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Machine-learning model successfully predicts patients at risk for prolonged postoperative opioid use following elective knee arthroscopy.
Lu, Yining; Forlenza, Enrico; Wilbur, Ryan R; Lavoie-Gagne, Ophelie; Fu, Michael C; Yanke, Adam B; Cole, Brian J; Verma, Nikhil; Forsythe, Brian.
Afiliação
  • Lu Y; Department of Orthopaedic Surgery, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA. ylu73@uic.edu.
  • Forlenza E; Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, IL, USA.
  • Wilbur RR; Department of Orthopaedic Surgery, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
  • Lavoie-Gagne O; Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, IL, USA.
  • Fu MC; Department of Orthopaedic Surgery, Hospital for Special Surgery, New York, NY, USA.
  • Yanke AB; Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, IL, USA.
  • Cole BJ; Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, IL, USA.
  • Verma N; Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, IL, USA.
  • Forsythe B; Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, IL, USA.
Knee Surg Sports Traumatol Arthrosc ; 30(3): 762-772, 2022 Mar.
Article em En | MEDLINE | ID: mdl-33420807
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Analgésicos Opioides / Transtornos Relacionados ao Uso de Opioides Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / 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: Analgésicos Opioides / Transtornos Relacionados ao Uso de Opioides Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article