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FedScore: A privacy-preserving framework for federated scoring system development.
Li, Siqi; Ning, Yilin; Ong, Marcus Eng Hock; Chakraborty, Bibhas; Hong, Chuan; Xie, Feng; Yuan, Han; Liu, Mingxuan; Buckland, Daniel M; Chen, Yong; Liu, Nan.
Afiliación
  • Li S; Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore.
  • Ning Y; Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore.
  • Ong MEH; Programme in Health Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore; Health Services Research Centre, Singapore Health Services, Singapore, Singapore; Department of Emergency Medicine, Singapore General Hospital, Singapore, Singapore.
  • Chakraborty B; Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore; Programme in Health Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore; Department of Statistics and Data Science, National University of Singapore, Singapore, Singapore; Department of Biostati
  • Hong C; Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA.
  • Xie F; Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore; Programme in Health Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore.
  • Yuan H; Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore.
  • Liu M; Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore.
  • Buckland DM; Department of Emergency Medicine, Duke University School of Medicine, Durham, NC, USA.
  • Chen Y; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA.
  • Liu N; Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore; Programme in Health Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore; Institute of Data Science, National University of Singapore, Singapore, Singapore. Electronic address: liu.nan@duke-nus.e
J Biomed Inform ; 146: 104485, 2023 Oct.
Article en En | MEDLINE | ID: mdl-37660960

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: J Biomed Inform Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Singapur

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: J Biomed Inform Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Singapur