patients.
Alfieri, Francesca; Ancona, Andrea; Tripepi, Giovanni; Randazzo, Vincenzo; Paviglianiti, Annunziata; Pasero, Eros; Vecchi, Luigi; Politi, Cristina; Cauda, Valentina; Fagugli, Riccardo Maria.
Affiliation
  • Alfieri F; Department of Applied Science and Technology, Politecnico di Torino, C.so Duca degli Abruzzi 24, 10129, Turin, Italy.
  • Ancona A; Department of Applied Science and Technology, Politecnico di Torino, C.so Duca degli Abruzzi 24, 10129, Turin, Italy.
  • Tripepi G; CNR-IFC, Clinical Epidemiology and Pathophysiology of Renal Diseases and Hypertension, Nefrologia-Ospedali Riuniti, 89100, Reggio Calabria, Italy.
  • Randazzo V; Department of Electronics and Telecommunications, Politecnico di Torino, C.so Duca degli Abruzzi 24, 10129, Turin, Italy.
  • Paviglianiti A; Department of Electronics and Telecommunications, Politecnico di Torino, C.so Duca degli Abruzzi 24, 10129, Turin, Italy.
  • Pasero E; Department of Electronics and Telecommunications, Politecnico di Torino, C.so Duca degli Abruzzi 24, 10129, Turin, Italy.
  • Vecchi L; S.C. Nefrologia e Dialisi, Azienda Ospedaliera di Terni, viale Tristano di Joannuccio, 05100, Terni, Italy.
  • Politi C; CNR-IFC, Clinical Epidemiology and Pathophysiology of Renal Diseases and Hypertension, Nefrologia-Ospedali Riuniti, 89100, Reggio Calabria, Italy.
  • Cauda V; Department of Applied Science and Technology, Politecnico di Torino, C.so Duca degli Abruzzi 24, 10129, Turin, Italy. valentina.cauda@polito.it.
  • Fagugli RM; S.C. Nefrologia e Dialisi, Azienda Ospedaliera di Terni, viale Tristano di Joannuccio, 05100, Terni, Italy. riccardomaria@fagugli.eu.
J Nephrol ; 35(8): 2047-2056, 2022 11.
Article in En | MEDLINE | ID: mdl-35554875
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Acute Kidney Injury / Deep Learning Type of study: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Humans Language: En Journal: J Nephrol Journal subject: NEFROLOGIA Year: 2022 Document type: Article Affiliation country: Italia
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Acute Kidney Injury / Deep Learning Type of study: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Humans Language: En Journal: J Nephrol Journal subject: NEFROLOGIA Year: 2022 Document type: Article Affiliation country: Italia