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Prediction of complications of type 2 Diabetes: A Machine learning approach.
Nicolucci, Antonio; Romeo, Luca; Bernardini, Michele; Vespasiani, Marco; Rossi, Maria Chiara; Petrelli, Massimiliano; Ceriello, Antonio; Di Bartolo, Paolo; Frontoni, Emanuele; Vespasiani, Giacomo.
Afiliação
  • Nicolucci A; Center for Outcomes Research and Clinical Epidemiology - CORESEARCH, Pescara, Italy. Electronic address: nicolucci@coresearch.it.
  • Romeo L; Department of Information Engineering, Università Politecnica delle Marche, Ancona, Italy.
  • Bernardini M; Department of Information Engineering, Università Politecnica delle Marche, Ancona, Italy.
  • Vespasiani M; METEDA s.r.l., Rome, Italy.
  • Rossi MC; Center for Outcomes Research and Clinical Epidemiology - CORESEARCH, Pescara, Italy.
  • Petrelli M; Clinic of Endocrinology and Metabolic Diseases, Department of Clinical and Molecular Sciences, Marche Polytechnic University, Ancona, Italy.
  • Ceriello A; IRCCS MultiMedica, Milan, Italy.
  • Di Bartolo P; Diabetes Unit, AUSL Romagna, Ravenna, Italy.
  • Frontoni E; Department of Information Engineering, Università Politecnica delle Marche, Ancona, Italy.
  • Vespasiani G; METEDA s.r.l., Rome, Italy.
Diabetes Res Clin Pract ; 190: 110013, 2022 Aug.
Article em En | MEDLINE | ID: mdl-35870573
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doenças Vasculares Periféricas / Diabetes Mellitus Tipo 2 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doenças Vasculares Periféricas / Diabetes Mellitus Tipo 2 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article