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Limestone: high-throughput candidate phenotype generation via tensor factorization.
Ho, Joyce C; Ghosh, Joydeep; Steinhubl, Steve R; Stewart, Walter F; Denny, Joshua C; Malin, Bradley A; Sun, Jimeng.
Afiliação
  • Ho JC; Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX 78712, United States. Electronic address: joyceho@utexas.edu.
  • Ghosh J; Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX 78712, United States.
  • Steinhubl SR; Scripps Translational Science Institute, Scripps Health, La Jolla, CA 92037, United States.
  • Stewart WF; Sutter Health Research, Development, and Dissemination Team, Sutter Health, Walnut Creek, CA 94598, United States.
  • Denny JC; Department of Biomedical Informatics, Vanderbilt University, Nashville, TN 37232, United States; Department of Medicine, Vanderbilt University, Nashville, TN 37232, United States.
  • Malin BA; Department of Biomedical Informatics, Vanderbilt University, Nashville, TN 37232, United States; Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN 37232, United States.
  • Sun J; School of Computational Science and Engineering at College of Computing, Georgia Institute of Technology, Atlanta, GA 30332, United States.
J Biomed Inform ; 52: 199-211, 2014 Dec.
Article em En | MEDLINE | ID: mdl-25038555
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Registros Eletrônicos de Saúde / Mineração de Dados Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2014 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Registros Eletrônicos de Saúde / Mineração de Dados Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2014 Tipo de documento: Article