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Considerations for advancing nephrology research and practice through natural language processing.
Parr, Sharidan K; Gobbel, Glenn T.
Affiliation
  • Parr SK; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA; Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA. Electronic address: sharidan.k.parr@vumc.org.
  • Gobbel GT; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA; Veteran Affairs Tennessee Valley Healthcare System, Nashville, Tennessee, USA; Division of General Internal Medicine and Public Health, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Kidney Int ; 97(2): 263-265, 2020 02.
Article in En | MEDLINE | ID: mdl-31980076
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Full text: 1 Database: MEDLINE Main subject: Natural Language Processing / Nephrology Type of study: Prognostic_studies / Qualitative_research Limits: Humans Language: En Journal: Kidney Int Year: 2020 Type: Article
Fulltext
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Full text: 1 Database: MEDLINE Main subject: Natural Language Processing / Nephrology Type of study: Prognostic_studies / Qualitative_research Limits: Humans Language: En Journal: Kidney Int Year: 2020 Type: Article