(1) Obstacles and options for big-data applications in biomedicine: The role of standards and normalizations

  • Chute C
  • 10


    Mendeley users who have this article in their library.
  • N/A


    Citations of this article.


Advances in computing capabilities are palpably evident throughout many industries manifest by unprecedented, large-scale data integration and inferencing. Branded as "big-data" in many cases, the question of whether such techniques can leverage advances in biomedicine and clinical practice are obvious. High-throughput clinical analytics, synthesizing genomic and clinical attributes of a particular patient, portends predictive models that can directly influence clinical care decisions. However, to make this widely shared vision practical and scalable, barriers attributable to data heterogeneity dominate. Methods and strategies to increase the comparability and consistency of healthcare related data will be discussed.

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document


  • Christopher G. Chute

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free