Your browser doesn't support javascript.
loading
Word2vec Word Embedding-Based Artificial Intelligence Model in the Triage of Patients with Suspected Diagnosis of Major Ischemic Stroke: A Feasibility Study.
Desai, Antonio; Zumbo, Aurora; Giordano, Mauro; Morandini, Pierandrea; Laino, Maria Elena; Azzolini, Elena; Fabbri, Andrea; Marcheselli, Simona; Giotta Lucifero, Alice; Luzzi, Sabino; Voza, Antonio.
Afiliação
  • Desai A; Emergency Department, IRCCS Humanitas Research Hospital, 20089 Milan, Italy.
  • Zumbo A; Department of Biomedical Sciences, Humanitas University, 20072 Milan, Italy.
  • Giordano M; Department of Biomedical Sciences, Humanitas University, 20072 Milan, Italy.
  • Morandini P; Internal Medicine, Humanitas Research Hospital, 20089 Milan, Italy.
  • Laino ME; Department of Advanced Medical and Surgical Sciences, University of Campania "L. Vanvitelli", 80138 Naples, Italy.
  • Azzolini E; Artificial Intelligence Center, Humanitas Clinical and Research Center-IRCCS, 20089 Milan, Italy.
  • Fabbri A; Department of Radiology, IRCCS Humanitas Research Hospital, 20089 Milan, Italy.
  • Marcheselli S; Emergency Department, IRCCS Humanitas Research Hospital, 20089 Milan, Italy.
  • Giotta Lucifero A; Health Directorate, IRCCS Humanitas Research Hospital, 20089 Milan, Italy.
  • Luzzi S; Department of Systems Medicine, University of Rome "Tor Vergata", 00133 Rome, Italy.
  • Voza A; Stroke Unit, IRCCS Humanitas Research Hospital, 20089 Milan, Italy.
Int J Environ Res Public Health ; 19(22)2022 11 19.
Article em En | MEDLINE | ID: mdl-36430014
Assuntos
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / AVC Isquêmico Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_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 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / AVC Isquêmico Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article