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A Machine Learning Approach for Postoperative Outcome Prediction: Surgical Data Science Application in a Thoracic Surgery Setting.
Salati, Michele; Migliorelli, Lucia; Moccia, Sara; Andolfi, Marco; Roncon, Alberto; Guiducci, Gian Marco; Xiumè, Francesco; Tiberi, Michela; Frontoni, Emanuele; Refai, Majed.
Afiliação
  • Salati M; Unit of Thoracic Surgery, AOU Ospedali Riuniti of Ancona, Via Conca 71, 60126, Ancona, Italy. michelesalati@hotmail.com.
  • Migliorelli L; Department of Information Engineering, Università Politecnica Delle Marche, Ancona, Italy.
  • Moccia S; Department of Information Engineering, Università Politecnica Delle Marche, Ancona, Italy.
  • Andolfi M; Unit of Thoracic Surgery, AOU Ospedali Riuniti of Ancona, Via Conca 71, 60126, Ancona, Italy.
  • Roncon A; Unit of Thoracic Surgery, AOU Ospedali Riuniti of Ancona, Via Conca 71, 60126, Ancona, Italy.
  • Guiducci GM; Unit of Thoracic Surgery, AOU Ospedali Riuniti of Ancona, Via Conca 71, 60126, Ancona, Italy.
  • Xiumè F; Unit of Thoracic Surgery, AOU Ospedali Riuniti of Ancona, Via Conca 71, 60126, Ancona, Italy.
  • Tiberi M; Unit of Thoracic Surgery, AOU Ospedali Riuniti of Ancona, Via Conca 71, 60126, Ancona, Italy.
  • Frontoni E; Department of Information Engineering, Università Politecnica Delle Marche, Ancona, Italy.
  • Refai M; Unit of Thoracic Surgery, AOU Ospedali Riuniti of Ancona, Via Conca 71, 60126, Ancona, Italy.
World J Surg ; 45(5): 1585-1594, 2021 05.
Article em En | MEDLINE | ID: mdl-33594578

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cirurgia Torácica Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: World J Surg Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cirurgia Torácica Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: World J Surg Ano de publicação: 2021 Tipo de documento: Article