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Distributed learning for heterogeneous clinical data with application to integrating COVID-19 data across 230 sites.
Tong, Jiayi; Luo, Chongliang; Islam, Md Nazmul; Sheils, Natalie E; Buresh, John; Edmondson, Mackenzie; Merkel, Peter A; Lautenbach, Ebbing; Duan, Rui; Chen, Yong.
Afiliação
  • Tong J; Perelman School of Medicine, The University of Pennsylvania, Philadelphia, PA, USA.
  • Luo C; Division of Public Health Sciences, Department of Surgery, Washington University in St. Louis, St. Louis, MO, USA.
  • Islam MN; Optum Labs, UnitedHealth Group, Minnetonka, MN, USA.
  • Sheils NE; Optum Labs, UnitedHealth Group, Minnetonka, MN, USA.
  • Buresh J; Optum Labs, UnitedHealth Group, Minnetonka, MN, USA.
  • Edmondson M; Perelman School of Medicine, The University of Pennsylvania, Philadelphia, PA, USA.
  • Merkel PA; Perelman School of Medicine, The University of Pennsylvania, Philadelphia, PA, USA.
  • Lautenbach E; Perelman School of Medicine, The University of Pennsylvania, Philadelphia, PA, USA.
  • Duan R; Harvard T. H. Chan School of Public Health, Harvard University, Boston, MA, USA.
  • Chen Y; Perelman School of Medicine, The University of Pennsylvania, Philadelphia, PA, USA. ychen123@upenn.edu.
NPJ Digit Med ; 5(1): 76, 2022 Jun 14.
Article em En | MEDLINE | ID: mdl-35701668

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article