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Feasibility of Machine Learning and Logistic Regression Algorithms to Predict Outcome in Orthopaedic Trauma Surgery.
Oosterhoff, Jacobien H F; Gravesteijn, Benjamin Y; Karhade, Aditya V; Jaarsma, Ruurd L; Kerkhoffs, Gino M M J; Ring, David; Schwab, Joseph H; Steyerberg, Ewout W; Doornberg, Job N.
Afiliação
  • Oosterhoff JHF; Department of Orthopaedic Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
  • Gravesteijn BY; Department of Orthopaedic Surgery, Amsterdam Movement Sciences, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands.
  • Karhade AV; Department of Orthopaedic & Trauma Surgery, Flinders Medical Centre, Flinders University, Adelaide, South Australia, Australia.
  • Jaarsma RL; Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands.
  • Kerkhoffs GMMJ; Department of Orthopaedic Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
  • Ring D; Department of Orthopaedic & Trauma Surgery, Flinders Medical Centre, Flinders University, Adelaide, South Australia, Australia.
  • Schwab JH; Department of Orthopaedic Surgery, Amsterdam Movement Sciences, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands.
  • Steyerberg EW; Department of Surgery and Perioperative Care, Dell Medical School, University of Texas, Austin, Texas.
  • Doornberg JN; Department of Orthopaedic Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
J Bone Joint Surg Am ; 104(6): 544-551, 2022 03 16.
Article em En | MEDLINE | ID: mdl-34921550
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article