Big Data in Nephrology

Volume: 17, Issue: 10, Pages: 676 - 687
Published: Jun 30, 2021
Abstract
A huge array of data in nephrology is collected through patient registries, large epidemiological studies, electronic health records, administrative claims, clinical trial repositories, mobile health devices and molecular databases. Application of these big data, particularly using machine-learning algorithms, provides a unique opportunity to obtain novel insights into kidney diseases, facilitate personalized medicine and improve patient care....
Paper Details
Title
Big Data in Nephrology
Published Date
Jun 30, 2021
Volume
17
Issue
10
Pages
676 - 687
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.