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Big Data in Cardiovascular Disease

  • Cardiovascular Disease (R Foraker, Section Editor)
  • Published:
Current Epidemiology Reports Aims and scope Submit manuscript

Abstract

Purpose of Review

Cardiovascular diseases exert a wide-reaching epidemiological impact as the number one cause of death worldwide. Emerging technologies such as big data and artificial intelligence (AI) are poised to significantly change the field of cardiology. However, their applications are still emerging. We aimed to define the role of big data and AI in cardiovascular disease with a focus on research.

Recent Findings

There are zettabyte levels (1021 bytes) of big data in the US that can be directed towards healthcare research. There are applications of big data analytics already being put to use with genomics, heart failure readmissions, echocardiography, and many other areas within cardiology.

Summary

We profile in this paper an extensive listing of various datasets used throughout the globe to study big data. Within cardiology, there is tremendous potential for the application of big data analytics in personalized patient care; however, they still require validation.

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Authors and Affiliations

  1. Cardiovascular Institute, Warren Alpert Medical School of Brown University, Providence, RI, USA

    Fabio V. Lima & Raymond Russell

  2. Rhode Island Hospital, 593 Eddy Street, APC 7th floor, Room 736A, Providence, RI, 02903, USA

    Fabio V. Lima & Raymond Russell

  3. Department of Cardiology, St. Francis Hospital, Roslyn, NY, USA

    Regina Druz

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  1. Fabio V. Lima
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Correspondence to Fabio V. Lima.

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Fabio V. Lima and Regina Druz each declare no potential conflicts of interest. Raymond Russell reports personal fees from ResTORbio, outside the submitted work. His spouse is employed by ResTORbio and also receives stock options. The company is developing novel drugs to treat pulmonary infections as well as Parkinson’s disease and therefore not related to the content of this manuscript.

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Lima, F.V., Russell, R. & Druz, R. Big Data in Cardiovascular Disease. Curr Epidemiol Rep 6, 329–346 (2019). https://doi.org/10.1007/s40471-019-00209-1

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