Big Data Approaches in Heart Failure Research.

Journal: Current heart failure reports
Published Date: Oct 1, 2020

Abstract

PURPOSE OF REVIEW: The goal of this review is to summarize the state of big data analyses in the study of heart failure (HF). We discuss the use of big data in the HF space, focusing on "omics" and clinical data. We address some limitations of this data, as well as their future potential.

Authors

  • Jan D Lanzer
    Institute for Computational Biomedicine, Bioquant, Heidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Heidelberg, Germany.
  • Florian Leuschner
    Department of Internal Medicine III, University of Heidelberg, Im Neuenheimer Feld 410, 69120, Heidelberg, Germany.
  • Rafael Kramann
    Department of Nephrology and Clinical Immunology, RWTH Aachen University, Aachen, Germany.
  • Rebecca T Levinson
    Institute for Computational Biomedicine, Bioquant, Heidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Heidelberg, Germany.
  • Julio Saez-Rodriguez
    Institute for Computational Biomedicine, Heidelberg University, Faculty of Medicine, Heidelberg University Hospital, Bioquant, Heidelberg, Germany.

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