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A hierarchical strategy to minimize privacy risk when linking "De-identified" data in biomedical research consortia.
Ohno-Machado, Lucila; Jiang, Xiaoqian; Kuo, Tsung-Ting; Tao, Shiqiang; Chen, Luyao; Ram, Pritham M; Zhang, Guo-Qiang; Xu, Hua.
Afiliación
  • Ohno-Machado L; UCSD Health Department of Biomedical Informatics, University of California San Diego Health, La Jolla, CA, USA; Biomedical Informatics & Data Science, Yale School of Medicine, New Haven, CT. Electronic address: Lucila.Ohno-Machado@Yale.edu.
  • Jiang X; School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA.
  • Kuo TT; UCSD Health Department of Biomedical Informatics, University of California San Diego Health, La Jolla, CA, USA.
  • Tao S; School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA.
  • Chen L; School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA.
  • Ram PM; School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA.
  • Zhang GQ; School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA.
  • Xu H; School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA; Biomedical Informatics & Data Science, Yale School of Medicine, New Haven, CT.
J Biomed Inform ; 139: 104322, 2023 03.
Article en En | MEDLINE | ID: mdl-36806328
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Privacidad / Investigación Biomédica Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Biomed Inform Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Privacidad / Investigación Biomédica Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Biomed Inform Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article