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Deep Learning Utilizing Suboptimal Spirometry Data to Improve Lung Function and Mortality Prediction in the UK Biobank.
Hill, Davin; Torop, Max; Masoomi, Aria; Castaldi, Peter J; Silverman, Edwin K; Bodduluri, Sandeep; Bhatt, Surya P; Yun, Taedong; McLean, Cory Y; Hormozdiari, Farhad; Dy, Jennifer; Cho, Michael H; Hobbs, Brian D.
Afiliação
  • Hill D; Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA.
  • Torop M; Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA.
  • Masoomi A; Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA.
  • Castaldi PJ; Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA.
  • Silverman EK; Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA.
  • Bodduluri S; Division of General Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA.
  • Bhatt SP; Harvard Medical School, Boston, MA, USA.
  • Yun T; Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA.
  • McLean CY; Harvard Medical School, Boston, MA, USA.
  • Hormozdiari F; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA.
  • Dy J; Division of Pulmonary, Allergy and Critical Care Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
  • Cho MH; Division of Pulmonary, Allergy and Critical Care Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
  • Hobbs BD; Google Research, Cambridge, MA, USA.
medRxiv ; 2023 Apr 29.
Article em En | MEDLINE | ID: mdl-37162978
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: MedRxiv Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: MedRxiv Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos