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Identification of glomerulosclerosis using IBM Watson and shallow neural networks.
Pesce, Francesco; Albanese, Federica; Mallardi, Davide; Rossini, Michele; Pasculli, Giuseppe; Suavo-Bulzis, Paola; Granata, Antonio; Brunetti, Antonio; Cascarano, Giacomo Donato; Bevilacqua, Vitoantonio; Gesualdo, Loreto.
  • Pesce F; Nephrology, Dialysis, and Transplantation Unit, Department of Emergency and Organ Transplantation, University of Bari Aldo Moro, Bari, Italy. francesco.pesce@uniba.it.
  • Albanese F; Nephrology, Dialysis, and Transplantation Unit, Department of Emergency and Organ Transplantation, University of Bari Aldo Moro, Bari, Italy.
  • Mallardi D; Nephrology, Dialysis, and Transplantation Unit, Department of Emergency and Organ Transplantation, University of Bari Aldo Moro, Bari, Italy.
  • Rossini M; Nephrology, Dialysis, and Transplantation Unit, Department of Emergency and Organ Transplantation, University of Bari Aldo Moro, Bari, Italy.
  • Pasculli G; Nephrology, Dialysis, and Transplantation Unit, Department of Emergency and Organ Transplantation, University of Bari Aldo Moro, Bari, Italy.
  • Suavo-Bulzis P; Department of Computer, Control and Management Engineering Antonio Ruberti (DIAG), La Sapienza University, Rome, Italy.
  • Granata A; Nephrology, Dialysis, and Transplantation Unit, Department of Emergency and Organ Transplantation, University of Bari Aldo Moro, Bari, Italy.
  • Brunetti A; Nephrology and Dialysis Unit, "Cannizzaro" Hospital, 95123, Catania, Italy.
  • Cascarano GD; Department of Electrical and Information Engineering (DEI), Polytechnic University of Bari, Italy, Via Edoardo Orabona, 4, 70125, Bari, Italy.
  • Bevilacqua V; Department of Electrical and Information Engineering (DEI), Polytechnic University of Bari, Italy, Via Edoardo Orabona, 4, 70125, Bari, Italy.
  • Gesualdo L; Department of Electrical and Information Engineering (DEI), Polytechnic University of Bari, Italy, Via Edoardo Orabona, 4, 70125, Bari, Italy.
J Nephrol ; 35(4): 1235-1242, 2022 05.
Article en En | MEDLINE | ID: mdl-35041197

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Enfermedades Renales Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Female / Humans / Male Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Enfermedades Renales Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Female / Humans / Male Idioma: En Año: 2022 Tipo del documento: Article